Evidence map›Paper›PMID 41244922›Full record

ArticleFrontiers in oncology2025

Prognostic value and early response stratification of a multi-biomarker panel in cervical cancer patients undergoing chemoradiotherapy.

Yu Wang, Na Gan, Shan Ning, Yinting Qiu

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

4 authors.

Yu WangDepartment of Gynecology, Pingxiang Maternal and Child Health Hospital, Pingxiang, Jiangxi, China.
Na GanDepartment of Gynecology, Pingxiang Maternal and Child Health Hospital, Pingxiang, Jiangxi, China.
Shan NingDepartment of Gynecology, Pingxiang Maternal and Child Health Hospital, Pingxiang, Jiangxi, China.
Yinting QiuDepartment of Gynecology, Pingxiang Maternal and Child Health Hospital, Pingxiang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Despite progress in chemoradiotherapy (CRT), outcomes in cervical cancer still vary widely. Minimally invasive biomarkers may enable risk stratification and treatment optimization. Methods: We prospectively enrolled 164 International Federation of Gynecology and Obstetrics (FIGO) IB-IVA patients, all receiving CRT plus brachytherapy. Baseline blood markers and HPV subtypes were assessed. Treatment response was evaluated at three months, and progression-free (PFS) and overall survival (OS) were measured over a median of 36 months. Results: Elevated squamous cell carcinoma antigen (SCC-Ag), Cancer antigen 125 (CA125), Interleukin-6 (IL-6), C-reactive protein (CRP), and high neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio (NLR/PLR) correlated with advanced disease. At three months, 87.1% showed complete response (CR) or partial response (PR). Higher IL-6, CRP, SCC-Ag, CA125, and NLR/PLR were linked to poorer response. At 36 months, PFS and OS were 65.2% and 74.5%, respectively. High-risk patients had lower PFS (58.1% Conclusions: A multi-biomarker panel shows superior discrimination for early response and is prognostic for survival in locally advanced cervical cancer. Larger, multi-institutional studies are warranted to validate this panel, standardize assays, and investigate additional markers or imaging-based strategies, ultimately facilitating more personalized therapy and improved outcomes. shows superior discrimination for early response and is prognostic for survival in locally advanced cervical cancer.

Indexed as

cervical cancerchemoradiotherapyhuman papillomavirusinflammationmulti-biomarker panelprognosisrisk stratificationtreatment response

Identifiers

PMID41244922
PMCPMC12611648

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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.