Evidence map›Paper›PMID 39548315›Full record

ArticleBritish journal of cancer2025

Integrated proteomics and scRNA-seq analyses of ovarian cancer reveal molecular subtype-associated cell landscapes and immunotherapy targets.

Rong Tan, Ming Wen, Wenqing Yang, Dongdong Zhan, Nairen Zheng, Mingwei Liu, Fang Zhu, Xiaodan Chen, Meng Wang, Siyu Yang and 7 more

Abstract read
In one paragraph

Article in British journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. MAP2K6 reprograms NADCell death & disease · 2026
    Article
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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

17 authors.

Rong Tan *Department of Gynecology, Xiangya Hospital, Central South University, Changsha, Hunan, China. rongtan@csu.edu.cn.ORCID http://orcid.org/0000-0002-3629-8668
Ming Wen *Department of Gynecology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Wenqing YangDepartment of Gynecology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Dongdong ZhanState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China.
Nairen ZhengState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China.
Mingwei LiuState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China.
Fang ZhuDepartment of Gynecology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiaodan ChenDepartment of Gynecology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Meng WangXiangya Cancer Center, Xiangya Hospital, Central South University, Changsha, China.
Siyu YangDepartment of Gynecology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Bin XieDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qiongqiong HeDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Kai YuanNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
Lunquan SunXiangya Cancer Center, Xiangya Hospital, Central South University, Changsha, China.
Yi WangState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China. wangyi@ncpsb.org.cn.
Jun QinState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China. qinjun@ncpsb.org.cn.
Yu ZhangDepartment of Gynecology, Xiangya Hospital, Central South University, Changsha, Hunan, China. xyzhangyu@csu.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81974451National Natural Science Foundation of China (National Science Foundation of China) 82073323
6 · The paper itself

Abstract

backgroundEpithelial ovarian cancer (EOC) represents the most lethal gynaecological malignancy, yet understanding the connections between its molecular subtypes and their therapeutic implications remains incomplete.

methodsWe conducted mass spectrometry-based proteomics analyses of 154 EOC tumour samples and 29 normal fallopian tubes, and single-cell RNA sequencing (scRNA-seq) analyses of an additional eight EOC tumours to classify proteomic subtypes and assess their cellular ecosystems and clinical significance. The efficacy of identified therapeutic targets was evaluated in patient-derived xenograft (PDX) and orthotopic mouse models.

resultsWe identified four proteomic subtypes with distinct clinical relevance: malignant proliferative (C1), immune infiltrating (C2), Fallopian-like (C3) and differentiated (C4) subtypes. C2 subtype was characterized by lymphocyte infiltration, notably an increased presence of GZMK CD8+ T cells and phagocytosis-like MRC+ macrophages. Additionally, we identified CD40 as a specific prognostic factor for C2 subtype. The interaction between CD40+ phagocytosis-like macrophages and CD40RL+ IL17R CD4+ T cells was correlated with a favourable prognosis. Finally, we established a druggable landscape for non-immune EOC patients and verified a TYMP inhibitor as a promising therapeutic strategy.

conclusionsOur study refines the current immune subtype for EOC, highlighting CD40 agonists as promising therapies for C2 subtype patients and targeting TYMP for non-immune patients.

Indexed as

Carcinoma, Ovarian EpithelialOvarian NeoplasmsProteomicsAnimalsFemaleHumansImmunotherapyMiceMiddle AgedPrognosisRNA-SeqSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTumor Microenvironment

Identifiers

PMID39548315
PMCPMC11723995

What OpenQuestion holds

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Registered trials

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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.