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Cancer of the prostate gland is a commonly diagnosed male malignancy that is one of the leading causes of cancer related mortality among men. In US, an estimated 220,800 new cases and 27,540 deaths will be reported in 20151.
Prostate cancer is a heterogeneous disease with highly variable disease course- tumors can be indolent or very aggressive. A critical challenge in prostate cancer clinical management is posed by the inadequacy of currently used methods/biomarkers for disease screening, diagnosis, prognosis and treatment2. Current screening methods include prostate specific antigen (PSA) testing and a digital rectal examination (DRE) followed by prostate biopsies3. Prostate specific antigen (PSA) is the most widely used prostate cancer biomarker that has significantly revolutionized clinical management and improved survival rates4. However, due to inherent limitations of PSA including lack of specificity, PSA-based screening has led to over diagnosis and over treatment of the disease. In view of this, intensive efforts are being directed towards a search for alternate prostate cancer biomarkers, particularly those which can predict the aggressiveness of the disease and drive better treatment decisions4,5. Over the last few years, microRNAs (miRNAs) have emerged as promising alternate prostate cancer biomarkers.
MicroRNAs (miRNAs) constitute an evolutionarily conserved class of small non-coding RNAs that suppress gene expression post-transcriptionally via sequence-specific interactions with the 3’- untranslated regions (UTRs) of cognate mRNA targets. It is estimated that >60% of mRNAs are conserved targets of miRNAs6. miRNA genes are located in intergenic regions or within introns or exons of protein/non-protein coding genes7. These genes are preferentially transcribed by RNA Polymerase II into primary miRNAs (pri-miRNAs, several kilobases long) that form hairpin shaped stem loop secondary structures. These pri-miRNAs are processed into precursor miRNAs (pre-miRNAs, 60-75 nucleotide long) that are exported to the cytoplasm and further processed into mature miRNAs (18-25 nucleotide long)8-10. miRNAs regulate key cellular processes including proliferation, development, differentiation and apoptosis11. Studies suggest a widespread dysregulation of miRNA expression profiles in various human malignancies including prostate cancer12-15. miRNA expression profiles have been reported to be widely dysregulated in primary and metastatic prostate cancer. Altered miRNA expression have been linked with prostate cancer progression, aggressiveness and recurrence highlighting the prognostic potential of miRNAs12,14,16-19. A growing body of evidence indicates that miRNAs play important mechanistic roles in prostate cancer initiation, development, progression and metastasis. Overall, miRNAs are emerging as promising alternate biomarkers for prostate cancer diagnosis and prognosis that can distinguish between normal and cancer tissues and aid in stratification of prostate tumors12. Also, miRNAs are important targets for development of effective therapeutics against prostate cancer20.
Owing to their small size and resistance to endogenous RNase activity, miRNAs are stable biomarkers that can be readily detected in formalin-fixed tissues21 and in prostate biopsies22. Moreover, the expression profiles of miRNAs have been compared in frozen and formalin fixed tissues and have been found to be strongly correlated21. However, miRNA expression profiling in prostate cancer clinical tissues is often challenging owing to tumor heterogeneity, sampling errors, stromal contamination etc. The development of miRNAs as effective biomarkers for prostate cancer heavily relies on their accurate detection in clinical tissues. Here we describe a simplified workflow used in our lab for miRNA expression profiling in archived FFPE or fresh frozen prostate cancer clinical specimens. We employ a combination of quantitative real-time PCR and in situ hybridization for miRNA analyses of clinical specimens, with the former yielding more quantitative information and the latter for visualizing the differential expression of potential miRNA biomarkers in an array of tissues. Within this workflow, we optimize the existing methodologies for miRNA extraction from FFPE and frozen prostate tissues, expression analyses by Taqman-probe based miRNA RT-PCR and miRNA in situ hybridization technique using locked nucleic acid (LNA)-based probes23. LNA-based probes offer increased sensitivity and specificity compared to DNA- or RNA- based probes and enables robust detection of all miRNA sequences, regardless of their GC content and also allow discrimination of miRNA families. Our optimized miRNA ISH protocol can be applied to prostate cancer tissue slides or prostate cancer tissue microarrays (TMA), with the latter offering the potential to accelerate miRNA biomarker discovery.