Yan JN, Guo LH, Zhu DP, Ye GL, Shao YF, Zhou HX. Clinical significance and potential application of cuproptosis-related genes in gastric cancer. World J Gastrointest Oncol 2023; 15(7): 1200-1214 [PMID: 37546553 DOI: 10.4251/wjgo.v15.i7.1200]
Corresponding Author of This Article
Yong-Fu Shao, MD, PhD, Doctor, Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, No. 247 Renmin Road, Ningbo 315000, Zhejiang Province, China. fyshaoyongfu@nbu.edu.cn
Research Domain of This Article
Integrative & Complementary Medicine
Article-Type of This Article
Basic Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Jia-Ning Yan, Li-Hua Guo, Dan-Ping Zhu, Guo-Liang Ye, Yong-Fu Shao, Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo 315000, Zhejiang Province, China
Han-Xuan Zhou, Department of Pharmacy, Yinzhou Integrated TCM and Western Medicine Hospital, Ningbo 315000, Zhejiang Province, China
Author contributions: Yan JN designed and performed the research and wrote the paper; Shao YF and Ye GL designed the research and supervised the report; Zhou HX and Guo LH designed the research and contributed to the analysis; Shao YF and Zhu DP were responsible for the revision of the manuscript for important intellectual content; All authors expressed approval of the final version to be submitted.
Supported byThe Key Scientific and Technological Projects of Ningbo, No. 2021Z133.
Institutional review board statement: Our research is based on the Cancer Genome Atlas (TCGA, https://tega-data.nci.nih.gov/) database, the Genotype-Tissue Expression (GTEx) data portal (https://www.gtexportal.org/home/index.html) and the Gene Expression Omnibus (GEO, https://www.nebi.nlm.nih.gov/gds) database. All of these are open-access public databases. Thus, no institutional review board approval was required.
Conflict-of-interest statement: All the authors report having no relevant conflicts of interest for this article.
Data sharing statement: The technical appendix, statistical code, and datasets are available from the corresponding author at fyshaoyongfu@nbu.edu.cn.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yong-Fu Shao, MD, PhD, Doctor, Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, No. 247 Renmin Road, Ningbo 315000, Zhejiang Province, China. fyshaoyongfu@nbu.edu.cn
Received: February 4, 2023 Peer-review started: February 4, 2023 First decision: March 21, 2023 Revised: March 28, 2023 Accepted: May 6, 2023 Article in press: May 6, 2023 Published online: July 15, 2023
ARTICLE HIGHLIGHTS
Research background
Gastric cancer (GC) is one of the most common digestive system cancers with high mortality rates worldwide.
Research motivation
Cuproptosis is strongly correlated with the biological behaviour of malignant tumour cells and no previous studies have estimated the relationship between cuproptosis related genes (CRGs) and the progression of GC.
Research objectives
Our study aims to offer new insights to predict GC prognosis and provide multiple therapeutic targets for future therapy about CRGs.
Research methods
We collected data from several public data portals and systematically estimated the expression level and prognostic values of CRGs in GC samples and related mechanisms using public databases and bioinformatics.
Research results
We found that FDX1, LIAS, and MTF1 were differentially expressed in GC samples and exhibited important prognostic significance. We constructed a nomogram model for overall survival and disease-specific survival prediction and validated it via calibration plots. Mechanistically, immune cell infiltration and DNA methylation prominently affected the survival time of GC patients. Moreover, protein-protein interaction network, KEGG pathway and gene ontology enrichment analyses demonstrated that FDX1, LIAS, MTF1 and related proteins played key roles in the tricarboxylic acid cycle and cuprotosis. Top 10 perturbagens were filtered as well.
Research conclusions
Our findings suggested that FDX1, LIAS, and MTF1 had important implications for the prediction of OS and DSS in GC patients, which were associated with various immune cell infiltrations, providing novel insights into therapeutic strategies for GC patients.
Research perspectives
Considerable effort needs to be expended in exploring the therapeutic strategies via CRGs in GC.
