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Association of microRNA-33a Molecular Signature with Non-Small Cell Lung Cancer Diagnosis and Prognosis after Chemotherapy
This study aims to explore the expression pattern and prognostic significance of miR-33a in non-small cell lung cancer (NSCLC) treated with adjuvant chemotherapy. MiR-33aexpression in NSCLC was analyzed in silico using the GEO database and was subsequently confirmed by quantitative RT-PCR in 147 NSC...
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| Published in: | PloS one 2017-01, Vol.12 (1), p.e0170431-e0170431 |
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| container_end_page | e0170431 |
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| creator | Hou, Li-Kun Ma, Yu-Shui Han, Yang Lu, Gai-Xia Luo, Pei Chang, Zheng-Yan Xie, Ru-Ting Yang, Hui-Qiong Chai, Li Cai, Ming-Xiang Wu, Ting-Miao Yu, Fei Qin, Shan-Shan Lv, Zhong-Wei Wu, Chun-Yan Fu, Da |
| description | This study aims to explore the expression pattern and prognostic significance of miR-33a in non-small cell lung cancer (NSCLC) treated with adjuvant chemotherapy.
MiR-33aexpression in NSCLC was analyzed in silico using the GEO database and was subsequently confirmed by quantitative RT-PCR in 147 NSCLC biopsies. Among these, 32 of these biopsies were paired with adjacent non-neoplastic tissues. The survival analysis of NSCLC by Kaplan-Meier estimates was stratified based on miR-33a expression. In addition, multivariate survival analysis in corresponding groups of NSCLC patients was conducted by Cox proportional hazards regression model.
The in silico analysis of miR-33a expression in NSCLC resulted to its down-regulation in different tumor types. The expression level of miR-33a was lower in each grade of NSCLC tumor biopsies than in normal lung tissues. Univariate and multivariate survival analysis further established that low miR-33a expression was an important risk factor for overall survival and disease free survival in NSCLC patients.
Our study implied that miR-33a expression levels may have an essential role in NSCLC progression, and could act as a specific and sensitive biomarker for NSCLC patients who have undergone adjuvant chemotherapy. |
| doi_str_mv | 10.1371/journal.pone.0170431 |
| format | article |
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MiR-33aexpression in NSCLC was analyzed in silico using the GEO database and was subsequently confirmed by quantitative RT-PCR in 147 NSCLC biopsies. Among these, 32 of these biopsies were paired with adjacent non-neoplastic tissues. The survival analysis of NSCLC by Kaplan-Meier estimates was stratified based on miR-33a expression. In addition, multivariate survival analysis in corresponding groups of NSCLC patients was conducted by Cox proportional hazards regression model.
The in silico analysis of miR-33a expression in NSCLC resulted to its down-regulation in different tumor types. The expression level of miR-33a was lower in each grade of NSCLC tumor biopsies than in normal lung tissues. Univariate and multivariate survival analysis further established that low miR-33a expression was an important risk factor for overall survival and disease free survival in NSCLC patients.
Our study implied that miR-33a expression levels may have an essential role in NSCLC progression, and could act as a specific and sensitive biomarker for NSCLC patients who have undergone adjuvant chemotherapy.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0170431</identifier><identifier>PMID: 28141816</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adjuvant chemotherapy ; Biology and life sciences ; Biomarkers ; Biomarkers, Tumor - metabolism ; Bone cancer ; Breast cancer ; Cancer ; Cancer therapies ; Carcinoma, Non-Small-Cell Lung - diagnosis ; Carcinoma, Non-Small-Cell Lung - drug therapy ; Carcinoma, Non-Small-Cell Lung - genetics ; Care and treatment ; Chemotherapy ; Chemotherapy, Adjuvant ; Computer Simulation ; Databases, Genetic ; Demography ; Diagnosis ; Female ; Gastric cancer ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes ; Genetic aspects ; Genomics ; Hazards ; Health aspects ; Health risks ; Hospitals ; Humans ; Lung cancer ; Lung diseases ; Lung Neoplasms - diagnosis ; Lung Neoplasms - drug therapy ; Lung Neoplasms - genetics ; Male ; Medical diagnosis ; Medical prognosis ; Medical research ; Medicine and Health Sciences ; Metastasis ; MicroRNA ; MicroRNAs ; MicroRNAs - genetics ; MicroRNAs - metabolism ; Middle Aged ; miRNA ; Non-small cell lung cancer ; Non-small cell lung carcinoma ; Nuclear medicine ; Oncology ; Pathology ; Patient outcomes ; Patients ; Physicians ; Physiological aspects ; Polymerase chain reaction ; Prognosis ; Proportional Hazards Models ; Radiation therapy ; Real-Time Polymerase Chain Reaction ; Regression analysis ; Regression models ; Ribonucleic acid ; Risk factors ; RNA ; Signal transduction ; Stomach cancer ; Survival ; Survival Analysis ; Tissues ; Veterinary medicine</subject><ispartof>PloS one, 2017-01, Vol.12 (1), p.e0170431-e0170431</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Hou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://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>2017 Hou et al 2017 Hou et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-658a3f4c7c77d1b42e4c2972ded89f8e7d9f0999311a7f30ac3f7481c89337053</citedby><cites>FETCH-LOGICAL-c725t-658a3f4c7c77d1b42e4c2972ded89f8e7d9f0999311a7f30ac3f7481c89337053</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1863195677/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1863195677?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28141816$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Coleman, William B.</contributor><creatorcontrib>Hou, Li-Kun</creatorcontrib><creatorcontrib>Ma, Yu-Shui</creatorcontrib><creatorcontrib>Han, Yang</creatorcontrib><creatorcontrib>Lu, Gai-Xia</creatorcontrib><creatorcontrib>Luo, Pei</creatorcontrib><creatorcontrib>Chang, Zheng-Yan</creatorcontrib><creatorcontrib>Xie, Ru-Ting</creatorcontrib><creatorcontrib>Yang, Hui-Qiong</creatorcontrib><creatorcontrib>Chai, Li</creatorcontrib><creatorcontrib>Cai, Ming-Xiang</creatorcontrib><creatorcontrib>Wu, Ting-Miao</creatorcontrib><creatorcontrib>Yu, Fei</creatorcontrib><creatorcontrib>Qin, Shan-Shan</creatorcontrib><creatorcontrib>Lv, Zhong-Wei</creatorcontrib><creatorcontrib>Wu, Chun-Yan</creatorcontrib><creatorcontrib>Fu, Da</creatorcontrib><title>Association of microRNA-33a Molecular Signature with Non-Small Cell Lung Cancer Diagnosis and Prognosis after Chemotherapy</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>This study aims to explore the expression pattern and prognostic significance of miR-33a in non-small cell lung cancer (NSCLC) treated with adjuvant chemotherapy.
MiR-33aexpression in NSCLC was analyzed in silico using the GEO database and was subsequently confirmed by quantitative RT-PCR in 147 NSCLC biopsies. Among these, 32 of these biopsies were paired with adjacent non-neoplastic tissues. The survival analysis of NSCLC by Kaplan-Meier estimates was stratified based on miR-33a expression. In addition, multivariate survival analysis in corresponding groups of NSCLC patients was conducted by Cox proportional hazards regression model.
The in silico analysis of miR-33a expression in NSCLC resulted to its down-regulation in different tumor types. The expression level of miR-33a was lower in each grade of NSCLC tumor biopsies than in normal lung tissues. Univariate and multivariate survival analysis further established that low miR-33a expression was an important risk factor for overall survival and disease free survival in NSCLC patients.
Our study implied that miR-33a expression levels may have an essential role in NSCLC progression, and could act as a specific and sensitive biomarker for NSCLC patients who have undergone adjuvant chemotherapy.</description><subject>Adjuvant chemotherapy</subject><subject>Biology and life sciences</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Bone cancer</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Carcinoma, Non-Small-Cell Lung - diagnosis</subject><subject>Carcinoma, Non-Small-Cell Lung - drug therapy</subject><subject>Carcinoma, Non-Small-Cell Lung - genetics</subject><subject>Care and treatment</subject><subject>Chemotherapy</subject><subject>Chemotherapy, Adjuvant</subject><subject>Computer Simulation</subject><subject>Databases, Genetic</subject><subject>Demography</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Gastric cancer</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genomics</subject><subject>Hazards</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Lung cancer</subject><subject>Lung diseases</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Lung Neoplasms - drug therapy</subject><subject>Lung Neoplasms - genetics</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Metastasis</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>Middle Aged</subject><subject>miRNA</subject><subject>Non-small cell lung cancer</subject><subject>Non-small cell lung carcinoma</subject><subject>Nuclear medicine</subject><subject>Oncology</subject><subject>Pathology</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Physicians</subject><subject>Physiological aspects</subject><subject>Polymerase chain reaction</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Radiation therapy</subject><subject>Real-Time Polymerase Chain Reaction</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Ribonucleic acid</subject><subject>Risk factors</subject><subject>RNA</subject><subject>Signal transduction</subject><subject>Stomach cancer</subject><subject>Survival</subject><subject>Survival