Literature DB >> 31120568

Breast cancer histologic subtypes show excess familial clustering.

N Lynn Henry1,2, Lisa A Cannon-Albright2,3,4.   

Abstract

BACKGROUND: The inherited predisposition to developing specific histologic subtypes of invasive breast carcinoma has been incompletely investigated. By using a large, population-based database, the authors sought to investigate familial clustering of breast cancer by histologic subtype.
METHODS: By using the Utah Population Database, which links genealogy records to the National Cancer Institute's statewide Surveillance, Epidemiology, and End Results cancer registry, the authors identified patients with breast cancer by histology and tested for evidence of shared genetic predisposition to histologic specific subtypes by examining pairwise relatedness and estimating the relative risk (RR) among first-degree, second-degree, and third-degree relatives.
RESULTS: The authors identified 23,629 individuals in the Utah Population Database who had at least 3 generations of genealogy and at least 1 primary breast cancer, 2883 (12.2%) of which were specific histologic subtypes other than invasive ductal carcinoma (including inflammatory [n = 178], lobular [n = 1688], and mucinous [n = 542]). Statistically significant excess distant relatedness was identified for the mucinous subtype (P = .011) as well as for inflammatory breast cancers (P = .024). The RR for breast cancer of any histology in second-degree relatives was significantly increased for patients with inflammatory (RR, 1.32; 95% CI, 1.02-1.68; P = .03), lobular (RR, 1.36; 95% CI, 1.25-1.47; P < .001), and mucinous (RR, 1.27; 95% CI, 1.12-1.44; P = .00021) subtypes.
CONCLUSIONS: These findings provide evidence for significant familial clustering within histological subtypes for lobular, mucinous, and inflammatory breast carcinomas. Further research is required to identify the underlying genetic variants responsible for the increased risk. Studies of high-risk pedigrees segregating a specific histologic subtype could be a powerful design for predisposition gene identification.
© 2019 American Cancer Society.

Entities:  

Keywords:  Utah Population Database (UPDB); breast cancer; familiality; inflammatory; lobular; mucinous

Mesh:

Year:  2019        PMID: 31120568      PMCID: PMC6716995          DOI: 10.1002/cncr.32198

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


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