integrated analysis, CRC.pdf (795.29 kB)
Integrated analysis of multi-omics data for the discovery of biomarkers and therapeutic targets for colorectal cancer
journal contribution
posted on 2023-06-10, 06:15 authored by Nima Zafari, Parsa Bathaei, Mahla Velayati, Fatemeh Khojasteh-Leylakoohi, Majid Khazaei, Hamid Fiuji, Mohammadreza Nassiri, Seyed Mahdi Hassanian, Gordon FernsGordon Ferns, Elham Nazari, Amir AvanThe considerable burden of colorectal cancer and the rising trend in young adults emphasize the necessity of understanding its underlying mechanisms, providing new diagnostic and prognostic markers, and improving therapeutic approaches. Precision medicine is a new trend all over the world and identification of novel biomarkers and therapeutic targets is a step forward towards this trend. In this context, multi-omics data and integrated analysis are being investigated to develop personalized medicine in the management of colorectal cancer. Given the large amount of data from multi-omics approach, data integration and analysis is a great challenge. In this Review, we summarize how statistical and machine learning techniques are applied to analyze multi-omics data and how it contributes to the discovery of useful diagnostic and prognostic biomarkers and therapeutic targets. Moreover, we discuss the importance of these biomarkers and therapeutic targets in the clinical management of colorectal cancer in the future. Taken together, integrated analysis of multi-omics data has great potential for finding novel diagnostic and prognostic biomarkers and therapeutic targets, however, there are still challenges to overcome in future studies.
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Publication status
- Published
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- Accepted version
Journal
Computers in Biology and MedicineISSN
0010-4825Publisher
ElsevierExternal DOI
Volume
155Page range
a106639Department affiliated with
- Division of Medical Education Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2023-02-17First Compliant Deposit (FCD) Date
2023-02-17Usage metrics
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