Evidence map›Paper›PMID 42891872›Full record

ReviewCancer metastasis reviews2026

Histotype and molecular subtype integration in epithelial ovarian cancer: implications for targeted treatment.

Shuyi Liu, Chaoyang Sun

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Shuyi LiuDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chaoyang SunDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. suncydoctor@gmail.com.

Funding

Noncommunicable Chronic Diseases-National Science and Technology Major Project 2025ZD0545600
6 · The paper itself

Abstract

Ovarian cancer remains a major global health burden among women, ranking eighth in both cancer incidence and cancer mortality worldwide in 2024, with an estimated 330,731 new cases and 203,850 deaths. Epithelial ovarian cancer (EOC) accounts for more than 90% of ovarian cancers and comprises five major histological subtypes with distinct biological behavior, molecular alterations, and therapeutic vulnerabilities. However, most EOC histotypes continue to be managed primarily with surgery and platinum-based chemotherapy, underscoring the need to better define histotype-informed molecular targets and precision therapeutic strategies. This review summarizes the histological features, frequent molecular alterations, dysregulated signaling pathways, and clinically relevant protein-expression patterns across major EOC histotypes, with emphasis on their potential therapeutic implications. Representative clinical and preclinical evidence supporting histotype-specific targeted therapies is also discussed, with attention to differences in therapeutic actionability and evidence maturity. Building on this histotype-specific evidence, an integrated histotype-molecular therapeutic stratification framework covering five major EOC histotypes is proposed. By integrating histologic context with molecular profiling, this framework may help refine precision-guided therapeutic approaches and complement conventional management. Nevertheless, the clinical applicability and long-term benefits of therapies guided by this stratification framework remain to be confirmed in prospective studies.

Indexed as

Carcinoma, Ovarian EpithelialNeoplasms, Glandular and EpithelialOvarian NeoplasmsAnimalsFemaleHumansMolecular Targeted TherapySignal TransductionARID1AEpithelial ovarian cancerKRASPARP inhibitorPrecision oncologyTargeted therapy

Identifiers

PMID42891872
PMCPMC13676498

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.