@article{JGO116919,
author = {Chao Liang and Xiao-Jiang Yi and Jia-Li Liu and Hai-Peng Huang and Tian-Ming Jiang and Jing-Fang Diao},
title = {Identification and preliminary examination of prognostic genes linked to calcium metabolism in colorectal cancer},
journal = {Journal of Gastrointestinal Oncology},
volume = {17},
number = {3},
year = {2026},
keywords = {},
abstract = {Background: Colorectal cancer (CRC) is a substantial global health challenge due to high mortality rates. This study focused on constructing and validating a calcium metabolism-related genes (CAMRGs) signature for CRC outcome prediction.Methods: Transcriptomic and clinical data for CRC were integrated from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A prognostic risk model was constructed using least absolute shrinkage and selection operator (LASSO)-Cox regression analysis. The predictive performance of the model was validated using an external dataset (GSE17536). Furthermore, the expression levels of the identified prognostic genes were preliminarily assessed via reverse transcription-quantitative polymerase chain reaction (RT-qPCR) in clinical specimens.Results: PRKCB, ATP2A3, PLCB4, and SLC25A6 were detected as prognostic genes and used to develop risk models. The risk model differentiated samples into high- and low-risk groups with notable variations in overall survival (OS) (P0.6]. Gene set enrichment analysis (GSEA) reflected marked enrichment of pathways related to metabolism and immune signaling (e.g., oxidative phosphorylation and chemokine signaling) between the two groups (P0.8). Finally, RT-qPCR expression assessed the significantly lower expression of PRKCB and ATP2A3 and higher expression of PLCB4 in CRC patients compared to controls (P},
issn = {2219-679X}, url = {https://jgo.amegroups.org/article/view/116919}
}