Jeongseon Kim1, Young Ae Cho1, Wook Jin Choi1, Seung Hwa Jeong1. 1. Jeongseon Kim, Young Ae Cho, Wook Jin Choi, Seung Hwa Jeong, Molecular Epidemiology Branch, Division of Cancer Epidemiology and Prevention, Research Institute, National Cancer Center, Goyang-si 410-769, South Korea.
Abstract
AIM: To conduct a systematic review of the published epidemiological studies investigating the association of the interactions between gene variants and dietary intake with gastric cancer risk. METHODS: A literature search was conducted in PubMed, EMBASE, and MEDLINE for articles published between January 2000 and July 2013, and 38 studies were identified. Previous studies included various dietary factors (e.g., fruits and vegetables, soybean products, salt, meat, and alcohol) and genetic variants that are involved in various metabolic pathways. RESULTS: Studies suggest that individuals who carry high-risk genetic variants and demonstrate particular dietary habits may have an increased risk of gastric cancer compared with those who do not carry high-risk genetic variants. Distinctive dietary patterns and variations in the frequency of genetic variants may explain the higher incidence of gastric cancer in a particular region. However, most previous studies have limitations, such as a small sample size and a retrospective case-control design. In addition, past studies have been unable to elucidate the specific mechanism in gene-diet interaction associated with gastric carcinogenesis. CONCLUSION: Additional large prospective epidemiological and experimental studies are required to identify the gene-diet metabolic pathways related to gastric cancer susceptibility.
AIM: To conduct a systematic review of the published epidemiological studies investigating the association of the interactions between gene variants and dietary intake with gastric cancer risk. METHODS: A literature search was conducted in PubMed, EMBASE, and MEDLINE for articles published between January 2000 and July 2013, and 38 studies were identified. Previous studies included various dietary factors (e.g., fruits and vegetables, soybean products, salt, meat, and alcohol) and genetic variants that are involved in various metabolic pathways. RESULTS: Studies suggest that individuals who carry high-risk genetic variants and demonstrate particular dietary habits may have an increased risk of gastric cancer compared with those who do not carry high-risk genetic variants. Distinctive dietary patterns and variations in the frequency of genetic variants may explain the higher incidence of gastric cancer in a particular region. However, most previous studies have limitations, such as a small sample size and a retrospective case-control design. In addition, past studies have been unable to elucidate the specific mechanism in gene-diet interaction associated with gastric carcinogenesis. CONCLUSION: Additional large prospective epidemiological and experimental studies are required to identify the gene-diet metabolic pathways related to gastric cancer susceptibility.
Authors: Eric J Duell; Núria Sala; Noémie Travier; Xavier Muñoz; Marie Christine Boutron-Ruault; Françoise Clavel-Chapelon; Aurelio Barricarte; Larraitz Arriola; Carmen Navarro; Emilio Sánchez-Cantalejo; J Ramón Quirós; Vittorio Krogh; Paolo Vineis; Amalia Mattiello; Rosario Tumino; Kay-Tee Khaw; Nicholas Wareham; Naomi E Allen; Petra H Peeters; Mattijs E Numans; H B Bueno-de-Mesquita; M G H van Oijen; Christina Bamia; Vassiliki Benetou; Dimitrios Trichopoulos; Federico Canzian; Rudolf Kaaks; Heiner Boeing; Manuela M Bergmann; Eiliv Lund; Roy Ehrnström; Dorthe Johansen; Göran Hallmans; Roger Stenling; Anne Tjønneland; Kim Overvad; Jane Nautrup Ostergaard; Pietro Ferrari; Veronika Fedirko; Mazda Jenab; Gabriella Nesi; Elio Riboli; Carlos A González Journal: Carcinogenesis Date: 2011-12-05 Impact factor: 4.944
Authors: Rachael Z Stolzenberg-Solomon; You-Lin Qiao; Christian C Abnet; D Luke Ratnasinghe; Sanford M Dawsey; Zhi Wei Dong; Philip R Taylor; Steven D Mark Journal: Cancer Epidemiol Biomarkers Prev Date: 2003-11 Impact factor: 4.254
Authors: Francesco Gianfagna; Emma De Feo; Cornelia M van Duijn; Gualtiero Ricciardi; Stefania Boccia Journal: Curr Genomics Date: 2008-09 Impact factor: 2.236