Evidence map›Paper›PMID 40405429›Full record

ArticleJournal of gynecologic oncology2025

Molecular subtypes and quantitative analysis of PD-L1 and tumor-associated immune cells in uterine carcinosarcoma.

Lili Sun, Xiaozhuo Gao, Zehua Zhao, Yanmei Zhu

Abstract read
In one paragraph

Article in Journal of gynecologic 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

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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.

Lili Sun *Department of Pathology, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, China.ORCID 0000-0002-2656-693X
Xiaozhuo Gao *Department of Pathology, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, China.ORCID 0000-0003-0745-5289
Zehua ZhaoDepartment of Pathology, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, China.ORCID 0009-0000-3337-0102
Yanmei ZhuDepartment of Pathology, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, China. zhuyanmei@cancerhosp-ln-cmu.com.ORCID 0000-0001-5526-7624

Funding

Fundamental Research Funds for the Central Universities LD2023010Fundamental Research Funds for the Central Universities LD2023017Fundamental Research Funds for the Central Universities LD2023019Natural Science Foundation of Liaoning Province 2024-MS-271
6 · The paper itself

Abstract

objectiveIn the present study, molecular subtypes were determined, programmed death-ligand 1 (PD-L1) and tumor-associated immune cells (TAICs) were quantitatively detected, and their effect on prognosis in uterine carcinosarcoma (UCS) was analyzed.

methodsThe study included 65 UCS cases. Direct sequencing of POLE exonuclease domain and immunohistochemistry of mismatch repair (MMR) deficiency proteins and p53 were used to stratify molecular subtypes. QuPath was used for quantitative immunohistochemical detection of PD-L1 and TAICs. The chi square test was used to determine the association between molecular subtypes and expression of PD-L1 and TAICs. The Kaplan-Meier method and Cox proportional hazards regression were used for plotting and survival analysis.

resultsIn 65 UCS cases, 1 case (1.5%) was POLE ultramutated (POLEmut) subtype, 11 cases (16.9%) were deficient MMR (dMMR) subtype, 32 cases (49.3%) were p53 mutant (p53mut) subtype, and 21 cases (32.3%) were nonspecific molecular profile (NSMP) subtype. The positive density of PD-L1 in tumor (p=0.022), CD8 in stroma (p=0.036), and CD163 in stroma (p=0.025) were significantly associated with molecular subtypes. The patients with POLEmut and dMMR subtypes had a relatively better prognosis trend than patients with NSMP and p53mut subtypes. The patients with high positive density of PD-L1 in tumor had significantly better prognosis; however, high positive density of CD163 in stroma showed significantly worse prognosis.

conclusionUCS could be classified into four molecular subtypes associated with prognosis. PD-L1 and M2 macrophages could effectively predict the prognosis of patients with UCS.

Indexed as

B7-H1 AntigenCarcinosarcomaTumor-Associated MacrophagesUterine NeoplasmsAdultAgedAged, 80 and overBiomarkers, TumorDNA Mismatch RepairDNA Polymerase IIFemaleHumansImmunohistochemistryKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMiddle AgedB7-H1 AntigenBiomarkers, TumorCD274 protein, humanDNA Polymerase IIPOLE protein, humanPoly-ADP-Ribose Binding ProteinsTumor Suppressor Protein p53Immune MicroenvironmentMolecular SubtypesQuantitative AnalysisQuPathSurvival AnalysisUterine Carcinosarcoma

Identifiers

PMID40405429
PMCPMC12636112

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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.