Evidence map›Paper›PMID 41154427›Full record

ArticleCancers2025

Ovarian Cancer in the Era of Precision Surgery and Targeted Therapies.

Yagmur Sisman, Tim Svenstrup Poulsen, Tine Henrichsen Schnack, Claus Høgdall, Estrid Høgdall

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Yagmur SismanDepartment of Gynecology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.
Tim Svenstrup PoulsenDepartment of Pathology, Copenhagen University Hospital, Herlev University Hospital, 2730 Herlev, Denmark.ORCID 0000-0001-9781-0541
Tine Henrichsen SchnackDepartment of Gynecology, Odense University Hospital, 5000 Odense, Denmark.
Claus HøgdallDepartment of Gynecology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark.ORCID 0000-0002-5959-8874
Estrid HøgdallDepartment of Pathology, Copenhagen University Hospital, Herlev University Hospital, 2730 Herlev, Denmark.ORCID 0000-0003-4689-5658

Funding

Danish Medical Women's Association 0The Research Council at Herlev University Hospital 0
6 · The paper itself

Abstract

backgroundHigh-grade serous ovarian cancer (HGSC) is the most common and aggressive subtype of ovarian cancer. Despite initial response to platinum-based chemotherapy, most patients relapse. Cytoreductive surgery at relapse has been shown to improve survival in selected patients, but the biological mechanisms underlying recurrence and resistance remain unclear. This study aimed to investigate whether the mutational profile of HGSC changes from diagnosis to relapse, and to evaluate treatment patterns and survival outcomes in a cohort undergoing cytoreductive surgery.

methodsSixteen patients with HGSC who underwent cytoreductive surgery at both diagnosis and relapse were included. Matched tumor tissue samples (

resultsAll patients harbored pathogenic or likely pathogenic mutations, most frequently in

conclusionsThe somatic mutational profile of HGSC remains remarkably stable from diagnosis to relapse. Clinically, this stability suggests that repeat mutational sequencing at relapse is unlikely to yield new actionable findings and may have limited value in guiding treatment decisions. Instead, resistance mechanisms likely arise from epigenetic or non-genetic changes, underscoring the need for future research in these areas and the continued importance of optimal surgical management in selected patients.

Indexed as

high-grade serous carcinomaovarian cancerprecision surgerytargeted therapy

Identifiers

PMID41154427
PMCPMC12562755

What OpenQuestion holds

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LicenceCC BY
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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.