Two panels of plasma microRNAs as non-invasive biomarkers for prediction of recurrence in resectable NSCLC
The diagnosis of non-small cell lung carcinoma (NSCLC) at an early stage, as well as better prediction of outcome remains clinically challenging due to the lack of specific and robust non-invasive markers. The discovery of microRNAs (miRNAs), particularly those found in the bloodstream, has opened u...
Gespeichert in:
| Veröffentlicht in: | PloS one 2013-01, Vol.8 (1), p.e54596-e54596 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e54596 |
|---|---|
| container_issue | 1 |
| container_start_page | e54596 |
| container_title | PloS one |
| container_volume | 8 |
| creator | Sanfiorenzo, Céline Ilie, Marius I Belaid, Amine Barlési, Fabrice Mouroux, Jérôme Marquette, Charles-Hugo Brest, Patrick Hofman, Paul |
| description | The diagnosis of non-small cell lung carcinoma (NSCLC) at an early stage, as well as better prediction of outcome remains clinically challenging due to the lack of specific and robust non-invasive markers. The discovery of microRNAs (miRNAs), particularly those found in the bloodstream, has opened up new perspectives for tumor diagnosis and prognosis. The aim of our study was to determine whether expression profiles of specific miRNAs in plasma could accurately discriminate between NSCLC patients and controls, and whether they are able to predict the prognosis of resectable NSCLC patients. We therefore evaluated a series of seventeen NSCLC-related miRNAs by quantitative real-time (qRT)-PCR in plasma from 52 patients with I-IIIA stages NSCLC, 10 patients with chronic obstructive pulmonary disease (COPD) and 20-age, sex and smoking status-matched healthy individuals. We identified an eleven-plasma miRNA panel that could distinguish NSCLC patients from healthy subjects (AUC = 0.879). A six-plasma miRNA panel was able to discriminate between NSCLC patients and COPD patients (AUC = 0.944). Furthermore, we identified a three-miRNA plasma signature (high miR-155-5p, high miR-223-3p, and low miR-126-3p) that significantly associated with a higher risk for progression in adenocarcinoma patients. In addition, a three-miRNA plasma panel (high miR-20a-5p, low miR-152-3p, and low miR-199a-5p) significantly predicted survival of squamous cell carcinoma patients. In conclusion, we identified two plasma miRNA expression profiles that may be useful for predicting the outcome of patients with resectable NSCLC. |
| doi_str_mv | 10.1371/journal.pone.0054596 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1327279538</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A478256022</galeid><doaj_id>oai_doaj_org_article_a6c2a986eb10421ea387691d61dd7357</doaj_id><sourcerecordid>A478256022</sourcerecordid><originalsourceid>FETCH-LOGICAL-c758t-d7ca3be0d2a47fe17267cb3006627bc96789be020f406906bc892206d14b92083</originalsourceid><addsrcrecordid>eNqNk1tv0zAUxyMEYmPwDRBEQkLw0OJLYicvSFXFpVK1Sdvg1XKck87FtTM7KfDtcWg2NWgPyA_x5Xf-J-eWJC8xmmPK8Yet672VZt46C3OE8iwv2aPkFJeUzBhB9PHR_iR5FsI2QrRg7GlyQijNCObZabK9_unSVlowIXVN2hoZdjLdaeXd5fkipDKk1tmZtnsZ9B7SSrud9D_Ah7RxPm091Fp12tnB2oPqvQerINU2ngKoTlYG0vOr5Xr5PHnSSBPgxfg9S759_nS9_DpbX3xZLRfrmeJ50c1qriStANVEZrwBzAnjqqIIMUZ4pUrGizI-E9RkiJWIVaooCUGsxllVElTQs-T1Qbc1LogxTUFgSjjhZUxBJFYHonZyK1qvY0i_hZNa_L1wfiOk77QyICRTRJYFgwqjmDKQtOCsxDXDdc1pzqPWx9FbX-2gVmA7L81EdPpi9Y3YuL2gecbKgkSBd6OAd7c9hE7sdFBgTCyK6-N_E04LlBNGI_rmH_Th6EZqI2MA2jYu-lWDqFhkvCA5Q2RwO3-AiquGWP3YU42O9xOD9xODyHTwq9vIPgSxurr8f_bi-5R9e8TegDTdTXCmH5oqTMHsAMbeDMFDc59kjMQwEnfZEMNIiHEkotmr4wLdG93NAP0D1KcE5w</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1327279538</pqid></control><display><type>article</type><title>Two panels of plasma microRNAs as non-invasive biomarkers for prediction of recurrence in resectable NSCLC</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Sanfiorenzo, Céline ; Ilie, Marius I ; Belaid, Amine ; Barlési, Fabrice ; Mouroux, Jérôme ; Marquette, Charles-Hugo ; Brest, Patrick ; Hofman, Paul</creator><creatorcontrib>Sanfiorenzo, Céline ; Ilie, Marius I ; Belaid, Amine ; Barlési, Fabrice ; Mouroux, Jérôme ; Marquette, Charles-Hugo ; Brest, Patrick ; Hofman, Paul</creatorcontrib><description>The diagnosis of non-small cell lung carcinoma (NSCLC) at an early stage, as well as better prediction of outcome remains clinically challenging due to the lack of specific and robust non-invasive markers. The discovery of microRNAs (miRNAs), particularly