In:
Cancer Science, Wiley, Vol. 109, No. 3 ( 2018-03), p. 497-506
Abstract:
Cancer is a complex genetic disease that develops from the accumulation of genomic alterations in which germline variations predispose individuals to cancer and somatic alterations initiate and trigger the progression of cancer. For the past 2 decades, genomic research has advanced remarkably, evolving from single‐gene to whole‐genome screening by using genome‐wide association study and next‐generation sequencing that contributes to big genomic data. International collaborative efforts have contributed to curating these data to identify clinically significant alterations that could be used in clinical settings. Focusing on breast cancer, the present review summarizes the identification of genomic alterations with high‐throughput screening as well as the use of genomic information in clinical trials that match cancer patients to therapies, which further leads to cancer precision medicine. Furthermore, cancer screening and monitoring were enhanced greatly by the use of liquid biopsies. With the growing data complexity and size, there is much anticipation in exploiting deep machine learning and artificial intelligence to curate integrative “−omics” data to refine the current medical practice to be applied in the near future.
Type of Medium:
Online Resource
ISSN:
1347-9032
,
1349-7006
DOI:
10.1111/cas.2018.109.issue-3
Language:
English
Publisher:
Wiley
Publication Date:
2018
detail.hit.zdb_id:
2115647-5
detail.hit.zdb_id:
2111204-6
