Journal of Cancer Research and Therapeutics

ORIGINAL ARTICLE
Year
: 2016  |  Volume : 12  |  Issue : 2  |  Page : 699--704

rs61764370 polymorphism of Kras and risk of cancer in Caucasian population: A meta-analysis


Shi-Yan Zhang, Jing Shi 
 Department of Clinical Laboratory, Affiliated Fuding Hospital, Fujian University of Traditional Medicine, Fuding, Fujian, China

Correspondence Address:
Shi-Yan Zhang
Department of Clinical Laboratory, Fuding Hospital, Fujian University of Traditional Medicine, 120 South Road of Old City, Fuding
China

Background: Kras is an important oncogene that plays a pivotal role in carcinogenesis. Rs61764370 polymorphism in Kras 3'-untranslated region is a candidate factor for contributing susceptibility to cancer. However, the results of emerging studies concerning association between rs61764370 and cancer risk remain elusive. Materials and Methods: The association between rs61764370 and risk of cancer was evaluated in 30 studies including 14936. cases and 15168 controls. Results: Meta-analysis result showed that genotype. GT/GG of rs61764370 was not associated with cancer in Caucasian population. After stratifying the overall population into cancer type subgroups, no significant association was observed between genotype. GT/GG and ovarian, breast, colorectal, non.-small cell lung cancer or head-neck carcinoma in Caucasian population, respectively. Conclusion: These results indicated that genotype. GT/GG of rs61764370 was not a genetic susceptible risk factor for cancer, and rs61764370 could not be used as a biomarker for estimating cancer risk in Caucasian population.


How to cite this article:
Zhang SY, Shi J. rs61764370 polymorphism of Kras and risk of cancer in Caucasian population: A meta-analysis.J Can Res Ther 2016;12:699-704


How to cite this URL:
Zhang SY, Shi J. rs61764370 polymorphism of Kras and risk of cancer in Caucasian population: A meta-analysis. J Can Res Ther [serial online] 2016 [cited 2020 Aug 4 ];12:699-704
Available from: http://www.cancerjournal.net/article.asp?issn=0973-1482;year=2016;volume=12;issue=2;spage=699;epage=704;aulast=Zhang;type=0