those found in the bloodstream, has opened up new perspectives for tumor diagnosis and prognosis. The aim of our study was to determine whether expression profiles of specific miRNAs in plasma could accurately discriminate between NSCLC patients and controls, and whether they are able to predict the prognosis of resectable NSCLC patients. We therefore evaluated a series of seventeen NSCLC-related miRNAs by quantitative real-time (qRT)-PCR in plasma from 52 patients with I-IIIA stages NSCLC, 10 patients with chronic obstructive pulmonary disease (COPD) and 20-age, sex and smoking status-matched healthy individuals. We identified an eleven-plasma miRNA panel that could distinguish NSCLC patients from healthy subjects (AUC = 0.879). A six-plasma miRNA panel was able to discriminate between NSCLC patients and COPD patients (AUC = 0.944). Furthermore, we identified a three-miRNA plasma signature (high miR-155-5p, high miR-223-3p, and low miR-126-3p) that significantly associated with a higher risk for progression in adenocarcinoma patients. In addition, a three-miRNA plasma panel (high miR-20a-5p, low miR-152-3p, and low miR-199a-5p) significantly predicted survival of squamous cell carcinoma patients. In conclusion, we identified two plasma miRNA expression profiles that may be useful for predicting the outcome of patients with resectable NSCLC.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0054596</identifier><identifier>PMID: 23342174</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adenocarcinoma ; Aged ; Aging ; Antigens ; Biology ; Biomarkers ; Carcinoma, Non-Small-Cell Lung - blood ; Cell survival ; Chronic obstructive lung disease ; Chronic obstructive pulmonary disease ; Development and progression ; Diagnosis ; Female ; Gene expression ; Health care ; Humans ; Laboratories ; Lung cancer ; Lung carcinoma ; Lung diseases ; Lung Neoplasms - blood ; Male ; Medical diagnosis ; Medical prognosis ; Medical research ; Medicine ; MicroRNA ; MicroRNAs ; MicroRNAs - blood ; miRNA ; Non-small cell lung cancer ; Non-small cell lung carcinoma ; Obstructive lung disease ; Pathology ; Patients ; Plasma ; Predictions ; Prognosis ; Small cell lung carcinoma ; Smoking ; Squamous cell carcinoma ; Thoracic surgery ; Tumors</subject><ispartof>PloS one, 2013-01, Vol.8 (1), p.e54596-e54596</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Sanfiorenzo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Sanfiorenzo et al 2013 Sanfiorenzo et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-d7ca3be0d2a47fe17267cb3006627bc96789be020f406906bc892206d14b92083</citedby><cites>FETCH-LOGICAL-c758t-d7ca3be0d2a47fe17267cb3006627bc96789be020f406906bc892206d14b92083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546982/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546982/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23342174$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sanfiorenzo, Céline</creatorcontrib><creatorcontrib>Ilie, Marius I</creatorcontrib><creatorcontrib>Belaid, Amine</creatorcontrib><creatorcontrib>Barlési, Fabrice</creatorcontrib><creatorcontrib>Mouroux, Jérôme</creatorcontrib><creatorcontrib>Marquette, Charles-Hugo</creatorcontrib><creatorcontrib>Brest, Patrick</creatorcontrib><creatorcontrib>Hofman, Paul</creatorcontrib><title>Two panels of plasma microRNAs as non-invasive biomarkers for prediction of recurrence in resectable NSCLC</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The diagnosis of non-small cell lung carcinoma (NSCLC) at an early stage, as well as better prediction of outcome remains clinically challenging due to the lack of specific and robust non-invasive markers. The discovery of microRNAs (miRNAs), particularly those found in the bloodstream, has opened up new perspectives for tumor diagnosis and prognosis. The aim of our study was to determine whether expression profiles of specific miRNAs in plasma could accurately discriminate between NSCLC patients and controls, and whether they are able to predict the prognosis of resectable NSCLC patients. We therefore evaluated a series of seventeen NSCLC-related miRNAs by quantitative real-time (qRT)-PCR in plasma from 52 patients with I-IIIA stages NSCLC, 10 patients with chronic obstructive pulmonary disease (COPD) and 20-age, sex and smoking status-matched healthy individuals. We identified an eleven-plasma miRNA panel that could distinguish NSCLC patients from healthy subjects (AUC = 0.879). A six-plasma miRNA panel was able to discriminate between NSCLC patients and COPD patients (AUC = 0.944). Furthermore, we identified a three-miRNA plasma signature (high miR-155-5p, high miR-223-3p, and low miR-126-3p) that significantly associated with a higher risk for progression in adenocarcinoma patients. In addition, a three-miRNA plasma panel (high miR-20a-5p, low miR-152-3p, and low miR-199a-5p) significantly predicted survival of squamous cell carcinoma patients. In conclusion, we identified two plasma miRNA expression profiles that may be useful for predicting the outcome of patients with resectable NSCLC.