BACKGROUND: Hepatocellular carcinoma (HCC) is an intractable public health threat worldwide, representing the second leading cause of cancer-related mortality, with limited early detection and therapeutic options. Recent findings have revealed that the susceptibility of HCC is closely related to microRNA (miRNA). We performed this systematic review with a network meta-analysis to investigated four single nucleotide polymorphisms (SNPs) that most regularly reported in miRNAs, exploring their involvement in HCC susceptibility and interaction with hepatitis B virus (HBV). METHODS: Databases were reviewed for related studies published up to May 2019 to identify all studies that compared genotypes of miR-146a rs2910164, miR-149 rs2292832, miR-196a2 rs11614913, and miR-499 rs3746444 with no language and date restrictions. A pairwise meta-analysis was performed to estimate pooled odds ratios and 95% confidence intervals incorporating heterogeneity to assess the relationship between four miRNA polymorphisms and HCC. To further clarify the effect of polymorphisms on HCC, a Bayesian network meta-analysis was conducted to combine the effective sizes of direct and indirect comparisons. Calculations were performed by R version 3.6.1 and STATA 14.0. All steps were performed according to PRISMA guidelines. RESULTS: A total of 20 studies were enrolled in this network meta-analysis, providing 5,337 hepatocellular carcinoma cases and 6,585 controls. All included studies had an acceptable quality. Pairwise meta-analysis demonstrated that miR-196a2 rs11614913 was significantly associated with the susceptibility of HCC, while the other three SNPs were not found to have a significant association. In the analysis of HCC patients under different HBV infection status, only miR-196a2 revealed correlation of threefold risk. The network results showed no significant difference in the distribution of genotype frequencies except for miR-196a2, which appeared to have the highest superiority index when comparing and ranking four SNPs. CONCLUSION: MiR-196a2 rs11614913 was significantly associated with the susceptibility of HCC, especially for HBV- related HCC, and that individuals with TC/CC were more susceptible. No significant association was found in the other three miRNA genes. MiR-196a2 could serve as the best predictor of susceptibility in HCC.
BACKGROUND: Hepatocellular carcinoma (HCC) is an intractable public health threat worldwide, representing the second leading cause of cancer-related mortality, with limited early detection and therapeutic options. Recent findings have revealed that the susceptibility of HCC is closely related to microRNA (miRNA). We performed this systematic review with a network meta-analysis to investigated four single nucleotide polymorphisms (SNPs) that most regularly reported in miRNAs, exploring their involvement in HCC susceptibility and interaction with hepatitis B virus (HBV). METHODS: Databases were reviewed for related studies published up to May 2019 to identify all studies that compared genotypes of miR-146a rs2910164, miR-149 rs2292832, miR-196a2 rs11614913, and miR-499 rs3746444 with no language and date restrictions. A pairwise meta-analysis was performed to estimate pooled odds ratios and 95% confidence intervals incorporating heterogeneity to assess the relationship between four miRNA polymorphisms and HCC. To further clarify the effect of polymorphisms on HCC, a Bayesian network meta-analysis was conducted to combine the effective sizes of direct and indirect comparisons. Calculations were performed by R version 3.6.1 and STATA 14.0. All steps were performed according to PRISMA guidelines. RESULTS: A total of 20 studies were enrolled in this network meta-analysis, providing 5,337 hepatocellular carcinoma cases and 6,585 controls. All included studies had an acceptable quality. Pairwise meta-analysis demonstrated that miR-196a2 rs11614913 was significantly associated with the susceptibility of HCC, while the other three SNPs were not found to have a significant association. In the analysis of HCC patients under different HBV infection status, only miR-196a2 revealed correlation of threefold risk. The network results showed no significant difference in the distribution of genotype frequencies except for miR-196a2, which appeared to have the highest superiority index when comparing and ranking four SNPs. CONCLUSION: MiR-196a2 rs11614913 was significantly associated with the susceptibility of HCC, especially for HBV- related HCC, and that individuals with TC/CC were more susceptible. No significant association was found in the other three miRNA genes. MiR-196a2 could serve as the best predictor of susceptibility in HCC.
