Case Report: A combination of CHEK2 and high polygenic risk score leads to early-onset male breast cancer

Male breast cancer (MBC) is a rare disease, accounting for about 1% of all breast cancer cases worldwide. Compared to female breast cancer (FBC), MBC shows a higher prevalence of hormone receptor positivity and distinct germline predispositions, most frequently pathogenic variants in BRCA2 and CHEK2 . The contribution of mismatch repair (MMR) genes such as MSH6 to MBC risk remains, however, unclear. In addition, polygenic risk scores (PRS) have emerged as promising tools for breast cancer risk prediction but are not yet used in routine care. We report the case of a 42-year-old man diagnosed with invasive carcinoma of no special type, strongly estrogen receptor–positive, HER2-negative, and with a family history of breast and prostate cancer. Genetic testing revealed a pathogenic CHEK2 nonsense variant (p.Trp411*), a likely pathogenic MSH6 frameshift variant, and a breast cancer PRS in the 99th percentile. Tumor sequencing confirmed both germline variants but showed microsatellite stability and no loss of heterozygosity, arguing against a causal role of MSH6 . This case illustrates how PRS, in combination with moderate-risk variants, like those in CHEK2 , may drive early-onset MBC and highlights the need to incorporate polygenic models into risk assessment and counseling.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2026-03-16
DOI
https://doi.org/10.3389/fonc.2026.1764722
Primary Topic
Male Breast Health Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Case Report: A combination of CHEK2 and high polygenic risk score leads to early-onset male breast cancer

Hadeel Shamma, Jens Schnabel, Marion Tolkmitt, Marika Frank et al.
Frontiers in Oncology
Male Breast Health Studies
article

Case Report: A combination of CHEK2 and high polygenic risk score leads to early-onset male breast cancer

Hadeel Shamma, Jens Schnabel, Marion Tolkmitt, Marika Frank, Vincent Strehlow, Thomas Lingscheidt, Julia Hentschel, Kai Neukirchner, Beatrix Benedix, Sonja Wegscheider, Kamil Tamindarov, Karina Pillau, Diana Le Duc
article en

Abstract

Male breast cancer (MBC) is a rare disease, accounting for about 1% of all breast cancer cases worldwide. Compared to female breast cancer (FBC), MBC shows a higher prevalence of hormone receptor positivity and distinct germline predispositions, most frequently pathogenic variants in BRCA2 and CHEK2 . The contribution of mismatch repair (MMR) genes such as MSH6 to MBC risk remains, however, unclear. In addition, polygenic risk scores (PRS) have emerged as promising tools for breast cancer risk prediction but are not yet used in routine care. We report the case of a 42-year-old man diagnosed with invasive carcinoma of no special type, strongly estrogen receptor–positive, HER2-negative, and with a family history of breast and prostate cancer. Genetic testing revealed a pathogenic CHEK2 nonsense variant (p.Trp411*), a likely pathogenic MSH6 frameshift variant, and a breast cancer PRS in the 99th percentile. Tumor sequencing confirmed both germline variants but showed microsatellite stability and no loss of heterozygosity, arguing against a causal role of MSH6 . This case illustrates how PRS, in combination with moderate-risk variants, like those in CHEK2 , may drive early-onset MBC and highlights the need to incorporate polygenic models into risk assessment and counseling.

Frontiers in OncologyVol. 16
German Cancer Research Center (DE), Chemnitz University of Technology (DE), Helmholtz-Zentrum Dresden-Rossendorf (DE), Hereditary Disease Foundation (US), Women's Hospital (US), Center for Human Genetics (US), Medizinisches Versorgungszentrum Prof. Mathey, Prof. Schofer (DE), Institute of Human Genetics (PL), University Hospital Carl Gustav Carus (DE), Klinikum Chemnitz (DE)
Technische Universität Dresden, Universität Leipzig
Good health and well-being
Openalex Percentile: Top 24%
Male Breast Health Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.