Evidence map›Paper›PMID 32532891›Full record

ArticleGut2021

Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing.

Min Zhang, Shuofeng Hu, Min Min, Yanli Ni, Zheng Lu, Xiaotian Sun, Jiaqi Wu, Bing Liu, Xiaomin Ying, Yan Liu

Open access · hybridAbstract read
In one paragraph

Article in Gut, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 228 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
228citing papers in PubMed, 2 pooled it
14.1field-weighted citation impact, top 1% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

228 citing papers in PubMed, 2 syntheses or guidelines pooled it, 343 citations in OpenAlex.

  1. Pooled it
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  4. iScience · 2026
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  13. [Bottlenecks and breakthroughs in gastric cancer diagnosis and treatment: Towards a new era of precision and intelligent integration].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
    Review
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  20. The CSF1Frontiers in immunology · 2026
    Article

168 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Min Zhang *Academy of Military Medical Sciences, Beijing, China.
Shuofeng Hu *Academy of Military Medical Sciences, Beijing, China.
Min Min *The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Yanli NiThe Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Zheng LuThe Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Xiaotian SunThe Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Jiaqi WuAcademy of Military Medical Sciences, Beijing, China.
Bing Liu *Academy of Military Medical Sciences, Beijing, China liuyan1799@126.com yingxmbio@foxmail.com bingliu17@yahoo.com.
Xiaomin Ying *Academy of Military Medical Sciences, Beijing, China liuyan1799@126.com yingxmbio@foxmail.com bingliu17@yahoo.com.
Yan Liu *The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China liuyan1799@126.com yingxmbio@foxmail.com bingliu17@yahoo.com.ORCID 0000-0002-1019-6567
Academy of Military Medical Sciences · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTumour heterogeneity represents a major obstacle to accurate diagnosis and treatment in gastric adenocarcinoma (GA). Here, we report a systematic transcriptional atlas to delineate molecular and cellular heterogeneity in GA using single-cell RNA sequencing (scRNA-seq).

designWe performed unbiased transcriptome-wide scRNA-seq analysis on 27 677 cells from 9 tumour and 3 non-tumour samples. Analysis results were validated using large-scale histological assays and bulk transcriptomic datasets.

resultsOur integrative analysis of tumour cells identified five cell subgroups with distinct expression profiles. A panel of differentiation-related genes reveals a high diversity of differentiation degrees within and between tumours. Low differentiation degrees can predict poor prognosis in GA. Among them, three subgroups exhibited different differentiation grade which corresponded well to histopathological features of Lauren's subtypes. Interestingly, the other two subgroups displayed unique transcriptome features. One subgroup expressing chief-cell markers (eg,

conclusionAltogether, our study offers valuable resource for deciphering gastric tumour heterogeneity, which will provide assistance for precision diagnosis and prognosis.

Indexed as

Sequence Analysis, RNASingle-Cell AnalysisAdenocarcinomaBiomarkers, TumorChief Cells, GastricGastric FundusGene Expression ProfilingHumansStomach NeoplasmsTranscriptomeBiomarkers, Tumorendoscopic gastrostomyepithelial cellsgastric cancermolecular pathology

Identifiers

PMID32532891
PMCPMC7873416
OpenAlexW3034402905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.