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Oncogenomics is a sub-field of genomics that characterizes cancer-associated genes.It focuses on genomic, epigenomic and transcript alterations in cancer. Cancer is a genetic disease caused by accumulation of DNA mutations and epigenetic alterations leading to unrestrained cell proliferation and neoplasm formation.
The tumor suppressing BRCA genes frequently help in cancer prevention. They control how cells divide and develop and help repair DNA damage BRCA gene abnormalities, however, can the likelihood of having specific cancers is raised. Cancers BRCA1 and BRCA2 are the two BRCA recognized cancer-causing gene alterations.
The cell cycle.Many tumor suppressors work to regulate the cycle at specific checkpoints in order to prevent damaged cells from replicating. A tumor suppressor gene (TSG), or anti-oncogene, is a gene that regulates a cell during cell division and replication. [1]
This gives a wider and more global view of cancer genetics, while these data are usually dispersed. [3] It includes a large iconography of about 35,000 images. Dan van Dyke said "This is one stop shopping that unifies cancer genetics information", and Lidia Larizza said that the Atlas was an "interdisciplinary resource".
The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1] [2] The overarching goal was to apply high-throughput genome analysis techniques to improve the ability to diagnose, treat, and prevent cancer through a better understanding of the genetic basis of the disease.
Replication of DNA in such cells leads to mutations and these mutations may cause cancer. Thus BRCA1 appears to have two roles related to the prevention of cancer, where one role is to promote repair of a specific class of damages and the second role is to induce apoptosis if the level of such DNA damage is beyond the cell's repair capability [69]
Public policy has protected people against genetic discrimination, defined in Taber's Cyclopedic Medical Dictionary (2001) as unequal treatment of persons with either known genetic abnormalities or the inherited propensity for disease; genetic discrimination may have a negative effect on employability, insurability and other socio-economic variables.
Overall, the application of Hi-C and its variants in cancer research provides unique insight into the molecular underpinnings of the driving factors of cell abnormality. [23] [80] [81] It can help explain biological phenomena (high MYC expression in T-ALL) and help aid drug development to target mechanisms unique to cancerous cells. [23] [80] [81]