Evidence map›Paper›PMID 40940856›Full record

ArticleCancers2025

Bilateral Salpingo-Oophorectomy Is Superior to Salpingectomy Alone in Preventing Non-Tubal Tumor Development in a Mouse Model of High-Grade Serous Carcinoma.

Yali Zhai, Eric R Fearon, Kathleen R Cho

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

3 authors.

Yali ZhaiDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.ORCID 0000-0001-9792-7336
Eric R FearonDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Kathleen R ChoDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.ORCID 0000-0003-0500-9998

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Eric R. Fearon · 1988 to 2026
$178.2M
Modeling Factors Associated with Risk of High-Grade Serous Carcinoma in MiceR01CA226756 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHO, KATHLEEN R. · 2019 to 2023
$2.6M
National Cancer Institute of the National Institutes of Health R01CA26756, P30CA046592NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA226756
6 · The paper itself

Abstract

BACKGROUND/

objectivesHigh-grade serous carcinoma (HGSC) is the leading cause of ovarian cancer-related mortality. It usually arises from fallopian tube epithelium, with a smaller subset arising in non-tubal sites including the ovary or peritoneum. The origin of HGSCs without evidence of tubal involvement remains unclear. Moreover, in women with genetic predisposition to developing HGSC, the additional protection afforded by prophylactic removal of the ovaries in addition to the fallopian tubes has not yet been established.

methodsWe used a well-characterized genetically engineered mouse model (GEMM) of oviductal HGSC based on conditional, somatic inactivation of the

resultsWhile bilateral salpingectomy significantly reduced the incidence of HGSCs in the GEMM model, bilateral salpingo-oophorectomy completely prevented tumor development. We identified an example of HGSC with apparent origin in endosalpingiosis, implicating endosalpingiosis as a likely precursor for non-tubal HGSC.

conclusionsOur findings confirm the superiority of bilateral salpingo-oophorectomy over salpingectomy alone in reducing HGSC risk and affirm the rationale for surgical strategies to reduce HGSC risk in women carrying pathogenic variants of

Indexed as

endosalpingiosisgenetically engineered mouse modelhigh-grade serous carcinomaprimary peritonealrisk-reducing surgery

Identifiers

PMID40940856
PMCPMC12427576

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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.