Evidence map›Paper›PMID 39810181›Full record

ArticleWorld journal of surgical oncology2025

Single-cell transcriptomics unveils multifaceted immune heterogeneity in early-onset versus late-onset cervical cancer.

Qian Chen, Dongfeng Deng, Hong Zhu, Shan Li

Abstract readComparative Study
In one paragraph

Article in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

  1. Integrative single-cell analysis revealsFrontiers in immunology · 2026
    Article
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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

4 authors.

Qian ChenDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Dongfeng DengDepartment of Oncology, Hunan University of Medicine General Hospital, Huaihua, China.
Hong ZhuDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Shan LiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China. lishan2016@csu.edu.cn.

Funding

National Natural Science Foundation of China 82303256
6 · The paper itself

Abstract

Early-onset (EOCC) and late-onset cervical cancers (LOCC) represent two clinically distinct subtypes, each defined by unique clinical manifestations and therapeutic responses. However, their immunological profiles remain poorly explored. Herein, we analyzed single-cell transcriptomic data from 4 EOCC and 4 LOCC samples to compare their immune architectures. Epithelial cells in EOCC exhibited a notable dual immunological phenotype, characterized by immune-suppressive properties driven by elevated CXCL production, alongside immune-stimulatory features linked to heightened HLA molecule expression. CD4 + and CD8 + T cells in LOCC demonstrated a heightened activation state, while NK cells exhibited diminished cytotoxicity. Macrophages in LOCC displayed enhanced polarization towards both M1 and M2 phenotypes, along with dendritic cells showing augmented antigen-presenting capacity. Regarding cancer-associated fibroblasts (CAFs), EOCC was enriched with inflammatory CAFs, whereas LOCC harbored a higher proportion of antigen-presenting CAFs. These findings reveal the multifaceted immune heterogeneity between EOCC and LOCC, underscoring the imperative for age-tailored immunotherapeutic strategies.

Indexed as

Single-Cell AnalysisTranscriptomeUterine Cervical NeoplasmsAdultAge of OnsetCancer-Associated FibroblastsCD8-Positive T-LymphocytesDendritic CellsFemaleHumansKiller Cells, NaturalMiddle AgedPrognosisTumor MicroenvironmentAgeCervical cancerImmune heterogeneitySingle-cell RNA sequencing

Identifiers

PMID39810181
PMCPMC11730844

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.