Evidence map›Paper›PMID 41080587›Full record

ArticleFrontiers in immunology2025

Profiling of immune cell subsets and functional characteristics of cervical cancer based on single cell RNA sequencing.

Yue Yuan, Dejun Sun, Mingyue Yang, Ying Xia, Chunli Yuan, Xiaosong Wang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Yue YuanDepartment of Regenerative Medical Science, School of Pharmaceutical Sciences, Jilin University, Changchun, China.
Dejun SunDepartment of Regenerative Medical Science, School of Pharmaceutical Sciences, Jilin University, Changchun, China.
Mingyue YangInstitute of Translational Medicine, The First Hospital of Jilin University, Changchun, China.
Ying XiaInstitute of Translational Medicine, The First Hospital of Jilin University, Changchun, China.
Chunli YuanSecond Department of General Gynecology, Gynecologic and Obstetrics Center, The First Hospital of Jilin University, Changchun, China.
Xiaosong WangInstitute of Translational Medicine, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A comprehensive characterization of immune cells within the tumor microenvironment (TME) of cervical squamous cell carcinoma (CSCC) is essential to advance understanding of tumor biology and guide immunotherapy development. Methods: Using single-cell RNA sequencing, we analyzed 14,441 immune cells isolated from tumor tissues and paratumor tissues of three CSCC patients. By integrating data on tumor suppressors, oncogenic factors, cytokines, and chemokines, we performed differential gene expression analyses across immune populations. Results: This analysis identified nine major immune cell subsets, including CD8 Discussion: This systematic comparison of the TME between tumor and paratumor tissues reveals dynamic changes in the immune landscape, providing insights and suggesting potential targets for further study to enhance understanding and treatment of CSCC.

Indexed as

Carcinoma, Squamous CellUterine Cervical NeoplasmsDendritic CellsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMiddle AgedSequence Analysis, RNASingle-Cell AnalysisTumor MicroenvironmentCCR7cervical cancerimmune cellsingle-cell RNA sequencingtumor microenvironment

Identifiers

PMID41080587
PMCPMC12508775

What Socratic 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 Socratic graph.