Evidence map›Paper›PMID 34642171›Full record

ArticleCancer discovery2022

Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer.

Vikrant Kumar, Kalpana Ramnarayanan, Raghav Sundar, Nisha Padmanabhan, Supriya Srivastava, Mayu Koiwa, Tadahito Yasuda, Vivien Koh, Kie Kyon Huang, Su Ting Tay and 14 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 389 papers.

0numbers the graph read from it
0cells of the map it votes in
389citing papers in PubMed
27.4field-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

389 citing papers in PubMed, 506 citations in OpenAlex.

  1. Trial
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329 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

24 authors at 6 institutions in 2 countries.

Vikrant Kumar *Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
Kalpana Ramnarayanan *Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
Raghav Sundar *Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.ORCID 0000-0001-9423-1368
Nisha Padmanabhan *Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
Supriya SrivastavaDepartment of Medicine, National University of Singapore, Singapore.
Mayu KoiwaGastrointestinal Cancer Biology, International Research Center for Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan.
Tadahito YasudaGastrointestinal Cancer Biology, International Research Center for Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan.ORCID 0000-0003-4556-0100
Vivien KohDepartment of Haematology-Oncology, National University Cancer Institute, National University Health System, Singapore.
Kie Kyon HuangCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
Su Ting TayCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
Shamaine Wei Ting HoCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.ORCID 0000-0002-2595-0710
Angie Lay Keng TanCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
Takatsugu IshimotoGastrointestinal Cancer Biology, International Research Center for Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan.ORCID 0000-0003-1852-1835
Guowei KimYong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0002-4705-6808
Asim ShabbirYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Qingfeng ChenInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.
Biyan ZhangSingapore Immunology Network (SIgN), A*STAR, Singapore.ORCID 0000-0003-0329-2451
Shengli XuSingapore Immunology Network (SIgN), A*STAR, Singapore.
Kong-Peng LamDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, Singapore.ORCID 0000-0002-1316-4333
Huey Yew Jeffrey LumDepartment of Pathology, National University Health System, Singapore.
Ming TehDepartment of Pathology, National University Health System, Singapore.
Wei Peng YongDepartment of Haematology-Oncology, National University Cancer Institute, National University Health System, Singapore.ORCID 0000-0003-4404-3777
Jimmy Bok Yan SoYong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0002-9772-7905
Patrick TanCancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore.
National University of Singapore · SGDuke-NUS Medical School · SGKumamoto University · JPAgency for Science, Technology and Research · SGNational University Health System · SGSingapore Immunology Network · SG

Funding

NMRC NR13NMR111OMNMRC, Singapore NMRC/Fellowship/0059/2018
6 · The paper itself

Abstract

Gastric cancer heterogeneity represents a barrier to disease management. We generated a comprehensive single-cell atlas of gastric cancer (>200,000 cells) comprising 48 samples from 31 patients across clinical stages and histologic subtypes. We identified 34 distinct cell-lineage states including novel rare cell populations. Many lineage states exhibited distinct cancer-associated expression profiles, individually contributing to a combined tumor-wide molecular collage. We observed increased plasma cell proportions in diffuse-type tumors associated with epithelial-resident KLF2 and stage-wise accrual of cancer-associated fibroblast subpopulations marked by high INHBA and FAP coexpression. Single-cell comparisons between patient-derived organoids (PDO) and primary tumors highlighted inter- and intralineage similarities and differences, demarcating molecular boundaries of PDOs as experimental models. We complemented these findings by spatial transcriptomics, orthogonal validation in independent bulk RNA-sequencing cohorts, and functional demonstration using in vitro and in vivo models. Our results provide a high-resolution molecular resource of intra- and interpatient lineage states across distinct gastric cancer subtypes. SIGNIFICANCE: We profiled gastric malignancies at single-cell resolution and identified increased plasma cell proportions as a novel feature of diffuse-type tumors. We also uncovered distinct cancer-associated fibroblast subtypes with INHBA-FAP-high cell populations as predictors of poor clinical prognosis. Our findings highlight potential origins of deregulated cell states in the gastric tumor ecosystem. This article is highlighted in the In This Issue feature, p. 587.

Indexed as

Cancer-Associated FibroblastsStomach NeoplasmsEcosystemHumansSingle-Cell AnalysisTranscriptomeTumor Microenvironment

Identifiers

PMID34642171
PMCPMC9394383
OpenAlexW3206448904

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.