<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.1 20151215//EN" "http://jats.nlm.nih.gov/publishing/1.1/JATS-journalpublishing1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.1">
<front>
<journal-meta>
<journal-id journal-id-type="pmc">BIOCELL</journal-id>
<journal-id journal-id-type="nlm-ta">BIOCELL</journal-id>
<journal-id journal-id-type="publisher-id">BIOCELL</journal-id>
<journal-title-group>
<journal-title>BIOCELL</journal-title>
</journal-title-group>
<issn pub-type="epub">1667-5746</issn>
<issn pub-type="ppub">0327-9545</issn>
<publisher>
<publisher-name>Tech Science Press</publisher-name>
<publisher-loc>USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">24620</article-id>
<article-id pub-id-type="doi">10.32604/biocell.2023.024620</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>ABCC8 is correlated with immune cell infiltration and overall survival in lower grade glioma</article-title><alt-title alt-title-type="left-running-head">ABCC8 is correlated with immune cell infiltration and overall survival in lower grade glioma</alt-title><alt-title alt-title-type="right-running-head">ABCC8 correlates with lower grade glioma immunity and survival</alt-title>
</title-group>
<contrib-group content-type="authors">
<contrib id="author-1" contrib-type="author">
<name name-style="western"><surname>GONG</surname><given-names>LIPING</given-names></name>
<xref ref-type="aff" rid="aff-1">1</xref>
</contrib>
<contrib id="author-2" contrib-type="author" corresp="yes">
<name name-style="western"><surname>JIA</surname><given-names>MING</given-names></name>
<xref ref-type="aff" rid="aff-2">2</xref>
<email>laomao285535@163.com</email>
<email>14111230007@fudan.edu.cn</email>
</contrib>
<aff id="aff-1"><label>1</label><institution>Department of Academic Research, The Secondary Hospital, Cheeloo College of Medicine, Shandong University</institution>, <addr-line>Jinan, 250033</addr-line>, <country>China</country></aff>
<aff id="aff-2"><label>2</label><institution>Department of Cancer Center, The Secondary Hospital, Cheeloo College of Medicine, Shandong University</institution>, <addr-line>Jinan, 250033</addr-line>, <country>China</country></aff>
</contrib-group><author-notes><corresp id="cor1"><label>&#x002A;</label>Address correspondence to: Ming Jia, <email>laomao285535@163.com</email>; <email>14111230007@fudan.edu.cn</email></corresp></author-notes>
<pub-date pub-type="epub" date-type="pub" iso-8601-date="2022-09-23"><day>23</day>
<month>09</month>
<year>2022</year></pub-date>
<volume>47</volume>
<issue>1</issue>
<fpage>109</fpage>
<lpage>123</lpage>
<history>
<date date-type="received"><day>02</day><month>6</month><year>2022</year></date>
<date date-type="accepted"><day>14</day><month>7</month><year>2022</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 GONG and JIA</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>GONG and JIA</copyright-holder>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This work is licensed under a <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="TSP_BIOCELL_24620.pdf"></self-uri>
<abstract>
<p>ATP binding cassette subfamily C member 8 (ABCC8) encodes a protein regulating the ATP-sensitive potassium channel. Whether the level of ABCC8 mRNA in lower grade glioma (LGG) correlates with immune cell infiltration and patient outcomes has not been evaluated until now. Comparisons of ABCC8 expression between different tumors and normal tissues were evaluated by exploring publicly available datasets. The association between ABCC8 and tumor immune cell infiltration, diverse gene mutation characteristics, tumor mutation burden (TMB), and survival in LGG was also investigated in several independent datasets. Pathway enrichment analysis was conducted to search for ABCC8-associated signaling pathways. Through an online database, we found that ABCC8 expression in LGG was lower than in normal tissues. Then, the association of ABCC8 expression and immune cell infiltration in LGG was discussed. As we expected, the ABCC8 mRNA levels were negatively associated with non-T immune cell infiltration levels in all datasets. Consistently, TCGA_LGG RNA-seq data revealed that ABCC8 downregulated several non-T immune cell-associated signaling pathways in gene set enrichment analysis. Different ABCC8 expression groups showed diverse gene mutation characteristics and TMB. The high expression of ABCC8 was linked to improved survival of LGG patients. A pathway enrichment analysis of ABCC8-associated genes indicated that the GABAergic synapse signaling pathway might be involved in regulating immunity in LGG. Our findings show that ABCC8 reflects LGG tumor immunity and is an ideal prognostic biomarker for LGG.</p>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>ABCC8</kwd>
<kwd>Lower grade glioma</kwd>
<kwd>Tumor immunity</kwd>
<kwd>Tumor mutation burden</kwd>
<kwd>Prognostic biomarker</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Lower grade glioma (LGG) is a heterogeneous malignant brain tumor in humans that amounts to approximately 20% of intracranial tumors (<xref ref-type="bibr" rid="ref-17">Hoshide and Jandial, 2016</xref>). It was identified as grades II and III brain tumors by the World Health Organization. The incidence is estimated to be approximately 0.8 cases per 100,000 population (<xref ref-type="bibr" rid="ref-27">Nakasu and Nakasu, 2022</xref>). LGGs arise from supporting glial cells and usually affect young adults, and their main treatment involves surgical resection, followed by radiation and chemotherapy (<xref ref-type="bibr" rid="ref-52">Youssef and Miller, 2020</xref>). They are slowly growing tumors and often lack symptoms, except for seizures (<xref ref-type="bibr" rid="ref-28">Nakasu <italic>et al</italic>., 2021</xref>). While the pathogenesis mechanisms and risk factors for LGG are poorly understood, it seems plausible that an association of genetic susceptibility and biological, functional, and environmental factors influences the process (<xref ref-type="bibr" rid="ref-10">Darlix <italic>et al</italic>., 2017</xref>). The overall survival (OS) of LGG varies dramatically, as does the patient&#x2019;s response to standard therapy (<xref ref-type="bibr" rid="ref-6">Brat and Pachter, 2015</xref>). For decades, there have been no significant improvements in the treatment of LGG; thus, the prognosis has not changed significantly (<xref ref-type="bibr" rid="ref-9">Claus <italic>et al</italic>., 2015</xref>).</p>
<p>Recently, immunotherapy has become an extremely promising strategy for many types of cancers and may help us improve the survival rate of patients with LGG. A dysfunctional immune response leads to tumor immune evasion in gliomas (<xref ref-type="bibr" rid="ref-47">Wang <italic>et al</italic>., 2018</xref>). Immunotherapy can block the dysfunction and kill cancer cells by activating the immune system (<xref ref-type="bibr" rid="ref-8">Chuah and Chew, 2020</xref>). Currently, immune checkpoint inhibitors (ICIs) are the most successful immunotherapy drugs in use, while programmed death-ligand 1 (PD-L1) expression, microsatellite instability, mismatch repair, and tumor mutation burden (TMB) are the most valuable biomarkers for predicting ICI efficiency (<xref ref-type="bibr" rid="ref-16">Hodges <italic>et al</italic>., 2017</xref>; <xref ref-type="bibr" rid="ref-31">Rizvi <italic>et al</italic>., 2018</xref>). <xref ref-type="bibr" rid="ref-51">Yin <italic>et al</italic>. (2020)</xref> found that TMB is negatively related to immune infiltration and OS in LGG. However, unlike other prevalent solid malignant tumors, the immune activity and immunotherapy efficiency are still largely unknown in LGG and need to be studied further.</p>
<p>ATP binding cassette subfamily C member 8 (ABCC8), an ATP-binding cassette (ABC) transporter, leads to multidrug resistance in many kinds of cancer cells by pumping anticancer agents out. ABCC8 variant was linked with diabetes and hypertension by numerous studies (<xref ref-type="bibr" rid="ref-4">Beltrand <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="ref-11">de Franco <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="ref-12">Flagg <italic>et al</italic>., 2007</xref>; <xref ref-type="bibr" rid="ref-36">Southgate <italic>et al</italic>., 2020</xref>). Recently, <xref ref-type="bibr" rid="ref-29">Rehman <italic>et al</italic>. (2022</xref>, <xref ref-type="bibr" rid="ref-30">2020)</xref> also reported that the genetic variant of ABCC8 is associated with cardiac diseases and metabolic disorders. Loss-of-function mutations of ABCC8 were also reported by <xref ref-type="bibr" rid="ref-5">Bohnen <italic>et al</italic>. (2018)</xref> to be associated with pulmonary arterial hypertension (<xref ref-type="bibr" rid="ref-5">Bohnen <italic>et al</italic>., 2018</xref>). Its expression was found to promote cerebral edema after brain ischemia and injury (<xref ref-type="bibr" rid="ref-1">Alquisiras-Burgos <italic>et al</italic>., 2020</xref>). The expression of ABCC8 was also decreased in pancreatic, lung, and breast cancers. Interestingly, in these tumors, ABCC8 expression was linked to favorable survival (<xref ref-type="bibr" rid="ref-15">Hlavac <italic>et al</italic>., 2013</xref>; <xref ref-type="bibr" rid="ref-26">Mohelnikova-Duchonova <italic>et al</italic>., 2013</xref>; <xref ref-type="bibr" rid="ref-48">Wang <italic>et al</italic>., 2020</xref>). A recent study reported that ABCC8 mRNA levels are positively related to survival in patients with glioma (<xref ref-type="bibr" rid="ref-56">Zhou <italic>et al</italic>., 2020</xref>). ABC transporters regulate the development, differentiation, and maturation of immune cells and are involved in the migration of immune effector cells to sites of inflammation (<xref ref-type="bibr" rid="ref-44">van de Ven <italic>et al</italic>., 2009</xref>). They were also shown recently to regulate T-cell populations, such as thymocytes, natural killer T cells, CD8&#x002B; T cells, and regulatory T cells (<xref ref-type="bibr" rid="ref-43">Thurm <italic>et al</italic>., 2021</xref>). One family member, ABCC5, was shown by <xref ref-type="bibr" rid="ref-7">Chen <italic>et al</italic>. (2021)</xref> to be associated with immune infiltration of hepatocellular carcinoma. However, whether ABCC8 participates in immune responses and provides survival benefits in LGG is still not clear and needs to be investigated.</p>
<p>In this study, we systematically evaluated whether ABCC8 expression reflects the immune microenvironment of LGG tumor tissues. The results were verified in several independent datasets. We also attempted to identify the related signaling pathways. The association between ABCC8 gene expression and LGG patient survival was also investigated. This study might help identify an ideal biomarker for predicting survival and sensitivity to immunotherapy in patients with LGG.</p>
</sec>
<sec id="s2">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Data collection</title>
<p>Gene expression data and clinical information of LGG patients from The Cancer Genome Atlas (TCGA_LGG) database were obtained from the UCSC website (<uri xlink:href="http://xena.ucsc.edu/public">http://xena.ucsc.edu/public</uri>) on October 01, 2021. The RNA expression levels and survival information of LGG patients in the REMBRANDT dataset and CGGA datasets were downloaded from the CGGA website (<uri xlink:href="http://www.cgga.org.cn/index.jsp">http://www.cgga.org.cn/index.jsp</uri>) on the same day (<xref ref-type="bibr" rid="ref-3">Bao <italic>et al</italic>., 2014</xref>; <xref ref-type="bibr" rid="ref-22">Liu <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="ref-46">Wang <italic>et al</italic>., 2015</xref>; <xref ref-type="bibr" rid="ref-54">Zhao <italic>et al</italic>., 2017</xref>).</p>
