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Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes

Authors
Heo, Yong JinHwa, ChanwoongLee, Gang-HeePark, Jae-MinAn, Joon-Yong
Issue Date
7월-2021
Publisher
KOREAN SOC MOLECULAR & CELLULAR BIOLOGY
Keywords
cancer research; genomics; multi-omics approach; proteogenomics; proteomics; systems biology
Citation
MOLECULES AND CELLS, v.44, no.7, pp.433 - 443
Indexed
SCIE
SCOPUS
KCI
Journal Title
MOLECULES AND CELLS
Volume
44
Number
7
Start Page
433
End Page
443
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/137249
DOI
10.14348/molcells.2021.0042
ISSN
1016-8478
Abstract
Multi-omics approaches are novel frameworks that integrate multiple omics datasets generated from the same patients to better understand the molecular and clinical features of cancers. A wide range of emerging omics and multi view clustering algorithms now provide unprecedented opportunities to further classify cancers into subtypes, improve the survival prediction and therapeutic outcome of these subtypes, and understand key pathophysiological processes through different molecular layers. In this review, we overview the concept and rationale of multi-omics approaches in cancer research. We also introduce recent advances in the development of multi-omics algorithms and integration methods for multiple-layered datasets from cancer patients. Finally, we summarize the latest findings from large-scale multi-omics studies of various cancers and their implications for patient subtyping and drug development.
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