Evidence map›Paper›PMID 39815187›Full record

ArticleBMC cancer2025

Molecular subtype of ovarian clear cell carcinoma: an analysis of 80 Chinese patients using the TCGA molecular classification of endometrial cancer.

Wei Chen, Lu Yan, Qin Li, Shuling Zhou, Ting Hou, Huijuan Yang, Shuang Ye

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. Cited by 2 papers.

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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wei Chen *Department of Gynecologic Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China.
Lu Yan *Department of Gynecologic Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China.
Qin LiDepartment of Pathology, Fudan University Shanghai Cancer Centre, Shanghai, China.
Shuling ZhouDepartment of Pathology, Fudan University Shanghai Cancer Centre, Shanghai, China.
Ting HouBurning Rock Biotech, Guangzhou, Guangdong, China.
Huijuan YangDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China. huijuanyang@hotmail.com.
Shuang YeDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China. mendy_ye@126.com.

Funding

Minhang District Natural Science Research Foundation 2023MHZ067National Natural Science Foundation of China 82373419Natural Science Foundation of Shanghai Municipality 20ZR1413000
6 · The paper itself

Abstract

backgroundTo assess the utility of the TCGA molecular classification of endometrial cancer in a well-annotated, moderately sized, consecutive cohort of Chinese patients with ovarian clear cell carcinoma (OCCC).

methodsWe performed DNA sequencing on 80 OCCC patients via a panel that contains 520 cancer-related genes. The TCGA molecular subtyping method was utilized for classification. The clinicopathological features were analysed, and the survival correlation was assessed for each subtype.

resultsThe most common mutated genes were ARID1A (49%) and PIK3CA (48%). No pathogenic POLE mutations were detected. MSI-high (MSI-H) tumours were observed in 5 (6.3%) patients. A total of 16.3% (13/80) of the patients were classified as the p53 abnormal (p53abn) subtype, and 77.5% (62/80) were classified as the nonspecific molecular profile (NSMP) subtype. All the MSI-H patients had ARID1A mutations, whereas patients with the p53abn subtype had the lowest percentage of ARID1A mutations (27.3%). No significant differences were observed between the molecular subtypes and clinicopathological features. The progression-free survival and overall survival of the entire cohort were closely associated with FIGO stage (p < 0.01), the presence of residual tumour (p < 0.01), and the platinum response (p < 0.01). Molecular classification did not significantly impact prognosis. Univariate analysis revealed that TP53 mutations in advanced-stage (FIGO III-IV) patients were associated with shorter survival.

conclusionsWe did not find prognostic significance of TCGA molecular subtyping in OCCC. POLEmuts are extremely rare, and the incidence of MSI-H and p53abn tumours is also quite low. Further subtyping of the NSMP subgroup is warranted.

Indexed as

Adenocarcinoma, Clear CellEndometrial NeoplasmsOvarian NeoplasmsAdultAgedAged, 80 and overBiomarkers, TumorChinaClass I Phosphatidylinositol 3-KinasesDNA-Binding ProteinsEast Asian PeopleFemaleHumansMicrosatellite InstabilityMiddle AgedMutationARID1A protein, humanBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesDNA-Binding ProteinsPIK3CA protein, humanTP53 protein, humanTranscription FactorsTumor Suppressor Protein p53Microsatellite instabilityMolecular subclassificationNext-generation sequencingOvarian clear cell carcinomaPrognosisTCGA subtypes

Identifiers

PMID39815187
PMCPMC11737267

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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.