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MicroRNA profiles of prostate carcinoma detected by multiplatform microRNA screening
Author(s) -
Wach Sven,
Nolte Elke,
Szczyrba Jaroslaw,
Stöhr Robert,
Hartmann Arndt,
Ørntoft Torben,
Dyrskjøt Lars,
Eltze Elke,
Wieland Wolf,
Keck Bastian,
Ekici Arif B.,
Grässer Friedrich,
Wullich Bernd
Publication year - 2011
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.26064
Subject(s) - microrna , prostate cancer , biology , carcinogenesis , computational biology , cancer , dna microarray , gene expression , in situ hybridization , gene silencing , small rna , cancer research , gene , genetics
MicroRNAs (miRNAs) are small RNA molecules that regulate gene expression via posttranscriptional inhibition of protein synthesis. They play a vital role in tumorigenesis. To characterize the diagnostic potential of miRNAs in prostate cancer, a leading cause of cancer mortality, we performed screening of miRNA expression profiles. We used commercially available microarrays to establish miRNA expression profiles from a cohort of 20 cancer samples. The expression of selected miRNAs was analyzed by quantitative real‐time PCR and the identity of miRNA expressing cells was determined by miRNA in situ hybridization. We identified 25 miRNAs that showed a significant differential expression in cancer samples. The comparison with previously published data generated by deep sequencing of cDNA libraries of small RNA molecules revealed a concordance rate of 47% among miRNAs identified with both techniques. The differential expression of miRNAs miR‐375 , miR‐143 and miR‐145 was validated by quantitative PCR. MiRNA in situ hybridization revealed that the differential expression is cancer‐cell associated. A combination of three miRNAs correctly classified tissue samples with an accuracy of 77.6% with an area under the receiver–operator characteristic curve of 0.810. Our data extend the knowledge about the deregulation of miRNAs in prostate cancer. The differential expression of several miRNAs is highly consistent using independent cohorts of tumor samples, different tissue preservation methods and different experimental methods. Our results indicate that combinations of miRNAs are promising biomarkers for the diagnosis of prostate cancer.