Page 242 - EJMO-9-2

Eurasian Journal of Medicine

and Oncology

ORIGINAL RESEARCH ARTICLE
Predictive value of an eight-mRNA signature in

colon adenocarcinoma prognosis

1†
Yuying Yang , Cuiying Wang , Hongqian Wei , Bing Zhou , Songtao Hou ,
2†
1
1
1
1
Xiaochen Pang , Wenhai Dong , and Zhongqiu Chai *
1
1
1 Department of Anal Medicine, Binhai New Area Hospital of Traditional Chinese Medicine, Fourth
Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
2 Department of Geriatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine,
Jinan, Shandong, China
Abstract
Colorectal cancer is a prevalent malignancy, with colon adenocarcinoma as the most
common type. Early diagnosis biomarkers and effective risk stratification are crucial
for optimal treatment. In this study, gene expression data from the Cancer Genome
Atlas and Gene Expression Omnibus (GEO) were analyzed to identify relevant genes
for colon adenocarcinoma. These datasets were standardized and subjected to
weighted gene co-expression network analysis and differentially expressed gene
analysis. Univariate Cox regression and least absolute shrinkage and selection
operator Cox regression analyses were performed to generate a risk profile and
identify prognosis-related genes. Receiver operating characteristic (ROC) analysis,
† These authors contributed equally Kaplan–Meier (KM) curve, and Cox analyses validated the risk signature. Immune cell
to this work infiltration patterns and immunological activities in high- and low-risk groups were
*Corresponding author: assessed using single-sample gene set enrichment analysis (ssGSEA). GSEA was used
Zhongqiu Chai to investigate the signaling pathways associated with low-risk and high-risk groups,
(chaizhongqiu@126.com)
whereas ssGSEA was used to analyze those associated with high-risk groups. A line
Citation: Yang Y, Wang C, graph was created to predict the overall survival (OS) of patients. Quantitative real-
Wei H, et al. Predictive value
of an eight-mRNA signature in time polymerase chain reaction confirmed differential gene expression between
colon adenocarcinoma prognosis. normal and cancerous colon tissues. The eight genes identified – ACOX1, ATP8B1,
Eurasian J Med Oncol. CHGA, NAT2, PKIB, SLC39A8, TINAG, and VEGFA – correlated with tumor immunity and
2025;9(2):234-249.
doi: 10.36922/EJMO025060024 clinical outcomes. This eight-gene risk profile can accurately stratify risk and predict
OS based on KM curves, ROC analysis, and regression models. GSEA analysis revealed
Received: February 5, 2025 calcium ion metabolism as the top pathway in the GEO dataset. These findings
Revised: April 1, 2025 provide a foundation for prognostic evaluation and may guide therapeutic decision-
Accepted: April 8, 2025 making in colon adenocarcinoma.
Published online: May 9, 2025
Keywords: Colon adenocarcinoma; Weighted gene co-expression network analysis;
Copyright: © 2025 Author(s).
This is an Open-Access article Gene set enrichment analysis; Prognosis
distributed under the terms of the
Creative Commons Attribution
License, permitting distribution,
and reproduction in any medium,
provided the original work is 1. Introduction
properly cited.
According to the American Cancer Society, colorectal cancer accounted for over one in
Publisher’s Note: AccScience 10 cancer cases and fatalities in 2020, with over 1.9 million new diagnoses (including
Publishing remains neutral with
regard to jurisdictional claims in anal) and 935,000 deaths globally. In general, colorectal cancer ranks second in terms
1
published maps and institutional of cancer-associated mortality and third in terms of incidence. The most prevalent
affiliations.
Volume 9 Issue 2 (2025) 234 doi: 10.36922/EJMO025060024