Evidence map›Paper›PMID 41664126›Full record

ArticleBMC women's health2026

Efficacy of FOXP3+Treg cells combined with platelet in predicting recurrence of cervical cancer: a retrospective study.

Shaoju Min, Luhong Xie, Yuting Wu, Li Bo, Yameng Liu, Yurong Zhu, Yujie Tan

Abstract read
In one paragraph

Article in BMC women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shaoju Min *Centre for Clinical Laboratories, Affiliated Hospital of Guizhou Medical University, 28 Guiyi Street, Yunyan District, Guiyang, 550004, China.
Luhong Xie *Centre for Clinical Laboratories, Affiliated Hospital of Guizhou Medical University, 28 Guiyi Street, Yunyan District, Guiyang, 550004, China.
Yuting Wu *Department of Pathology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Li BoDepartment of Pathology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yameng LiuSchool of Clinical Laboratory Science, Guizhou Medical University, Guiyang, China.
Yurong ZhuSchool of Clinical Laboratory Science, Guizhou Medical University, Guiyang, China.
Yujie TanCentre for Clinical Laboratories, Affiliated Hospital of Guizhou Medical University, 28 Guiyi Street, Yunyan District, Guiyang, 550004, China. tanyujie@gmc.edu.cn.ORCID 0000-0002-3021-0039

Funding

Key Lab for Chronic Disease Biomarkers of Guizhou Medical University 2024fy004National Foundation Training Program of Guizhou Medical University 21NSFCP15the National Natural Science Foundation of China NSFC 82360588the Science & Technology Foundation of Health Commission of Guizhou Province gzwkj2024-184
6 · The paper itself

Abstract

backgroundResearch on the impact of tumor-infiltrating immune cells(TIICs) combined with systemic inflammatory response (SIR) factors on cervical lesions and the prognosis of squamous cell cervical cancer (SCC) is limited. Therefore, this study aimed to evaluate the predictive and prognostic significance of TIICs and SIR factors in cervical epithelial lesions, specifically non-cervical epithelial lesions (NC), high-grade squamous intraepithelial lesions (HSIL), and SCC.

methodsThis retrospective study analyzed 163 patients in three cohorts: NC (n = 59), HSIL (n = 52), and SCC (n = 52). Tumor-infiltrating immune cells (TIICs) in the tumor/lesion center and adjacent stroma were assessed via immunohistochemistry and multiplex immunofluorescence, while systemic inflammatory response (SIR) factors were derived from preoperative blood counts. The primary outcome was relapse-free survival (RFS) in the SCC cohort, analyzed using Cox proportional hazards regression.

resultsTIICs were significantly elevated in the HSIL group compared with those in the NC group, accompanied by reduced platelet counts (PLT). The tumor stroma (TS) exhibited a greater degree of TIICs than the tumor/lesion center (TC) in both the HSIL and SCC groups. The presence of CD163+, CD11b+, and FOXP3 + TIICs, along with PLT levels, emerged as key indicators associated with the advanced histological stage. Compared to tTIICs, sTIICs demonstrated superior diagnostic performance in differentiating between HSIL and SCC groups. Lower levels of PLT (hazard ratio [HR] = 5.047, 95% confidence interval [CI]:1.373–18.540, P = 0.015), higher CD4 + T cells (HR = 0.211, 95%CI:0.062–0.722, P = 0.008), and FOXP3 + regulatory T cells (Tregs) (HR = 0.245, 95%CI:0.073–0.820, P = 0.010) were identified as poor prognostic indicators for recurrence-free survival (RFS) in SCC. A combination of FOXP3 + Tregs and PLT provided a more robust prediction of SCC recurrence. An increase in exhausted CD4 + T cells likely explains the observation that higher CD4 + T-cell infiltration correlated with lower RFS in SCC.

conclusionThe spatial distribution of TIICs, particularly the density in the tumor stroma, increases across the histological spectrum of cervical lesion severity. A signature combining FOXP3 + Treg cells and preoperative platelet counts provides a robust model for predicting SCC recurrence. Furthermore, the accumulation of exhausted CD4 + T cells appears to be a hallmark of disease advancement and poor prognosis, offering potential targets for personalized immunotherapy.

Indexed as

Blood PlateletsCarcinoma, Squamous CellForkhead Transcription FactorsLymphocytes, Tumor-InfiltratingNeoplasm Recurrence, LocalT-Lymphocytes, RegulatoryUterine Cervical NeoplasmsAdultFemaleHumansMiddle AgedPlatelet CountPrognosisRetrospective StudiesForkhead Transcription FactorsFOXP3 protein, humanCD4+ t-cell exhaustionCervical cancerFOXP3 + Treg cellsPlateletTumor center tumor-infiltrating immune cellsTumor stroma tumor-infiltrating immune cells

Identifiers

PMID41664126
PMCPMC12983664

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.