In Silico Disease Models of Breast Cancer

作者: Anjana Munshi , Vandana Sharma

DOI: 10.1007/978-81-322-0843-3_16

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摘要: Breast cancer is a highly heterogeneous disease as consequence of multiple cells and genetic aberrations. It the second leading cause death among women in Western countries. has been reported that approximately 1 8 affected by breast one-third die from every year. The most common type infiltrating ductal carcinoma, which represents around 80 % all malignancies. Recent advances area have increased survival rate with cancer. post-genomic provided information regarding gene mutations their effect on pathogenesis well outcome A number interacting biomarkers belonging to different pathways influence progression However, we need more authenticated sophisticated technology for early diagnosis effective treatment In past few years, computational modeling or silico simulation processes gained momentum.

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