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• W3083048463 abstract "Abstract Oral cancer (OC) ranked as eleventh malignancy worldwide, with the increasing incidence among young patients. Limited understanding of complications in cancer progression, its development system, and their interactions are major restrictions towards the progress of optimal and effective treatment strategies. The system-level approach has been designed to explore genetic complexity of the disease and to identify novel oral cancer related genes to detect genomic alterations at molecular level, through cDNA differential analysis. We analyzed 21 oral cancer-related cDNA datasets and listed 30 differentially expressed genes (DEGs). Among 30, we found 6 significant DEGs including CYP1A1, CYP1B1, ADCY2, C7, SERPINB5, and ANAPC13 and studied their functional role in OC. Our genomic and interactive analysis showed significant enrichment of xenobiotics metabolism, p53 signaling pathway and microRNA pathways, towards OC progression and development. We used human proteomic data for post-translational modifications to interpret disease mutations and inter-individual genetic variations. The mutational analysis revealed the sequence predicted disordered region of 14%, 12.5%, 10.5% for ADCY2, CYP1B1, and C7 respectively. The MiRNA target prediction showed functional molecular annotation including specific miRNA-targets hsa-miR-4282, hsa-miR-2052, hsa-miR-216a-3p, for CYP1B1, C7, and ADCY2 respectively associated with oral cancer. We constructed the system level network and found important gene signatures. The drug-gene interaction of OC source genes with seven FDA approved OC drugs help to design or identify new drug target or establishing novel biomedical linkages regarding disease pathophysiology. This investigation demonstrates the importance of system genetics for identifying 6 OC genes (CYP1A1, CYP1B1, ADCY2, C7, SERPINB5, and ANAPC13) as potential drugs targets. Our integrative network-based system-level approach would help to find the genetic variants of OC that can accelerate drug discovery outcomes to develop a better understanding regarding treatment strategies for many cancer types." @default.
• W3083048463 created "2020-09-11" @default.
• W3083048463 creator A5008758296 @default.
• W3083048463 creator A5052575857 @default.
• W3083048463 creator A5086487203 @default.
• W3083048463 date "2020-09-04" @default.
• W3083048463 modified "2023-10-16" @default.
• W3083048463 title "Systems-level differential gene expression analysis reveals new genetic variants of oral cancer" @default.
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• W3083048463 cites W1981251392 @default.
• W3083048463 cites W1981570640 @default.
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• W3083048463 doi "https://doi.org/10.1038/s41598-020-71346-7" @default.
• W3083048463 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7473858" @default.
• W3083048463 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32887903" @default.
• W3083048463 hasPublicationYear "2020" @default.
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