Evidence map›Paper›PMID 40069468›Full record

ArticleDiscover oncology2025

Leveraging microbiome signatures to predict tumor immune microenvironment and prognosis of patients with endometrial carcinoma.

Yuting Yang, Yuchen Meng, Ziyang Xu, Qin Zhang, Miaomiao Li, Fanbing Kong, Suping Zhang, Xinling Li, Yihua Zhu

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Microbiome-guided cancer immunotherapy: immune mechanisms, resistance pathways, and translational opportunities for precision oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

9 authors.

Yuting Yang *Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China.
Yuchen Meng *Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China.
Ziyang XuShanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China.
Qin ZhangShanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China.
Miaomiao LiShanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China.
Fanbing KongShanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China.
Suping ZhangShanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China.
Xinling LiShanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China. ntlxl@163.com.
Yihua ZhuShanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China. 11507039@zju.edu.cn.

Funding

Shanghai Municipal Health Commission 20214Y0226Sunshine Clinical Research Incubator Program 2024CRTS015Sunshine Clinical Research Incubator Program 2024CRTS017Sunshine Clinical Research Incubator Program 2024CRTS045
6 · The paper itself

Abstract

Recent studies suggest that the human microbiome influence tumor development. Endometrial carcinoma (EC) is the sixth most common malignancy in women. Recent research has demonstrated the microbes play a critical role in the development and metastasis of EC. However, it remains unclear whether intratumoral microbes are associated with tumor microenvironment (TME) and prognosis of EC. In this study, we collected the EC microbiome data from cBioPortal and constructed a prognostic model based on Resident Microbiome of Endometrium (RME). We then examined the relationship between the RME score, immune cell infiltration, immunotherapy-related signature, and prognosis. The findings demonstrated the independent prognostic value of the RME score for EC. The group with low RME scores had higher enrichment of immune cells. Drug sensitivity analysis revealed that the RME score may serve as a potential predictor of chemotherapy efficacy. In conclusion, our research offers new perspectives on the relationships between tumor immunity and microbes.

Indexed as

Endometrial cancerMicrobiomePrognostic biomarkersTumor immune microenvironment

Identifiers

PMID40069468
PMCPMC11896907

What OpenQuestion holds

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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.