<p>If the same patient provided two or more tumor samples to those datasets, only the data of the primary lesion were selected according to the sample numbers. Gene expression data of fragments per kilobase per million were converted to transcripts per million and then log-transformed to provide more precise results. Gene symbols were extracted from the provided documents from the dataset websites.</p>
<p>ABCC8 expression levels between diverse cancer types and normal tissues were analyzed by Gene Expression Profiling Interactive Analysis (GEPIA) (<uri xlink:href="http://gepia.cancerpku.cn/index.html">http://gepia.cancerpku.cn/index.html</uri>) (<xref ref-type="bibr" rid="ref-40">Tang <italic>et al</italic>., 2017</xref>). The cutoff value of probability was 0.05.</p>
</sec>
<sec id="s2_2">
<title>Correlation between ABCC8 and tumor immune cell infiltration</title>
<p>We studied the relationship between ABCC8 and the infiltration of six immune cell types (CD4&#x002B; T cells, CD8&#x002B; T cells, B cells, macrophages, dendritic cells, and neutrophils) in LGG tumor tissues from the TCGA dataset through TIMER (<uri xlink:href="https://cistrome.shinyapps.io/timer/">https://cistrome.shinyapps.io/timer/</uri>). The relationship between gene expression levels and the degree of tumor purity is shown in the first panel of <xref ref-type="fig" rid="fig-2">Fig. 2A</xref> (<xref ref-type="bibr" rid="ref-2">Aran <italic>et al</italic>., 2015</xref>). In addition, we also investigated the associations between the expression of ABCC8 and six highly researched immunotherapy-targeted genes by correlation modules. The hypothesis test at <italic>p</italic> &#x003C; 0.05 was considered statistically significant.</p>
<p>Then, the CGGA datasets with the same type of RNA-seq expression levels as the TCGA dataset were chosen to validate the association of ABCC8 and immune cell infiltration in LGG. The infiltration levels of six immune cells were calculated using the same method as TIMER via the immunedeconv package in R (<xref ref-type="bibr" rid="ref-37">Sturm <italic>et al</italic>., 2019</xref>). The input data were converted to transcripts per million normalized without log transformation.</p>
</sec>
<sec id="s2_3">
<title>Correlation between ABCC8 and tumor mutation burden</title>
<p>The Mutation Annotation Format (MAF) file containing all gene mutation characteristics of tumor samples (workflow type: VarScan2) of the TCGA_LGG cohort was downloaded from the GDC database (<uri xlink:href="https://portal.gdc.cancer.gov/">https://portal.gdc.cancer.gov/</uri>). The gene mutation characteristics and TMB of different ABCC8 expression groups were analyzed by the maftools package in R.</p>
</sec>
<sec id="s2_4">
<title>Gene set enrichment analysis (GESA)</title>
<p>Pathways obviously related to ABCC8 mRNA levels were analyzed using GSEA through GSEA software 4.0.0 (<xref ref-type="bibr" rid="ref-38">Subramanian <italic>et al</italic>., 2005</xref>). The gene set database was C2.cp.kegg.v7.4. symbols.gmt. The pathways enriched with a PFWER &#x003C; 0.1 were considered significant.</p>
</sec>
<sec id="s2_5">
<title>Network module analysis</title>
<p>The top 50 ABCC8-associated genes were screened from the RNA-seq data of LGG samples on the Cancer Genomics website (cBioPortal: <uri xlink:href="https://www.cbioportal.org">https://www.cbioportal.org</uri>). The resulting protein network was built on the STRING website (<uri xlink:href="https://string-db.org/">https://string-db.org/</uri>) (<xref ref-type="bibr" rid="ref-39">Szklarczyk <italic>et al</italic>., 2021</xref>). Moreover, the WEB-based gene set analysis toolkit (<uri xlink:href="http://www.webgestalt.org/">http://www.webgestalt.org/</uri>) was applied to launch the gene ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (<xref ref-type="bibr" rid="ref-21">Liao <italic>et al</italic>., 2019</xref>).</p>
</sec>
<sec id="s2_6">
<title>Statistical analysis</title>
<p>We implemented all statistical analyses with R version 4.0.5 (R Foundation for Statistical Computing, Vienna, Austria) and GraphPad Prism 6.01 (GraphPad Software, Inc., San Diego, CA, USA). LGG patients were divided into two groups (ABCC8 low expression and high expression groups) by the median ABCC8 mRNA expression levels in the CGGA, REMBRANDT, and TCGA databases. Overall survival analysis between the two groups was conducted by Kaplan&#x2013;Meier curves with the Wilcoxon log-rank test. Multiple factor analyses were carried out by the Cox regression model and are presented in forest plots. The correlation between ABCC8 gene expression and other genes was assessed by Spearman&#x2019;s correlation analysis. Spearman&#x2019;s correlation analysis was used to search for ABCC8-related genes. The entry criterion was a statistical <italic>p</italic> &#x003C; 0.05.</p>
</sec>
</sec>
<sec id="s3">
<title>Results</title>
<sec id="s3_1">
<title>The level of ABCC8 mRNA in multiple cancer types</title>
<p>The DiffExp module of TIMER displayed the ABCC8 mRNA levels in different tumors together with their adjacent normal tissues. As shown in <xref ref-type="fig" rid="fig-1">Fig. 1A</xref>, ABCC8 expression in bladder cancer, colon cancer, esophageal cancer, head and neck cancer, kidney cancer, lung cancer, prostate cancer, rectal cancer, stomach cancer, thyroid cancer, and uterine corpus endometrial carcinoma was lower than that in adjacent normal tissues. However, it was significantly higher in cholangiocarcinoma and liver cancer than in adjacent normal tissue. For LGG, ABCC8 mRNA was higher in metastatic tumors than in primary tumors. However, there are no data comparing ABCC8 expression between tumors and adjacent normal tissues in LGG owing to the absence of a normal tissue sample.</p>
<fig id="fig-1">
<label>Figure 1</label>
<caption>
<title>ABCC8 expression levels in different types of cancers. (A) The expression levels of ABCC8 in cancer and normal tissues in the TCGA database using TIMER. (B) The expression data of ABCC8 from the GEPIA database. (C) The expression of ABCC8 in LGG in cancer and normal tissues in the GEPIA database. &#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-1.png"/>
</fig>
<p>The GEPIA database was also applied to evaluate the expression of ABCC8 in various human tumors (<xref ref-type="fig" rid="fig-1">Fig. 1B</xref>). ABCC8 expression in cervical squamous cell carcinoma, endocervical adenocarcinoma, glioblastoma multiforme, colon cancer, lung cancer, rectal cancer, stomach cancer, thyroid cancer, ovarian serous cystadenocarcinoma, uterine corpus endometrial carcinoma, uterine carcinosarcoma, and LGG was lower than normal (<xref ref-type="fig" rid="fig-1">Fig. 1B</xref>). Furthermore, most results from the above datasets were consistent. For LGG, the detailed expression levels between tumor tissue and normal tissues are shown in <xref ref-type="fig" rid="fig-1">Fig. 1C</xref>, and the difference was significant (<italic>p</italic> &#x003C; 0.05).</p>
</sec>
<sec id="s3_2">
<title>Association between ABCC8 and immune cells</title>
<p>The gene module of TIMER was then used to study the relationship between ABCC8 and immune cell infiltration in various tumor tissues. There were close relationships between ABCC8 mRNA expression and most immune cells in several types of cancers, such as head and neck squamous cell cancer, stomach cancer, thyroid cancer, and thymoma (<xref ref-type="fig" rid="fig-9">Suppl. Figs. S1</xref>&#x2013;<xref ref-type="fig" rid="fig-11">S3</xref>). In LGG, the ABCC8 mRNA levels were negatively correlated with B cells, CD4&#x002B; T cells, CD8&#x002B; T cells, macrophages, neutrophils, and dendritic cells (<xref ref-type="fig" rid="fig-2">Fig. 2A</xref>). Additionally, the infiltration levels of B cells, CD4&#x002B; T cells, macrophages, neutrophils, and dendritic cells seemed to be connected to altered ABCC8 gene copy numbers (<xref ref-type="fig" rid="fig-2">Fig. 2B</xref>). However, there was no significant relationship between ABCC8 gene copy numbers, and CD8&#x002B; T-cell infiltration levels. We also tested the correlation of the infiltration levels of immune cells with the survival of LGG patients. As shown in <xref ref-type="fig" rid="fig-2">Fig. 2C</xref>, the infiltration levels of six immune cells were significantly associated with the survival of LGG patients, which indicated that tumor immunity might influence the tumor phenotype of LGG and lead to different events.</p>
<fig id="fig-2">
<label>Figure 2</label>
<caption>
<title>Correlation of ABCC8 expression, gene copy numbers and patient prognosis with immune infiltration levels in LGG. (A) The expression of ABCC8 is positively related to tumor purity and negatively correlated with the infiltrating levels of CD4&#x002B; T cells, CD8&#x002B; T cells, B cells, macrophages, neutrophils, and dendritic cells in LGG. The association between ABCC8 copy numbers and immune cell infiltration levels in LGG (B). Immune cell infiltration levels are significantly associated with the survival of LGG patients (C). &#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-2.png"/>
</fig>
<p>To validate the observed association between ABCC8 and immune cell infiltration in LGG, the immune cell infiltration levels in the CGGA datasets were estimated by the same method as TIMER. As shown in <xref ref-type="fig" rid="fig-3">Figs. 3A</xref> and <xref ref-type="fig" rid="fig-3">3B</xref>, ABCC8 mRNA levels had a clear negative correlation with the infiltration of B cells, macrophages, neutrophils, and dendritic cells. For CD8&#x002B; and CD4&#x002B; T cells, the results from different datasets were not consistent. Taken together, ABCC8 may affect the tumor immunity microenvironment by regulating non-T-cell immune cells.</p>
<fig id="fig-3">
<label>Figure 3</label>
<caption>
<title>Validation of the association between ABCC8 expression levels and immune infiltration levels of LGG in CGGA datasets. (A) The expression of ABCC8 is negatively correlated with the infiltrating levels of B cells, CD4&#x002B; T cells, macrophages, neutrophils, and dendritic cells in the CGGA mRNAseq_325 dataset. The expression of ABCC8 is negatively correlated with the infiltrating levels of B cells, CD8&#x002B; T cells, macrophages, neutrophils, and dendritic cells in the CGGA mRNAseq_693 (B) dataset.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-3.png"/>
</fig>
</sec>
<sec id="s3_3">
<title>Association between ABCC8 and immunotherapy-targeted genes</title>
<p>Because ABCC8 reflects the tumor immune activity of LGG, we further investigated the expression relationship between ABCC8 and six highly researched immunotherapy-targeted genes in patients from the TCGA-LGG dataset. After adjusting for tumor purity, we found a negative association between the expression of ABCC8 and PDCD1 (correlation coefficient (Cor &#x003D; &#x2212;0.327, <italic>p</italic> &#x003C; 0.001) (<xref ref-type="fig" rid="fig-4">Fig. 4A</xref>), CD274 (Cor &#x003D; &#x2212;0.125, <italic>p</italic> &#x003D; 0.006) (<xref ref-type="fig" rid="fig-4">Fig. 4B</xref>), CTLA4 (Cor &#x003D; &#x2212;0.242, <italic>p</italic> &#x003C; 0.001) (<xref ref-type="fig" rid="fig-4">Fig. 4C</xref>), LAG3 (Cor &#x003D; &#x2212;0.178, <italic>p</italic> &#x003C; 0.001) (<xref ref-type="fig" rid="fig-4">Fig. 4D</xref>) and HAVCR2/TIM3 (Cor &#x003D; &#x2212;0.495, <italic>p</italic> &#x003C; 0.001) (<xref ref-type="fig" rid="fig-4">Fig. 4E</xref>). However, only the expression of TIGIT was weakly positively related to the expression of ABCC8 (Cor &#x003D; 0.166, <italic>p</italic> &#x003C; 0.001) (<xref ref-type="fig" rid="fig-4">Fig. 4F</xref>). Owing to the higher expression of the five immunotherapy-targeted genes and the infiltration of cytotoxic lymphocytes, LGG patients with low ABCC8 expression may receive great survival improvement from combined ICI treatment. In summary, the expression of ABCC8 in LGG patients may help predict the sensitivity of immunotherapy.</p>
