Evidence map›Paper›PMID 40856420›Full record

ArticleCancer medicine2025

GATA3 as a Prognostic Marker in Early-Stage Classical Mycosis Fungoides: Association With Disease Progression and Survival Outcomes.

Pengfei Wen, Fan Li, Yao Xie, Wei Chen, Tingting Wang, Xiaoxue Zhuo, Lin Wang

Abstract read
In one paragraph

Article in Cancer medicine, 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

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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

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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.

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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

7 authors.

Pengfei WenDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Fan LiDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yao XieDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wei ChenDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Tingting WangDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaoxue ZhuoDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Lin WangDepartment of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0001-8704-1136

Funding

Sichuan Medical and Health Care Promotion Institute KY2022SJ0117
6 · The paper itself

Abstract

BACKGROUND AND

objectiveClassical mycosis fungoides (CMF), the most common form of primary cutaneous T-cell lymphoma, shows marked heterogeneity in disease progression and prognosis, while reliable molecular prognostic markers remain scarce. This study aimed to evaluate the prognostic significance of GATA-binding protein 3 (GATA3) expression in early-stage CMF.

methodsWe retrospectively analyzed 106 patients with early-stage CMF diagnosed at West China Hospital, Sichuan University, between 2009 and 2021. Immunohistochemistry (IHC) was performed to assess GATA3 expression in dermal tumor cells. Associations with progression-free survival (PFS) and overall survival (OS) were examined using Cox regression models adjusted by inverse probability of treatment weighting (IPTW). Receiver operating characteristic (ROC) curve analysis was conducted to evaluate predictive performance.

resultsHigh GATA3 expression (≥ 60%) was detected in 92.5% of cases. Elevated GATA3 levels were significantly associated with reduced PFS and OS. IPTW-adjusted Cox regression confirmed high GATA3 expression as an independent adverse prognostic factor. ROC curve analysis demonstrated strong predictive performance for CMF progression (AUC = 0.867), with an optimal cutoff of 57.5% (sensitivity 73.7%, specificity 94.3%). For clinical applicability, a 60% threshold was adopted.

conclusionHigh GATA3 expression is an independent adverse prognostic biomarker in early-stage CMF. Incorporating GATA3 into risk stratification models may improve prognostic accuracy and guide personalized treatment strategies.

Indexed as

Biomarkers, TumorGATA3 Transcription FactorMycosis FungoidesSkin NeoplasmsAdultAgedDisease ProgressionFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisProgression-Free SurvivalRetrospective StudiesROC CurveBiomarkers, TumorGATA3 protein, humanGATA3 Transcription Factorbiomarkerclassical mycosis fungoidesgata3prognosissurvivalt‐cell lymphoma

Identifiers

PMID40856420
PMCPMC12378640

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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.