Integrated analysis of scRNA-seq and bulk RNA-seq identifies prognostic cell populations and genes in cholangiocarcinoma

Abstract Background Cholangiocarcinoma is a relatively uncommon cancer, accounting for approximately 3% of all gastrointestinal malignancies. However, its global incidence has been steadily rising over the past few decades, and the precise factors driving this increase remain unclear. This study aimed to identify prognosis-related cell populations and genes in cholangiocarcinoma and to further validate selected findings experimentally. Methods In this study, we performed a comprehensive analysis of single-cell RNA sequencing (scRNA-seq) data on cholangiocarcinoma obtained from publicly available databases. The analytical workflow included clustering and cell annotation, GO, KEGG, GSEA analysis, TCGA data acquisition and preprocessing, Scissor analysis, survival analysis, and deconvolution analysis. Key findings were further validated using cell-based experiments. The expression of MT2A and TKT was further validated in clinical cholangiocarcinoma samples by Western blot and qRT-PCR, and the effects of MT2A on cell proliferation, migration, invasion, and apoptosis were assessed by in vitro experiments. Results Our findings revealed a significant imbalance between malignant cells and T cells within cholangiocarcinoma tissues, and a higher abundance of malignant cells was associated with poorer prognosis. The distribution of Scissor-positive cells was highly consistent with that of malignant cells, while differentially expressed genes in Scissor-positive cells, such as MT2A and TKT, were associated with poor prognosis in patients with cholangiocarcinoma. Furthermore, the expression levels of MT2A and TKT were found to be higher in clinical cholangiocarcinoma samples than in normal tissues. Functional experiments further demonstrated that MT2A promoted the proliferation, migration, and invasion of cholangiocarcinoma cells. Conclusions We identified distinct prognosis-related cell populations and differentially expressed genes in cholangiocarcinoma and further confirmed the functional relevance of MT2A through cell-based experiments. These findings provide new insights into the pathogenesis and progression of cholangiocarcinoma and may facilitate the development of targeted therapeutic strategies.

Authors

Institutions

Publication Details

Journal
BMC Gastroenterology
Published
2026-10-16
DOI
https://doi.org/10.1186/s12876-026-05389-x
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated analysis of scRNA-seq and bulk RNA-seq identifies prognostic cell populations and genes in cholangiocarcinoma

Xifang Wang, Jing Sun, Qi Shi, Chao Sun et al.
BMC Gastroenterology
Cholangiocarcinoma and Gallbladder Cancer Studies
article

Integrated analysis of scRNA-seq and bulk RNA-seq identifies prognostic cell populations and genes in cholangiocarcinoma

Xifang Wang, Jing Sun, Qi Shi, Chao Sun, Yi Liu, Wei Zheng, Le Fang, Yang Sun, Jing Du, Gaili An
article en

Abstract

Abstract Background Cholangiocarcinoma is a relatively uncommon cancer, accounting for approximately 3% of all gastrointestinal malignancies. However, its global incidence has been steadily rising over the past few decades, and the precise factors driving this increase remain unclear. This study aimed to identify prognosis-related cell populations and genes in cholangiocarcinoma and to further validate selected findings experimentally. Methods In this study, we performed a comprehensive analysis of single-cell RNA sequencing (scRNA-seq) data on cholangiocarcinoma obtained from publicly available databases. The analytical workflow included clustering and cell annotation, GO, KEGG, GSEA analysis, TCGA data acquisition and preprocessing, Scissor analysis, survival analysis, and deconvolution analysis. Key findings were further validated using cell-based experiments. The expression of MT2A and TKT was further validated in clinical cholangiocarcinoma samples by Western blot and qRT-PCR, and the effects of MT2A on cell proliferation, migration, invasion, and apoptosis were assessed by in vitro experiments. Results Our findings revealed a significant imbalance between malignant cells and T cells within cholangiocarcinoma tissues, and a higher abundance of malignant cells was associated with poorer prognosis. The distribution of Scissor-positive cells was highly consistent with that of malignant cells, while differentially expressed genes in Scissor-positive cells, such as MT2A and TKT, were associated with poor prognosis in patients with cholangiocarcinoma. Furthermore, the expression levels of MT2A and TKT were found to be higher in clinical cholangiocarcinoma samples than in normal tissues. Functional experiments further demonstrated that MT2A promoted the proliferation, migration, and invasion of cholangiocarcinoma cells. Conclusions We identified distinct prognosis-related cell populations and differentially expressed genes in cholangiocarcinoma and further confirmed the functional relevance of MT2A through cell-based experiments. These findings provide new insights into the pathogenesis and progression of cholangiocarcinoma and may facilitate the development of targeted therapeutic strategies.

BMC Gastroenterology
Shanxi Medical University (CN), Capital Medical University (CN), Beijing Chao-Yang Hospital, Capital Medical University (CN), Shaanxi Provincial People's Hospital (CN), Shanxi Provincial People’s Hospital (CN)
Good health and well-being
Openalex Percentile: Top 10%
Cholangiocarcinoma and Gallbladder Cancer Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.