Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/65645
Title: Unravelling genetic heterogeneity of hepatocellular carcinoma with driver genes and subclones
Authors: Ng, Ming Hwee
Keywords: DRNTU::Science::Biological sciences
Issue Date: 2015
Abstract: Integration of genetic studies in hepatocellular carcinoma (HCC) is lacking though its mortality rate has risen to the second highest. With 1186 samples from varying ethnicities, this study had collected the largest sample size to compile a catalog of HCC cancer genes with MutSigCV and 37 novel genes were discovered. Further increment of sample size would be valuable to build on a complete catalog, especially for driver genes that were mutated in less than 2% of samples. The driverness index of the driver genes was investigated to decipher the sole actionable drive of a cancer gene. Most driver genes required the complementation of another driver gene in tumorgenesis. This is true for CTNNB1 and TP53, which had been mutated in more than 300 samples and for AXIN1, which had been mutated in 68 samples. The clonality analysis next, determined if driver genes were found in all or a subset of a tumor and thus whether it was an early or late event in tumor evolution. It was concluded that most driver genes occurred as an early event. The genetic landscape of driverness and clonality in driver genes was drawn out in this study to unravel intratumor genetic heterogeneity and to further understand tumor evolution.
URI: http://hdl.handle.net/10356/65645
Schools: School of Biological Sciences 
Organisations: A*STAR Genome Institute of Singapore
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SBS Student Reports (FYP/IA/PA/PI)

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