CHRIST: CD44-Incorporated Hepatocellular Carcinoma Risk Index Scoring Tool-A Novel Prognostic Scoring System for Hepatocellular Carcinoma Development and Aggressiveness.

CD44 has been demonstrated to play a pivotal role in regulating tumor cell progression, including hepatocellular carcinoma (HCC) development. Here, we aimed to establish a scoring system to evaluate the risk of developing HCC utilizing CD44-rs187115 SNP polymorphism. A prospective cohort of 120 individuals was enrolled in four groups: 19 non-metastatic HCC patients, 21 metastatic, 40 patients with hepatitis C-related cirrhosis, and 40 controls. Allelic discrimination of the CD44-rs187115 gene polymorphism was assessed using TaqMan genotyping assay. HCC patients with CT/CC genotypes were more likely to have aggressive malignancy compared to TT carriers. A significant correlation was noted between the existence of CT/CC genotypes and tumor size, multicentricity, infiltration, portal vein thrombosis, and metastasis. A CD44-incorporated Hepatocellular Carcinoma Risk Index Scoring Tool (CHRIST) was formulated utilizing clinical and genetic variables. A score > 3 for HCC development demonstrated 87.5% sensitivity, 72.5% specificity, and a 76% positive predictive value (PPV) and 85% negative predictive value (NPV). Furthermore, a score > 5 for HCC metastasis demonstrated 90.4% sensitivity, 68.4% specificity, a 76% PPV and 86% NPV. A similarly significant score was noted following a six-month re-evaluation. We conclude that CD44-rs187115 may serve as a reliable prognostic biomarker for HCC and that the CHRIST prognostic model is highly predictive of the development of HCC and metastatic HCC.

Prevalence of current patterns and predictive trends of multidrug-resistant Salmonella Typhi in Sudan.

BACKGROUND: Enteric fever has persistence of great impact in Sudanese public health especially during rainy season when the causative agent Salmonella enterica serovar Typhi possesses pan endemic patterns in most regions of Sudan - Khartoum. OBJECTIVES: The present study aims to assess the recent state of antibiotics susceptibility of Salmonella Typhi with special concern to multidrug resistance strains and predict the emergence of new resistant patterns and outbreaks. METHODS: Salmonella Typhi strains were isolated and identified according to the guidelines of the International Standardization Organization and the World Health Organization. The antibiotics susceptibilities were tested using the recommendations of the Clinical Laboratories Standards Institute. Predictions of emerging resistant bacteria patterns and outbreaks in Sudan were done using logistic regression, forecasting linear equations and in silico simulations models. RESULTS: A total of 124 antibiotics resistant Salmonella Typhi strains categorized in 12 average groups were isolated, different patterns of resistance statistically calculated by (y = ax - b). Minimum bactericidal concentration's predication of resistance was given the exponential trend (y = n ex) and the predictive coefficient R2 > 0 < 1 are approximately alike. It was assumed that resistant bacteria occurred with a constant rate of antibiotic doses during the whole experimental period. Thus, the number of sensitive bacteria decreases at the same rate as resistant occur following term to the modified predictive model which solved computationally. CONCLUSION: This study assesses the prediction of multi-drug resistance among S. Typhi isolates by applying low cost materials and simple statistical methods suitable for the most frequently used antibiotics as typhoid empirical therapy. Therefore, bacterial surveillance systems should be implemented to present data on the aetiology and current antimicrobial drug resistance patterns of community-acquired agents causing outbreaks.

Serum IGFBP-3 is a more effective predictor than IGF-1 and IGF-2 for the development of hepatocellular carcinoma in patients with chronic HCV infection.

Hepatocellular carcinoma (HCC) contributes to 14.8% of all cancer mortality in Egypt, which has a high prevalence of hepatitis C virus (HCV). We have previously shown alterations in the insulin-like growth factor-1 (IGF-1) receptor signalling pathway during experimental hepatocarcinogenesis. The aim of this study was to determine whether serum levels of IGF-1, IGF-2 and IGFBP-3 can be used to discriminate between HCC and the stages of hepatic dysfunction in patients with liver cirrhosis assessed by the Child-Pugh (CP) score, and to correlate these levels with HCC stages. We recruited 241 subjects to the present study; 79 with liver cirrhosis, 62 with HCV-induced HCC and 100 age-matched controls. Results showed that serum levels of IGF-1, IGF-2 and IGFBP-3 were reduced significantly in cirrhosis and HCC patients in comparison to the controls, and that this reduction negatively correlated with the CP scores. However, only IGFBP-3 levels showed significant negative correlation with α-fetoprotein levels. The reduction in IGF-1 and IGFBP-3 but not IGF-2 levels was significant in HCC in comparison to patients with cirrhosis. None of the parameters significantly correlated with the HCC stage. IGFBP-3 levels discriminated between cirrhosis and HCC at a sensitivity of 87%, a specificity of 80% and a cut-off value of <682.6 ng/ml. In conclusion, although our results showed that serum IGF-1, IGF-2 and IGFBP-3 are reduced with the progression of hepatic dysfunction, only IGFBP-3 may be considered as the most promising serological marker for the prediction of the development of HCC in the chronic HCV patients with liver cirrhosis.