Evidence map›Paper›PMID 36357663›Full record

ArticleCommunications biology2022

Single-cell transcriptomics reveals cellular heterogeneity and molecular stratification of cervical cancer.

Chunbo Li, Hao Wu, Luopei Guo, Danyang Liu, Shimin Yang, Shengli Li, Keqin Hua

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
7.5field-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

75 citing papers in PubMed, 93 citations in OpenAlex.

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15 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

7 authors at 3 institutions in 1 country.

Chunbo Li *Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Hao Wu *Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Luopei GuoDepartment of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Danyang LiuDepartment of Pathology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Shimin YangDepartment of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Shengli LiPrecision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. shengli.li@sjtu.edu.cn.ORCID 0000-0001-5430-303X
Keqin HuaDepartment of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. huakeqinjiaoshou@163.com.ORCID 0000-0001-5359-8841
Obstetrics and Gynecology Hospital of Fudan University · CNShanghai Jiao Tong University · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer (CC) is the most common gynecological malignancy, whose cellular heterogeneity has not been fully understood. Here, we performed single-cell RNA sequencing (scRNA-seq) to survey the transcriptomes of 57,669 cells derived from three CC tumors with paired normal adjacent non-tumor (NAT) samples. Single-cell transcriptomics analysis revealed extensive heterogeneity in malignant cells of human CCs, wherein epithelial subpopulation exhibited different genomic and transcriptomic signatures. We also identified cancer-associated fibroblasts (CAFs) that may promote tumor progression of CC, and further distinguished inflammatory CAF (iCAF) and myofibroblastic CAF (myCAF). CD8

Indexed as

Cancer-Associated FibroblastsUterine Cervical NeoplasmsFemaleHumansPrognosisSingle-Cell AnalysisTranscriptome

Identifiers

PMID36357663
PMCPMC9649750
OpenAlexW4308885567

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.