Chronic hepatitis C virus infection in India: Regional demographics and distribution of viral genotypes.

BACKGROUND AND AIMS: Although chronic hepatitis C virus (HCV) infection affects millions of people in India, few studies have assessed host, viral, and disease characteristics of chronically infected patients at national and regional levels. Such information is critical to support large scale screening and treatment initiatives for chronic HCV infection in India. METHODS: Patients with known chronic HCV infection making routine or for-cause visits to the participating study centers were enrolled in this observational study. Patients attended a single outpatient visit during which demographics and medical history were collected, a physical examination was performed, and blood and urine samples were collected for laboratory assessments. Samples were analyzed to determine HCV genotypes and subtypes, and genotypes of interferon lambda 3 (IFNL3) single nucleotide polymorphism. No therapeutic interventions were administered. RESULTS: We enrolled 500 patients at 19 centers, categorized into four geographic regions (North, South, East, and West). All patients self-identified as Indian, and most (66 %) were male. Genotype 3 was the most common genotype overall (54 %); however, its prevalence varied greatly by region, ranging from 34 % in the South to 69 % in the East. Genotypes 1 (24 %) and 4 (6 %) were the next most common, and HCV genotype could not be determined for 16 % of patients. CONCLUSIONS: This prospective survey suggests that demographics, viral, and host factors in patients with chronic HCV infection are highly variable in India and pose significant challenges for the implementation of broad-scale screening and treatment initiatives.

Comparative analysis of copy number variations in ulcerative colitis associated and sporadic colorectal neoplasia.

BACKGROUND: The incidence of and mortality from colorectal cancers (CRC) can be reduced by early detection. Currently there is a lack of established markers to detect early neoplastic changes. We aimed to identify the copy number variations (CNVs) and the associated genes which could be potential markers for the detection of neoplasia in both ulcerative colitis-associated neoplasia (UC-CRN) and sporadic colorectal neoplasia (S-CRN). METHODS: We employed array comparative genome hybridization (aCGH) to identify CNVs in tissue samples of UC nonprogressor, progressor and sporadic CRC. Select genes within these CNV regions as a panel of markers were validated using quantitative real time PCR (qRT-PCR) method along with the microsatellite instability (MSI) in an independent cohort of samples. Immunohistochemistry (IHC) analysis was also performed. RESULTS: Integrated analysis showed 10 overlapping CNV regions between UC-Progressor and S-CRN, with the 8q and 12p regions showing greater overlap. The qRT-PCR based panel of MYC, MYCN, CCND1, CCND2, EGFR and FNDC3A was successful in detecting neoplasia with an overall accuracy of 54% in S-CRN compared to that of 29% in UC neoplastic samples. IHC study showed that p53 and CCND1 were significantly overexpressed with an increasing frequency from pre-neoplastic to neoplastic stages. EGFR and AMACR were expressed only in the neoplastic conditions. CONCLUSION: CNVs that are common and unique to both UC-associated and sporadic colorectal neoplasm could be the key players driving carcinogenesis. Comparative analysis of CNVs provides testable driver aberrations but needs further evaluation in larger cohorts of samples. These markers may help in developing more effective neoplasia-detection strategies during screening and surveillance programs.