<fig id="fig-4">
<label>Figure 4</label>
<caption>
<title>Correlation of ABCC8 expression and the expression of six hot immunotherapy-targeted genes from the TCGA_LGG dataset. (A) The expression of ABCC8 is negatively related to PDCD1 expression. (B) The expression of ABCC8 is negatively related to CD274 expression. (C) The expression of ABCC8 is negatively related to CTLA4 expression. (D) The expression of ABCC8 is negatively related to LAG3 expression. (E) The expression of ABCC8 is negatively related to HAVCR2/TIM3 expression. (F) The expression of ABCC8 is positively related to TIGIT expression.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-4.png"/>
</fig>
</sec>
<sec id="s3_4">
<title>The prognostic implications of ABCC8 in lower grade glioma</title>
<p>To further investigate the prognostic value of ABCC8 in LGG, we selected LGG samples from TCGA, CGGA (mRNAseq_325, mRNAseq_693), and REMBRANDT datasets. A high ABCC8 mRNA expression levels corresponded with a favorable prognosis in LGG patients in the TCGA dataset (OS hazard ratio (HR) &#x003D; 0.260, 95% confidence interval (CI) &#x003D; 0.131&#x2013;0.514, <italic>p</italic> &#x003C; 0.001, respectively) (<xref ref-type="fig" rid="fig-5">Fig. 5A</xref>), CGGA mRNAseq_325 dataset (OS HR &#x003D; 0.264, 95% CI &#x003D; 0.171&#x2013;0.407, <italic>p</italic> &#x003C; 0.001, respectively) (<xref ref-type="fig" rid="fig-5">Fig. 5B</xref>), CGGA mRNAseq_693 dataset (OS HR &#x003D; 0.349, 95% CI &#x003D; 0.262&#x2013;0.465, <italic>p</italic> &#x003C; 0.001, respectively) (<xref ref-type="fig" rid="fig-5">Fig. 5C</xref>), and REMBRANDT dataset (OS HR &#x003D; 0.485, 95% CI &#x003D; 0.305&#x2013;0.714, <italic>p</italic> &#x003D; 0.0009, respectively) (<xref ref-type="fig" rid="fig-5">Fig. 5D</xref>). Multiple factor analyses showed ABCC8 as an independent predictive marker for OS in LGG regardless of age, sex, IDH mutation status, 1p19q codeletion status or MGMT methylation status in the TCGA dataset (OS HR &#x003D; 2.462, 95% CI &#x003D; 1.674&#x2013;3.520, <italic>p</italic> &#x003C; 0.001, respectively) (<xref ref-type="fig" rid="fig-5">Fig. 5E</xref>), CGGA mRNAseq_325 dataset (OS HR &#x003D; 2.031, 95% CI &#x003D; 1.237&#x2013;3.333, <italic>p</italic> &#x003D; 0.005, respectively) (<xref ref-type="fig" rid="fig-5">Fig. 5F</xref>), CGGA mRNAseq_693 dataset (OS HR &#x003D; 2.614, 95% CI &#x003D; 1.785&#x2013;3.828, <italic>p</italic> &#x003C; 0.001, respectively) (<xref ref-type="fig" rid="fig-5">Fig. 5G</xref>), and REMBRANDT dataset (OS HR &#x003D; 1.997, 95% CI &#x003D; 1.194&#x2013;3.340, <italic>p</italic> &#x003D; 0.008, respectively) (<xref ref-type="fig" rid="fig-5">Fig. 5H</xref>). These results suggest that the expression of ABCC8 may be independently correlated with variations in prognoses of patients with LGG.</p>
<fig id="fig-5">
<label>Figure 5</label>
<caption>
<title>Kaplan-Meier survival analysis of ABCC8 in LGG from different public datasets. (A) Kaplan-Meier overall survival analysis of ABCC8 in the TCGA_LGG dataset. (B) Kaplan-Meier overall survival analysis of ABCC8 in the CGGA mRNAseq_325 dataset. Kaplan-Meier overall survival analysis of ABCC8 in the CGGA mRNAseq_693 (C) and REMBRANDT (D) datasets. Forest plot showing the results of multiple factor Cox regression analysis of ABCC8 in OS of TCGA_LGG (E), CGGA mRNAseq_325 (F), CGGA mRNAseq_693 (G), and REMBRANDT (H) datasets with other clinical factors. OS: overall survival.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-5.png"/>
</fig>
</sec>
<sec id="s3_5">
<title>Correlation between ABCC8 and tumor mutation burden</title>
<p>TMB has been used as an immunotherapy resistance biomarker in the majority of solid malignant tumors. We also wondered whether TMB varied between different ABCC8 expression groups and compared the mutation frequency of all genes between LGG tumor samples with different ABCC8 expression levels (<xref ref-type="fig" rid="fig-6">Figs. 6A</xref> and <xref ref-type="fig" rid="fig-6">6B</xref>). Generally, the mutation frequency was extremely low in LGG tumors. Mutations of TP53, ATRX, and EGFR in the ABCC8 low expression group were more common than in the ABCC8 high expression group. In contrast, mutations in CIC, FUBP1, and IDH were less common in the low expression group (<xref ref-type="fig" rid="fig-6">Fig. 6C</xref>). These mutation variances may also partly explain the different survival outcomes of the groups. Consequently, the ABCC8 high expression group had a significantly lower TMB than the ABCC8 low expression group (0.38 <italic>vs</italic>. 0.46/MB, <italic>p</italic> &#x003C; 0.001) (<xref ref-type="fig" rid="fig-6">Fig. 6D</xref>), which suggests that ABCC8 could reflect the level of TMB in LGG.</p>
<fig id="fig-6">
<label>Figure 6</label>
<caption>
<title>Analysis of mutation burden in different ABCC8 expression groups. Mutation landscape of LGG tumor samples between different ABCC8 mRNA expression groups (A). Forest plot showing the most differentially mutated genes with low ABCC8 and high ABCC8 expression (B). (C) Comparison of mutation frequency between the low ABCC8 expression group and high ABCC8 expression group. (D) Tumor mutation burden of the low ABCC8 expression group and the high ABCC8 expression group. &#x002A;<italic>p</italic> &#x003C; 0.05; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.001.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-6.png"/>
</fig>
</sec>
<sec id="s3_6">
<title>Identification of ABCC8-associated key genes and pathways in the lower grade glioma immune response</title>
<p>The tumor sample tissues of TCGA-LGG datasets were dichotomized into ABCC8high and ABCC8low groups according to the median ABCC8 mRNA level. GSEA was applied to identify the ABCC8-associated immune signaling pathways. We found that the B-cell receptor signaling pathway (NES &#x003D; &#x2212;2.14, P FWER &#x003D; 0.011) (<xref ref-type="fig" rid="fig-7">Fig. 7A</xref>), antigen processing and presentation pathway (NES &#x003D; &#x2212;2.05, P FWER &#x003D; 0.032) (<xref ref-type="fig" rid="fig-7">Fig. 7B</xref>), leukocyte transendothelial migration pathway (NES &#x003D; &#x2212;1.93, P FWER &#x003D; 0.074) (<xref ref-type="fig" rid="fig-7">Fig. 7C</xref>), and FC gamma mediated phagocytosis pathway (NES &#x003D; &#x2212;1.92, P FWER &#x003D; 0.084) (<xref ref-type="fig" rid="fig-7">Fig. 7D</xref>) were all negatively correlated with ABCC8 expression. Interestingly, these immune pathways are matched to B cells, macrophages, neutrophils, and dendritic cells. These results further indicate that ABCC8 expression affects LGG immunity.</p>
<fig id="fig-7">
<label>Figure 7</label>
<caption>
<title>Gene set enrichment analysis of ABCC8-associated immune signaling pathways in LGG. A negative association was observed between ABCC8 mRNA levels and the B-cell receptor signaling pathway (A), antigen processing and presentation pathway (B), leukocyte transendothelial migration pathway (C), and FC gamma-mediated phagocytosis pathway (D).</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-7.png"/>
</fig>
<p>We then explored the key molecular factors and signaling pathways by which ABCC8 might regulate the immune microenvironment in LGG. We built a network of the top 50 genes that were tightly correlated with ABCC8 using STRING (<xref ref-type="fig" rid="fig-8">Fig. 8A</xref>). GO was used to annotate these genes (<xref ref-type="fig" rid="fig-8">Fig. 8B</xref>), and the GABAergic synapse pathway was found to be related to ABCC8-mediated immune events (<xref ref-type="fig" rid="fig-8">Fig. 8C</xref>).</p>
<fig id="fig-8">
<label>Figure 8</label>
<caption>
<title>Integrated analysis of closely related genes associated with the ABCC8 gene. (A) The protein-protein network of ABCC8 and the top 50 ABCC8-correlated genes in LGG on the STRING website. (B) Gene Ontology annotation of ABCC8 and the top 50 ABCC8-correlated genes in LGG. (C) KEGG pathway analysis of the above-mentioned 51 genes.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-8.png"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>Discussion</title>
<p>ABCC8 encodes ATP binding cassette subfamily C member 8, also known as sulfonylurea receptor 1 (SUR1). It belongs to the ATP binding cassette transporter superfamily, which regulates multidrug resistance of cells by transporting various molecules across extra and intracellular membranes. Numerous studies have indicated the association between ABCC8 and diabetes, hypertension, cardiac diseases, and metabolic disorders (<xref ref-type="bibr" rid="ref-29">Rehman <italic>et al</italic>., 2022</xref>; <xref ref-type="bibr" rid="ref-30">Rehman <italic>et al</italic>., 2020</xref>). In the nerve system, ABCC8 has been found to control the activity of ATP-sensitive potassium channels (<xref ref-type="bibr" rid="ref-24">Martin <italic>et al</italic>., 2020</xref>). These channels are widely expressed in all cells of the neurovascular unit and induce the efflux of potassium to decrease neuronal excitability (<xref ref-type="bibr" rid="ref-50">Yamada and Inagaki, 2005</xref>; <xref ref-type="bibr" rid="ref-53">Zhang <italic>et al</italic>., 2018</xref>). ATP-sensitive potassium channels could also affect neurotransmitter release by the process mentioned above.</p>
<p>In general, ABCC8 was found to participate in the inflammatory process, resulting in cytotoxic edema and cell apoptosis in many neurological diseases, including ischemic stroke, spinal cord injury, subarachnoid hemorrhage, traumatic brain injury, and brain metastasis (<xref ref-type="bibr" rid="ref-32">Simard <italic>et al</italic>., 2006</xref>; <xref ref-type="bibr" rid="ref-33">Simard <italic>et al</italic>., 2009a</xref>; <xref ref-type="bibr" rid="ref-34">Simard <italic>et al</italic>., 2009b</xref>; <xref ref-type="bibr" rid="ref-35">Simard <italic>et al</italic>., 2007</xref>; <xref ref-type="bibr" rid="ref-42">Thompson <italic>et al</italic>., 2013</xref>). Glibenclamide, an ABCC8 inhibitor, was found to improve neurological functions and reduce mortality in patients with diabetic acute ischemic stroke (<xref ref-type="bibr" rid="ref-14">Gladstone <italic>et al</italic>., 2009</xref>; <xref ref-type="bibr" rid="ref-20">Kunte <italic>et al</italic>., 2012</xref>). <xref ref-type="bibr" rid="ref-42">Thompson <italic>et al</italic>. (2013)</xref> also reported that glibenclamide could reduce brain edema in a mouse model of brain metastasis (<xref ref-type="bibr" rid="ref-42">Thompson <italic>et al</italic>., 2013</xref>).</p>
<p>The putative role of ABCC8 in brain tumors has been shown earlier. <xref ref-type="bibr" rid="ref-41">Thompson <italic>et al</italic>. (2018)</xref> reported a higher expression of ABCC8 in medulloblastoma and supratentorial ependymoma than in glioblastoma, which suggests that the expression of ABCC8 is higher in benign brain tumors than in malignant tumors (<xref ref-type="bibr" rid="ref-41">Thompson <italic>et al</italic>., 2018</xref>). Recently, <xref ref-type="bibr" rid="ref-56">Zhou <italic>et al</italic>. (2020)</xref> found that ABCC8 expression levels are negatively related to the World Health Organization grade, 1p/19q noncodeletion, and IDH wild type in gliomas, while patients with high ABCC8 mRNA expression showed a longer survival period than others. However, the underlying mechanism has not been illustrated.</p>
