Evidence map›Paper›PMID 38278958›Full record

ArticleCommunications biology2024

Single-cell transcriptome analysis of epithelial, immune, and stromal signatures and interactions in human ovarian cancer.

Chaochao Chai, Langchao Liang, Nanna S Mikkelsen, Wei Wang, Wandong Zhao, Chengcheng Sun, Rasmus O Bak, Hanbo Li, Lin Lin, Fei Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 34 citations in OpenAlex.

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  10. Hypoxia-driven remodeling of SELENOPNature communications · 2026
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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

11 authors at 5 institutions in 2 countries.

Chaochao Chai *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 10049, China.
Langchao Liang *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 10049, China.
Nanna S MikkelsenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Wei WangDepartment of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wandong ZhaoCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 10049, China.
Chengcheng SunCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 10049, China.
Rasmus O BakDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-7383-0297
Hanbo LiLars Bolund Institute of Regenerative Medicine Qingdao-Europe Advanced Institute for LifeScience, BGI Research, Qingdao, 266555, China.ORCID 0000-0001-8778-9988
Lin LinDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-7546-4948
Fei WangLars Bolund Institute of Regenerative Medicine Qingdao-Europe Advanced Institute for LifeScience, BGI Research, Qingdao, 266555, China. wangfei@biomed.au.dk.ORCID 0000-0002-1751-7108
Yonglun LuoLars Bolund Institute of Regenerative Medicine Qingdao-Europe Advanced Institute for LifeScience, BGI Research, Qingdao, 266555, China. alun@biomed.au.dk.ORCID 0000-0002-0007-7759
BGI Group (China) · CNAarhus University · DKUniversity of Chinese Academy of Sciences · CNSteno Diabetes Centers · DKTongji Hospital · CN

Funding

Lundbeckfonden (Lundbeck Foundation) R396-2022-350Novo Nordisk Fonden (Novo Nordisk Foundation) NNF21OC0068988Novo Nordisk Fonden (Novo Nordisk Foundation) NNF21OC0072031
6 · The paper itself

Abstract

A comprehensive investigation of ovarian cancer (OC) progression at the single-cell level is crucial for enhancing our understanding of the disease, as well as for the development of better diagnoses and treatments. Here, over half a million single-cell transcriptome data were collected from 84 OC patients across all clinical stages. Through integrative analysis, we identified heterogeneous epithelial-immune-stromal cellular compartments and their interactions in the OC microenvironment. The epithelial cells displayed clinical subtype features with functional variance. A significant increase in distinct T cell subtypes was identified including Tregs and CD8+ exhausted T cells from stage IC2. Additionally, we discovered antigen-presenting cancer-associated fibroblasts (CAFs), with myofibroblastic CAFs (myCAFs) exhibiting enriched extracellular matrix (ECM) functionality linked to tumor progression at stage IC2. Furthermore, the NECTIN2-TIGIT ligand-receptor pair was identified to mediate T cells communicating with epithelial, fibroblast, endothelial, and other cell types. Knock-out of NECTIN2 using CRISPR/Cas9 inhibited ovarian cancer cell (SKOV3) proliferation, and increased T cell proliferation when co-cultured. These findings shed light on the cellular compartments and functional aspects of OC, providing insights into the molecular mechanisms underlying stage IC2 and potential therapeutic strategies for OC.

Indexed as

Cancer-Associated FibroblastsOvarian NeoplasmsCell Line, TumorFemaleFibroblastsHumansSingle-Cell Gene Expression AnalysisTumor Microenvironment

Identifiers

PMID38278958
PMCPMC10817929
OpenAlexW4391262110

What OpenQuestion holds

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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.