Analysis</subject><subject>Tissues</subject><subject>Veterinary 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of microRNA-33a Molecular Signature with Non-Small Cell Lung Cancer Diagnosis and Prognosis after Chemotherapy</title><author>Hou, Li-Kun ; Ma, Yu-Shui ; Han, Yang ; Lu, Gai-Xia ; Luo, Pei ; Chang, Zheng-Yan ; Xie, Ru-Ting ; Yang, Hui-Qiong ; Chai, Li ; Cai, Ming-Xiang ; Wu, Ting-Miao ; Yu, Fei ; Qin, Shan-Shan ; Lv, Zhong-Wei ; Wu, Chun-Yan ; Fu, Da</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-658a3f4c7c77d1b42e4c2972ded89f8e7d9f0999311a7f30ac3f7481c89337053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adjuvant chemotherapy</topic><topic>Biology and life sciences</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Bone cancer</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Carcinoma, Non-Small-Cell Lung - diagnosis</topic><topic>Carcinoma, Non-Small-Cell Lung - drug 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture 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>Hou, Li-Kun</au><au>Ma, Yu-Shui</au><au>Han, Yang</au><au>Lu, Gai-Xia</au><au>Luo, Pei</au><au>Chang, Zheng-Yan</au><au>Xie, Ru-Ting</au><au>Yang, Hui-Qiong</au><au>Chai, Li</au><au>Cai, Ming-Xiang</au><au>Wu, Ting-Miao</au><au>Yu, Fei</au><au>Qin, Shan-Shan</au><au>Lv, Zhong-Wei</au><au>Wu, Chun-Yan</au><au>Fu, Da</au><au>Coleman, William B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of microRNA-33a Molecular Signature with Non-Small Cell Lung Cancer Diagnosis and Prognosis after Chemotherapy</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-01-31</date><risdate>2017</risdate><volume>12</volume><issue>1</issue><spage>e0170431</spage><epage>e0170431</epage><pages>e0170431-e0170431</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>This study aims to explore the expression pattern and prognostic significance of miR-33a in non-small cell lung cancer (NSCLC) treated with adjuvant chemotherapy.
MiR-33aexpression in NSCLC was analyzed in silico using the GEO database and was subsequently confirmed by quantitative RT-PCR in 147 NSCLC biopsies. Among these, 32 of these biopsies were paired with adjacent non-neoplastic tissues. The survival analysis of NSCLC by Kaplan-Meier estimates was stratified based on miR-33a expression. In addition, multivariate survival analysis in corresponding groups of NSCLC patients was conducted by Cox proportional hazards regression model.
The in silico analysis of miR-33a expression in NSCLC resulted to its down-regulation in different tumor types. The expression level of miR-33a was lower in each grade of NSCLC tumor biopsies than in normal lung tissues. Univariate and multivariate survival analysis further established that low miR-33a expression was an important risk factor for overall survival and disease free survival in NSCLC patients.
Our study implied that miR-33a expression levels may have an essential role in NSCLC progression, and could act as a specific and sensitive biomarker for NSCLC patients who have undergone adjuvant chemotherapy.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28141816</pmid><doi>10.1371/journal.pone.0170431</doi><tpages>e0170431</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2017-01, Vol.12 (1), p.e0170431-e0170431 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1863195677 |
| source | PubMed Central (Open Access); Publicly Available Content Database |
| subjects | Adjuvant chemotherapy Biology and life sciences Biomarkers Biomarkers, Tumor - metabolism Bone cancer Breast cancer Cancer Cancer therapies Carcinoma, Non-Small-Cell Lung - diagnosis Carcinoma, Non-Small-Cell Lung - drug therapy Carcinoma, Non-Small-Cell Lung - genetics Care and treatment Chemotherapy Chemotherapy, Adjuvant Computer Simulation Databases, Genetic Demography Diagnosis Female Gastric cancer Gene Expression Profiling Gene Expression Regulation, Neoplastic Genes Genetic aspects Genomics Hazards Health aspects Health risks Hospitals Humans Lung cancer Lung diseases Lung Neoplasms - diagnosis Lung Neoplasms - drug therapy Lung Neoplasms - genetics Male Medical diagnosis Medical prognosis Medical research Medicine and Health Sciences Metastasis MicroRNA MicroRNAs MicroRNAs - genetics MicroRNAs - metabolism Middle Aged miRNA Non-small cell lung cancer Non-small cell lung carcinoma Nuclear medicine Oncology Pathology Patient outcomes Patients Physicians Physiological aspects Polymerase chain reaction Prognosis Proportional Hazards Models Radiation therapy Real-Time Polymerase Chain Reaction Regression analysis Regression models Ribonucleic acid Risk factors RNA Signal transduction Stomach cancer Survival Survival Analysis Tissues Veterinary medicine |
| title | Association of microRNA-33a Molecular Signature with Non-Small Cell Lung Cancer Diagnosis and Prognosis after Chemotherapy |
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