Du QC, Wang XY, Hu CK, Zhou L, Fu Z, Liu S, Wang J, Ma YY, Liu MY, Yu H. Integrative analysis of platelet-related genes for the prognosis of esophageal cancer. World J Clin Cases 2022; 10(33): 12077-12088 [PMID: 36483802 DOI: 10.12998/wjcc.v10.i33.12077]
Corresponding Author of This Article
Hua Yu, MM, Associate Chief Physician, Department of General Surgery, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, No. 1279 Sanmen Road, Hongkou District, Shanghai 200434, China. luckyyuhua@163.com
Research Domain of This Article
Surgery
Article-Type of This Article
Clinical and Translational Research
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/
Qian-Cheng Du, Cheng-Kai Hu, Zheng Fu, Shun Liu, Jian Wang, Ying-Ying Ma, Meng-Yao Liu, Department of Thoracic Surgery, Shanghai Xuhui Central Hospital, Shanghai 200031, China
Xin-Yu Wang, Ling Zhou, Hua Yu, Department of General Surgery, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China
Author contributions: Du QC and Wang XY analyzed the data and wrote the manuscript, and both have contributed equally to this work; Yu H designed the study; Hu CK, Zhou L, Fu Z, Liu S, Wang J, Ma YY, and Liu MY collected the data and revised the paper; all authors have read and approved the final manuscript.
Institutional review board statement: The data for the study came from public databases and did not involve blood or tissue samples from humans or animals. Therefore, there were no ethical issues involved in this study.
Conflict-of-interest statement: All the authors report having no relevant conflicts of interest for this article.
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: Hua Yu, MM, Associate Chief Physician, Department of General Surgery, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, No. 1279 Sanmen Road, Hongkou District, Shanghai 200434, China. luckyyuhua@163.com
Received: May 7, 2022 Peer-review started: May 7, 2022 First decision: July 13, 2022 Revised: August 15, 2022 Accepted: October 11, 2022 Article in press: October 11, 2022 Published online: November 26, 2022
ARTICLE HIGHLIGHTS
Research background
The prognosis for esophageal cancer, one of the malignancies that responds least to cancer therapy, has not improved despite several breakthroughs in treatment. Improving patient outcomes depends on finding biomarkers and comprehending the molecular causes of esophageal cancer.
Research motivation
We wanted to create a risk score based on platelet-related gene signatures for prognosis prediction since the expression of platelet-related genes is strongly linked to patient prognosis.
Research objectives
To predict esophageal cancer prognosis, a risk model and nomogram constructed based on platelet-related gene signatures and clinical factors associated with prognosis could be utilized.
Research methods
We constructed a trustworthy platelet-related gene signature to predict the prognosis of esophageal cancer using 151 samples of the disease. Then, an integrated nomogram for clinical practice was created utilizing a combined risk score, risk score, and TNM stage. The prognostic accuracy of the model was also supported by the receiver operating characteristic curve, concordance index, and related calibration curve.
Research results
The survival curve was created after constructing a prognostic risk model based on four platelet genes associated with prognosis. Patients in the high-risk group had a considerably lower life expectancy than those in the low-risk group, according to the Kaplan-Meier survival analysis. The risk score was an independent factor in predicting survival, according to results from both univariate and multivariate Cox regression analyses.
Research conclusions
We identified a four-gene signature, constructed a risk score, and developed a prediction nomogram for patients with esophageal cancer based on the risk score, TNM staging, and histopathological type.
Research perspectives
Identification and prediction of prognostic indicators are essential for esophageal cancer patients.
