Expression Analysis of miRNAs and Their Potential Role as Biomarkers for Prostate Cancer Detection.

Prostate cancer (PCa) is the second most frequent cancer diagnosed in men worldwide. The detection methods for PCa are either unreliable, like prostate-specific antigen (PSA), or extremely invasive, such as in the case of biopsies. Therefore, there is an urgent necessity for reliable and less invasive detection procedures that can differentiate between patients with benign diseases and those with cancer. In this matter, microRNAs (miRNAs) are suggested as potential biomarkers for cancer. MiRNAs have been found to be dysregulated in several different cancers, and these genetic alterations may present specific signatures for a given malignancy. Here, we examined the expression of miR141-3p, miR145-5p, miR146a-5p, and miR148b-3p in human tissue samples of PCa (n = 41) and benign prostatic diseases (BPD) (n = 30) using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). We combined the expression results with patient clinicopathological characteristics in logistic regression models to create accurate PCa predictive models. A model including information of miR148b-3p and patient age showed relevant prediction results (area under the curve [AUC] = 0.818, precision = 0.763, specificity = 0.762, and accuracy = 0.762). A model including all four miRNAs and patient age presented outstanding prediction results (AUC = 0.918, precision = 0.861, specificity = 0.861, and accuracy = 0.857). Our results represent a potential novel procedure based on logistic regression models that utilize miRNA expressions and patient age to assist with PCa diagnosis.

Promoter polymorphisms of the PCA3 gene are not associated with its overexpression in prostate cancer patients.

In male, the prostate cancer (PCa) is one of the most frequent neoplasias and the second cause of cancer deaths worldwide. In 2015, more than 6000 men died in Mexico due to this disease. In this regard, prostate cancer associated gene 3 (PCA3) has become an interesting target in PCa as is found highly overexpressed. Moreover, TAAA tandem repeats have been suggested to be associated with the regulation of PCA3 expression and, in turn, to be related with the development of the disease. The aim of the study was to understand thegenetic basis of the disease in search for a better diagnosis. Expression levels of PCA3 gene were analysed in tissue of 13 patients diagnosed with PCa and six patients diagnosed with a benign prostatic disease (BPD). The absolute expression of PCA3 was quantified by real-time PCR. Genotype for TAAA tandem repeats was measured using automatic sequencing and the results were analysed to determine whether an association existed between them. We identified three alleles: 4, 5, 6 and four genotypes: 4/5, 5/5, 5/6, 6/6. Our analysis identified amutation in the nucleotide 76764237 of the PCA3 gene that generates an extra TAAA tandem repeat. The nucleotide mutation is present in 61.53% of PCa and 66.66% of BPD patients. Our study revealed the presence of a mutation in the PCA3 gene that generates an extra TAAA tandem. We observed no association between the absolute expression of PCA3 messenger and the number of TAAA repetitions.