Authors: Sebastian E Baumeister; Sabrina Schlesinger; Krasimira Aleksandrova; Carmen Jochem; Mazda Jenab; Marc J Gunter; Kim Overvad; Anne Tjønneland; Marie-Christine Boutron-Ruault; Franck Carbonnel; Agnès Fournier; Tilman Kühn; Rudolf Kaaks; Tobias Pischon; Heiner Boeing; Antonia Trichopoulou; Christina Bamia; Carlo La Vecchia; Giovanna Masala; Salvatore Panico; Francesca Fasanelli; Rosario Tumino; Sara Grioni; Bas Bueno de Mesquita; Roel Vermeulen; Anne M May; Kristin B Borch; Sunday O Oyeyemi; Eva Ardanaz; Miguel Rodríguez-Barranco; María Dolores Chirlaque López; Mireia Felez-Nobrega; Emily Sonestedt; Bodil Ohlsson; Oskar Hemmingsson; Mårten Werner; Aurora Perez-Cornago; Pietro Ferrari; Magdalena Stepien; Heinz Freisling; Konstantinos K Tsilidis; Heather Ward; Elio Riboli; Elisabete Weiderpass; Michael F Leitzmann Journal: J Hepatol Date: 2018-12-22 Impact factor: 25.083
Authors: Tomi Akinyemiju; Semaw Abera; Muktar Ahmed; Noore Alam; Mulubirhan Assefa Alemayohu; Christine Allen; Rajaa Al-Raddadi; Nelson Alvis-Guzman; Yaw Amoako; Al Artaman; Tadesse Awoke Ayele; Aleksandra Barac; Isabela Bensenor; Adugnaw Berhane; Zulfiqar Bhutta; Jacqueline Castillo-Rivas; Abdulaal Chitheer; Jee-Young Choi; Benjamin Cowie; Lalit Dandona; Rakhi Dandona; Subhojit Dey; Daniel Dicker; Huyen Phuc; Donatus U. Ekwueme; Maysaa El Sayed Zaki; Florian Fischer; Thomas Fürst; Jamie Hancock; Simon I. Hay; Peter Hotez; Sun Ha Jee; Amir Kasaeian; Yousef Khader; Young-Ho Khang; Anil Kumar; Michael Kutz; Heidi Larson; Alan Lopez; Raimundas Lunevicius; Reza Malekzadeh; Colm McAlinden; Toni Meier; Walter Mendoza; Ali Mokdad; Maziar Moradi-Lakeh; Gabriele Nagel; Quyen Nguyen; Grant Nguyen; Felix Ogbo; George Patton; David M. Pereira; Farshad Pourmalek; Mostafa Qorbani; Amir Radfar; Gholamreza Roshandel; Joshua A Salomon; Juan Sanabria; Benn Sartorius; Maheswar Satpathy; Monika Sawhney; Sadaf Sepanlou; Katya Shackelford; Hirbo Shore; Jiandong Sun; Desalegn Tadese Mengistu; Roman Topór-Mądry; Bach Tran; Vasiliy Vlassov; Stein Emil Vollset; Theo Vos; Tolassa Wakayo; Elisabete Weiderpass; Andrea Werdecker; Naohiro Yonemoto; Mustafa Younis; Chuanhua Yu; Zoubida Zaidi; Liguo Zhu; Christopher J. L. Murray; Mohsen Naghavi; Christina Fitzmaurice Journal: JAMA Oncol Date: 2017-12-01 Impact factor: 31.777
Authors: Ahmed Amin Ibrahim; Mohamed Abdel-Fattah El-Feki; Mohamed Gamal; Noha A Doudar; Heba Marey; Wael M Abd El Ghany; Nilly Helmy Abdalla Journal: Asian Pac J Cancer Prev Date: 2022-04-01