Evidence map›Paper›PMID 41331423›Full record

ArticleBMC cancer2025

A prognostic model based on immune cells in tumor microenvironment to predict prognosis in endometrial cancer.

Liwei Li, Yangyang Dong, He Li, Yibo Dai, Zhuoyu Zhai, Xiaobo Zhang, Danhua Shen, Jianliu Wang

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Liwei Li *Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Yangyang Dong *Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
He LiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Yibo DaiUTHealth Houston Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, USA.
Zhuoyu ZhaiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Xiaobo ZhangDepartment of Pathology, Peking University People's Hospital, Beijing, China.
Danhua ShenDepartment of Pathology, Peking University People's Hospital, Beijing, China.
Jianliu WangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China. wangjianliu1203@163.com.

Funding

Capital's Funds for Health Improvement and Research CFH 2022-2Z-4086National Key Technology Research and Developmental Program of China 2022YFC2704303Special Scientific Research Project for Health Development in the Capital 2022-1-4081The National Natural Science Foundation of China 81972426
6 · The paper itself

Abstract

objectiveThe interaction between the tumor immune microenvironment (TIME) and malignant tumor cells plays a crucial role in tumor initiation and progression. This study aimed to establish and validate a prognostic model based on TIME characteristics to predict prognosis and guide personalized treatment in patients with endometrial cancer (EC).

methodsA total of 67 EC patients who underwent surgery and TIME profiling at Peking University People's Hospital between January 2018 and December 2022 were included in this study. A prognostic model was developed based on the densities of stroma CD3

results(1) Multiplex immunofluorescence (mIF) analysis of the 67 EC patients revealed significant differences between the Recurrence and Non-Recurrence groups in the densities of stroma PD-L1

conclusionThis study identified two immune cell types-Stroma CD3

Indexed as

Endometrial NeoplasmsLymphocytes, Tumor-InfiltratingTumor MicroenvironmentAdultAgedBiomarkers, TumorCD8-Positive T-LymphocytesFemaleHumansMiddle AgedNeoplasm Recurrence, LocalPrognosisBiomarkers, TumorEndometrial cancerImmune microenvironmentMolecular classificationPrognostic model

Identifiers

PMID41331423
PMCPMC12798028

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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.