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Biomarkers accurately distinguish mesothelioma from non-cancerous tissue
Date:6/5/2014

Philadelphia, PA, June 6, 2014 Scientists have identified four biomarkers that may help resolve the difficult differential diagnosis between malignant pleural mesothelioma (MPM) and non-cancerous pleural tissue with reactive mesothelial proliferations (RMPs). This is a frequent differential diagnostic problem in pleural biopsy samples taken from patients with clinical suspicion of MPM. The ability to make more accurate diagnoses earlier may facilitate improved patient outcomes. This new study appears in the Journal of Molecular Diagnostics.

"Our goal was to identify microRNAs (miRNAs) that can aid in the differential diagnosis of MPM from RMPs," says lead investigator Eric Santoni-Rugiu, MD, PhD, of the Laboratory of Molecular Pathology at the Department of Pathology of Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. miRNAs, which are small, non-coding RNA strands composed of approximately 22 nucleotides, have been shown to be potential diagnostic, prognostic, and predictive markers in other cancers.

After screening 742 miRNAs, the investigators identified miR-126, miR-143, miR-145, and miR-652 as the best candidates to diagnose MPM. Using results from these four miRNAs, tissue samples from patients with known outcomes could be classified as MPM or non-cancerous with an accuracy of 0.94, sensitivity of 0.95, and specificity of 0.93. Further, an association between miRNA levels and patient survival could be made.

"The International Mesothelioma Interest Group (IMIG) recommends that a diagnostic marker of MPM have sensitivity/specificity of >0.80, and these criteria are fulfilled by our miRNA classifier," comments Dr. Santoni-Rugiu. The authors suggest that diagnostic accuracy can be further improved by adding immunohistochemical testing of miRNA targets in biopsy tissue to their miRNA assay. This combined assay could enable analysis of samples with low tumor cell count.

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Contact: Eileen Leahy
jmdmedia@elsevier.com
732-238-3628
Elsevier Health Sciences
Source:Eurekalert

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