Abstract
In the past, many attempts were made to solve the molecular mechanisms of cancer biology using a single OMICS approach through transcriptomics or proteomics for screening gene-level cancer-specific mutations, changed epigenetic profile, or varied mRNA and protein expressions. Apart from the contribution of these approaches in the identification of cancer-related mutations, alterations, these have lacked in establishing a direct link between molecular signatures and phenotypic examination of cancer hallmarks. Nevertheless, multi-OMICS approaches will reveal the underlying complex molecular mechanism of cancer hallmark stages like metastasis and angiogenesis. These approaches can very well be used to analyze cellular response to various cancer treatment therapies as well as find out molecular candidates having the potential to diagnose or cure. This chapter deals with applications of diverse OMICS approaches in the varied and dynamic field of cancer biology and also confers how these multi-OMICS approaches can be decisive in the personalized medicine field. The unified experimental data along with computational or mathematical data models have been accumulated in the Cancer Genome Atlas (TCGA) consortium, which further with the multi-OMICS approach will provide an opportunity to deal with the cancer cells complexity. This chapter will encourage the readers to integrate these OMICS approaches together to analyze the oncogenesis at different cellular, molecular, and system basis.
Original language | English |
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Title of host publication | Skin Cancer |
Subtitle of host publication | Pathogenesis and Diagnosis |
Publisher | Springer Nature |
Pages | 131-141 |
Number of pages | 11 |
ISBN (Electronic) | 9789811603648 |
ISBN (Print) | 9789811603631 |
DOIs | |
State | Published - 1 Jan 2021 |
Keywords
- Genomics
- Microbiomics
- OMICS
- Proteomics
- Radiomics
- Transcriptomics
ASJC Scopus subject areas
- General Medicine
- General Engineering