Payel Chakraborty1, Souvik Ghatak1, Saia Chenkual2, Lalawmpuii Pachuau3, John Zohmingthanga3, Zothankima Bawihtlung4, Lalfakzuala Khenglawt4, Jeremy L Pautu5, Arindam Maitra6, Lalchhandama Chhakchhuak3, Nachimuthu Senthil Kumar7. 1. Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India. 2. Department of Surgery, Civil Hospital Aizawl, Aizawl, Mizoram, 796001, India. 3. Department of Pathology, Civil Hospital Aizawl, Aizawl, Mizoram, 796001, India. 4. Department of Radiation Oncology, Mizoram State Cancer Institute, Zemabawk, Aizawl, Mizoram, 796017, India. 5. Department of Oncology, Mizoram State Cancer Institute, Zemabawk, Aizawl, Mizoram, 796017, India. 6. National Institute of Biomedical Genomics, P.O. NSS, District Nadia, Kalyani, West Bengal, 741251, India. 7. Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796004, India. nskmzu@gmail.com.
Abstract
BACKGROUND: There are very few studies covering the epidemiological risk factors associated with Epstein Barr Virus (EBV) and Microsatellite stability for Gastric Cancer (GC) cases. Early diagnosis of GC through epidemiological risk factors is very necessary for the clinical assessment of GC. The aim of this study was to find out the major risk factors to predict GC in early stage and the impact of pathogen infection and MSI on survival rate of patients. GC samples were screened for Helicobacter pylori, Epstein Barr Virus, and Mismatch repair (MMR) gene status (microsatellite stable or instable). Chi-square and logistic regression analysis of Odd ratio and 95% confidence interval (OR, 95% CI) were performed to find out the association between epidemiological factors and the risk of gastric cancer. The pathogen and MMR gene status were analysed to predict their effect on overall survival and the risk score and hazard ratio was calculated for prognostic assessment. RESULTS: Excess body weight, consumption of extra salt, smoked food, alcohol, and smoking were the major risk factors for GC development. This study achieved a high area under the curve (AUC 0.94) for the probable GC patients in early-stage using the five-panel epidemiological risk factors. H. pylori infected cases were significant with smoked food, while EBV was found to be associated with tuibur intake and smoked food. In overall survival analysis EBV infected and microsatellite stable (HR: 1.32 and 1.34 respectively) GC cases were showing poor prognosis. CONCLUSION: This study might provide new opportunities for personalized treatment options using this epidemiological factor risk score and clinicopathological factors assessment for early detection and prognosis in high-risk GC populations.
BACKGROUND: There are very few studies covering the epidemiological risk factors associated with Epstein Barr Virus (EBV) and Microsatellite stability for Gastric Cancer (GC) cases. Early diagnosis of GC through epidemiological risk factors is very necessary for the clinical assessment of GC. The aim of this study was to find out the major risk factors to predict GC in early stage and the impact of pathogen infection and MSI on survival rate of patients. GC samples were screened for Helicobacter pylori, Epstein Barr Virus, and Mismatch repair (MMR) gene status (microsatellite stable or instable). Chi-square and logistic regression analysis of Odd ratio and 95% confidence interval (OR, 95% CI) were performed to find out the association between epidemiological factors and the risk of gastric cancer. The pathogen and MMR gene status were analysed to predict their effect on overall survival and the risk score and hazard ratio was calculated for prognostic assessment. RESULTS: Excess body weight, consumption of extra salt, smoked food, alcohol, and smoking were the major risk factors for GC development. This study achieved a high area under the curve (AUC 0.94) for the probable GC patients in early-stage using the five-panel epidemiological risk factors. H. pyloriinfected cases were significant with smoked food, while EBV was found to be associated with tuibur intake and smoked food. In overall survival analysis EBVinfected and microsatellite stable (HR: 1.32 and 1.34 respectively) GC cases were showing poor prognosis. CONCLUSION: This study might provide new opportunities for personalized treatment options using this epidemiological factor risk score and clinicopathological factors assessment for early detection and prognosis in high-risk GC populations.
Authors: Stefania Beghelli; Giovanni de Manzoni; Stefano Barbi; Anna Tomezzoli; Franco Roviello; Carmela Di Gregorio; Carla Vindigni; Laura Bortesi; Alice Parisi; Luca Saragoni; Aldo Scarpa; Patrick S Moore Journal: Surgery Date: 2006-03 Impact factor: 3.982
Authors: Robert Sitarz; Małgorzata Skierucha; Jerzy Mielko; G Johan A Offerhaus; Ryszard Maciejewski; Wojciech P Polkowski Journal: Cancer Manag Res Date: 2018-02-07 Impact factor: 3.989