<p>Our study found a significantly lowered ABCC8 mRNA expression in LGG than in normal tissues and was positively correlated with a favorable prognosis in LGG, consistent with previous studies. We also observed a negative correlation between ABCC8 mRNA expression and B cells, macrophages, neutrophils, and dendritic cells in LGG, which has not been discussed thus far. Varied ABCC8 gene copy numbers also seem to reflect different immune cell infiltration levels; however, owing to the relatively small mutation numbers, the results should be validated by a mouse model <italic>in vivo</italic>. ABCC8 expression was also found to be negatively correlated with markers of Treg and T-cell failure (PDCD1, CD274, CTLA4, LAG3, and HAVCR2/TIM3) and TMB, which may indicate that LGG patients without ABCC8 expression should have a good response to immune therapy. GSEA demonstrated a negative association between the expression of ABCC8 and the B-cell receptor signaling pathway, antigen processing and presentation pathway, FC gamma-mediated phagocytosis pathway, and leukocyte transendothelial migration pathway. Interestingly, these immune pathways matched only the B cells, macrophages, neutrophils, and dendritic cells that we found were related to ABCC8 expression. KEGG pathway analysis of ABCC8-related genes through TCGA_LGG data revealed that the GABAergic synapse signaling pathway is involved in the ABCC8-mediated immune response. Collectively, these findings imply that ABCC8 plays an important role in recruiting and governing non-T immune cells in LGG and may influence survival by regulating the antitumor immune response. To our knowledge, this is the first study to report a link between ABCC8 and tumor immunity in LGG.</p>
<p>There have been limited studies on the relationship between ABCC8 and immunity, with a focus on brain diseases. <xref ref-type="bibr" rid="ref-41">Thompson <italic>et al</italic>. (2018)</xref> reported that ABCC8 is a putative therapeutic target to reduce neuroinflammation in adult and pediatric brain tumors. <xref ref-type="bibr" rid="ref-23">Makar <italic>et al</italic>. (2015)</xref> found that silencing or inhibiting ABCC8 leads to a reduced inflammatory burden and correlates with better preservation of myelin, better preservation of axons, and more numerous mature and precursor oligodendrocytes in mouse models (<xref ref-type="bibr" rid="ref-23">Makar <italic>et al</italic>., 2015</xref>). In murine experimental autoimmune encephalomyelitis models, blockage of ABCC8-TRPM4 channels, expressed mostly by astrocytes, dramatically decreased the inflammatory response by downregulating TNF, BAFF, CCL2, and NOS2 mRNA (<xref ref-type="bibr" rid="ref-13">Gerzanich <italic>et al</italic>., 2017</xref>). Astrocytes only exist in the central neuron system, which may explain the results of our study. Regarding the studies focusing on ABCC8 and cancer immunity, there was only one study by <xref ref-type="bibr" rid="ref-25">Meng <italic>et al</italic>. (2022)</xref> was found on the PubMed website, which reported a positive correlation of ABCC8 with CD4&#x002B; T-cell and macrophage infiltration and a negative correlation with OS in liver hepatocellular carcinoma, totally opposite to our results, probably due to the different tumor backgrounds.</p>
<p>Recently, immunotherapy has revolutionized many kinds of solid malignant tumor treatments. Although its efficiency rate is not very high, it could bring great survival benefits to the responsive population. A major problem is finding the correct population. Luckily, ICIs have been proven to penetrate the blood-brain barrier and thus could be a promising immunotherapy strategy for LGG. Previous studies with glioma mouse models have proven that the inhibition of CTLA-4, IDO, or PD-L1 could significantly reduce tumor-infiltrating Treg cell numbers and increase survival, which indicates that ICIs may have wide application prospects in glioma treatment in the future (<xref ref-type="bibr" rid="ref-45">Wainwright <italic>et al</italic>., 2014</xref>). To date, some related clinical trials have indicated limited efficacy of ICIs, although most trials have not yet been completed (<xref ref-type="bibr" rid="ref-49">Xu <italic>et al</italic>., 2020</xref>). The mechanism underlying this paradox has not been illustrated. Our results showed that the TMB of LGG is quite low, so the anticancer immune response is probably inhibited because of a lack of antigen stimulation, which may partly explain the problem. Since the OS of LGG ranges from 1 to 15 years due to its large intrinsic biological and clinical heterogeneity, the detailed classification of LGG may help improve the efficiency of immunotherapy. Based on our present study, we found that ABCC8 may be a promising biomarker to predict the ICI treatment response.</p>
<p>We must acknowledge that there are several potential limitations in the present analysis. The study was a retrospective analysis, and all analyses were carried out based on public datasets. The results need to be validated in large, prospective studies. In addition, the mechanisms underpinning ABCC8-mediated antitumor immunity have not been fully illustrated. The GABAergic synapse signaling pathway, which has been proven to play a crucial role in immune cell immunomodulation by many studies, may be responsible for the phenomenon (<xref ref-type="bibr" rid="ref-18">Jin <italic>et al</italic>., 2013</xref>; <xref ref-type="bibr" rid="ref-19">Kim <italic>et al</italic>., 2018</xref>; <xref ref-type="bibr" rid="ref-55">Zheng <italic>et al</italic>., 2021</xref>). Finally, the average anticancer immune response is probably low in LGG, and whether modulators of ABCC8 or the GABAergic synapse signaling pathway can stimulate the immune response to provide survival benefits to LGG patients receiving ICIs remains to be elucidated. Subsequent experimental verification is required to test this hypothesis.</p>
<p>The results of this study suggest that ABCC8 might play a crucial role in regulating LGG tumor immunity. The mRNA expression levels of ABCC8 were independently predictive of OS in LGG, which indicated that ABCC8 could be a candidate biomarker for favorable survival. Non-T immune cells and the GABAergic synapse signaling pathway may participate in ABCC8-associated immune regulation. The potential role of ABCC8 inhibitors, such as glibenclamide, in interfering with immune cells should be evaluated. Whether a combination of ABCC8 inhibitors and ICIs could provide more survival benefits for LGG patients also needs to be discussed.</p>
</sec>
</body>
<back>
<ack>
<p>The results shown here are in part based upon data generated by the TCGA Research (<uri xlink:href="https://www.cancer.gov/tcga">https://www.cancer.gov/tcga</uri>), CGGA database (<uri xlink:href="http://www.cgga.org.cn/index.jsp">http://www.cgga.org.cn/index.jsp</uri>), and REMBRANDT database (<uri xlink:href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE108476">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE108476</uri>).</p>
</ack><fn-group>
<fn fn-type="other">
<p><bold>Availability of Data and Materials:</bold> All datasets analyzed in the present study are open access. These data can be found on the following websites: Cancer Genome Atlas (<uri xlink:href="https://portal.gdc.cancer.gov/">https://portal.gdc.cancer.gov/</uri>), the GDC hub of UCSC Xena website (<uri xlink:href="http://xena.ucsc.edu/public">http://xena.ucsc.edu/public</uri>), and the CGGA database (<uri xlink:href="http://www.cgga.org.cn/index.jsp">http://www.cgga.org.cn/index.jsp</uri>).</p>
</fn>
<fn fn-type="other">
<p><bold>Author Contribution:</bold> The authors confirm their contributions to the paper as follows: study conception and design: MJ; data collection: LG; analysis and interpretation of results: MJ, LG; draft manuscript preparation: MJ, LG. All authors reviewed the results and approved the final version of the manuscript.</p>
</fn>
<fn fn-type="other">
<p><bold>Ethics Approval:</bold> Our study is based on open source data (TCGA, REMBRANDT, and CGGA). Ethical review and approval were not required for the study on human participants in accordance with the local legislation and institutional requirements. All methods were carried out in accordance with relevant guidelines and regulations.</p>
</fn>
<fn fn-type="other">
<p><bold>Funding Statement:</bold> This work was supported by the Scientific and Technological Innovation Program for Clinical Medicine of Jinan (202019132) to LIPING GONG.</p>
</fn>
<fn fn-type="conflict">
<p><bold>Conflicts of Interest:</bold> The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict with any competing interests.</p>
</fn>
</fn-group>
<ref-list content-type="authoryear">
<title>References</title>
<ref id="ref-1"><label>Alquisiras-Burgos <italic>et al</italic>. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Alquisiras-Burgos</surname> <given-names>I</given-names></string-name>, <string-name><surname>Ortiz-Plata</surname> <given-names>A</given-names></string-name>, <string-name><surname>Franco-Perez</surname> <given-names>J</given-names></string-name>, <string-name><surname>Millan</surname> <given-names>A</given-names></string-name>, <string-name><surname>Aguilera</surname> <given-names>P</given-names></string-name></person-group> (<year>2020</year>). <article-title>Resveratrol reduces cerebral edema through inhibition of <italic>de novo</italic> SUR1 expression induced after focal ischemia</article-title>. <source>Experimental Neurology</source> <volume>330</volume>: <fpage>113353</fpage>. DOI <pub-id pub-id-type="doi">10.1016/j.expneurol.2020.113353</pub-id>.</mixed-citation></ref>
<ref id="ref-2"><label>Aran <italic>et al</italic>. (2015)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Aran</surname> <given-names>D</given-names></string-name>, <string-name><surname>Sirota</surname> <given-names>M</given-names></string-name>, <string-name><surname>Butte</surname> <given-names>AJ</given-names></string-name></person-group> (<year>2015</year>). <article-title>Systematic pan-cancer analysis of tumour purity</article-title>. <source>Nature Communications</source> <volume>6</volume>: <fpage>8971</fpage>. DOI <pub-id pub-id-type="doi">10.1038/ncomms9971</pub-id>.</mixed-citation></ref>
<ref id="ref-3"><label>Bao <italic>et al</italic>. (2014)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Bao</surname> <given-names>ZS</given-names></string-name>, <string-name><surname>Chen</surname> <given-names>HM</given-names></string-name>, <string-name><surname>Yang</surname> <given-names>MY</given-names></string-name>, <string-name><surname>Zhang</surname> <given-names>CB</given-names></string-name>, <string-name><surname>Yu</surname> <given-names>K</given-names></string-name> <etal>et al.</etal></person-group> (<year>2014</year>). <article-title>RNA-seq of 272 gliomas revealed a novel, recurrent PTPRZ1-MET fusion transcript in secondary glioblastomas</article-title>. <source>Genome Research</source> <volume>24</volume>: <fpage>1765</fpage>&#x2013;<lpage>1773</lpage>. DOI <pub-id pub-id-type="doi">10.1101/gr.165126.113</pub-id>.</mixed-citation></ref>
<ref id="ref-4"><label>Beltrand <italic>et al</italic>. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Beltrand</surname> <given-names>J</given-names></string-name>, <string-name><surname>Busiah</surname> <given-names>K</given-names></string-name>, <string-name><surname>Vaivre-Douret</surname> <given-names>L</given-names></string-name>, <string-name><surname>Fauret</surname> <given-names>AL</given-names></string-name>, <string-name><surname>Berdugo</surname> <given-names>M</given-names></string-name>, <string-name><surname>Cave</surname> <given-names>H</given-names></string-name>, <string-name><surname>Polak</surname> <given-names>M</given-names></string-name></person-group> (<year>2020</year>). <article-title>Neonatal diabetes mellitus</article-title>. <source>Frontiers in Pediatrics</source> <volume>8</volume>: <fpage>540718</fpage>. DOI <pub-id pub-id-type="doi">10.3389/fped.2020.540718</pub-id>.</mixed-citation></ref>
