Evidence map›Paper›PMID 39311993›Full record

ArticleBiochemical genetics2025

Single-cell RNA Sequencing Demonstrates the Heterogeneity of Different Molecular Subtypes in Gastric Cancer.

Ming Ren, Hongyan Ma, Lijia Guo, Yuqing Liu, Li Wang, Shaoting Wei

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Article in Biochemical genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 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

6 authors.

Ming RenFirst Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150081, China.
Hongyan MaFirst Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150081, China.
Lijia GuoFirst Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150081, China.
Yuqing LiuFirst Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150081, China.
Li WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. wangli@hrbmu.edu.cn.
Shaoting WeiFirst Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, 150081, China. weishaoting1987@163.com.

Funding

Postdoctoral Scientific Research Development Fund of Heilongjiang Province LBH-Q21141
6 · The paper itself

Abstract

Gastric cancer is a disease with high molecular and phenotypic heterogeneity. We integrated 119,878 cells from different molecular subtypes of gastric cancer and conducted comprehensive analysis. We found that patients with different molecular subtypes of gastric cancer showed significantly different cell composition heterogeneity, and the proportion of plasma cells was higher in GS tumors. After that, we constructed subtype-specific lncRNA-gene regulatory networks and identified subtype-specific lncRNA-related biological functions and pathways. Our study found that MALAT1-CTNNB1 regulatory pairs existed in CIN subtype, XIST-KLF2 regulatory pairs existed in GS subtype, and KCNQ1OT1-CCND2 regulatory pairs existed in MSI subtype. Next, we identified subtype-specific lncRNAs associated with prognosis. Our study found that NEAT1 could be used as prognostic factors for CIN tumors, and MALAT1 and XIST could be used as prognostic factors for GS tumors. In addition, we characterized the interactions between tumor cells and tumor microenvironment cells in different molecular subtypes of gastric cancer. In conclusion, we revealed the heterogeneity among different TCGA molecular subtypes of gastric cancer at the single-cell level, and identified the subtype-specific lncRNAs associated with prognosis. Our study may contribute to the in-depth understanding of the heterogeneity of gastric cancer and the prediction of patient prognosis.

Indexed as

Single-Cell AnalysisStomach NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksGenetic HeterogeneityHumansPrognosisRNA, Long NoncodingSequence Analysis, RNATumor MicroenvironmentBiomarkers, TumorRNA, Long NoncodingBiological functionGastric cancerMolecular subtypesPrognosisSingle-cell sequencing

Identifiers

PMID39311993

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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.