To assess HCV genotype distribution and its determinants, 318 consecutive HCV RNA positive patients were examined. Subtype 1b infection was the most prevalent (35.5%), followed by subtype 1a (22%), 3a (21.4%) and 2 genotype (21.3%). Subtypes 1a, 1b and 3a had a comparable prevalence (30-35%) in the 0-15-, 16-30- and 31-45-year age groups. In subjects older than 45 years, genotype 2 prevalence increased, whereas subtype 1a and 3a infections decreased markedly. In this age group types 1b and 2 accounted for a prevalence of more than 90% in a comparable proportion. Genotype prevalence rates according to different risk factors were different statistically (P < 0.001): subtype 1a and 3a infections were predominant in injection drug users (42.9% and 37.7%, respectively), whereas community acquired infections and infections in patients with a history of transfusion were caused mainly by subtype 1b (38.5% and 66.6%, respectively). Logistic regression showed that age and injection drug use are independent determinants of genotype distribution.

The hepatitis B virus (HBV) genotypes distribution and the core promoter (CP)/precore (PC) variability were evaluated by a line probe assay in 272 patients infected chronically enrolled consecutively in an area of the North-Eastern Italy. Seven out of the eight genotypes were detected. Italian subjects (83% of the sample) were infected mainly by genotype D (73%) and A (26%); genotype F, and genotype H, were detected only in one subject. In foreigners, the genotype distribution reflected the distribution described for the areas of origin, that is, in Asia genotypes B, C, and D; in Africa genotypes A and E. CP and PC variants prevalence rates were 51% and 60%, respectively, and were significantly higher in Italian patients, probably in relation to their older age. In the analysis restricted to genotypes A and D, PC wild type was linked strongly to genotype A (OR = 4.08, 95% CI = 3.07-5.43, P < 0.0001). In genotype A-infected patients, only e seroconversion was associated significantly with CP variants. In genotype D-infected subjects, CP variants were linked significantly to older age and to a higher e seroconversion rate, while PC variants also showed a strong relationship with an ALT lower activity and a lower viral load. In multivariate analysis, HBeAg positivity was associated strongly and independently with younger age, genotype A and CP wild type. Independent determinants of higher viral loads were recognized by increasing age, in male gender and concomitant presence of HBeAg and the CP wild type virus.

Purpose Monitoring mutation status in circulating free DNA (cfDNA) during target therapy could hold significant clinical importance in non-small cell lung cancer (NSCLC). Our aim is to establish if EGFR mutational status change on cfDNA has predictive value that can impact clinical management of NSCLC patients care. Methods This study included 30 patients with EGFR-mutated NSCLC. Blood samples were collected at diagnosis (T0) and in 19 patients during therapy (T1). Results Concordance between T0 and T1 EGFR mutation status for patients evaluable for both samples (n = 19) was 79%, with a sensitivity of 100% (95% CI: 55.5–100.0) and specificity of 60.0% (95% CI: 26.2–86.8). For the patients in oncological therapy with targeted drug and with T1 sample available (n = 18), survival outcomes were evaluated. For both mutation-negative T0 and T1 patients, 12-month progression-free survival (PFS) was 66.7% (95% CI: 27.2–100.0) and 12-month overall survival (OS) was 100% (95% CI: 1.00–1.00); for patients mutated both at T0 and T1, PFS was 22.2% (95% CI: 6.5–75.4%) and OS was 55.6% (95% CI: 20.4–96.1%). Conclusion EGFR mutation status can be assessed using cfDNA for routine purposes and longitudinal assessment of plasma mutation is an easy approach to monitor the therapeutic response or resistance onset.