BACKGROUND MicroRNAs (miRNAs) are RNA molecules that are involved in the regulation of many cellular processes, including those related to human cancers. The aim of this study was to determine, as a proof of principle, whether specific candidate miRNAs could be detected in fine-needle aspirate (FNA) biopsies of pancreatic ductal adenocarcinoma (PDAC) and could accurately differentiate malignant from benign pancreatic tissues. METHODS We used TaqMan® assays to quantify miRNA levels in FNA samples collected in RNARetain (n = 16) and compared the results with a training set consisting of frozen macrodissected pancreatic samples (n = 20). RESULTS Quantitative reverse-transcription PCR analysis confirmed that miRNA levels are affected in PDAC FNAs and correlate well with the changes observed in the training set of frozen pancreatic samples. Analysis of the amounts produced for a few specific miRNAs enabled identification of PDAC samples. The combination of miR-196a and miR-217 biomarkers further improved the ability to distinguish between healthy tissue, PDAC, and chronic pancreatitis in the training set (P = 8.2 × 10−10), as well as segregate PDAC FNA samples from other FNA samples (P = 1.1 × 10−5). Furthermore, we showed that miR-196a production is likely specific to PDAC cells and that its incidence paralleled the progression of PDAC. CONCLUSIONS To the best of our knowledge, this study is the first to evaluate the diagnostic potential of miRNAs in a clinical setting and has shown that miRNA analysis of pancreatic FNA biopsy samples can aid in the pathologic evaluation of suspicious cases and may provide a new strategy for improving the diagnosis of pancreatic diseases.

Histopathology archives of well-annotated formalin-fixed, paraffin-embedded (FFPE) tissue specimens are valuable resources for retrospective studies of human diseases. Since recovery of quality intact mRNA compatible with molecular techniques is often difficult due to degradation, we evaluated microRNA (miRNA), a novel class of small RNA molecules with growing therapeutic and diagnostic potential, as an alternative analyte for gene expression studies of FFPE samples. Analyzing total RNA yield, miRNA recovery, and robustness of real-time polymerase chain reaction for miRNA, mRNA, and rRNA species, we compared the performance of commercially available RNA isolation kits and identified a preferred methodology. We further implemented modifications to increase tissue throughput and incorporate a quantitative Armored RNA process control to monitor RNA recovery efficiency. The optimized process was tested for reproducibility as well as interoperator and interday variability, and was validated with a set of 30 clinical samples. In addition, we demonstrated that, independent of FFPE block age and RNA quality, miRNAs generate quantitative reverse transcription-polymerase chain reaction signals that are more robust and better correlate with expression levels from frozen reference samples compared with longer mRNAs. Our broad study, including a total of 272 independent RNA isolations from 17 tissue types and 65 FFPE blocks up to 12 years old, indicates that miRNAs are not only suitable but are also likely superior analytes for the molecular characterization of compromised archived clinical specimens.

Formalin-fixed, paraffin-embedded tissues are an invaluable tool for biomarker discovery and validation. As these archived specimens are not always compatible with modern genomic techniques such as gene expression arrays, we assessed the use of microRNA (miRNA) as an alternative means for the reliable molecular characterization of formalin-fixed, paraffin-embedded tissues. Expression profiling using two different microarray platforms and multiple mouse and human formalinfixed, paraffin-embedded tissue types resulted in the correlation ratios of miRNA expression levels between frozen and fixed tissue pairs ranging from 0.82 to 0.99, depending on the cellular heterogeneity of the tissue type. The same miRNAs were identified as differentially expressed between tissues using both fixed and frozen specimens. While formalin fixation time had only marginal effects on microarray performance, extended storage times for tissue blocks (up to 11 years) resulted in a gradual loss of detection of miRNAs expressed at low levels. Method reproducibility and accuracy were also evaluated in two different tissues stored for different lengths of time. The technical variation between full process replicates, including independent RNA isolation methods, was approximately 5%, and the correlation of expression levels between microarray and real-time quantitative reverse transcriptase polymerase chain reaction was 0.98. Together, these data demonstrate that miRNA expression profiling is an accurate and robust method for the molecular analysis of archived clinical specimens, potentially extending the use of miRNAs as new diagnostic, prognostic, and treatment response biomarkers. (J Mol Diagn

Reliable prediction of recurrence in stage II colorectal cancer (CRC) patients is a major unresolved clinical need as recurrence is often the ultimate cause of death in these individuals. Several mRNA and DNA prognostic markers have been evaluated and, to date, none have been recommended by oncology groups due to poor specificity and sensitivity. MicroRNA (miRNA) have been shown to regulate fundamental cellular processes and have been implicated in several cancer types, including CRC. We used a microarray platform to examine the expression of more than 600 miRNAs in tumors from stage II patients with or without recurrence. Using an exploratory sample set of 12 tumors (6 nonrecurrent and 6 recurrent), we identified several miRNAs that were significantly deregulated in tumors from recurrent patients compared to non-recurrent patients. We used RT-qPCR to interrogate the differentially expressed miRNAs on the original 12 samples plus an additional set of 39 stage II CRC tumors that were not used in the initial miRNA discovery process. Using cross-validation, we derived a miRNA-based classifier that was strongly associated with recurrence (hazard ratio (HR), 3.83; p=0.005). We further evaluated associations of MSI status and mutations in KRAS, BRAF and PIK3CA genes with recurrence (n=39). Multivariate Cox analysis revealed that only the miRNA classifier was significantly associated with recurrence (HR 3.08; p=0.03). Interestingly, the combination of the miRNA classifier and mutant KRAS status was highly predictive of recurrence (p<0.0001). These data provide strong support for miRNAs as prognostic biomarkers for stage II CRC and warrant further validation. Citation Information: Clin Cancer Res 2010;16(14 Suppl):A31.

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