Classification of the Four Main Types of Lung Cancer Using a MicroRNA-Based Diagnostic Assay
For patients with primary lung cancer, accurate determination of the tumor type significantly influences treatment decisions. However, techniques and methods for lung cancer typing lack standardization. In particular, owing to limited tumor sample amounts and the poor quality of some samples, the cl...
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creator | Gilad, Shlomit Lithwick-Yanai, Gila Barshack, Iris Benjamin, Sima Krivitsky, Irit Edmonston, Tina Bocker Bibbo, Marluce Thurm, Craig Horowitz, Laurie Huang, Yajue Feinmesser, Meora Steve Hou, J St. Cyr, Brianna Burnstein, Ilanit Gibori, Hadas Dromi, Nir Sanden, Mats Kushnir, Michal Aharonov, Ranit |
description | For patients with primary lung cancer, accurate determination of the tumor type significantly influences treatment decisions. However, techniques and methods for lung cancer typing lack standardization. In particular, owing to limited tumor sample amounts and the poor quality of some samples, the classification of primary lung cancers using small preoperative biopsy specimens presents a diagnostic challenge using current tools. We previously described a microRNA-based assay (miRview squamous; Rosetta Genomics Ltd., Rehovot, Israel) that accurately differentiates between squamous and nonsquamous non–small cell lung cancer. Herein, we describe the development and validation of an assay that differentiates between the four main types of lung cancer: squamous cell carcinoma, nonsquamous non–small cell lung cancer, carcinoid, and small cell carcinoma. The assay, miRview lung (Rosetta Genomics Ltd.), is based on the expression levels of eight microRNAs, measured using a sensitive quantitative RT-PCR platform. It was validated on an independent set of 451 samples, more than half of which were preoperative cytologic samples (fine-needle aspiration and bronchial brushing and washing). The assay returned a result for more than 90% of the samples with overall accuracy of 94% (95% CI, 91% to 96%), with similar performance observed in pathologic and cytologic samples. Thus, miRview lung is a simple and reliable diagnostic assay that offers an accurate and standardized classification tool for primary lung cancer using pathologic and cytologic samples. |
doi_str_mv | 10.1016/j.jmoldx.2012.03.004 |
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However, techniques and methods for lung cancer typing lack standardization. In particular, owing to limited tumor sample amounts and the poor quality of some samples, the classification of primary lung cancers using small preoperative biopsy specimens presents a diagnostic challenge using current tools. We previously described a microRNA-based assay (miRview squamous; Rosetta Genomics Ltd., Rehovot, Israel) that accurately differentiates between squamous and nonsquamous non–small cell lung cancer. Herein, we describe the development and validation of an assay that differentiates between the four main types of lung cancer: squamous cell carcinoma, nonsquamous non–small cell lung cancer, carcinoid, and small cell carcinoma. The assay, miRview lung (Rosetta Genomics Ltd.), is based on the expression levels of eight microRNAs, measured using a sensitive quantitative RT-PCR platform. It was validated on an independent set of 451 samples, more than half of which were preoperative cytologic samples (fine-needle aspiration and bronchial brushing and washing). The assay returned a result for more than 90% of the samples with overall accuracy of 94% (95% CI, 91% to 96%), with similar performance observed in pathologic and cytologic samples. Thus, miRview lung is a simple and reliable diagnostic assay that offers an accurate and standardized classification tool for primary lung cancer using pathologic and cytologic samples.</description><identifier>ISSN: 1525-1578</identifier><identifier>EISSN: 1943-7811</identifier><identifier>DOI: 10.1016/j.jmoldx.2012.03.004</identifier><identifier>PMID: 22749746</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Lung Neoplasms - classification ; Lung Neoplasms - diagnosis ; Lung Neoplasms - genetics ; MicroRNAs - genetics ; Molecular Diagnostic Techniques - methods ; Oligonucleotide Array Sequence Analysis - methods ; Pathology ; Reproducibility of Results ; Sensitivity and Specificity</subject><ispartof>The Journal of molecular diagnostics : JMD, 2012-09, Vol.14 (5), p.510-517</ispartof><rights>American Society for Investigative Pathology and the Association for Molecular Pathology</rights><rights>2012 American Society for Investigative Pathology and the Association for Molecular Pathology</rights><rights>Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-96cb3b3f04e9155b995a68778d8218ed9605ae786a6f370d74d9a7eb26c19ada3</citedby><cites>FETCH-LOGICAL-c463t-96cb3b3f04e9155b995a68778d8218ed9605ae786a6f370d74d9a7eb26c19ada3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1525157812001250$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22749746$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gilad, Shlomit</creatorcontrib><creatorcontrib>Lithwick-Yanai, Gila</creatorcontrib><creatorcontrib>Barshack, Iris</creatorcontrib><creatorcontrib>Benjamin, Sima</creatorcontrib><creatorcontrib>Krivitsky, Irit</creatorcontrib><creatorcontrib>Edmonston, Tina