Evidence map›Paper›PMID 42196154›Full record

ArticleInternational journal of molecular sciences2026

Transcriptomic Evidence of Immune-Tumor Uncoupling Defines a High-Risk State in Uterine Corpus Endometrial Carcinoma.

Chia-Hung Chen, Hui-Ju Kao, Chen-Lin Yu, Tzu-Hsiang Weng, Tsung-Tao Huang, Kai-Yao Huang, Shun-Long Weng

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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.

Chia-Hung ChenDepartment of Medical Research, Hsinchu MacKay Memorial Hospital, Hsinchu 30071, Taiwan.ORCID 0000-0003-0222-6081
Hui-Ju KaoDepartment of Medical Research, Hsinchu MacKay Memorial Hospital, Hsinchu 30071, Taiwan.
Chen-Lin YuDepartment of Medical Research, Hsinchu MacKay Memorial Hospital, Hsinchu 30071, Taiwan.ORCID 0000-0003-2948-1824
Tzu-Hsiang WengDepartment of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei 10449, Taiwan.
Tsung-Tao HuangNational Center for Instrumentation Research, National Institutes of Applied Research, Hsinchu 30076, Taiwan.
Kai-Yao HuangDepartment of Medical Research, Hsinchu MacKay Memorial Hospital, Hsinchu 30071, Taiwan.ORCID 0000-0001-9855-1035
Shun-Long WengDepartment of Medicine, MacKay Medical University, New Taipei 25245, Taiwan.

Funding

Mackay Memorial Hospital MMH-HB-11507National Science and Technology Council NSTC 114-2221-E-195-001
6 · The paper itself

Abstract

This study aimed to develop and validate a transcriptomic risk signature for uterine corpus endometrial carcinoma (UCEC) and to investigate whether the identified prognostic program reflects immune-tumor uncoupling within the tumor microenvironment. Using transcriptomic data from The Cancer Genome Atlas (TCGA) UCEC cohort, we identified a 28-gene transcriptomic signature defining a high-risk state. The derived risk score robustly stratified patients into distinct survival groups and remained an independent predictor of overall survival after adjustment for clinical covariates. Functional analyses revealed that high-risk tumors are characterized by a distinct immune-tumor uncoupling phenotype, in which interferon-gamma (IFNG)-associated inflammatory signaling is preserved but fails to translate into effective antitumor immune activity. Specifically, effector immune programs, including CD8 T cell-related signatures and cytotoxic activity, were consistently reduced despite elevated IFNG-associated signaling, indicating a functional discordance between immune activation and immune execution rather than classical T cell exhaustion. In parallel, high-risk tumors exhibited consistently elevated cell cycle and DNA repair-associated transcriptional programs, suggesting that proliferative and stress-adaptive mechanisms represent dominant drivers of poor prognosis. External assessment in an independent GEO cohort (GSE17025) demonstrated consistent associations between signature activity, tumor status, and histological grade, supporting the reproducibility of the underlying transcriptional program at the biological and clinicopathological level. Collectively, this study provides transcriptomic evidence for a previously underappreciated immune-tumor uncoupling state in UCEC and highlights the importance of integrating immune signaling and tumor-intrinsic programs to understand disease progression.

Indexed as

Endometrial NeoplasmsTranscriptomeBiomarkers, TumorCD8-Positive T-LymphocytesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansInterferon-gammaPrognosisTumor MicroenvironmentBiomarkers, TumorInterferon-gammaangiogenesiscell cycleimmune–tumor uncouplingtranscriptomic signaturetumor microenvironmentuterine corpus endometrial carcinoma

Identifiers

PMID42196154
PMCPMC13208045

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.