A novel tumor microenvironment-related gene signature for prognostic prediction of intrahepatic cholangiocarcinoma

Intrahepatic cholangiocarcinoma (ICCA) is a highly aggressive bile duct cancer with limited treatment options and poor prognosis. This study aims to develop a gene signature-based model to predict ICCA patient survival. We identified differentially expressed genes (DEGs) from an ICCA mRNA microarray dataset and applied survival, Cox, and LASSO regression analyses to select key genes for constructing the GPSICCA risk score model. The model was then validated in two additional ICCA cohorts, and its relationship with the tumor microenvironment (TME) was analyzed. Additionally, multiplex fluorescent immunohistochemistry (mfIHC) was conducted to examine the expression of key genes in ICCA samples. The expression of COL4A1, GULP1, ITGA6, and STC1 was used to construct the gene set-based prognostic signature for ICCA (GPSICCA) risk score model, and mfIHC confirmed their expression in ICCA samples. The model effectively stratified patients into high- and low-risk groups, with high-risk patients showing significantly worse survival. The GPSICCA score was positively correlated with stromal and immune scores, suggesting its predictive capability is related to TME involvement in ICCA. The GPSICCA model is a strong predictor of survival in ICCA patients and could help guide treatment strategies and identify potential therapeutic targets.

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Publication Details

Journal
Scientific Reports
Published
2025-11-24
DOI
https://doi.org/10.1038/s41598-025-25463-w
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel tumor microenvironment-related gene signature for prognostic prediction of intrahepatic cholangiocarcinoma

Wei Wang, Linpei Wang, Dongyao Xu, Xiaoqiu Ma et al.
Scientific Reports
Cholangiocarcinoma and Gallbladder Cancer Studies
article

A novel tumor microenvironment-related gene signature for prognostic prediction of intrahepatic cholangiocarcinoma

Wei Wang, Linpei Wang, Dongyao Xu, Xiaoqiu Ma, Yingming Sun, Hongtan Lin
article en

Abstract

Intrahepatic cholangiocarcinoma (ICCA) is a highly aggressive bile duct cancer with limited treatment options and poor prognosis. This study aims to develop a gene signature-based model to predict ICCA patient survival. We identified differentially expressed genes (DEGs) from an ICCA mRNA microarray dataset and applied survival, Cox, and LASSO regression analyses to select key genes for constructing the GPSICCA risk score model. The model was then validated in two additional ICCA cohorts, and its relationship with the tumor microenvironment (TME) was analyzed. Additionally, multiplex fluorescent immunohistochemistry (mfIHC) was conducted to examine the expression of key genes in ICCA samples. The expression of COL4A1, GULP1, ITGA6, and STC1 was used to construct the gene set-based prognostic signature for ICCA (GPSICCA) risk score model, and mfIHC confirmed their expression in ICCA samples. The model effectively stratified patients into high- and low-risk groups, with high-risk patients showing significantly worse survival. The GPSICCA score was positively correlated with stromal and immune scores, suggesting its predictive capability is related to TME involvement in ICCA. The GPSICCA model is a strong predictor of survival in ICCA patients and could help guide treatment strategies and identify potential therapeutic targets.

Scientific ReportsVol. 15(1)
Fujian Medical University (CN), The 180th Hospital of PLA (CN), First Affiliated Hospital of Fujian Medical University (CN), Second Affiliated Hospital of Fujian Medical University (CN), Sanming University (CN)
Natural Science Foundation of Fujian Province, Fujian Medical University
Openalex Percentile: Top 45%
Cholangiocarcinoma and Gallbladder Cancer Studies
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