1.DNA Methyltransferase Gene Polymorphisms for Prediction of Radiation-Induced Skin Fibrosis after Treatment of Breast Cancer: A Multifactorial Genetic Approach.
Salvatore TERRAZZINO ; Letizia DEANTONIO ; Sarah CARGNIN ; Laura DONIS ; Carla PISANI ; Laura MASINI ; Giuseppina GAMBARO ; Pier Luigi CANONICO ; Armando A GENAZZANI ; Marco KRENGLI
Cancer Research and Treatment 2017;49(2):464-472
PURPOSE: This study was conducted to investigate the role of four polymorphic variants of DNA methyltransferase genes as risk factors for radiation-induced fibrosis in breast cancer patients. We also assessed their ability to improve prediction accuracy when combined with mitochondrial haplogroup H, which we previously found to be independently associated with a lower hazard of radiation-induced fibrosis. MATERIALS AND METHODS: DNMT1 rs2228611,DNMT3A rs1550117,DNMT3A rs7581217, and DNMT3B rs2424908 were genotyped by real-time polymerase chain reaction in 286 Italian breast cancer patients who received radiotherapy after breast conserving surgery. Subcutaneous fibrosis was scored according to the Late Effects of Normal Tissue–Subjective Objective Management Analytical (LENT-SOMA) scale. The discriminative accuracy of genetic models was assessed by the area under the receiver operating characteristic curves (AUC). RESULTS: Kaplan-Meier curves showed significant differences among DNMT1 rs2228611 genotypes in the cumulative incidence of grade ≥ 2 subcutaneous fibrosis (log-rank test p-value= 0.018). Multivariate Cox regression analysis revealed DNMT1 rs2228611 as an independent protective factor for moderate to severe radiation-induced fibrosis (GG vs. AA; hazard ratio, 0.26; 95% confidence interval [CI], 0.10 to 0.71; p=0.009). Adding DNMT1 rs2228611 to haplogroup H increased the discrimination accuracy (AUC) of the model from 0.595 (95% CI, 0.536 to 0.653) to 0.655 (95% CI, 0.597 to 0.710). CONCLUSION: DNMT1 rs2228611 may represent a determinant of radiation-induced fibrosis in breast cancer patients with promise for clinical usefulness in genetic-based predictive models.
Breast Neoplasms*
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Breast*
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Discrimination (Psychology)
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DNA*
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Fibrosis*
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Genotype
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Humans
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Incidence
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Mastectomy, Segmental
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Models, Genetic
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Polymorphism, Single Nucleotide
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Protective Factors
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Radiation Tolerance
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Radiotherapy
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Real-Time Polymerase Chain Reaction
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Risk Factors
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ROC Curve
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Skin*
2.Discussion on critical points for a tailored therapy to cure hepatitis C virus infection
Nadia MARASCIO ; Angela QUIRINO ; Giorgio Settimo BARRECA ; Luisa GALATI ; Chiara COSTA ; Vincenzo PISANI ; Maria MAZZITELLI ; Giovanni MATERA ; Maria Carla LIBERTO ; Alfredo FOCÀ ; Carlo TORTI
Clinical and Molecular Hepatology 2019;25(1):30-36
Hepatitis C virus (HCV) infects around 71 million people worldwide and in 2018 it is still a major health problem. Since 2011, anti-HCV therapy with availability of direct-acting antiviral drugs has revolutionized the clinical response and paved the way to eradication strategies. However, despite the high rate of sustained virological response, treatment failure may occur in a limited percentage of patients, possibly due to resistance-associated substitutions (RASs), either emergent or pre-existent even in minority viral populations. Clearly this problem may impair success of eradication strategies. With this background, several questions marks still exist around HCV treatment, including whether pan-genotypic treatments with complete effectiveness in any clinical conditions really exist outside clinical trials, the actual cost-effectiveness of genotyping testing, and utility of RAS detection in viral quasispecies by next generation sequencing approach. In this review, we describe these critical points by discussing recent literature data and our research experience.
Antiviral Agents
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Genetic Variation
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Hepacivirus
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Hepatitis C
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Hepatitis
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High-Throughput Nucleotide Sequencing
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Humans
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Treatment Failure