MicroRNAs accurately identify cancer tissue origin Export

@article{citeulike:2601056, abstract = {MicroRNAs (miRNAs) belong to a class of noncoding, regulatory RNAs that is involved in oncogenesis and shows remarkable tissue specificity. Their potential for tumor classification suggests they may be used in identifying the tissue in which cancers of unknown primary origin arose, a major clinical problem. We measured miRNA expression levels in 400 paraffin-embedded and fresh-frozen samples from 22 different tumor tissues and metastases. We used miRNA microarray data of 253 samples to construct a transparent classifier based on 48 miRNAs. Two-thirds of samples were classified with high confidence, with accuracy >90\%. In an independent blinded test-set of 83 samples, overall high-confidence accuracy reached 89\%. Classification accuracy reached 100\% for most tissue classes, including 131 metastatic samples. We further validated the utility of the miRNA biomarkers by quantitative RT-PCR using 65 additional blinded test samples. Our findings demonstrate the effectiveness of miRNAs as biomarkers for tracing the tissue of origin of cancers of unknown primary origin.}, address = {[1] Rosetta Genomics Ltd., Rehovot 76706, Israel. [2] These authors contributed equally to this work.}, author = {Rosenfeld, Nitzan and Aharonov, Ranit and Meiri, Eti and Rosenwald, Shai and Spector, Yael and Zepeniuk, Merav and Benjamin, Hila and Shabes, Norberto and Tabak, Sarit and Levy, Asaf and Lebanony, Danit and Goren, Yaron and Silberschein, Erez and Targan, Nurit and Ben-Ari, Alex and Gilad, Shlomit and Sion-Vardy, Netta and Tobar, Ana and Feinmesser, Meora and Kharenko, Oleg and Nativ, Ofer and Nass, Dvora and Perelman, Marina and Yosepovich, Ady and Shalmon, Bruria and Polak-Charcon, Sylvie and Fridman, Eddie and Avniel, Amir and Bentwich, Isaac and Bentwich, Zvi and Cohen, Dalia and Chajut, Ayelet and Barshack, Iris}, citeulike-article-id = {2601056}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nbt1392}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nbt1392}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/18362881}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=18362881}, day = {23}, doi = {10.1038/nbt1392}, issn = {1087-0156}, journal = {Nature Biotechnology}, keywords = {cancer, classification, expression, microrna, tool}, month = {March}, number = {4}, pages = {462--469}, posted-at = {2008-05-19 09:37:10}, priority = {2}, publisher = {Nature Publishing Group}, title = {MicroRNAs accurately identify cancer tissue origin}, url = {http://dx.doi.org/10.1038/nbt1392}, volume = {26}, year = {2008} }

TY - JOUR ID - citeulike:2601056 L3 - citeulike-article-id:2601056 N2 - MicroRNAs (miRNAs) belong to a class of noncoding, regulatory RNAs that is involved in oncogenesis and shows remarkable tissue specificity. Their potential for tumor classification suggests they may be used in identifying the tissue in which cancers of unknown primary origin arose, a major clinical problem. We measured miRNA expression levels in 400 paraffin-embedded and fresh-frozen samples from 22 different tumor tissues and metastases. We used miRNA microarray data of 253 samples to construct a transparent classifier based on 48 miRNAs. Two-thirds of samples were classified with high confidence, with accuracy >90%. In an independent blinded test-set of 83 samples, overall high-confidence accuracy reached 89%. Classification accuracy reached 100% for most tissue classes, including 131 metastatic samples. We further validated the utility of the miRNA biomarkers by quantitative RT-PCR using 65 additional blinded test samples. Our findings demonstrate the effectiveness of miRNAs as biomarkers for tracing the tissue of origin of cancers of unknown primary origin. IS - 4 JF - Nature Biotechnology SN - 1087-0156 AD - [1] Rosetta Genomics Ltd., Rehovot 76706, Israel. [2] These authors contributed equally to this work. EP - 469 TI - MicroRNAs accurately identify cancer tissue origin PB - Nature Publishing Group VL - 26 SP - 462 KW - cancer KW - classification KW - expression KW - microrna KW - tool AU - Rosenfeld, Nitzan AU - Aharonov, Ranit AU - Meiri, Eti AU - Rosenwald, Shai AU - Spector, Yael AU - Zepeniuk, Merav AU - Benjamin, Hila AU - Shabes, Norberto AU - Tabak, Sarit AU - Levy, Asaf AU - Lebanony, Danit AU - Goren, Yaron AU - Silberschein, Erez AU - Targan, Nurit AU - Ben-Ari, Alex AU - Gilad, Shlomit AU - Sion-Vardy, Netta AU - Tobar, Ana AU - Feinmesser, Meora AU - Kharenko, Oleg AU - Nativ, Ofer AU - Nass, Dvora AU - Perelman, Marina AU - Yosepovich, Ady AU - Shalmon, Bruria AU - Polak-Charcon, Sylvie AU - Fridman, Eddie AU - Avniel, Amir AU - Bentwich, Isaac AU - Bentwich, Zvi AU - Cohen, Dalia AU - Chajut, Ayelet AU - Barshack, Iris PY - 2008/03/23/ UR - http://dx.doi.org/10.1038/nbt1392 ER -