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Siddhartha Yadav, Sonya Reid, Binyam Yilma +13 more ยท 2026 ยท Journal of the National Cancer Institute ยท Oxford University Press ยท added 2026-04-24
The association of germline pathogenic and likely pathogenic variants (GPVs) in hereditary breast cancer genes with underlying tumor biology and clinical outcomes remain incompletely understood. This Show more
The association of germline pathogenic and likely pathogenic variants (GPVs) in hereditary breast cancer genes with underlying tumor biology and clinical outcomes remain incompletely understood. This study characterized differences in somatic alterations and intrinsic subtypes between sporadic and hereditary breast cancers associated with GPVs in ATM, BRCA1, BRCA2, CHEK2, or PALB2. This retrospective cohort study included women with breast cancer and an ATM, BRCA1, BRCA2, CHEK2, or PALB2 GPV who underwent tumor sequencing and whole transcriptome RNA expression analysis. Clinicopathologic features, intrinsic subtypes, somatic alterations, and survival were compared by GPV status and immunohistochemistry-defined subtype, and to sporadic cases. All significance tests were 2-sided. 4,988 women with breast cancer included 98 BRCA1, 126 BRCA2, 74 PALB2, 54 ATM, and 83 CHEK2 GPVs. Compared to sporadic cases, HR+/HER2- tumors in BRCA1 GPVs were significantly enriched for basal subtype (45.5% vs 11.4%, pโ€‰<โ€‰0.001), while CHEK2 carriers had a higher prevalence of luminal A subtype (80.4% vs 60.3%, pโ€‰=โ€‰0.006). In HR+/HER2- breast cancers, BRCA1 GPVs were enriched for TP53 alterations (84.6% vs 29.8%, qโ€‰<โ€‰0.001), ATM GPVs with FGFR1 alterations (35.4% vs 12.7%, qโ€‰=โ€‰0.04), and BRCA2 GPVs with APC alterations (10.1% vs 1.5%, qโ€‰=โ€‰0.004). Conversely, BRCA2 GPVs were inversely associated with PIK3CA alterations (13.0% vs 34.1%, qโ€‰=โ€‰0.005), and CHEK2 GPVs with TP53 alterations (8.0% vs 29.8%, qโ€‰=โ€‰0.02). GPVs in BRCA1, BRCA2, ATM, CHEK2, and PALB2 are associated with distinct intrinsic breast cancer subtypes and somatic genomic alterations. These findings may enhance precision in risk stratification and guide personalized treatment strategies. Show less
no PDF DOI: 10.1093/jnci/djag070
FGFR1