<ref id="ref-5"><label>Bohnen <italic>et al</italic>. (2018)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Bohnen</surname> <given-names>MS</given-names></string-name>, <string-name><surname>Ma</surname> <given-names>L</given-names></string-name>, <string-name><surname>Zhu</surname> <given-names>N</given-names></string-name>, <string-name><surname>Qi</surname> <given-names>H</given-names></string-name>, <string-name><surname>McClenaghan</surname> <given-names>C</given-names></string-name> <etal>et al.</etal></person-group> (<year>2018</year>). <article-title>Loss-of-function ABCC8 mutations in pulmonary arterial hypertension</article-title>. <source>Circulation Genomic and Precision Medicine</source> <volume>11</volume>: <fpage>e002087</fpage>. DOI <pub-id pub-id-type="doi">10.1161/CIRCGEN.118.002087</pub-id>.</mixed-citation></ref>
<ref id="ref-6"><label>Brat DJ., Pachter L (2015)</label><mixed-citation publication-type="journal"><person-group person-group-type="author">Brat DJ, Pachter L</person-group> (<year>2015</year>). <article-title>Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas</article-title>. <source>The New England Journal of Medicine</source> <volume>372</volume>: <fpage>2481</fpage>&#x2013;<lpage>2498</lpage>. DOI <pub-id pub-id-type="doi">10.1056/NEJMoa1402121</pub-id>.</mixed-citation></ref>
<ref id="ref-7"><label>Chen et al. (2021)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Chen</surname> <given-names>L</given-names></string-name>, <string-name><surname>Yang</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Cao</surname> <given-names>Y</given-names></string-name>, <string-name><surname>Hu</surname> <given-names>Y</given-names></string-name>, <string-name><surname>Bao</surname> <given-names>W</given-names></string-name>, <string-name><surname>Wu</surname> <given-names>D</given-names></string-name>, <string-name><surname>Hu</surname> <given-names>L</given-names></string-name>, <string-name><surname>Xie</surname> <given-names>J</given-names></string-name>, <string-name><surname>Yu</surname> <given-names>H</given-names></string-name></person-group> (<year>2021</year>). <article-title>Pan-cancer analysis and single-cell analysis revealed the role of ABCC5 transporter in hepatocellular carcinoma</article-title>. <source>Channels</source> <volume>15</volume>: <fpage>541</fpage>&#x2013;<lpage>554</lpage>. DOI <pub-id pub-id-type="doi">10.1080/19336950.2021.1968592</pub-id>.</mixed-citation></ref>
<ref id="ref-8"><label>Chuah and Chew (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Chuah</surname> <given-names>S</given-names></string-name>, <string-name><surname>Chew</surname> <given-names>V</given-names></string-name></person-group> (<year>2020</year>). <article-title>High-dimensional immune-profiling in cancer: Implications for immunotherapy</article-title>. <source>Journal for Immunotherapy of Cancer</source> <volume>8</volume>: <fpage>e000363</fpage>. DOI <pub-id pub-id-type="doi">10.1136/jitc-2019-000363</pub-id>.</mixed-citation></ref>
<ref id="ref-9"><label>Claus <italic>et al</italic>. (2015)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Claus</surname> <given-names>EB</given-names></string-name>, <string-name><surname>Walsh</surname> <given-names>KM</given-names></string-name>, <string-name><surname>Wiencke</surname> <given-names>JK</given-names></string-name>, <string-name><surname>Molinaro</surname> <given-names>AM</given-names></string-name>, <string-name><surname>Wiemels</surname> <given-names>JL</given-names></string-name>, <string-name><surname>Schildkraut</surname> <given-names>JM</given-names></string-name>, <string-name><surname>Bondy</surname> <given-names>ML</given-names></string-name>, <string-name><surname>Berger</surname> <given-names>M</given-names></string-name>, <string-name><surname>Jenkins</surname> <given-names>R</given-names></string-name>, <string-name><surname>Wrensch</surname> <given-names>M</given-names></string-name></person-group> (<year>2015</year>). <article-title>Survival and low-grade glioma: The emergence of genetic information</article-title>. <source>Neurosurgical Focus</source> <volume>38</volume>: <fpage>E6</fpage>. DOI <pub-id pub-id-type="doi">10.3171/2014.10.FOCUS12367</pub-id>.</mixed-citation></ref>
<ref id="ref-10"><label>Darlix <italic>et al</italic>. (2017)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Darlix</surname> <given-names>A</given-names></string-name>, <string-name><surname>Goze</surname> <given-names>C</given-names></string-name>, <string-name><surname>Rigau</surname> <given-names>V</given-names></string-name>, <string-name><surname>Bauchet</surname> <given-names>L</given-names></string-name>, <string-name><surname>Taillandier</surname> <given-names>L</given-names></string-name>, <string-name><surname>Duffau</surname> <given-names>H</given-names></string-name></person-group> (<year>2017</year>). <article-title>The etiopathogenesis of diffuse low-grade gliomas</article-title>. <source>Critical Reviews in Oncology/Hematology</source> <volume>109</volume>: <fpage>51</fpage>&#x2013;<lpage>62</lpage>. DOI <pub-id pub-id-type="doi">10.1016/j.critrevonc.2016.11.014</pub-id>.</mixed-citation></ref>
<ref id="ref-11"><label>De Franco <italic>et al</italic>. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>de Franco</surname> <given-names>E</given-names></string-name>, <string-name><surname>Saint-Martin</surname> <given-names>C</given-names></string-name>, <string-name><surname>Brusgaard</surname> <given-names>K</given-names></string-name>, <string-name><surname>Knight Johnson</surname> <given-names>AE</given-names></string-name>, <string-name><surname>Aguilar-Bryan</surname> <given-names>L</given-names></string-name> <etal>et al.</etal></person-group> (<year>2020</year>). <article-title>Update of variants identified in the pancreatic beta-cell KATP channel genes KCNJ11 and ABCC8 in individuals with congenital hyperinsulinism and diabetes</article-title>. <source>Human Mutation</source> <volume>41</volume>: <fpage>884</fpage>&#x2013;<lpage>905</lpage>. DOI <pub-id pub-id-type="doi">10.1002/humu.23995</pub-id>.</mixed-citation></ref>
<ref id="ref-12"><label>Flagg <italic>et al</italic>. (2007)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Flagg</surname> <given-names>TP</given-names></string-name>, <string-name><surname>Patton</surname> <given-names>B</given-names></string-name>, <string-name><surname>Masia</surname> <given-names>R</given-names></string-name>, <string-name><surname>Mansfield</surname> <given-names>C</given-names></string-name>, <string-name><surname>Lopatin</surname> <given-names>AN</given-names></string-name>, <string-name><surname>Yamada</surname> <given-names>KA</given-names></string-name>, <string-name><surname>Nichols</surname> <given-names>CG</given-names></string-name></person-group> (<year>2007</year>). <article-title>Arrhythmia susceptibility and premature death in transgenic mice overexpressing both SUR1 and Kir6.2[&#x0394;N30,K185Q] in the heart</article-title>. <source>American Journal of Physiology Heart and Circulatory Physiology</source> <volume>293</volume>: <fpage>H836</fpage>&#x2013;<lpage>H845</lpage>. DOI <pub-id pub-id-type="doi">10.1152/ajpheart.00011.2007</pub-id>.</mixed-citation></ref>
<ref id="ref-13"><label>Gerzanich <italic>et al</italic>. (2017)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Gerzanich</surname> <given-names>V</given-names></string-name>, <string-name><surname>Makar</surname> <given-names>TK</given-names></string-name>, <string-name><surname>Guda</surname> <given-names>PR</given-names></string-name>, <string-name><surname>Kwon</surname> <given-names>MS</given-names></string-name>, <string-name><surname>Stokum</surname> <given-names>JA</given-names></string-name> <etal>et al.</etal></person-group> (<year>2017</year>). <article-title>Salutary effects of glibenclamide during the chronic phase of murine experimental autoimmune encephalomyelitis</article-title>. <source>Journal of Neuroinflammation</source> <volume>14</volume>: <fpage>177</fpage>. DOI <pub-id pub-id-type="doi">10.1186/s12974-017-0953-z</pub-id>.</mixed-citation></ref>
<ref id="ref-14"><label>Gladstone <italic>et al</italic>. (2009)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Gladstone</surname> <given-names>DJ</given-names></string-name>, <string-name><surname>Bui</surname> <given-names>E</given-names></string-name>, <string-name><surname>Fang</surname> <given-names>J</given-names></string-name>, <string-name><surname>Laupacis</surname> <given-names>A</given-names></string-name>, <string-name><surname>Lindsay</surname> <given-names>MP</given-names></string-name>, <string-name><surname>Tu</surname> <given-names>JV</given-names></string-name>, <string-name><surname>Silver</surname> <given-names>FL</given-names></string-name>, <string-name><surname>Kapral</surname> <given-names>MK</given-names></string-name></person-group> (<year>2009</year>). <article-title>Potentially preventable strokes in high-risk patients with atrial fibrillation who are not adequately anticoagulated</article-title>. <source>Stroke</source> <volume>40</volume>: <fpage>235</fpage>&#x2013;<lpage>240</lpage>. DOI <pub-id pub-id-type="doi">10.1161/STROKEAHA.108.516344</pub-id>.</mixed-citation></ref>
<ref id="ref-15"><label>Hlavac <italic>et al</italic>. (2013)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Hlavac</surname> <given-names>V</given-names></string-name>, <string-name><surname>Brynychova</surname> <given-names>V</given-names></string-name>, <string-name><surname>Vaclavikova</surname> <given-names>R</given-names></string-name>, <string-name><surname>Ehrlichova</surname> <given-names>M</given-names></string-name>, <string-name><surname>Vrana</surname> <given-names>D</given-names></string-name> <etal>et al.</etal></person-group> (<year>2013</year>). <article-title>The expression profile of ATP-binding cassette transporter genes in breast carcinoma</article-title>. <source>Pharmacogenomics</source> <volume>14</volume>: <fpage>515</fpage>&#x2013;<lpage>529</lpage>. DOI <pub-id pub-id-type="doi">10.2217/pgs.13.26</pub-id>.</mixed-citation></ref>
<ref id="ref-16"><label>Hodges <italic>et al</italic>. (2017)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Hodges</surname> <given-names>TR</given-names></string-name>, <string-name><surname>Ott</surname> <given-names>M</given-names></string-name>, <string-name><surname>Xiu</surname> <given-names>J</given-names></string-name>, <string-name><surname>Gatalica</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Swensen</surname> <given-names>J</given-names></string-name> <etal>et al.</etal></person-group> (<year>2017</year>). <article-title>Mutational burden, immune checkpoint expression, and mismatch repair in glioma: Implications for immune checkpoint immunotherapy</article-title>. <source>Neuro-Oncology</source> <volume>19</volume>: <fpage>1047</fpage>&#x2013;<lpage>1057</lpage>. DOI <pub-id pub-id-type="doi">10.1093/neuonc/nox026</pub-id>.</mixed-citation></ref>
<ref id="ref-17"><label>Hoshide and Jandial (2016)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Hoshide</surname> <given-names>R</given-names></string-name>, <string-name><surname>Jandial</surname> <given-names>R</given-names></string-name></person-group> (<year>2016</year>). <article-title>World health organization classification of central nervous system tumors: An era of molecular biology</article-title>. <source>World Neurosurgery</source> <volume>94</volume>: <fpage>561</fpage>&#x2013;<lpage>562</lpage>. DOI <pub-id pub-id-type="doi">10.1016/j.wneu.2016.07.082</pub-id>.</mixed-citation></ref>
