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The association of variants in PNPLA3 and GRP78 and the risk of developing hepatocellular carcinoma in an Italian population
D. Balasus, M. Way, C. Fusilli, T. Mazza, MY. Morgan, M. Cervello, L. Giannitrapani, M. Soresi, R. Agliastro, M. Vinciguerra, G. Montalto,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články
NLK
Free Medical Journals
od 2010
Freely Accessible Journals
od 2010
PubMed Central
od 2010
Europe PubMed Central
od 2010
Open Access Digital Library
od 2010-01-01
- MeSH
- alely MeSH
- frekvence genu MeSH
- genetická predispozice k nemoci genetika MeSH
- genotyp MeSH
- hepatocelulární karcinom genetika MeSH
- jednonukleotidový polymorfismus * MeSH
- kohortové studie MeSH
- lidé středního věku MeSH
- lidé MeSH
- lipasa genetika MeSH
- membránové proteiny genetika MeSH
- nádory jater genetika MeSH
- proteiny teplotního šoku genetika MeSH
- rizikové faktory MeSH
- senioři MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Sicilie MeSH
Hepatocellular carcinoma (HCC) has one of the worst prognoses amongst all malignancies. It commonly arises in patients with established liver disease and the diagnosis often occurs at an advanced stage. Genetic variations, such as single nucleotide polymorphisms (SNPs), may alter disease risk and thus may have use as predictive markers of disease outcome. The aims of this study were (i) to assess the association of two SNPs, rs430397 in GRP78 and rs738409 in PNPLA3 with the risk of developing HCC in a Sicilian association cohort and, (ii) to use a machine learning technique to establish a predictive combinatorial phenotypic model for HCC including rs430397 and rs738409 genotypes and clinical and laboratory attributes. The controls comprised of 304 healthy subjects while the cases comprised of 170 HCC patients the majority of whom had hepatitis C (HCV)-related cirrhosis. Significant associations were identified between the risk of developing HCC and both rs430397 (p=0.0095) and rs738409 (p=0.0063). The association between rs738409 and HCC was significantly stronger in the HCV positive cases. In the best prediction model, represented graphically by a decision tree with an acceptable misclassification rate of 17.0%, the A/A and G/A genotypes of the rs430397 variant were fixed and combined with the three rs738409 genotypes; the attributes were age, sex and alcohol. These results demonstrate significant associations between both rs430397 and rs738409 and HCC development in a Sicilian cohort. The combinatorial predictive model developed to include these genetic variants may, if validated in independent cohorts, allow for earlier diagnosis of HCC.
Immunohematology and Transfusion Medicine Unit Civico Reference Regional Hospital Palermo Italy
Institute of Biomedicine and Molecular Immunology National Research Council Palermo Italy
IRCCS Casa Sollievo della Sofferenza Bioinformatics Unit San Giovanni Rotondo Italy
Citace poskytuje Crossref.org
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- $a The association of variants in PNPLA3 and GRP78 and the risk of developing hepatocellular carcinoma in an Italian population / $c D. Balasus, M. Way, C. Fusilli, T. Mazza, MY. Morgan, M. Cervello, L. Giannitrapani, M. Soresi, R. Agliastro, M. Vinciguerra, G. Montalto,
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- $a Hepatocellular carcinoma (HCC) has one of the worst prognoses amongst all malignancies. It commonly arises in patients with established liver disease and the diagnosis often occurs at an advanced stage. Genetic variations, such as single nucleotide polymorphisms (SNPs), may alter disease risk and thus may have use as predictive markers of disease outcome. The aims of this study were (i) to assess the association of two SNPs, rs430397 in GRP78 and rs738409 in PNPLA3 with the risk of developing HCC in a Sicilian association cohort and, (ii) to use a machine learning technique to establish a predictive combinatorial phenotypic model for HCC including rs430397 and rs738409 genotypes and clinical and laboratory attributes. The controls comprised of 304 healthy subjects while the cases comprised of 170 HCC patients the majority of whom had hepatitis C (HCV)-related cirrhosis. Significant associations were identified between the risk of developing HCC and both rs430397 (p=0.0095) and rs738409 (p=0.0063). The association between rs738409 and HCC was significantly stronger in the HCV positive cases. In the best prediction model, represented graphically by a decision tree with an acceptable misclassification rate of 17.0%, the A/A and G/A genotypes of the rs430397 variant were fixed and combined with the three rs738409 genotypes; the attributes were age, sex and alcohol. These results demonstrate significant associations between both rs430397 and rs738409 and HCC development in a Sicilian cohort. The combinatorial predictive model developed to include these genetic variants may, if validated in independent cohorts, allow for earlier diagnosis of HCC.
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