</description><subject>Adenocarcinoma</subject><subject>Aged</subject><subject>Aging</subject><subject>Antigens</subject><subject>Biology</subject><subject>Biomarkers</subject><subject>Carcinoma, Non-Small-Cell Lung - blood</subject><subject>Cell survival</subject><subject>Chronic obstructive lung disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Gene expression</subject><subject>Health care</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Lung cancer</subject><subject>Lung carcinoma</subject><subject>Lung diseases</subject><subject>Lung Neoplasms - blood</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - blood</subject><subject>miRNA</subject><subject>Non-small cell lung cancer</subject><subject>Non-small cell lung carcinoma</subject><subject>Obstructive lung disease</subject><subject>Pathology</subject><subject>Patients</subject><subject>Plasma</subject><subject>Predictions</subject><subject>Prognosis</subject><subject>Small cell lung carcinoma</subject><subject>Smoking</subject><subject>Squamous cell carcinoma</subject><subject>Thoracic surgery</subject><subject>Tumors</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1tv0zAUxyMEYmPwDRBEQkLw0OJLYicvSFXFpVK1Sdvg1XKck87FtTM7KfDtcWg2NWgPyA_x5Xf-J-eWJC8xmmPK8Yet672VZt46C3OE8iwv2aPkFJeUzBhB9PHR_iR5FsI2QrRg7GlyQijNCObZabK9_unSVlowIXVN2hoZdjLdaeXd5fkipDKk1tmZtnsZ9B7SSrud9D_Ah7RxPm091Fp12tnB2oPqvQerINU2ngKoTlYG0vOr5Xr5PHnSSBPgxfg9S759_nS9_DpbX3xZLRfrmeJ50c1qriStANVEZrwBzAnjqqIIMUZ4pUrGizI-E9RkiJWIVaooCUGsxllVElTQs-T1Qbc1LogxTUFgSjjhZUxBJFYHonZyK1qvY0i_hZNa_L1wfiOk77QyICRTRJYFgwqjmDKQtOCsxDXDdc1pzqPWx9FbX-2gVmA7L81EdPpi9Y3YuL2gecbKgkSBd6OAd7c9hE7sdFBgTCyK6-N_E04LlBNGI_rmH_Th6EZqI2MA2jYu-lWDqFhkvCA5Q2RwO3-AiquGWP3YU42O9xOD9xODyHTwq9vIPgSxurr8f_bi-5R9e8TegDTdTXCmH5oqTMHsAMbeDMFDc59kjMQwEnfZEMNIiHEkotmr4wLdG93NAP0D1KcE5w</recordid><startdate>20130116</startdate><enddate>20130116</enddate><creator>Sanfiorenzo, Céline</creator><creator>Ilie, Marius I</creator><creator>Belaid, Amine</creator><creator>Barlési, Fabrice</creator><creator>Mouroux, Jérôme</creator><creator>Marquette, Charles-Hugo</creator><creator>Brest, Patrick</creator><creator>Hofman, Paul</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130116</creationdate><title>Two panels of plasma microRNAs as non-invasive biomarkers for prediction of recurrence in resectable NSCLC</title><author>Sanfiorenzo, Céline ; Ilie, Marius I ; Belaid, Amine ; Barlési, Fabrice ; Mouroux, Jérôme ; Marquette, Charles-Hugo ; Brest, Patrick ; Hofman, Paul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-d7ca3be0d2a47fe17267cb3006627bc96789be020f406906bc892206d14b92083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adenocarcinoma</topic><topic>Aged</topic><topic>Aging</topic><topic>Antigens</topic><topic>Biology</topic><topic>Biomarkers</topic><topic>Carcinoma, Non-Small-Cell Lung - blood</topic><topic>Cell survival</topic><topic>Chronic obstructive lung disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Gene expression</topic><topic>Health care</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Lung cancer</topic><topic>Lung carcinoma</topic><topic>Lung diseases</topic><topic>Lung Neoplasms - blood</topic><topic>Male</topic><topic>Medical diagnosis</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Medicine</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>MicroRNAs - blood</topic><topic>miRNA</topic><topic>Non-small cell lung cancer</topic><topic>Non-small cell lung carcinoma</topic><topic>Obstructive lung disease</topic><topic>Pathology</topic><topic>Patients</topic><topic>Plasma</topic><topic>Predictions</topic><topic>Prognosis</topic><topic>Small cell lung carcinoma</topic><topic>Smoking</topic><topic>Squamous cell carcinoma</topic><topic>Thoracic