What genetic mutations are most commonly associated with the development of Liver cancer ?
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Common genetic mutations associated with liver cancer include pathogenic alleles, non-coding mutations, single-nucleotide polymorphisms (SNPs), and alterations in genes like TP53, catenin, beta 1, Axin1, p16INK4, insulin-like growth factor 2 receptor, RB transcriptional corepressor 1, and cyclin D1 . Specific mutations like rs17401966 and BRAF V600E have been linked to liver cancer development . Moreover, mutations in genes such as EZH2 and CCND1 have been identified as potential biomarkers for liver cancer, along with a high tumor mutation burden (TMB) as a prognosis indicator . HCV-induced mutational signatures, including C->T transversions, have been observed in HCC cases, highlighting the role of viral infections in genetic alterations leading to liver cancer . These mutations play crucial roles in the pathogenesis and progression of liver cancer, emphasizing the importance of genetic biomarkers in its early detection and treatment.
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1 Citations | EZH2 c.1544A>G and CCND1 c.839A>T are the most common genetic mutations associated with the development of liver cancer, identified as potential biomarkers through the study. |
| C->T transversion mutations in genes like LRP2, KRT84, and JAK2 are commonly associated with liver cancer development, particularly in cases linked to hepatitis C virus infection. | |
| BRAF V600E mutation is associated with liver cancer development, affecting genes like BMP6, CXCL11, IL1B, TBX21, RSAD2, MMP10, and SERPIND1 through MAPK/ERK signaling pathway. | |
| Genetic mutations like TP53, catenin, beta 1, Axin1, p16INK4, and others, along with specific SNP like rs17401966, are commonly associated with the development of Liver cancer. | |
| Commonly associated genetic mutations in liver cancer include pathogenic alleles and novel genes identified through COSMIC data, aiding in early prediction and targeted therapy for liver cancer. |
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