Evidence map›Paper›PMID 41692918›Full record

ArticleJournal of the Egyptian National Cancer Institute2026

Positive rates of endometrial and cervical cytology in ovarian cancer patients with BRCA1/2 germline pathogenic variants.

Eitaro Funada, Hidetaka Nomura, Tsubasa Kon, Yuri Kuratomi, Toshiaki Watanabe, Mayumi Kamata, Atsushi Fusegi, Akiko Abe, Shogo Nishino, Motoko Kanno and 11 more

Abstract read
In one paragraph

Article in Journal of the Egyptian National Cancer Institute, 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
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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

21 authors.

Eitaro FunadaCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Hidetaka NomuraCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan. hidetaka.nomura@jfcr.or.jp.
Tsubasa KonCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Yuri KuratomiCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Toshiaki WatanabeCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Mayumi KamataCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Atsushi FusegiCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Akiko AbeCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Shogo NishinoCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Motoko KannoCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Sachiho NetsuCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Makiko OmiCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Yoichi AokiCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Terumi TanigawaCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Sanshiro OkamotoCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Mayu YunokawaCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Naoko YamazakiCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Tomohiro ChibaCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Yui KojimaCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Akiko TonookaCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Hiroyuki KanaoCancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe optimal approach for early-stage ovarian cancer detection remains unclear, particularly in patients with hereditary breast and ovarian cancer (HBOC). As ovarian cancer in HBOC is often thought to originate from the fallopian tube fimbriae, endometrial cytology may play a role in detecting early-stage disease. This retrospective study aimed to assess the positive rate of endometrial cytology and compare to cervical cytology in ovarian cancer patients with patients with BRCA1/2 germline pathogenic variants (gPV).

methodsPatients with genetically confirmed BRCA1/2 gPV diagnosed with ovarian, fallopian tube, or primary peritoneal cancer from May 1998 to April 2024 at our institution were included. Those who underwent endometrial and cervical cytology prior to initial treatment were eligible for this analysis. The positive rates for each cytology type were evaluated.

resultsA total of 154 patients with BRCA1/2 gPV were enrolled, 118 underwent both endometrial and cervical cytology. The positive rate for endometrial cytology was significantly higher than that for cervical cytology (36.4% vs. 15.3%; p < 0.001). Additionally, a correlation was observed between the positive rate of endometrial cytology and cancer stage (Stage I 16.6%, Stage II 25%, Stage III 41.5%, Stage IV 58.6%; r = 0.9895).

conclusionIn this retrospective study, the positive rate of endometrial cytology surpassed that of cervical cytology. Endometrial cytology may play a role as a potential surveillance tool for women with BRCA1/2 gPV, even at early stages of ovarian cancer.

Indexed as

BRCA1 ProteinBRCA2 ProteinCervix UteriEndometriumGerm-Line MutationOvarian NeoplasmsAdultAgedCytodiagnosisFemaleHumansMiddle AgedNeoplasm StagingRetrospective StudiesBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanCancer surveillanceCervical cytologyEndometrial cytologyHBOCOvarian cancerPositive rate

Identifiers

PMID41692918
PMCPMC13313297

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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.