Evidence mapPaperPMID 41008548Full record

ArticleBiomolecules2025

Transcriptome Analysis Unravels CD4

Baoyi Shao, Bo Sun, Zhongdang Xiao

Abstract read
In one paragraph

Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

3 authors.

Baoyi ShaoState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Bo SunState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Zhongdang XiaoState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian cancer ranks as the fifth leading cause of cancer-related mortality among women worldwide. Owing to its insidious onset and lack of early symptoms, over 70% of patients are diagnosed at advanced stages.

methodsThis study provides a comprehensive transcriptomic analysis of tumor-infiltrating CD4

resultsWe conducted an in-depth investigation into the clustering patterns, differentiation trajectories, intercellular interactions, and enrichment profiles of tumor-infiltrating T cells in ovarian cancer. Among the seven functionally defined subclusters (C1-C7), we delineated two distinct "terminal states" of CD4

conclusionsOur results establish a framework for studying Treg biology in ovarian cancer and these cells may be become an important point in the field of immunotherapy.

Indexed as

CD4-Positive T-LymphocytesCell DifferentiationOvarian NeoplasmsT-Lymphocytes, RegulatoryTranscriptomeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingCD4+ T cellovarian cancertranscriptomeTreg celltumor immune microenvironment

Identifiers

PMID41008548
PMCPMC12467124

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.