Evidence map›Paper›PMID 41315479›Full record

ArticleNPJ breast cancer2025

Germline variants of the POLH and RAD51 genes are candidate variants associated with risk of hormone receptor-negative young-onset breast cancer.

Shu Yazaki, Rui Kitadai, Yukihide Momozawa, Teruhiko Yoshida, Takashi Yamanaka, Sho Shiino, Chisako Yamauchi, Kenichi Harano, Motonobu Saito, Yosuke Hirotsu and 42 more

Abstract read
In one paragraph

Article in NPJ breast cancer, 2025. 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

52 authors.

Shu YazakiDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Rui KitadaiDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan.
Teruhiko YoshidaDepartment of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan.
Takashi YamanakaDepartment of Breast Surgery and Oncology, Kanagawa Cancer Center, Yokohama, Japan.
Sho ShiinoDepartment of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan.
Chisako YamauchiDepartment of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan.
Kenichi HaranoDepartment of Experimental Therapeutics, National Cancer Center Hospital East, Chiba, Japan.
Motonobu SaitoDepartment of Gastrointestinal Tract Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan.
Yosuke HirotsuGenome Analysis Center, Yamanashi Central Hospital, Yamanashi, Japan.
Hisaki AibaDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Ryuji HamamotoDivision of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan.
Chikako ShimizuDepartment of Breast and Medical Oncology, Japan Institute of Health Security - National Center for Global Health and Medicine, Tokyo, Japan.
Akihiko ShimomuraDepartment of Breast and Medical Oncology, Japan Institute of Health Security - National Center for Global Health and Medicine, Tokyo, Japan.
Tatsunori ShimoiDepartment of Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
Kazuki SudoDepartment of Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
Masayuki YoshidaDepartment of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Kuniko SunamiDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Yuichi ShiraishiDivision of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan.
Aya KuchibaTeikyo University Graduate School of Public Health, Tokyo, Japan.
Megumi HoriSchool of Nursing, University of Shizuoka, Shizuoka, Japan.
Kota KatanodaDivision of Population Data Science, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Sadaaki TakataLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan.
Ayumi OgawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan.
Masahiro TorasawaDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Akifumi MochizukiDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Yoko ShimadaDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Kengo HiranumaDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Erisa FujiiDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Makoto HirataDepartment of Genetic Medicine and Services, National Cancer Center Hospital, Tokyo, Japan.
Yuji YamashitaDepartment of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan.
Takahiro KogawaDepartment of Advanced Medical Development, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Takeshi MurataDepartment of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan.
Saori FujiwaraDepartment of Breast Surgery and Oncology, Kanagawa Cancer Center, Yokohama, Japan.
Yohei MiyagiMolecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan.
Hiroshi NakagomiDepartment of Surgery, Yamanashi Central Hospital, Yamanashi, Japan.
Kazunoshin TachibanaDepartment of Breast Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan.
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Science, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Yoshinori MurakamiDepartment of Molecular Biology, Institute for Advanced Medical Sciences, Nippon Medical School, Tokyo, Japan.
Katsushi TokunagaGenome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Yosuke KawaiGenome Medical Science Project, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
NCBN Controls WGS Consortium
Biobank Japan ProjectInstitute of Medical Science, The University of Tokyo, Tokyo, Japan.
Masao OmataDepartment of Gastroenterology, Yamanashi Central Hospital, Yamanashi, Japan.
Tohru OhtakeDepartment of Breast Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan.
Akihiko SutoDepartment of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan.
Tatsuya OnishiDepartment of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan.
Yoichi NaitoDepartment of Experimental Therapeutics, National Cancer Center Hospital East, Chiba, Japan.
Toshinari YamashitaDepartment of Breast Surgery and Oncology, Kanagawa Cancer Center, Yokohama, Japan.
Kan YonemoriDepartment of Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan. tkkohno@ncc.go.jp.
Kouya ShiraishiDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan. kshirais@ncc.go.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Only 15% of young-onset breast cancers have identifiable hereditary germline pathogenic variants (PVs) in an established breast cancer susceptibility gene. However, it is believed that a significant proportion of these breast cancers have additional monogenic or rare risk variants that require identification. To uncover novel cancer susceptibility genes, we performed germline whole-exome/genome sequencing of samples from 564 patients with young-onset breast cancer (aged <40 years), as well as samples from 4032 female controls. The identified candidate variants were further genotyped in 6,967 independent breast cancer cases across all age groups. We identified two PVs that were significantly associated with the risk of hormone receptor-negative young-onset breast cancer: POLH p.K589T (OR = 3.65, 95% confidence interval [CI] = 1.28-10.4, P = 0.0095) and RAD51 p.M1fs (OR = 2.15, 95% CI = 1.15-4.02, P = 0.014). When BRCA1/2 PV carriers were excluded from the analysis, only RAD51 p.M1fs retained a significant association. Whole-genome sequencing of tumor samples carrying these germline risk variants revealed that they harbored mutational signatures indicative of a deficiency of homologous recombination. These findings suggest that hereditary POLH p.K589T and RAD51 p.M1fs are candidate variants associated with an increased risk of hormone receptor-negative breast cancer.

Identifiers

PMID41315479
PMCPMC12663359

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.