期刊
INTERNATIONAL JOURNAL OF BIOLOGICAL MARKERS
卷 36, 期 2, 页码 50-56出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/1724600821997461
关键词
microRNA; Markers; single nucleotide polymorphisms; prostate cancer; disease sites; prognostic; predictive markers; molecular biology; base sequence
资金
- Sao Paulo Research Foundation (FAPESP) [2015/23248-3]
This study evaluated the role of SNP rs1834306 of miR100 and rs2910164 of miR146a in the development and prognosis of prostate cancer, finding that the SNP of miR146a acts as a poor prognostic factor, while the SNP of miR100 is linked to better prognostic data. MiR100 was overexpressed in prostate cancer with worse prognostic factors.
Introduction: Prostate cancer has a high incidence in men and is the second cause of cancer death among americans male. microRNA (miR) is becoming a potential new prognostic factor for prostate cancer. Single nucleotide polymorphisms (SNPs) are common polymorphisms, characterized by a single exchange of nitrogen based in the DNA. This polymorphism is present in the miRs, altering their function. Objective: To evaluate the role of SNP rs1834306 of miR100 and rs2910164 of miR146a in the development and prognosis of prostate cancer. Methods: One hundred patients diagnosed with prostate cancer and 68 controls were selected. The identification of SNP was rated by quantitative polymerase chain reaction from blood samples, and the analysis was performed within the presence of SNP and the prognostic variables. Results: In the SNP rs1834306 (miR100), a smaller presence of the polymorphic homozygous genotype was identified in patients with PSA >10 ng/mL, (P=0.03); when evaluating only the presence of the polymorphic allele G (P=0.09) it was compared to the presence of the wild type allele A. Among the patients with prostate cancer, SNP rs2910164 (miR146A), the polymorphic allele was more frequent in patients with a Gleason score > 7 than in patients with a Gleason score <7, (P=0.043). In patients with prostate cancer, miR100 was overexpressed in those with pT3 staging compared to pT2 and among those who had biochemical recurrence (P = 0.004 and P = 0.011, respectively). Conclusions: SNP of miR146a acts as a poor prognostic factor (Gleason > 7), and the SNP of miR100 is linked to better prognostic data (PSA <10). MiR100 was overexpressed in prostate cancer with worse prognostic factors.
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