Dataset Information

Genetic susceptibility loci for breast cancer by estrogen receptor status.

ABSTRACT: Breast cancer is a heterogeneous disease, and risk factors could be differentially associated with the development of distinct tumor subtypes that manifest different biological behavior and progression. In support of this view, there is growing evidence that known breast cancer risk factors vary by hormone receptor status and perhaps other pathologic characteristics of disease. Recent work from large consortial studies has led to the discovery of novel breast cancer susceptibility loci in genic (CASP8, FGFR2, TNRC9, MAP3K1, LSP1) and nongenic regions (8q24, 2q35, 5p12) of the genome, and to the finding of substantial heterogeneity by tumor characteristics. In particular, susceptibility loci in FGFR2, TNRC9, 8q24, 2q35, and 5p12 have stronger associations for estrogen receptor-positive (ER+) disease than estrogen receptor-negative (ER -) disease. These findings suggest that common genetic variants can influence the pathologic subtype of breast cancer, and provide further support for the hypothesis that ER+ and ER(-) disease result from different etiologic pathways. Current studies had limited power to detect susceptibility loci for less common tumor subtypes, such as ER(-) disease including triple-negative and basal-like tumors. Ongoing work targeting uncommon subtypes is likely to identify additional tumor-specific susceptibility loci in the near future. Characterization of etiologic heterogeneity of breast cancer may lead to improvements in the understanding of the biological mechanisms for breast cancer, and ultimately result in improvements in prevention, early detection, and treatment.

SUBMITTER: Garcia-Closas M

PROVIDER: S-EPMC2668137 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Genetic susceptibility loci for breast cancer by estrogen receptor status.

Garcia-Closas Montserrat M Chanock Stephen S

Clinical cancer research : an official journal of the American Association for Cancer Research 20081201 24

Breast cancer is a heterogeneous disease, and risk factors could be differentially associated with the development of distinct tumor subtypes that manifest different biological behavior and progression. In support of this view, there is growing evidence that known breast cancer risk factors vary by hormone receptor status and perhaps other pathologic characteristics of disease. Recent work from large consortial studies has led to the discovery of novel breast cancer susceptibility loci in genic ...[more]

PMID: 19088016

Similar Datasets

Project description:BackgroundEstrogens are known to regulate the proliferation of breast cancer cells and to modify their phenotypic properties. Identification of estrogen-regulated genes in human breast tumors is an essential step toward understanding the molecular mechanisms of estrogen action in cancer. To this end we generated and compared the Serial Analysis of Gene Expression (SAGE) profiles of 26 human breast carcinomas based on their estrogen receptor alpha (ER) status. Thus, producing a breast cancer SAGE database of almost 2.5 million tags, representing over 50,000 transcripts.ResultsWe identified 520 transcripts differentially expressed between ERalpha-positive (+) and ERalpha-negative (-) primary breast tumors (Fold change >or= 2; p < 0.05). Furthermore, we identified 220 high-affinity Estrogen Responsive Elements (EREs) distributed on the promoter regions of 163 out of the 473 up-modulated genes in ERalpha (+) breast tumors. In brief, we observed predominantly up-regulation of cell growth related genes, DNA binding and transcription factor activity related genes based on Gene Ontology (GO) biological functional annotation. GO terms over-representation analysis showed a statistically significant enrichment of various transcript families including: metal ion binding related transcripts (p = 0.011), calcium ion binding related transcripts (p = 0.033) and steroid hormone receptor activity related transcripts (p = 0.031). SAGE data associated with ERalpha status was compared with reported information from breast cancer DNA microarrays studies. A significant proportion of ERalpha associated gene expression changes was validated by this cross-platform comparison. However, our SAGE study also identified novel sets of genes as highly expressed in ERalpha (+) invasive breast tumors not previously reported. These observations were further validated in an independent set of human breast tumors by means of real time RT-PCR.ConclusionThe integration of the breast cancer comparative transcriptome analysis based on ERalpha status coupled to the genome-wide identification of high-affinity EREs and GO over-representation analysis, provide useful information for validation and discovery of signaling networks related to estrogen response in this malignancy.

Project description:ImportanceBreast cancer (BC), the most prevalent cancer among women globally, is a heterogeneous disease, with prognosis differing by estrogen receptor (ER) status. Having a family history of BC increases the risk of BC; however, it is unclear whether family history is associated with the prognosis of overall and ER-specific BC.ObjectiveTo assess whether a family history of BC is associated with the prognosis of overall and ER-specific BC.Design, setting, and participantsThis cohort study was based on data from several national registers in Sweden. All female residents of Stockholm who were born after 1932; had their first BC diagnosis between January 1, 1991, and December 31, 2019; and had at least 1 identified female first-degree relative (FDR) were included. Women who were diagnosed with other types of cancer before their BC diagnosis, were older than 75 years at diagnosis, or had distant metastasis at diagnosis were excluded. A total of 28 649 women were included. Data were analyzed from January 10, 2022, to December 20, 2022.ExposuresFamily history of BC, defined as 1 or more female FDRs diagnosed with BC.Main outcomes and measuresPatients were followed up until BC-specific death, censoring, or end of follow-up on December 31, 2019. The role of family history in BC-specific mortality was investigated using flexible parametric survival models among the full cohort, ER-positive subgroup, and ER-negative subgroup, adjusting for demographic characteristics, tumor characteristics, and treatments received.ResultsAmong 28 649 patients, the mean (SD) age at BC diagnosis was 55.7 (10.4) years; 19 545 (68.2%) had ER-positive BC, and 4078 (14.2%) had ER-negative BC. Overall, 5081 patients (17.7%) had at least 1 female FDR diagnosed with BC, while 384 (1.3%) had a family history of early-onset BC (FDR diagnosed before age 40 years). During the follow-up period (median [IQR], 8.7 [4.1-15.1] years), 2748 patients (9.6%) died of BC. Multivariable analyses revealed that having a family history of BC was associated with a lower risk of BC-specific death among the full cohort (hazard ratio [HR], 0.78; 95% CI, 0.65-0.95) and the ER-negative subgroup (HR, 0.57; 95% CI, 0.40-0.82) in the first 5 years, after which no association was observed. However, having an early-onset family history was associated with a higher risk of BC-specific death (HR, 1.41; 95% CI, 1.03-2.34).Conclusions and relevanceIn this study, patients with a family history of BC did not necessarily have a worse prognosis. Those with ER-negative status and a family history of BC had more favorable outcomes in the first 5 years after diagnosis, possibly due to enhanced motivation to receive and adhere to treatment. However, patients with a family history of early-onset BC had worse survival, suggesting that genetic testing of newly diagnosed patients with early-onset family history may provide useful information to aid treatment and future research.

Dataset Information

Genetic susceptibility loci for breast cancer by estrogen receptor status.

Publications

Genetic susceptibility loci for breast cancer by estrogen receptor status.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets