Dynamic, stage-course protein interaction network using high power CpG sites in Head and Neck Squamous Cell Carcinoma
Authors/Creators
- 1. Precision Medicine Lab (CECOS RMI)
- 2. Institute of Integrative Biosciences, CECOS University
- 3. Department of Bioengineering, University of Engineering and Applied Sciences, Swat
- 4. Centre fo Genomic Sciences, Rehman Medical Institute
Description
Head and neck cancer is the sixth leading cause of cancer across the globe and is more prevalent in the developing countries of South Asia, including Pakistan
DNA methylation is an important contributor to the pathophysiology of the various stages of cancer, making it important to understand the role of specific methylation events in each stage of a particular cancer
Previous studies have classified early and late stages of liver carcinoma using two-class machine learning models based on differentially methylated CpG sites
No studies have been conducted to classify pathological stages (I-IV) of HNSCC using four-class machine learning models with mutated gene-associated CpG sites in HNSCC, partly due to high computational expense and small sample size.
Files
Arsalan_Riaz 2023.pdf
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Additional details
References
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- 2.McMahon KW, KarunasenaE, Ahuja N. The Roles of DNA Methylation in the Stages of Cancer. Cancer journal (Sudbury, Mass). 2017;23(5):257-61.
- 3.Kaur H, BhallaS, RaghavaGPS. Classification of early and late stage liver hepatocellular carcinoma patients from their genomics and epigenomicsprofiles. PLOS ONE. 2019;14(9):e0221476.
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