Liver Cancer, especially hepatocellular carcinoma is a major global health challenge with increasing occurrence and mortality rates. This study aimed to explore and understand the molecular signature of the disease using bioinformatic analysis with The Cancer Genome Atlas Liver Hepatocellular Carcinoma dataset to identify differentially expressed genes and somatic mutations associated with patient survival. Transcriptome analysis revealed a significant difference in gene expression between tumor and normal tissues. Survival analysis linked specific genes to patient outcomes which suggests potential prognostic markers further proved by clinical enrichment analysis using Metascape, an online platform. Single nucleotide variant analysis uncovered frequently mutated genes, including TP53, CTNNB1, and TTN, and characterized the mutation landscape, revealing prevalent C>T transitions. The integration of transcriptome and mutation data complements potential therapeutic targets and driver mutations which are important for the liver cancer development and progression. Overall this study provides valuable insights and is a framework into the molecular mechanisms of HCC and identifies potential DEGs, biomarkers (FCN2, FCN3, and COLEC10), and clinically actionable targets for improved diagnosis and therapeutic strategies.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-23976 |
| Date | January 2024 |
| Creators | Biharilal, Yashish |
| Publisher | Högskolan i Skövde, Institutionen för hälsovetenskaper |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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