Recurrent copy number alteration analysis identifies risk genes in young women with breast cancer

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Date
2016-10-09
Authors
Chi, Chen
Journal Title
Journal ISSN
Volume Title
Publisher
Cancer Informatics
Abstract
Breast cancer (BC) diagnosis in young women (<45 years old) has come forth as an independent factor with higher recurrence risk and death than their older counterparts, and it has been suggested that it may exhibit its own unique biology. Copy number alterations (CNAs) have led many to consider them as an alternate paradigm for the genetic basis of human diseases, as these large alterations may encompass key genes that contribute to carcinogenesis and disease progression. Although many complex diseases have been linked to CNAs in the genomic DNA, prior studies have yet to document age-related changes in somatic CNAs for young women with BC. We hypothesize recurrent somatic CNA regions uniquely found in young women with BC harbor cancer susceptibility genes that modulate the survival of young women with BC. We aim to find recurrent somatic CNA regions identified from BC microarray data and associate the CNA status of the genes harbored in the regions to the survival of young women with BC.
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Keywords
Breast cancer, CNA, Young age, Bioinformatics
Citation
Chi, Chen et al. “A Novel Graph-Based Algorithm to Infer Recurrent Copy Number Variations in Cancer.” Cancer Informatics 15.Suppl 2 (2016): 43–50. PMC. Web. 26 June 2017.