Expression and prognostic impact of VDAC3 in colorectal adenocarcinoma.

IF 1.5 4区 医学 Q4 ONCOLOGY Translational cancer research Pub Date : 2024-09-30 Epub Date: 2024-09-27 DOI:10.21037/tcr-24-402
Kaiqiang Yang, Tao Zhu, Caixia Sheng, Jia Zhu, Jing Xu, Guoxiang Fu
{"title":"Expression and prognostic impact of <i>VDAC3</i> in colorectal adenocarcinoma.","authors":"Kaiqiang Yang, Tao Zhu, Caixia Sheng, Jia Zhu, Jing Xu, Guoxiang Fu","doi":"10.21037/tcr-24-402","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Colorectal adenocarcinoma (COAD) is a malignant tumor with high mortality and low 5-year survival rate. Voltage-dependent anion channel 3 (VDAC3) is the least understood isoform of voltage-dependent anion-selective channels in the mitochondrial outer membrane. In this thesis, we aimed to investigate the prognostic value of <i>VDAC3</i> and provide new insights into colon adenocarcinoma.</p><p><strong>Methods: </strong>We utilized The Cancer Genome Atlas (TCGA) database, Gene Expression Omnibus (GEO) database, Human Protein Atlas online database, and the University of ALabama at Birmingham CANcer data analysis Portal (UALCAN) database to analyze <i>VDAC3</i> expression in COAD and assess patient survival rates. Univariate and multivariate Cox regression analyses were employed to evaluate <i>VDAC3</i>'s prognostic significance for COAD. Gene set variation analysis (GSVA) was utilized to explore COAD-related signaling pathways associated with <i>VDAC3</i>. Additionally, we predicted the relationship between <i>VDAC3</i> expression and anticancer drug sensitivity using the CellMiner database.</p><p><strong>Results: </strong>In the TCGA database, <i>VDAC3</i> demonstrated elevated expression levels in COAD, which was further validated by findings from the GEO database. Survival analysis conducted using Kaplan-Meier (K-M) curves highlighted that the patients with decreased <i>VDAC3</i> expression exhibited significantly shorter overall survival durations. <i>VDAC3</i> expression demonstrated correlation with COAD pathological stage. <i>VDAC3</i> gene mutation was linked to COAD outcomes. Cox regression analysis showed that <i>VDAC3</i> was an independent predictor. In addition, GSVA analysis showed that <i>VDAC3</i> was closely related to mitochondria-related biological processes and involved in the occurrence and development of mitochondria-related diseases. Finally, analysis of the CellMiner database predicted that <i>VDAC3</i> expression was positively correlated with chelerythrine and cladribine, but negatively correlated with Ergenyl.</p><p><strong>Conclusions: </strong>Our study suggests that <i>VDAC3</i> may be a potential biomarker for early diagnosis, prognosis, and treatment of COAD.</p>","PeriodicalId":23216,"journal":{"name":"Translational cancer research","volume":"13 9","pages":"4736-4751"},"PeriodicalIF":1.5000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11483328/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/tcr-24-402","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/27 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Colorectal adenocarcinoma (COAD) is a malignant tumor with high mortality and low 5-year survival rate. Voltage-dependent anion channel 3 (VDAC3) is the least understood isoform of voltage-dependent anion-selective channels in the mitochondrial outer membrane. In this thesis, we aimed to investigate the prognostic value of VDAC3 and provide new insights into colon adenocarcinoma.

Methods: We utilized The Cancer Genome Atlas (TCGA) database, Gene Expression Omnibus (GEO) database, Human Protein Atlas online database, and the University of ALabama at Birmingham CANcer data analysis Portal (UALCAN) database to analyze VDAC3 expression in COAD and assess patient survival rates. Univariate and multivariate Cox regression analyses were employed to evaluate VDAC3's prognostic significance for COAD. Gene set variation analysis (GSVA) was utilized to explore COAD-related signaling pathways associated with VDAC3. Additionally, we predicted the relationship between VDAC3 expression and anticancer drug sensitivity using the CellMiner database.

Results: In the TCGA database, VDAC3 demonstrated elevated expression levels in COAD, which was further validated by findings from the GEO database. Survival analysis conducted using Kaplan-Meier (K-M) curves highlighted that the patients with decreased VDAC3 expression exhibited significantly shorter overall survival durations. VDAC3 expression demonstrated correlation with COAD pathological stage. VDAC3 gene mutation was linked to COAD outcomes. Cox regression analysis showed that VDAC3 was an independent predictor. In addition, GSVA analysis showed that VDAC3 was closely related to mitochondria-related biological processes and involved in the occurrence and development of mitochondria-related diseases. Finally, analysis of the CellMiner database predicted that VDAC3 expression was positively correlated with chelerythrine and cladribine, but negatively correlated with Ergenyl.

Conclusions: Our study suggests that VDAC3 may be a potential biomarker for early diagnosis, prognosis, and treatment of COAD.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
VDAC3 在结直肠腺癌中的表达及其对预后的影响
背景:结直肠腺癌(COAD)是一种死亡率高、5 年生存率低的恶性肿瘤。电压依赖性阴离子通道 3(VDAC3)是线粒体外膜上电压依赖性阴离子选择性通道中最不为人所知的异构体。在这篇论文中,我们旨在研究 VDAC3 的预后价值,并为结肠腺癌提供新的见解:我们利用癌症基因组图谱(TCGA)数据库、基因表达总库(GEO)数据库、人类蛋白质图谱在线数据库和阿拉巴马大学伯明翰分校CANcer数据分析门户网站(UALCAN)数据库分析了VDAC3在COAD中的表达,并评估了患者的生存率。采用单变量和多变量 Cox 回归分析评估 VDAC3 对 COAD 的预后意义。基因组变异分析(GSVA)用于探索与 VDAC3 相关的 COAD 信号通路。此外,我们还利用 CellMiner 数据库预测了 VDAC3 表达与抗癌药物敏感性之间的关系:在TCGA数据库中,VDAC3在COAD中的表达水平升高,GEO数据库的研究结果进一步验证了这一点。利用Kaplan-Meier(K-M)曲线进行的生存分析显示,VDAC3表达降低的患者总生存期明显缩短。VDAC3 表达与 COAD 病理分期相关。VDAC3 基因突变与 COAD 的预后有关。Cox 回归分析显示,VDAC3 是一个独立的预测因子。此外,GSVA 分析表明,VDAC3 与线粒体相关的生物过程密切相关,参与了线粒体相关疾病的发生和发展。最后,CellMiner 数据库分析预测,VDAC3 的表达与白屈菜红碱和克拉利宾呈正相关,但与乙烯利呈负相关:我们的研究表明,VDAC3 可能是 COAD 早期诊断、预后和治疗的潜在生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.10
自引率
0.00%
发文量
252
期刊介绍: Translational Cancer Research (Transl Cancer Res TCR; Print ISSN: 2218-676X; Online ISSN 2219-6803; http://tcr.amegroups.com/) is an Open Access, peer-reviewed journal, indexed in Science Citation Index Expanded (SCIE). TCR publishes laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer; results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of cancer patients. The focus of TCR is original, peer-reviewed, science-based research that successfully advances clinical medicine toward the goal of improving patients'' quality of life. The editors and an international advisory group of scientists and clinician-scientists as well as other experts will hold TCR articles to the high-quality standards. We accept Original Articles as well as Review Articles, Editorials and Brief Articles.
期刊最新文献
Construction and validation of prognostic model for colorectal mucinous adenocarcinoma patients and identification of a new prognosis related gene FAM174B. Erratum: Identification of a ferroptosis-related gene signature for the prognosis of pediatric neuroblastoma. Establishment and validation of a prediction model for gastric cancer with perineural invasion based on preoperative inflammatory markers. Establishment and verification of a prognostic immune cell signature-based model for breast cancer overall survival. Exosomal AHSG in ovarian cancer ascites inhibits malignant progression of ovarian cancer by p53/FAK/Src signaling.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1