Single-cell multi-omics analysis reveals the plasticity of isthmus stem cells in gastric carcinogenesis

Gastric cancer remains one of the most lethal and prevalent malignancies, yet the cellular composition and developmental trajectory of its tumor populations are not fully understood. In this study, we performed single-cell multiome sequencing on paired tumor and adjacent tissue samples from gastric cancer patients. By integrating single-cell RNA sequencing (scRNA-seq) and single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq) data, we identified three primary epithelial components in gastric cancer: normal cells, metaplastic cells and cancer cells. Our analysis revealed that gastric isthmus stem cells exist in three distinct states in the context of gastric cancer: normal isthmus stem cells, SI + metaplastic isthmus stem cells (SI: Sucrase-Isomaltase, NCBI gene ID: 6476, Ensembl ID: ENSG00000090402), and cancer isthmus stem cells. SI + metaplastic isthmus stem cells serve as the cellular origin of gastric intestinal metaplasia, while cancer isthmus stem cells give rise to heterogeneous subpopulations of cancer cells. Furthermore, somatic mutation analysis demonstrated that cancer cells are derived from metaplastic cells. Collectively, our findings reveal the important role of isthmus stem cells in gastric carcinogenesis, reconstruct the lineage trajectory and establish a refined classification system for gastric cancer cells.

Authors

Institutions

Publication Details

Journal
Computers in Biology and Medicine
Published
2025-06-27
DOI
https://doi.org/10.1016/j.compbiomed.2025.110662
Citations
2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
1.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-cell multi-omics analysis reveals the plasticity of isthmus stem cells in gastric carcinogenesis

Cunfu He, Guangze Zhang, Jianbo Xiao, Xiaowei Tang et al.
2 citations
Computers in Biology and Medicine
Single-cell and spatial transcriptomics
1.61
article

Single-cell multi-omics analysis reveals the plasticity of isthmus stem cells in gastric carcinogenesis

Cunfu He, Guangze Zhang, Jianbo Xiao, Xiaowei Tang, Chenyi Wang, Yuxin Yin, Xiangyan Meng, Anhang Liu, Minghao Li
article en
2 citations

Abstract

Gastric cancer remains one of the most lethal and prevalent malignancies, yet the cellular composition and developmental trajectory of its tumor populations are not fully understood. In this study, we performed single-cell multiome sequencing on paired tumor and adjacent tissue samples from gastric cancer patients. By integrating single-cell RNA sequencing (scRNA-seq) and single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq) data, we identified three primary epithelial components in gastric cancer: normal cells, metaplastic cells and cancer cells. Our analysis revealed that gastric isthmus stem cells exist in three distinct states in the context of gastric cancer: normal isthmus stem cells, SI + metaplastic isthmus stem cells (SI: Sucrase-Isomaltase, NCBI gene ID: 6476, Ensembl ID: ENSG00000090402), and cancer isthmus stem cells. SI + metaplastic isthmus stem cells serve as the cellular origin of gastric intestinal metaplasia, while cancer isthmus stem cells give rise to heterogeneous subpopulations of cancer cells. Furthermore, somatic mutation analysis demonstrated that cancer cells are derived from metaplastic cells. Collectively, our findings reveal the important role of isthmus stem cells in gastric carcinogenesis, reconstruct the lineage trajectory and establish a refined classification system for gastric cancer cells.

Computers in Biology and MedicineVol. 195
Peking University (CN), Peking University People's Hospital (CN), Peking University Shenzhen Hospital (CN), Center for Life Sciences (CN)
Good health and well-being
Openalex Percentile: Top 16%
Single-cell and spatial transcriptomics
1.61
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.