<ref id="ref-18"><label>Jin <italic>et al</italic>. (2013)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Jin</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Mendu</surname> <given-names>SK</given-names></string-name>, <string-name><surname>Birnir</surname> <given-names>B</given-names></string-name></person-group> (<year>2013</year>). <article-title>GABA is an effective immunomodulatory molecule</article-title>. <source>Amino Acids</source> <volume>45</volume>: <fpage>87</fpage>&#x2013;<lpage>94</lpage>. DOI <pub-id pub-id-type="doi">10.1007/s00726-011-1193-7</pub-id>.</mixed-citation></ref>
<ref id="ref-19"><label>Kim <italic>et al</italic>. (2018)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Kim</surname> <given-names>JK</given-names></string-name>, <string-name><surname>Kim</surname> <given-names>YS</given-names></string-name>, <string-name><surname>Lee</surname> <given-names>HM</given-names></string-name>, <string-name><surname>Jin</surname> <given-names>HS</given-names></string-name>, <string-name><surname>Neupane</surname> <given-names>C</given-names></string-name> <etal>et al.</etal></person-group> (<year>2018</year>). <article-title>GABAergic signaling linked to autophagy enhances host protection against intracellular bacterial infections</article-title>. <source>Nature Communications</source> <volume>9</volume>: <fpage>4184</fpage>. DOI <pub-id pub-id-type="doi">10.1038/s41467-018-06487-5</pub-id>.</mixed-citation></ref>
<ref id="ref-20"><label>Kunte et al. (2012)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Kunte</surname> <given-names>H</given-names></string-name>, <string-name><surname>Busch</surname> <given-names>MA</given-names></string-name>, <string-name><surname>Trostdorf</surname> <given-names>K</given-names></string-name>, <string-name><surname>Vollnberg</surname> <given-names>B</given-names></string-name>, <string-name><surname>Harms</surname> <given-names>L</given-names></string-name>, <string-name><surname>Mehta</surname> <given-names>RI</given-names></string-name>, <string-name><surname>Castellani</surname> <given-names>RJ</given-names></string-name>, <string-name><surname>Mandava</surname> <given-names>P</given-names></string-name>, <string-name><surname>Kent</surname> <given-names>TA</given-names></string-name>, <string-name><surname>Simard</surname> <given-names>JM</given-names></string-name></person-group> (<year>2012</year>). <article-title>Hemorrhagic transformation of ischemic stroke in diabetics on sulfonylureas</article-title>. <source>Annals of Neurology</source> <volume>72</volume>: <fpage>799</fpage>&#x2013;<lpage>806</lpage>. DOI <pub-id pub-id-type="doi">10.1002/ana.23680</pub-id>.</mixed-citation></ref>
<ref id="ref-21"><label>Liao <italic>et al</italic>. (2019)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Liao</surname> <given-names>Y</given-names></string-name>, <string-name><surname>Wang</surname> <given-names>J</given-names></string-name>, <string-name><surname>Jaehnig</surname> <given-names>EJ</given-names></string-name>, <string-name><surname>Shi</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Zhang</surname> <given-names>B</given-names></string-name></person-group> (<year>2019</year>). <article-title>WebGestalt 2019: Gene set analysis toolkit with revamped UIs and APIs</article-title>. <source>Nucleic Acids Research</source> <volume>47</volume>: <fpage>W199</fpage>&#x2013;<lpage>W205</lpage>. DOI <pub-id pub-id-type="doi">10.1093/nar/gkz401</pub-id>.</mixed-citation></ref>
<ref id="ref-22"><label>Liu <italic>et al</italic>. (2018)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Liu</surname> <given-names>X</given-names></string-name>, <string-name><surname>Li</surname> <given-names>Y</given-names></string-name>, <string-name><surname>Qian</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Sun</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Xu</surname> <given-names>K</given-names></string-name> <etal>et al.</etal></person-group> (<year>2018</year>). <article-title>A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas</article-title>. <source>NeuroImage Clinical</source> <volume>20</volume>: <fpage>1070</fpage>&#x2013;<lpage>1077</lpage>. DOI <pub-id pub-id-type="doi">10.1016/j.nicl.2018.10.014</pub-id>.</mixed-citation></ref>
<ref id="ref-23"><label>Makar <italic>et al</italic>. (2015)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Makar</surname> <given-names>TK</given-names></string-name>, <string-name><surname>Gerzanich</surname> <given-names>V</given-names></string-name>, <string-name><surname>Nimmagadda</surname> <given-names>VK</given-names></string-name>, <string-name><surname>Jain</surname> <given-names>R</given-names></string-name>, <string-name><surname>Lam</surname> <given-names>K</given-names></string-name> <etal>et al.</etal></person-group> (<year>2015</year>). <article-title>Silencing of <italic>Abcc8</italic> or inhibition of newly upregulated Sur1-Trpm4 reduce inflammation and disease progression in experimental autoimmune encephalomyelitis</article-title>. <source>Journal of Neuroinflammation</source> <volume>12</volume>: <fpage>210</fpage>. DOI <pub-id pub-id-type="doi">10.1186/s12974-015-0432-3</pub-id>.</mixed-citation></ref>
<ref id="ref-24"><label>Martin <italic>et al</italic>. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Martin</surname> <given-names>GM</given-names></string-name>, <string-name><surname>Sung</surname> <given-names>MW</given-names></string-name>, <string-name><surname>Shyng</surname> <given-names>SL</given-names></string-name></person-group> (<year>2020</year>). <article-title>Pharmacological chaperones of ATP-sensitive potassium channels: Mechanistic insight from cryoEM structures</article-title>. <source>Molecular and Cellular Endocrinology</source> <volume>502</volume>: <fpage>110667</fpage>. DOI <pub-id pub-id-type="doi">10.1016/j.mce.2019.110667</pub-id>.</mixed-citation></ref>
<ref id="ref-25"><label>Meng <italic>et al</italic>. (2022)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Meng</surname> <given-names>X</given-names></string-name>, <string-name><surname>Dong</surname> <given-names>S</given-names></string-name>, <string-name><surname>Yangyang</surname> <given-names>L</given-names></string-name>, <string-name><surname>Wang</surname> <given-names>S</given-names></string-name>, <string-name><surname>Xu</surname> <given-names>X</given-names></string-name>, <string-name><surname>Liu</surname> <given-names>T</given-names></string-name>, <string-name><surname>Zhuang</surname> <given-names>X</given-names></string-name></person-group> (<year>2022</year>). <article-title>Adenosine triphosphate-binding cassette subfamily C members in liver hepatocellular carcinoma: Bioinformatics-driven prognostic value</article-title>. <source>Medicine</source> <volume>101</volume>: <fpage>e28869</fpage>. DOI <pub-id pub-id-type="doi">10.1097/MD.0000000000028869</pub-id>.</mixed-citation></ref>
<ref id="ref-26"><label>Mohelnikova-Duchonova <italic>et al</italic>. (2013)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Mohelnikova-Duchonova</surname> <given-names>B</given-names></string-name>, <string-name><surname>Brynychova</surname> <given-names>V</given-names></string-name>, <string-name><surname>Oliverius</surname> <given-names>M</given-names></string-name>, <string-name><surname>Honsova</surname> <given-names>E</given-names></string-name>, <string-name><surname>Kala</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Muckova</surname> <given-names>K</given-names></string-name>, <string-name><surname>Soucek</surname> <given-names>P</given-names></string-name></person-group> (<year>2013</year>). <article-title>Differences in transcript levels of ABC transporters between pancreatic adenocarcinoma and nonneoplastic tissues</article-title>. <source>Pancreas</source> <volume>42</volume>: <fpage>707</fpage>&#x2013;<lpage>716</lpage>. DOI <pub-id pub-id-type="doi">10.1097/MPA.0b013e318279b861</pub-id>.</mixed-citation></ref>
<ref id="ref-27"><label>Nakasu and Nakasu (2022)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Nakasu</surname> <given-names>S</given-names></string-name>, <string-name><surname>Nakasu</surname> <given-names>Y</given-names></string-name></person-group> (<year>2022</year>). <article-title>Malignant progression of diffuse low-grade gliomas: A systematic review and meta-analysis on incidence and related factors</article-title>. <source>Neurologia Medico-Chirurgica</source> <volume>62</volume>: <fpage>177</fpage>&#x2013;<lpage>185</lpage>. DOI <pub-id pub-id-type="doi">10.2176/jns-nmc.2021-0313</pub-id>.</mixed-citation></ref>
<ref id="ref-28"><label>Nakasu <italic>et al</italic>. (2021)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Nakasu</surname> <given-names>S</given-names></string-name>, <string-name><surname>Notsu</surname> <given-names>A</given-names></string-name>, <string-name><surname>Nakasu</surname> <given-names>Y</given-names></string-name></person-group> (<year>2021</year>). <article-title>Prevalence of incidental meningiomas and gliomas on MRI: A meta-analysis and meta-regression analysis</article-title>. <source>Acta Neurochirurgica</source> <volume>163</volume>: <fpage>3401</fpage>&#x2013;<lpage>3415</lpage>. DOI <pub-id pub-id-type="doi">10.1007/s00701-021-04919-8</pub-id>.</mixed-citation></ref>
<ref id="ref-29"><label>Rehman et al. (2022)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Rehman</surname> <given-names>K</given-names></string-name>, <string-name><surname>Niaz</surname> <given-names>S</given-names></string-name>, <string-name><surname>Tahir</surname> <given-names>A</given-names></string-name>, <string-name><surname>Jabeen</surname> <given-names>K</given-names></string-name>, <string-name><surname>Akash</surname> <given-names>MSH</given-names></string-name></person-group> (<year>2022</year>). <article-title>FTO, PPAR-&#x03B3; and ABCC8 gene variation and hypertension as determinants of cardiometabolic risk in CVD patients</article-title>. <source>Metabolism-Clinical and Experimental</source> <volume>128</volume>: <fpage>154972</fpage>. DOI <pub-id pub-id-type="doi">10.1016/j.metabol.2021.154972</pub-id>.</mixed-citation></ref>
<ref id="ref-30"><label>Rehman <italic>et al</italic>. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Rehman</surname> <given-names>K</given-names></string-name>, <string-name><surname>Tahir</surname> <given-names>A</given-names></string-name>, <string-name><surname>Niaz</surname> <given-names>S</given-names></string-name>, <string-name><surname>Shabbir</surname> <given-names>S</given-names></string-name>, <string-name><surname>Jabeen</surname> <given-names>K</given-names></string-name>, <string-name><surname>Faheem</surname> <given-names>A</given-names></string-name>, <string-name><surname>Akash</surname> <given-names>MSH</given-names></string-name></person-group> (<year>2020</year>). <article-title>Frequency of PPAR-gamma, FTO and ABCC8 genetic variation in Pakistani cardiovascular smokers</article-title>. <source>Environmental Science and Pollution Research International</source> <volume>27</volume>: <fpage>42611</fpage>&#x2013;<lpage>42620</lpage>. DOI <pub-id pub-id-type="doi">10.1007/s11356-020-10226-z</pub-id>.</mixed-citation></ref>
<ref id="ref-31"><label>Rizvi <italic>et al</italic>. (2018)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Rizvi</surname> <given-names>H</given-names></string-name>, <string-name><surname>Sanchez-Vega</surname> <given-names>F</given-names></string-name>, <string-name><surname>La</surname> <given-names>K</given-names></string-name>, <string-name><surname>Chatila</surname> <given-names>W</given-names></string-name>, <string-name><surname>Jonsson</surname> <given-names>P</given-names></string-name> <etal>et al.</etal></person-group> (<year>2018</year>). <article-title>Molecular determinants of response to anti-programmed cell death (PD)-1 and anti-programmed death-ligand 1 (PD-L1) blockade in patients with non-small-cell lung cancer profiled with targeted next-generation sequencing</article-title>. <source>Journal of Clinical Oncology</source> <volume>36</volume>: <fpage>633</fpage>&#x2013;<lpage>641</lpage>. DOI <pub-id pub-id-type="doi">10.1200/JCO.2017.75.3384</pub-id>.</mixed-citation></ref>
