Evidence map›Paper›PMID 40102930›Full record

ArticleJournal of translational medicine2025

Single-cell RNA sequencing and spatial transcriptomics reveal the heterogeneity and intercellular communication of cancer-associated fibroblasts in gastric cancer.

Xijie Zhang, Bo Ren, Bo Liu, Rui Wang, Sen Li, Yuzhou Zhao, Wence Zhou

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xijie Zhang *The Second Clinical Medical School, Lanzhou University, Lanzhou, China.
Bo Ren *The Second Clinical Medical School, Lanzhou University, Lanzhou, China.
Bo Liu *The Second Clinical Medical School, Lanzhou University, Lanzhou, China.
Rui WangThe Second Clinical Medical School, Lanzhou University, Lanzhou, China.
Sen LiDepartment of General Surgery, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Yuzhou ZhaoDepartment of General Surgery, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China. yuzhouzhao@126.com.
Wence ZhouThe Second Clinical Medical School, Lanzhou University, Lanzhou, China. zhouwc129@163.com.

Funding

madical innovation and development project of lanzhou university lzuyxcx-2022-177major science and technology project of Gansu provience 22ZD6FA021-4National Natural Science Foundation of China 82260555
6 · The paper itself

Abstract

backgroundGastric cancer is a highly aggressive malignancy characterized by a complex tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs), which are a key component of the TME, exhibit significant heterogeneity and play crucial roles in tumor progression. Therefore, a comprehensive understanding of CAFs is essential for developing novel therapeutic strategies for gastric cancer.

methodsThis study investigates the characteristics and functional information of CAF subtypes and explores the intercellular communication between CAFs and malignant epithelial cells (ECs) in gastric cancer by analyzing single-cell sequencing data from 24 gastric cancer samples. CellChat was employed to map intercellular communication, and Seurat was used to integrate single-cell sequencing data with spatial transcriptome data to reconstruct a comprehensive single-cell spatial map. The spatial relationship between apCAFs and cancer cells was analyzed using multicolor immunohistochemistry.

resultsCells were categorized into nine distinct categories, revealing a positive correlation between the proportions of epithelial cells (ECs) and fibroblasts. Furthermore, six fibroblast subpopulations were identified: inflammatory (iCAFs), pericytes, matrix (mCAFs), antigen-presenting (apCAFs), smooth muscle cells (SMCs), and proliferative CAFs (pCAFs). Each of these subpopulations was linked to various biological processes and immune responses. Malignant ECs exhibited heightened intercellular communication, particularly with CAF subpopulations, through specific ligand-receptor interactions. High-density regions of CAF subpopulations displayed spatial exclusivity, with pericytes serving as a source for iCAFs, mCAFs, and apCAFs. Notably, malignant ECs and apCAFs showed increased interactions, with certain ligand-receptor pairs potentially impacting the prognosis of gastric cancer. Multiplex immunohistochemistry (mIHC) confirmed the close spatial proximity of apCAFs to cancer cells in gastric cancer.

conclusionOur study provided a comprehensive characterization of CAF heterogeneity in gastric cancer and revealed the intricate intercellular networks within the TME. The identified CAF subpopulations and their interactions with malignant cells could serve as potential therapeutic targets.

Indexed as

Cancer-Associated FibroblastsCell CommunicationGene Expression ProfilingGenetic HeterogeneitySequence Analysis, RNASingle-Cell AnalysisStomach NeoplasmsTranscriptomeEpithelial CellsGene Expression Regulation, NeoplasticHumansTumor MicroenvironmentCancer-associated fibroblastsCell–cell interactionsGastric cancerSingle-cell transcriptomicsTumor microenvironment

Identifiers

PMID40102930
PMCPMC11917039

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.