The value of genomics in dissecting the RAS-network and in guiding therapeutics for RAS-driven cancers
Autor: | Andrea H. Bild, Sunil Sharma, Gajendra Shrestha, Shelley M. MacNeil, David Jenkins, Jasmine A. McQuerry |
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Jazyk: | angličtina |
Předmět: |
0301 basic medicine
medicine.medical_treatment Genomics Gene expression signature Biology medicine.disease_cause Models Biological Article Targeted therapy 03 medical and health sciences 0302 clinical medicine Neoplasms medicine Animals Humans Molecular Targeted Therapy Cancer Genetics Mutation Mechanism (biology) Cell Biology medicine.disease 3. Good health Signaling network 030104 developmental biology 030220 oncology & carcinogenesis ras Proteins Signal transduction Pathway activity Signal Transduction Developmental Biology RAS |
Zdroj: | Seminars in Cell & Developmental Biology. :108-117 |
ISSN: | 1084-9521 |
DOI: | 10.1016/j.semcdb.2016.06.012 |
Popis: | The rise in genomic knowledge over the past decade has revealed the molecular etiology of many diseases, and has identified intricate signaling network activity in human cancers. Genomics provides the opportunity to determine genome structure and capture the activity of thousands of molecular events concurrently, which is important for deciphering highly complex genetic diseases such as cancer. In this review, we focus on genomic efforts directed towards one of cancer’s most frequently mutated networks, the RAS pathway. Genomic tools such as gene expression signatures and assessment of mutations across the RAS network enable the capture of RAS signaling complexity. Due to this high level of interaction and cross-talk within the network, efforts to target RAS signaling in the clinic have generally failed, and we currently lack the ability to directly inhibit the RAS protein with high efficacy. We propose that the use of gene expression data can identify effective treatments that broadly inhibit the RAS network as this approach measures pathway activity independent of mutation status or any single mechanism of activation. Here, we review the genomic studies that map the complexity of the RAS network in cancer, and that show how genomic measurements of RAS pathway activation can identify effective RAS inhibition strategies. We also address the challenges and future directions for treating RAS-driven tumors. In summary, genomic assessment of RAS signaling provides a level of complexity necessary to accurately map the network that matches the intricacy of RAS pathway interactions in cancer. |
Databáze: | OpenAIRE |
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