The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density

Dane Cheasley 1 2, Lisa Devereux 1 2 3, Siobhan Hughes 1, Carolyn Nickson 4 5 6, Pietro Procopio 4 5 6, Grant Lee 4, Na Li 1, Vicki Pridmore 7, Kenneth Elder 8 9 10, G Bruce Mann 2 8 9, Tanjina Kader 1 2, Simone M Rowley 1, Stephen B Fox 11, David Byrne 11, Hugo Saunders 1, Kenji M Fujihara 1, Belle Lim 1 12, Kylie L Gorringe # 2 13, Ian G Campbell # 1 2

Affiliations

PMID: 32802943
PMCID: PMC7414106
DOI: 10.1038/s41523-020-00176-7

Free PMC article

Abstract

Mammographic density (MD) influences breast cancer risk, but how this is mediated is unknown. Molecular differences between breast cancers arising in the context of the lowest and highest quintiles of mammographic density may identify the mechanism through which MD drives breast cancer development. Women diagnosed with invasive or in situ breast cancer where MD measurement was also available (n = 842) were identified from the Lifepool cohort of >54,000 women participating in population-based mammographic screening. This group included 142 carcinomas in the lowest quintile of MD and 119 carcinomas in the highest quintile. Clinico-pathological and family history information were recorded. Tumor DNA was collected where available (n = 56) and sequenced for breast cancer predisposition and driver gene mutations, including copy number alterations. Compared to carcinomas from low-MD breasts, those from high-MD breasts were significantly associated with a younger age at diagnosis and features associated with poor prognosis. Low- and high-MD carcinomas matched for grade, histological subtype, and hormone receptor status were compared for somatic genetic features. Low-MD carcinomas had a significantly increased frequency of TP53 mutations, higher homologous recombination deficiency, higher fraction of the genome altered, and more copy number gains on chromosome 1q and losses on 17p. While high-MD carcinomas showed enrichment of tumor-infiltrating lymphocytes in the stroma. The data demonstrate that when tumors were matched for confounding clinico-pathological features, a proportion in the lowest quintile of MD appear biologically distinct, reflective of microenvironment differences between the lowest and highest quintiles of MD.