Journal article
Mutational analysis of driver genes with tumor suppressive and oncogenic roles in gastric cancer
PeerJ, Vol.5, e3585
2017
Abstract
Gastric cancer (GC) is a complex disease with heterogeneous genetic mechanisms. Genomic mutational profiling of gastric cancer not only expands our knowledge about cancer progression at a fundamental genetic level, but also could provide guidance on new treatment decisions, currently based on tumor histology. The fact that precise medicine-based treatment is successful in a subset of tumors indicates the need for better identification of clinically related molecular tumor phenotypes, especially with regard to those driver mutations on tumor suppressor genes (TSGs) and oncogenes (ONGs). We surveyed 313 TSGs and 160 ONGs associated with 48 protein coding and 19 miRNA genes with both TSG and ONG roles. Using public cancer mutational profiles, we confirmed the dual roles of CDKN1A and CDKN1B. In addition to the widely recognized alterations, we identified another 82 frequently mutated genes in public gastric cancer cohort. In summary, these driver mutation profiles of individual GC will form the basis of personalized treatment of gastric cancer, leading to substantial therapeutic improvements. © 2017 Wang et al.
Details
- Title
- Mutational analysis of driver genes with tumor suppressive and oncogenic roles in gastric cancer
- Authors
- Tianfang Wang (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringYining Liu (Author) - Guangzhou Medical University, ChinaMin Zhao (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and Engineering
- Publication details
- PeerJ, Vol.5, e3585; 17
- Publisher
- PeerJ, Ltd.
- Date published
- 2017
- DOI
- 10.7717/peerj.3585
- ISSN
- 2167-8359
- Copyright note
- Copyright © 2017 Wang et al. Distributed under Creative Commons CC-BY 4.0
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; GeneCology Research Centre - Legacy; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99451308302621
- Output Type
- Journal article
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- Domestic collaboration
- International collaboration
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- Oncology
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