Bocker</creatorcontrib><creatorcontrib>Bibbo, Marluce</creatorcontrib><creatorcontrib>Thurm, Craig</creatorcontrib><creatorcontrib>Horowitz, Laurie</creatorcontrib><creatorcontrib>Huang, Yajue</creatorcontrib><creatorcontrib>Feinmesser, Meora</creatorcontrib><creatorcontrib>Steve Hou, J</creatorcontrib><creatorcontrib>St. Cyr, Brianna</creatorcontrib><creatorcontrib>Burnstein, Ilanit</creatorcontrib><creatorcontrib>Gibori, Hadas</creatorcontrib><creatorcontrib>Dromi, Nir</creatorcontrib><creatorcontrib>Sanden, Mats</creatorcontrib><creatorcontrib>Kushnir, Michal</creatorcontrib><creatorcontrib>Aharonov, Ranit</creatorcontrib><title>Classification of the Four Main Types of Lung Cancer Using a MicroRNA-Based Diagnostic Assay</title><title>The Journal of molecular diagnostics : JMD</title><addtitle>J Mol Diagn</addtitle><description>For patients with primary lung cancer, accurate determination of the tumor type significantly influences treatment decisions. However, techniques and methods for lung cancer typing lack standardization. In particular, owing to limited tumor sample amounts and the poor quality of some samples, the classification of primary lung cancers using small preoperative biopsy specimens presents a diagnostic challenge using current tools. We previously described a microRNA-based assay (miRview squamous; Rosetta Genomics Ltd., Rehovot, Israel) that accurately differentiates between squamous and nonsquamous non–small cell lung cancer. Herein, we describe the development and validation of an assay that differentiates between the four main types of lung cancer: squamous cell carcinoma, nonsquamous non–small cell lung cancer, carcinoid, and small cell carcinoma. The assay, miRview lung (Rosetta Genomics Ltd.), is based on the expression levels of eight microRNAs, measured using a sensitive quantitative RT-PCR platform. It was validated on an independent set of 451 samples, more than half of which were preoperative cytologic samples (fine-needle aspiration and bronchial brushing and washing). The assay returned a result for more than 90% of the samples with overall accuracy of 94% (95% CI, 91% to 96%), with similar performance observed in pathologic and cytologic samples. Thus, miRview lung is a simple and reliable diagnostic assay that offers an accurate and standardized classification tool for primary lung cancer using pathologic and cytologic samples.</description><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Humans</subject><subject>Lung Neoplasms - classification</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Lung Neoplasms - genetics</subject><subject>MicroRNAs - genetics</subject><subject>Molecular Diagnostic Techniques - methods</subject><subject>Oligonucleotide Array Sequence Analysis - methods</subject><subject>Pathology</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><issn>1525-1578</issn><issn>1943-7811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU9v1DAQxSMEoqXwDRDykUuC_8VOLkjLQgFpCxK0NyTLsSfFIRtvPQlivz2OtnDgwslj670Zz-8VxXNGK0aZejVUwz6O_lfFKeMVFRWl8kFxzlopSt0w9jDXNa9LVuvmrHiCOFDKpFT8cXHGuZatluq8-LYdLWLog7NziBOJPZm_A7mMSyJXNkzk-ngAXJ93y3RLtnZykMgNhnyx5Cq4FL982pRvLIInb4O9nSLOwZENoj0-LR71dkR4dn9eFDeX7663H8rd5_cft5td6aQSc9kq14lO9FRCy-q6a9vaqkbrxjecNeBbRWsLulFW9UJTr6VvrYaOK8da6624KF6e-h5SvFsAZ7MP6GAc7QRxQcOokJmSEixL5UmaP46YoDeHFPY2HbPIrFzNYE5czcrVUGEy12x7cT9h6fbg_5r-gMyC1ycB5D1_BkgGXYAMy4cEbjY-hv9N-LeBG8OUYxl_wBFwyIFMmaFhBrPHfF2zXaNlPMfKayp-AzprnpA</recordid><startdate>20120901</startdate><enddate>20120901</enddate><creator>Gilad, Shlomit</creator><creator>Lithwick-Yanai, Gila</creator><creator>Barshack, Iris</creator><creator>Benjamin, Sima</creator><creator>Krivitsky, Irit</creator><creator>Edmonston, Tina Bocker</creator><creator>Bibbo, Marluce</creator><creator>Thurm, Craig</creator><creator>Horowitz, Laurie</creator><creator>Huang, Yajue</creator><creator>Feinmesser, Meora</creator><creator>Steve Hou, J</creator><creator>St. Cyr, Brianna</creator><creator>Burnstein, Ilanit</creator><creator>Gibori, Hadas</creator><creator>Dromi, Nir</creator><creator>Sanden, Mats</creator><creator>Kushnir, Michal</creator><creator>Aharonov, Ranit</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20120901</creationdate><title>Classification of the Four Main Types of Lung Cancer Using a MicroRNA-Based Diagnostic Assay</title><author>Gilad, Shlomit ; 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It was validated on an independent set of 451 samples, more than half of which were preoperative cytologic samples (fine-needle aspiration and bronchial brushing and washing). The assay returned a result for more than 90% of the samples with overall accuracy of 94% (95% CI, 91% to 96%), with similar performance observed in pathologic and cytologic samples. Thus, miRview lung is a simple and reliable diagnostic assay that offers an accurate and standardized classification tool for primary lung cancer using pathologic and cytologic samples.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>22749746</pmid><doi>10.1016/j.jmoldx.2012.03.004</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Lung Neoplasms - classification Lung Neoplasms - diagnosis Lung Neoplasms - genetics MicroRNAs - genetics Molecular Diagnostic Techniques - methods Oligonucleotide Array Sequence Analysis - methods Pathology Reproducibility of Results Sensitivity and Specificity |
title | Classification of the Four Main Types of Lung Cancer Using a MicroRNA-Based Diagnostic Assay |
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