| Literature DB >> 32699957 |
Michele Barone1, Alfredo Di Leo1, Carlo Sabbà2, Antonio Mazzocca3.
Abstract
Genetic heterogeneity is a well-recognized feature of hepatocellular carcinoma (HCC). The coexistence of multiple genetic alterations in the same HCC nodule contributes to explain why gene-targeted therapy has largely failed. Targeting of early genetic alterations could theoretically be a more effective therapeutic strategy preventing HCC. However, the failure of most targeted therapies has raised much perplexity regarding the role of genetic alterations in driving cancer as the main paradigm. Here, we discuss the methodological and conceptual limitations of targeting genetic alterations and their products that may explain the limited success of the novel mechanism-based drugs in the treatment of HCC. In light of these limitations and despite the era of the so-called "precision medicine," prevention and early diagnosis of conditions predisposing to HCC remain the gold standard approach to prevent the development of this type of cancer. Finally, a paradigm shift to a more systemic approach to cancer is required to find optimal therapeutic solutions to treat this disease.Entities:
Keywords: Gene-targeted therapy; Genetic alterations; Hepatocellular carcinoma; Integrative approach; Precision medicine; Tumor heterogeneity
Mesh:
Substances:
Year: 2020 PMID: 32699957 PMCID: PMC7376083 DOI: 10.1007/s12032-020-01392-8
Source DB: PubMed Journal: Med Oncol ISSN: 1357-0560 Impact factor: 3.064
Prevalence of main genetic alterations involved in hepatocarcinogenesis
| Gene | Type of genetic alteration | Function | Prevalence | Reference (year) |
|---|---|---|---|---|
| TERT (telomerase reverse-transcriptase) | Mutation (nucleotide substitutions) HBV-DNA insertions | Increased telomerase expression | 60–90 (%) | Nault (2013) [ Bruix (2015) [ Nault (2015) [ |
| CTNNB1 (cadherin-associated protein β1) | Exon 3 deletion Missense mutations HBV-DNA insertions | Activation of β-catenin Associated with IL6/JAK/STAT activation and inflammation | 25–62 (%) | Huang (2012) [ Guichard (2012) [ Kan (2013) [ Tian (2015) [ Nault (2017) [ |
| TP53 (tumor Protein 53) | Mutation codon 249 | Loss of function as tumor suppressor gene Gain of function as oncogene Loss of regulation of the immune response | 13–48 (%) | Guichard (2012) [ Takai (2014) [ Schulze (2015) [ Yamamoto (2018) [ Long (2019) [ |
| CDKN2A (cyclin-dependent kinase inhibitor 2A) | Homozygous deletions/mutations or epigenetic silencing | Loss of function as tumor suppressor gene | 2–12 | Guichard (2012) [ Totoki (2014) [ Schulze (2015) [ Tian (2015) [ |
| VEGFA (vascular endothelial growth factor A) | Gene amplification | Promotion of angiogenesis Stimulation of HGF production | 7–11% | Zucman (2015) [ Chiang ‘(2008) [ Llovelet (2016) [ Oh (2019) [ Horwitz (2014) [ |
| FGF19 (fibroblast growth factor 19) | Gene amplification | Proliferative signaling Anti-apoptosis | 6.5% | Raja (2019) [ [ |
| AXIN1-2, ARID2, ARID1A, TSC1/TSC2, KEAP1, MLL2 RPS6KA3 | Multiple mechanisms | WNT/β-catenin pathway SWI/SNF chromatin remodeling complexes Activation of the AKT/MTOR signaling Control of histone methylation | Low frequency | Zucman (2015) [ Nault (2017) [ |