Bioinformatics and meta-analysis of the clinical significance of RECK expression and its genetic polymorphisms in cancer

Abstract

RECK plays an important role in the development of cancer. The current study focuses on exploring the clinical significance of RECK expression in cancer by mining public data and also evaluating the relationship between genetic polymorphisms of the RECK gene and cancer risk through meta-analysis. The results showed that RECK expression was not only associated with survival prognosis and immune infiltration in many types of cancers, but also with multiple drug sensitivity in pan-cancer. In addition, the RECK rs10814325 polymorphism was also associated with cancer risk under the homozygote comparison model (CC vs. TT: OR = 1.64, 95%CI = 1.03–2.61, p = 0.04) and the recessive genetic model [CC vs. (CT + TT): OR = 1.55, 95%CI = 1.27–1.89, p < 0.01]. In conclusion, these findings suggest that RECK expression levels may serve as a valuable indicator for assessing cancer prognosis in some cancers as well as drug sensitivity in pan-cancer, and its rs10814325 polymorphism may be used to assess cancer risk.