Evidence map›Paper›PMID 40323562›Full record

ArticleBreast cancer (Tokyo, Japan)2025

Analysis of the conditions for applying BRCA genetic testing to women with breast cancer using the Japanese HBOC consortium and the Japanese organization of hereditary breast and ovarian cancer (JOHBOC) registry project database.

Masato Takahashi, Yuko Minoura, Hiroki Den, Tadashi Nomizu, Takanori Ishida, Hiraku Kumamaru, Masami Arai, Seigo Nakamura

Abstract read
In one paragraph

Article in Breast cancer (Tokyo, Japan), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Masato TakahashiDepartment of Breast Surgery, Hokkaido University Hospital, Sapporo, Japan. masato.takahashi@huhp.hokudai.ac.jp.ORCID http://orcid.org/0000-0002-6641-9598
Yuko MinouraCancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1926-2927
Hiroki DenDepartment of Hygiene, Public Health, and Preventative Medicine, School of Medicine, Showa University, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2530-3804
Tadashi NomizuDepartment of Surgery, Hoshi General Hospital, Koriyama, Japan.
Takanori IshidaBreast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID http://orcid.org/0000-0003-4565-4721
Hiraku KumamaruDepartment of Healthcare Quality Assessment, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Masami AraiDepartment of Clinical Genetics, Graduate School of Medicine, Juntendo University, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7544-4536
Seigo NakamuraDepartment of Hygiene, Public Health, and Preventative Medicine, School of Medicine, Showa University, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6597-9107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering past research in Europe and the USA, the conditions for medical insurance coverage of BRCA1/2 genetic testing (GT) in Japan have been established as follows: 1. Breast cancer onset at 45 years or younger age; 2. Triple-negative breast cancer (TNBC) onset at 60 years or younger age; 3. Onset of two or more primary breast cancers; 4. Family history of breast cancer, ovarian cancer, or pancreatic cancer up to the third degree; 5. Male breast cancer, 6. Ovarian, fallopian, or peritoneal cancers. However, data to determine the importance and extent of each factor in the current conditions are insufficient. Consequently, this study aimed to assess the validity of insurance coverage conditions in Japan, elucidate the relationship between these conditions, and explore the possibility of proposing new indicators.

methodsA total of 5987 breast cancer patients were enrolled from 92 centers participating in the HBOC consortium and the JOHBOC registry project. Of these, 5904 patients were analyzed after excluding 48 male breast cancer patients due to insufficient numbers for analysis and 35 patients whose age at breast cancer onset was unknown or unregistered. We compared 1,091 cases in which pathogenic variants (PVs) (BRCA1(B1s): 543, BRCA2(B2s): 548) were detected with 4580 cases in which no variants (non-Vs) were detected. Variants of uncertain significance (VUS: 233 cases) were not classified as either PVs or non-Vs for subsequent analysis. We investigated the validity of each condition under which an HBOC diagnosis could be considered for medical insurance coverage.

resultsRegardless of the insurance coverage conditions, the detection rate of pathogenic variants (DRPV) of all analyzed cases was 19.2%. The DRPV under the insurance coverage conditions for GT-'Age of breast cancer onset ≤ 45 years,' 'TNBC onset at ≤ 60 years,' ' ≥ 2 primary breast cancers,' 'Patients with breast cancer concurrent with ovarian cancer,' and ' ≥ 1 family history of breast or ovarian cancer up to the third degree'-was 25.4%, 31.6%, 24.6%, 48.8%, and 25.6%, respectively. Those within the insurance coverage group showed a pathogenic variant detection rate of 21.1%, compared to only 5.6% outside of the coverage. Our analysis indicates that medical insurance coverage conditions effectively identify candidates for GT. Furthermore, when examining the number of conditions met and the positivity rate, the positivity rate was 11.2%, with only one condition met. This rate increases exponentially as more conditions are met, underscoring the importance of multiple matching conditions. Additionally, those with comorbid ovarian cancer or a family history of ovarian cancer are more likely to have a pathogenic variant. Additionally, we reevaluated cases who did not meet the medical insurance conditions. TNBC occurrence was significantly associated with B1s, even when restricted to onset age ≥ 61 years. Familial history of prostate cancer also significantly associated with B2s.

conclusionThis study determined that the Japanese medical insurance coverage conditions effectively identified candidates eligible for GT. Consequently, it is imperative to disseminate information to all patients with breast cancer covered by insurance, emphasizing the opportunity for GT, particularly if they have ovarian cancer complications or a family history of ovarian cancer.

Indexed as

BRCA1 ProteinBRCA2 ProteinBreast NeoplasmsGenetic TestingAdultAgedAge of OnsetEast Asian PeopleFemaleGenetic Predisposition to DiseaseHumansJapanMaleMiddle AgedOvarian NeoplasmsRegistriesBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRCA1/2Breast cancerConditionsGenetic testingJapan

Identifiers

PMID40323562
PMCPMC12174290

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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.