surgery</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanfiorenzo, Céline</creatorcontrib><creatorcontrib>Ilie, Marius I</creatorcontrib><creatorcontrib>Belaid, Amine</creatorcontrib><creatorcontrib>Barlési, Fabrice</creatorcontrib><creatorcontrib>Mouroux, Jérôme</creatorcontrib><creatorcontrib>Marquette, Charles-Hugo</creatorcontrib><creatorcontrib>Brest, Patrick</creatorcontrib><creatorcontrib>Hofman, Paul</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanfiorenzo, Céline</au><au>Ilie, Marius I</au><au>Belaid, Amine</au><au>Barlési, Fabrice</au><au>Mouroux, Jérôme</au><au>Marquette, Charles-Hugo</au><au>Brest, Patrick</au><au>Hofman, Paul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two panels of plasma microRNAs as non-invasive biomarkers for prediction of recurrence in resectable NSCLC</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-01-16</date><risdate>2013</risdate><volume>8</volume><issue>1</issue><spage>e54596</spage><epage>e54596</epage><pages>e54596-e54596</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The diagnosis of non-small cell lung carcinoma (NSCLC) at an early stage, as well as better prediction of outcome remains clinically challenging due to the lack of specific and robust non-invasive markers. The discovery of microRNAs (miRNAs), particularly those found in the bloodstream, has opened up new perspectives for tumor diagnosis and prognosis. The aim of our study was to determine whether expression profiles of specific miRNAs in plasma could accurately discriminate between NSCLC patients and controls, and whether they are able to predict the prognosis of resectable NSCLC patients. We therefore evaluated a series of seventeen NSCLC-related miRNAs by quantitative real-time (qRT)-PCR in plasma from 52 patients with I-IIIA stages NSCLC, 10 patients with chronic obstructive pulmonary disease (COPD) and 20-age, sex and smoking status-matched healthy individuals. We identified an eleven-plasma miRNA panel that could distinguish NSCLC patients from healthy subjects (AUC = 0.879). A six-plasma miRNA panel was able to discriminate between NSCLC patients and COPD patients (AUC = 0.944). Furthermore, we identified a three-miRNA plasma signature (high miR-155-5p, high miR-223-3p, and low miR-126-3p) that significantly associated with a higher risk for progression in adenocarcinoma patients. In addition, a three-miRNA plasma panel (high miR-20a-5p, low miR-152-3p, and low miR-199a-5p) significantly predicted survival of squamous cell carcinoma patients. In conclusion, we identified two plasma miRNA expression profiles that may be useful for predicting the outcome of patients with resectable NSCLC.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23342174</pmid><doi>10.1371/journal.pone.0054596</doi><tpages>e54596</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2013-01, Vol.8 (1), p.e54596-e54596 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1327279538 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Adenocarcinoma Aged Aging Antigens Biology Biomarkers Carcinoma, Non-Small-Cell Lung - blood Cell survival Chronic obstructive lung disease Chronic obstructive pulmonary disease Development and progression Diagnosis Female Gene expression Health care Humans Laboratories Lung cancer Lung carcinoma Lung diseases Lung Neoplasms - blood Male Medical diagnosis Medical prognosis Medical research Medicine MicroRNA MicroRNAs MicroRNAs - blood miRNA Non-small cell lung cancer Non-small cell lung carcinoma Obstructive lung disease Pathology Patients Plasma Predictions Prognosis Small cell lung carcinoma Smoking Squamous cell carcinoma Thoracic surgery Tumors |
| title | Two panels of plasma microRNAs as non-invasive biomarkers for prediction of recurrence in resectable NSCLC |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T20%3A36%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Two%20panels%20of%20plasma%20microRNAs%20as%20non-invasive%20biomarkers%20for%20prediction%20of%20recurrence%20in%20resectable%20NSCLC&rft.jtitle=PloS%20one&rft.au=Sanfiorenzo,%20C%C3%A9line&rft.date=2013-01-16&rft.volume=8&rft.issue=1&rft.spage=e54596&rft.epage=e54596&rft.pages=e54596-e54596&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0054596&rft_dat=%3Cgale_plos_%3EA478256022%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1327279538&rft_id=info:pmid/23342174&rft_galeid=A478256022&rft_doaj_id=oai_doaj_org_article_a6c2a986eb10421ea387691d61dd7357&rfr_iscdi=true |