<ref id="ref-32"><label>Simard <italic>et al</italic>. (2006)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Simard</surname> <given-names>JM</given-names></string-name>, <string-name><surname>Chen</surname> <given-names>M</given-names></string-name>, <string-name><surname>Tarasov</surname> <given-names>KV</given-names></string-name>, <string-name><surname>Bhatta</surname> <given-names>S</given-names></string-name>, <string-name><surname>Ivanova</surname> <given-names>S</given-names></string-name>, <string-name><surname>Melnitchenko</surname> <given-names>L</given-names></string-name>, <string-name><surname>Tsymbalyuk</surname> <given-names>N</given-names></string-name>, <string-name><surname>West</surname> <given-names>GA</given-names></string-name>, <string-name><surname>Gerzanich</surname> <given-names>V</given-names></string-name></person-group> (<year>2006</year>). <article-title>Newly expressed SUR1-regulated NC(Ca-ATP) channel mediates cerebral edema after ischemic stroke</article-title>. <source>Nature Medicine</source> <volume>12</volume>: <fpage>433</fpage>&#x2013;<lpage>440</lpage>. DOI <pub-id pub-id-type="doi">10.1038/nm1390</pub-id>.</mixed-citation></ref>
<ref id="ref-33"><label>Simard <italic>et al</italic>. (2009a)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Simard</surname> <given-names>JM</given-names></string-name>, <string-name><surname>Geng</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Woo</surname> <given-names>SK</given-names></string-name>, <string-name><surname>Ivanova</surname> <given-names>S</given-names></string-name>, <string-name><surname>Tosun</surname> <given-names>C</given-names></string-name>, <string-name><surname>Melnichenko</surname> <given-names>L</given-names></string-name>, <string-name><surname>Gerzanich</surname> <given-names>V</given-names></string-name></person-group> (<year>2009a</year>). <article-title>Glibenclamide reduces inflammation, vasogenic edema, and caspase-3 activation after subarachnoid hemorrhage</article-title>. <source>Journal of Cerebral Blood Flow and Metabolism</source> <volume>29</volume>: <fpage>317</fpage>&#x2013;<lpage>330</lpage>. DOI <pub-id pub-id-type="doi">10.1038/jcbfm.2008.120</pub-id>.</mixed-citation></ref>
<ref id="ref-34"><label>Simard <italic>et al</italic>. (2009b)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Simard</surname> <given-names>JM</given-names></string-name>, <string-name><surname>Kilbourne</surname> <given-names>M</given-names></string-name>, <string-name><surname>Tsymbalyuk</surname> <given-names>O</given-names></string-name>, <string-name><surname>Tosun</surname> <given-names>C</given-names></string-name>, <string-name><surname>Caridi</surname> <given-names>J</given-names></string-name>, <string-name><surname>Ivanova</surname> <given-names>S</given-names></string-name>, <string-name><surname>Keledjian</surname> <given-names>K</given-names></string-name>, <string-name><surname>Bochicchio</surname> <given-names>G</given-names></string-name>, <string-name><surname>Gerzanich</surname> <given-names>V</given-names></string-name></person-group> (<year>2009b</year>). <article-title>Key role of sulfonylurea receptor 1 in progressive secondary hemorrhage after brain contusion</article-title>. <source>Journal of Neurotrauma</source> <volume>26</volume>: <fpage>2257</fpage>&#x2013;<lpage>2267</lpage>. DOI <pub-id pub-id-type="doi">10.1089/neu.2009.1021</pub-id>.</mixed-citation></ref>
<ref id="ref-35"><label>Simard <italic>et al</italic>. (2007)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Simard</surname> <given-names>JM</given-names></string-name>, <string-name><surname>Tsymbalyuk</surname> <given-names>O</given-names></string-name>, <string-name><surname>Ivanov</surname> <given-names>A</given-names></string-name>, <string-name><surname>Ivanova</surname> <given-names>S</given-names></string-name>, <string-name><surname>Bhatta</surname> <given-names>S</given-names></string-name>, <string-name><surname>Geng</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Woo</surname> <given-names>SK</given-names></string-name>, <string-name><surname>Gerzanich</surname> <given-names>V</given-names></string-name></person-group> (<year>2007</year>). <article-title>Endothelial sulfonylurea receptor 1-regulated NC Ca-ATP channels mediate progressive hemorrhagic necrosis following spinal cord injury</article-title>. <source>The Journal of Clinical Investigation</source> <volume>117</volume>: <fpage>2105</fpage>&#x2013;<lpage>2113</lpage>. DOI <pub-id pub-id-type="doi">10.1172/JCI32041</pub-id>.</mixed-citation></ref>
<ref id="ref-36"><label>Southgate <italic>et al</italic>. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Southgate</surname> <given-names>L</given-names></string-name>, <string-name><surname>Machado</surname> <given-names>RD</given-names></string-name>, <string-name><surname>Graf</surname> <given-names>S</given-names></string-name>, <string-name><surname>Morrell</surname> <given-names>NW</given-names></string-name></person-group> (<year>2020</year>). <article-title>Molecular genetic framework underlying pulmonary arterial hypertension</article-title>. <source>Nature Reviews Cardiology</source> <volume>17</volume>: <fpage>85</fpage>&#x2013;<lpage>95</lpage>. DOI <pub-id pub-id-type="doi">10.1038/s41569-019-0242-x</pub-id>.</mixed-citation></ref>
<ref id="ref-37"><label>Sturm <italic>et al</italic>. (2019)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Sturm</surname> <given-names>G</given-names></string-name>, <string-name><surname>Finotello</surname> <given-names>F</given-names></string-name>, <string-name><surname>Petitprez</surname> <given-names>F</given-names></string-name>, <string-name><surname>Zhang</surname> <given-names>JD</given-names></string-name>, <string-name><surname>Baumbach</surname> <given-names>J</given-names></string-name>, <string-name><surname>Fridman</surname> <given-names>WH</given-names></string-name>, <string-name><surname>List</surname> <given-names>M</given-names></string-name>, <string-name><surname>Aneichyk</surname> <given-names>T</given-names></string-name></person-group> (<year>2019</year>). <article-title>Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology</article-title>. <source>Bioinformatics</source> <volume>35</volume>: <fpage>i436</fpage>&#x2013;<lpage>i445</lpage>. DOI <pub-id pub-id-type="doi">10.1093/bioinformatics/btz363</pub-id>.</mixed-citation></ref>
<ref id="ref-38"><label>Subramanian <italic>et al</italic>. (2005)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Subramanian</surname> <given-names>A</given-names></string-name>, <string-name><surname>Tamayo</surname> <given-names>P</given-names></string-name>, <string-name><surname>Mootha</surname> <given-names>VK</given-names></string-name>, <string-name><surname>Mukherjee</surname> <given-names>S</given-names></string-name>, <string-name><surname>Ebert</surname> <given-names>BL</given-names></string-name> <etal>et al.</etal></person-group> (<year>2005</year>). <article-title>Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles</article-title>. <source>Proceedings of the National Academy of Sciences</source> <volume>102</volume>: <fpage>15545</fpage>&#x2013;<lpage>15550</lpage>. DOI <pub-id pub-id-type="doi">10.1073/pnas.0506580102</pub-id>.</mixed-citation></ref>
<ref id="ref-39"><label>Szklarczyk <italic>et al</italic>. (2021)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Szklarczyk</surname> <given-names>D</given-names></string-name>, <string-name><surname>Gable</surname> <given-names>AL</given-names></string-name>, <string-name><surname>Nastou</surname> <given-names>KC</given-names></string-name>, <string-name><surname>Lyon</surname> <given-names>D</given-names></string-name>, <string-name><surname>Kirsch</surname> <given-names>R</given-names></string-name> <etal>et al.</etal></person-group> (<year>2021</year>). <article-title>The STRING database in 2021: Customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets</article-title>. <source>Nucleic Acids Research</source> <volume>49</volume>: <fpage>D605</fpage>&#x2013;<lpage>D612</lpage>. DOI <pub-id pub-id-type="doi">10.1093/nar/gkaa1074</pub-id>.</mixed-citation></ref>
<ref id="ref-40"><label>Tang <italic>et al</italic>. (2017)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Tang</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Li</surname> <given-names>C</given-names></string-name>, <string-name><surname>Kang</surname> <given-names>B</given-names></string-name>, <string-name><surname>Gao</surname> <given-names>G</given-names></string-name>, <string-name><surname>Li</surname> <given-names>C</given-names></string-name>, <string-name><surname>Zhang</surname> <given-names>Z</given-names></string-name></person-group> (<year>2017</year>). <article-title>GEPIA: A web server for cancer and normal gene expression profiling and interactive analyses</article-title>. <source>Nucleic Acids Research</source> <volume>45</volume>: <fpage>W98</fpage>&#x2013;<lpage>W102</lpage>. DOI <pub-id pub-id-type="doi">10.1093/nar/gkx247</pub-id>.</mixed-citation></ref>
<ref id="ref-41"><label>Thompson <italic>et al</italic>. (2018)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Thompson</surname> <given-names>EM</given-names></string-name>, <string-name><surname>Halvorson</surname> <given-names>K</given-names></string-name>, <string-name><surname>McLendon</surname> <given-names>R</given-names></string-name></person-group> (<year>2018</year>). <article-title>Sulfonylurea receptor 1 expression is variable in adult and pediatric brain tumors</article-title>. <source>Clinical Neuropathology</source> <volume>37</volume>: <fpage>221</fpage>&#x2013;<lpage>227</lpage>. DOI <pub-id pub-id-type="doi">10.5414/NP301102</pub-id>.</mixed-citation></ref>
<ref id="ref-42"><label>Thompson <italic>et al</italic>. (2013)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Thompson</surname> <given-names>EM</given-names></string-name>, <string-name><surname>Pishko</surname> <given-names>GL</given-names></string-name>, <string-name><surname>Muldoon</surname> <given-names>LL</given-names></string-name>, <string-name><surname>Neuwelt</surname> <given-names>EA</given-names></string-name></person-group> (<year>2013</year>). <article-title>Inhibition of SUR1 decreases the vascular permeability of cerebral metastases</article-title>. <source>Neoplasia</source> <volume>15</volume>: <fpage>535</fpage>&#x2013;<lpage>543</lpage>. DOI <pub-id pub-id-type="doi">10.1593/neo.13164</pub-id>.</mixed-citation></ref>
<ref id="ref-43"><label>Thurm <italic>et al</italic>. (2021)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Thurm</surname> <given-names>C</given-names></string-name>, <string-name><surname>Schraven</surname> <given-names>B</given-names></string-name>, <string-name><surname>Kahlfuss</surname> <given-names>S</given-names></string-name></person-group> (<year>2021</year>). <article-title>ABC transporters in T cell-mediated physiological and pathological immune responses</article-title>. <source>International Journal of Molecular Sciences</source> <volume>22</volume>: <fpage>9186</fpage>. DOI <pub-id pub-id-type="doi">10.3390/ijms22179186</pub-id>.</mixed-citation></ref>
