Dataset Information

Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.

ABSTRACT: Breast cancer is the most common cancer among women in the United States, with up to 30% of those diagnosed displaying a family history of breast cancer. To date, 18% of the familial risk of breast cancer can be explained by SNPs. This review summarizes the discovery of risk-associated SNPs using candidate gene and genome-wide association studies (GWAS), including discovery and replication in large collaborative efforts such as The Collaborative Oncologic Gene-environment Study and OncoArray. We discuss the evolution of GWAS studies, efforts to discover additional SNPs, and methods for identifying causal variants. We summarize findings associated with overall breast cancer, pathologic subtypes, and mutation carriers (BRCA1, BRCA2, and CHEK2). In addition, we summarize the development of polygenic risk scores (PRS) using the risk-associated SNPs and show how PRS can contribute to estimation of individual risks for developing breast cancer. Cancer Epidemiol Biomarkers Prev; 27(4); 380-94. ©2018 AACRSee all articles in this CEBP Focus section, "Genome-Wide Association Studies in Cancer."

SUBMITTER: Lilyquist J

PROVIDER: S-EPMC5884707 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.

Lilyquist Jenna J Ruddy Kathryn J KJ Vachon Celine M CM Couch Fergus J FJ

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20180130 4

Breast cancer is the most common cancer among women in the United States, with up to 30% of those diagnosed displaying a family history of breast cancer. To date, 18% of the familial risk of breast cancer can be explained by SNPs. This review summarizes the discovery of risk-associated SNPs using candidate gene and genome-wide association studies (GWAS), including discovery and replication in large collaborative efforts such as The Collaborative Oncologic Gene-environment Study and OncoArray. We ...[more]

PMID: 29382703

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Project description:The importance and role of the estrogen receptor (ER) pathway have been well-recognized in both breast cancer development and progression. The treatment of choice in women with estrogen receptor-positive metastatic breast cancer (ER+ mBC) is classically divided into a variety of endocrine therapies, with three of the most common being: selective estrogen receptor modulators (SERM), aromatase inhibitors (AI), and selective estrogen receptor degraders (SERD). However, resistance develops in 30-50% of patients treated with these endocrine therapies due to a sophisticated and at times redundant interference at the molecular level between the ER, growth factors, and downstream cell-signaling pathways. Tumor response is heightened with adjunctive therapy that includes an mTORC1 inhibitor (everolimus), CDK4/6 inhibitors (palbociclib/ribociclib/abemaciclib), and an α isoform-specific PI3K inhibitor (alpelisib). Each of these inhibitors elicits potent anti-proliferative benefits; however, they fail to induce tumor cell death. Consequently, disease progression almost invariably occurs. Evasion of apoptosis is a hallmark of cancer. The p53 and BCL2 represent two important nodes of the apoptosis signaling pathway. Venetoclax, a potent and selective BCL2 inhibitor, synergizes with hormonal therapy in ER+ breast cancer models and is active in clinical trials. Similarly, an MDM2 inhibitor, AMG-232, which induces p53 is active in early clinical trials of both liquid and advanced solid tumor patients. In our ER+ BC cohort (Avera Cancer Institute, Sioux Falls, SD), we observed more than 70% of wild type TP53 and over 10% amplification of MDM2 and MDM4 as comparable with the TCGA data set. We summarized current treatment options, the molecular mechanisms that predispose to endocrine resistance, and a future pro-apoptotic treatment strategy for ER+ mBC patients. Our review presents critical analyses of the therapeutic options for the clinical management of ER+ Metastatic Breast Cancer in the light of a hypothesis targeting the induction of apoptosis in p53 wild type tumors. We reviewed not only the FDA approved current treatment approaches but also presented a discourse addressing the possibilities for novel combination strategy that can induce tumor cell apoptosis, a critical cellular mechanism delaying/denying tumor progression. Our review is unique as it presents patient data in support of our hypothesis.

Dataset Information

Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.

Publications

Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.

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