Today, the long non-coding RNA MALAT1 is considered to be one of the major RNAs involved in the emergence and metastasizing of various malignant tumours. Recent experiments have shown that MALAT1 plays an important role in the onset and progression of kidney cancer as well. It was found that cancer patient survival depends on the level of MALAT1 gene expression. The aim of the study was to investigate the possible association between rs3200401 MALAT1 gene polymorphism and age of kidney cancer onset among Ukrainian patients. Materials and methods. The venous blood of 101 patients with clear cell renal cell carcinoma (42 women and 59 men) was used for study. Determination of MALAT1 gene rs320040 polymorphism was performed by the Real-Time polymerase chain reaction method using TaqManSNP Assay C_3246069_10 components. Statistical analysis of the data obtained was performed using SPSS (version 17.0). To test the possible association between rs3200401 genotypes and the age of kidney cancer onset Kaplan-Meier and Cox regression techniques were used. P value < 0.05 was considered as statistically significant. Results. The obtained results of MALAT1 gene rs3200401 polymorphic site genotyping revealed that 71 (70.3%) patients with renal cell carcinoma had CC genotype, 29 (28.7%) – CT, 1 (1%) – TT genotype. Survival analysis by Kaplan-Meier method showed that life expectancy until the tumour occurrence was not related to rs3200401 locus (log rank P = 0.449 – for codominant model; log rank P = 0.847 – for dominant model). The results of Cox regression analysis also showed no link between MALAT gene rs3200401-site and risk of renal cell carcinoma development (P > 0.05). No statistically significant results were found after adjustment for sex, body mass index, metastasis, smoking and drinking habits (P > 0.05). Conclusions. The rs3200401 gene polymorphism of long non-coding RNA MALAT1 is not associated with the age of kidney cancer onset in Ukrainian population.
Peer Review #1 of "Integrated analysis of differentially expressed profiles and construction of a competing endogenous long non-coding RNA network in renal cell carcinoma (v0.1)"