<ref id="ref-44"><label>van de Ven <italic>et al</italic>. (2009)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>van de Ven</surname> <given-names>R</given-names></string-name>, <string-name><surname>Oerlemans</surname> <given-names>R</given-names></string-name>, <string-name><surname>van der Heijden</surname> <given-names>JW</given-names></string-name>, <string-name><surname>Scheffer</surname> <given-names>GL</given-names></string-name>, <string-name><surname>de Gruijl</surname> <given-names>TD</given-names></string-name>, <string-name><surname>Jansen</surname> <given-names>G</given-names></string-name>, <string-name><surname>Scheper</surname> <given-names>RJ</given-names></string-name></person-group> (<year>2009</year>). <article-title>ABC drug transporters and immunity: Novel therapeutic targets in autoimmunity and cancer</article-title>. <source>Journal of Leukocyte Biology</source> <volume>86</volume>: <fpage>1075</fpage>&#x2013;<lpage>1087</lpage>. DOI <pub-id pub-id-type="doi">10.1189/jlb.0309147</pub-id>.</mixed-citation></ref>
<ref id="ref-45"><label>Wainwright <italic>et al</italic>. (2014)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Wainwright</surname> <given-names>DA</given-names></string-name>, <string-name><surname>Chang</surname> <given-names>AL</given-names></string-name>, <string-name><surname>Dey</surname> <given-names>M</given-names></string-name>, <string-name><surname>Balyasnikova</surname> <given-names>IV</given-names></string-name>, <string-name><surname>Kim</surname> <given-names>CK</given-names></string-name> <etal>et al.</etal></person-group> (<year>2014</year>). <article-title>Durable therapeutic efficacy utilizing combinatorial blockade against IDO, CTLA-4, and PD-L1 in mice with brain tumors</article-title>. <source>Clinical Cancer Research</source> <volume>20</volume>: <fpage>5290</fpage>&#x2013;<lpage>5301</lpage>. DOI <pub-id pub-id-type="doi">10.1158/1078-0432.CCR-14-0514</pub-id>.</mixed-citation></ref>
<ref id="ref-46"><label>Wang <italic>et al</italic>. (2015)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Wang</surname> <given-names>Y</given-names></string-name>, <string-name><surname>Qian</surname> <given-names>T</given-names></string-name>, <string-name><surname>You</surname> <given-names>G</given-names></string-name>, <string-name><surname>Peng</surname> <given-names>X</given-names></string-name>, <string-name><surname>Chen</surname> <given-names>C</given-names></string-name> <etal>et al.</etal></person-group> (<year>2015</year>). <article-title>Localizing seizure-susceptible brain regions associated with low-grade gliomas using voxel-based lesion-symptom mapping</article-title>. <source>Neuro-Oncology</source> <volume>17</volume>: <fpage>282</fpage>&#x2013;<lpage>288</lpage>. DOI <pub-id pub-id-type="doi">10.1093/neuonc/nou130</pub-id>.</mixed-citation></ref>
<ref id="ref-47"><label>Wang <italic>et al</italic>. (2018)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Wang</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Wang</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Zhang</surname> <given-names>C</given-names></string-name>, <string-name><surname>Liu</surname> <given-names>X</given-names></string-name>, <string-name><surname>Li</surname> <given-names>G</given-names></string-name> <etal>et al.</etal></person-group> (<year>2018</year>). <article-title>Genetic and clinical characterization of B7-H3 (CD276) expression and epigenetic regulation in diffuse brain glioma</article-title>. <source>Cancer Science</source> <volume>109</volume>: <fpage>2697</fpage>&#x2013;<lpage>2705</lpage>. DOI <pub-id pub-id-type="doi">10.1111/cas.13744</pub-id>.</mixed-citation></ref>
<ref id="ref-48"><label>Wang et al. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Wang</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Xu</surname> <given-names>H</given-names></string-name>, <string-name><surname>Zhu</surname> <given-names>L</given-names></string-name>, <string-name><surname>He</surname> <given-names>T</given-names></string-name>, <string-name><surname>Lv</surname> <given-names>W</given-names></string-name>, <string-name><surname>Wu</surname> <given-names>Z</given-names></string-name></person-group> (<year>2020</year>). <article-title>Establishment and evaluation of a 6-Gene survival risk assessment model related to lung adenocarcinoma microenvironment</article-title>. <source>BioMed Research International</source> <volume>2020</volume>: <fpage>6472153</fpage>. DOI <pub-id pub-id-type="doi">10.1155/2020/6472153</pub-id>.</mixed-citation></ref>
<ref id="ref-49"><label>Xu <italic>et al</italic>. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Xu</surname> <given-names>S</given-names></string-name>, <string-name><surname>Tang</surname> <given-names>L</given-names></string-name>, <string-name><surname>Li</surname> <given-names>X</given-names></string-name>, <string-name><surname>Fan</surname> <given-names>F</given-names></string-name>, <string-name><surname>Liu</surname> <given-names>Z</given-names></string-name></person-group> (<year>2020</year>). <article-title>Immunotherapy for glioma: Current management and future application</article-title>. <source>Cancer Letters</source> <volume>476</volume>: <fpage>1</fpage>&#x2013;<lpage>12</lpage>. DOI <pub-id pub-id-type="doi">10.1016/j.canlet.2020.02.002</pub-id>.</mixed-citation></ref>
<ref id="ref-50"><label>Yamada and Inagaki (2005)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Yamada</surname> <given-names>K</given-names></string-name>, <string-name><surname>Inagaki</surname> <given-names>N</given-names></string-name></person-group> (<year>2005</year>). <article-title>Neuroprotection by KATP channels</article-title>. <source>Journal of Molecular and Cellular Cardiology</source> <volume>38</volume>: <fpage>945</fpage>&#x2013;<lpage>949</lpage>. DOI <pub-id pub-id-type="doi">10.1016/j.yjmcc.2004.11.020</pub-id>.</mixed-citation></ref>
<ref id="ref-51"><label>Yin <italic>et al</italic>. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Yin</surname> <given-names>W</given-names></string-name>, <string-name><surname>Jiang</surname> <given-names>X</given-names></string-name>, <string-name><surname>Tan</surname> <given-names>J</given-names></string-name>, <string-name><surname>Xin</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Zhou</surname> <given-names>Q</given-names></string-name> <etal>et al.</etal></person-group> (<year>2020</year>). <article-title>Development and validation of a tumor mutation burden-related immune prognostic model for lower-grade glioma</article-title>. <source>Frontiers in Oncology</source> <volume>10</volume>: <fpage>1409</fpage>. DOI <pub-id pub-id-type="doi">10.3389/fonc.2020.01409</pub-id>.</mixed-citation></ref>
<ref id="ref-52"><label>Youssef and Miller (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Youssef</surname> <given-names>G</given-names></string-name>, <string-name><surname>Miller</surname> <given-names>JJ</given-names></string-name></person-group> (<year>2020</year>). <article-title>Lower grade gliomas</article-title>. <source>Current Neurology and Neuroscience Reports</source> <volume>20</volume>: <fpage>21</fpage>. DOI <pub-id pub-id-type="doi">10.1007/s11910-020-01040-8</pub-id>.</mixed-citation></ref>
<ref id="ref-53"><label>Zhang <italic>et al</italic>. (2018)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Zhang</surname> <given-names>Q</given-names></string-name>, <string-name><surname>Li</surname> <given-names>C</given-names></string-name>, <string-name><surname>Zhang</surname> <given-names>T</given-names></string-name>, <string-name><surname>Ge</surname> <given-names>Y</given-names></string-name>, <string-name><surname>Han</surname> <given-names>X</given-names></string-name>, <string-name><surname>Sun</surname> <given-names>S</given-names></string-name>, <string-name><surname>Ding</surname> <given-names>J</given-names></string-name>, <string-name><surname>Lu</surname> <given-names>M</given-names></string-name>, <string-name><surname>Hu</surname> <given-names>G</given-names></string-name></person-group> (<year>2018</year>). <article-title>Deletion of Kir6.2/SUR1 potassium channels rescues diminishing of DA neurons via decreasing iron accumulation in PD</article-title>. <source>Molecular and Cellular Neurosciences</source> <volume>92</volume>: <fpage>164</fpage>&#x2013;<lpage>176</lpage>. DOI <pub-id pub-id-type="doi">10.1016/j.mcn.2018.08.006</pub-id>.</mixed-citation></ref>
<ref id="ref-54"><label>Zhao <italic>et al</italic>. (2017)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Zhao</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Meng</surname> <given-names>F</given-names></string-name>, <string-name><surname>Wang</surname> <given-names>W</given-names></string-name>, <string-name><surname>Wang</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Zhang</surname> <given-names>C</given-names></string-name>, <string-name><surname>Jiang</surname> <given-names>T</given-names></string-name></person-group> (<year>2017</year>). <article-title>Comprehensive RNA-seq transcriptomic profiling in the malignant progression of gliomas</article-title>. <source>Scientific Data</source> <volume>4</volume>: <fpage>170024</fpage>. DOI <pub-id pub-id-type="doi">10.1038/sdata.2017.24</pub-id>.</mixed-citation></ref>
<ref id="ref-55"><label>Zheng et al. (2021)</label><mixed-citation publication-type="conf-proc"><person-group person-group-type="author"><string-name><surname>Zheng</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Zhang</surname> <given-names>X</given-names></string-name>, <string-name><surname>Liu</surname> <given-names>J</given-names></string-name>, <string-name><surname>He</surname> <given-names>P</given-names></string-name>, <string-name><surname>Zhang</surname> <given-names>S</given-names></string-name> <etal>et al.</etal></person-group> (<year>2021</year>). <article-title>GABAergic synapses suppress intestinal innate immunity via insulin signaling in Caenorhabditis elegans</article-title>. <source>Proceedings of the National Academy of Sciences</source> <volume>118</volume>: <fpage>e2021063118</fpage>. DOI <pub-id pub-id-type="doi">10.1073/pnas.2021063118</pub-id>.</mixed-citation></ref>
<ref id="ref-56"><label>Zhou <italic>et al</italic>. (2020)</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name><surname>Zhou</surname> <given-names>K</given-names></string-name>, <string-name><surname>Liu</surname> <given-names>Y</given-names></string-name>, <string-name><surname>Zhao</surname> <given-names>Z</given-names></string-name>, <string-name><surname>Wang</surname> <given-names>Y</given-names></string-name>, <string-name><surname>Huang</surname> <given-names>L</given-names></string-name>, <string-name><surname>Chai</surname> <given-names>R</given-names></string-name>, <string-name><surname>Li</surname> <given-names>G</given-names></string-name>, <string-name><surname>Jiang</surname> <given-names>T</given-names></string-name></person-group> (<year>2020</year>). <article-title>ABCC8 mRNA expression is an independent prognostic factor for glioma and can predict chemosensitivity</article-title>. <source>Scientific Reports</source> <volume>10</volume>: <fpage>12682</fpage>. DOI <pub-id pub-id-type="doi">10.1038/s41598-020-69676-7</pub-id>.</mixed-citation></ref>
</ref-list><app-group><app id="app-1">
<title></title>
<sec id="s5">
<title>Supplementary Materials</title>
<fig id="fig-9">
<label>Figure S1</label>
<caption>
<title>Association between ABCC8 expression levels and immune infiltration levels in ACC, BLCA, BRCA, CESC, CHOL, COAD, DLBC, ESCA, GBM, and HNSC.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-9.png"/>
</fig>
<fig id="fig-10">
<label>Figure S2</label>
<caption>
<title>Association between ABCC8 expression levels and immune infiltration levels in KICH, KIRC, KIRP, LIHC, LUAD, LUSC, MESO, OV, PAAD, and PCPG.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-10.png"/>
</fig>
<fig id="fig-11">
<label>Figure S3</label>
<caption>
<title>Association between ABCC8 expression levels and immune infiltration levels in PRAD, READ, SARC, SKCM, STAD, TGCT, THCA, THYM, UCEC, UCS and UVM.</title></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="BIOCELL_24620-fig-11.png"/>
</fig>
</sec></app></app-group>
</back>
</article>










