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A seven long-noncoding RNA signature predicts prognosis of lung squamous cell carcinoma
This study profiled differentially expressed long noncoding RNAs (lncRNAs) in lung squamous cell carcinoma (LSCC) to predict LSCC overall survival (OS) using The Cancer Genome Atlas data. The RNA-seq and clinical dataset of 475 LSCC patients was retrieved from The Cancer Genome Atlas database and st...
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| Published in: | Biomarkers in medicine 2020-01, Vol.14 (1), p.53-63 |
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| cites | cdi_FETCH-LOGICAL-c371t-18e978ed7bfd6733cd921ee12be1df28655309c3d8b8fcf35ccba63339dd23ea3 |
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| container_title | Biomarkers in medicine |
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| creator | Li, Shuai Teng, Yue Yuan, Min-Jie Ma, Ting-Ting Ma, Jian Gao, Xu-Jie |
| description | This study profiled differentially expressed long noncoding RNAs (lncRNAs) in lung squamous cell carcinoma (LSCC) to predict LSCC overall survival (OS) using The Cancer Genome Atlas data.
The RNA-seq and clinical dataset of 475 LSCC patients was retrieved from The Cancer Genome Atlas database and statistically analyzed.
There were 67 upregulated and 32 downregulated lncRNAs in LSCCs and 12 lncRNAs associated with OS. The seven-lncRNA signature was associated with poor OS and RP11-150O12.6 and CTA-384D8.35 were associated with better OS (p < 0.001). The seven lncRNAs-mRNA interaction network analysis showed their association with 187 protein-coding genes for cancer development, cell migration, adhesion, proliferation, apoptosis, angiogenesis and the MAPK signaling pathways.
This seven-lncRNA signature is useful to predict LSCC OS. |
| doi_str_mv | 10.2217/bmm-2019-0282 |
| format | article |
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The RNA-seq and clinical dataset of 475 LSCC patients was retrieved from The Cancer Genome Atlas database and statistically analyzed.
There were 67 upregulated and 32 downregulated lncRNAs in LSCCs and 12 lncRNAs associated with OS. The seven-lncRNA signature was associated with poor OS and RP11-150O12.6 and CTA-384D8.35 were associated with better OS (p < 0.001). The seven lncRNAs-mRNA interaction network analysis showed their association with 187 protein-coding genes for cancer development, cell migration, adhesion, proliferation, apoptosis, angiogenesis and the MAPK signaling pathways.
This seven-lncRNA signature is useful to predict LSCC OS.</description><identifier>ISSN: 1752-0363</identifier><identifier>EISSN: 1752-0371</identifier><identifier>DOI: 10.2217/bmm-2019-0282</identifier><identifier>PMID: 31729251</identifier><language>eng</language><publisher>England: Future Medicine Ltd</publisher><subject>Angiogenesis ; Apoptosis ; biomarker ; Biomarkers ; Biomarkers, Tumor - genetics ; Biomarkers, Tumor - metabolism ; Carcinoma, Squamous Cell - genetics ; Carcinoma, Squamous Cell - metabolism ; Carcinoma, Squamous Cell - pathology ; Cell migration ; Data analysis ; Datasets ; Female ; Follow-Up Studies ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; gene signature ; Genomes ; Humans ; lncRNA ; Lung cancer ; Lung carcinoma ; Lung Neoplasms - genetics ; Lung Neoplasms - metabolism ; Lung Neoplasms - pathology ; lung SCC ; Male ; MAP kinase ; Medical prognosis ; Middle Aged ; mRNA ; Prognosis ; Proteins ; Regression analysis ; RNA, Long Noncoding - genetics ; RNA, Long Noncoding - metabolism ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Squamous cell carcinoma ; Survival analysis ; Survival Rate</subject><ispartof>Biomarkers in medicine, 2020-01, Vol.14 (1), p.53-63</ispartof><rights>2019 Future Medicine Ltd</rights><rights>Copyright Future Medicine Ltd Jan 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-18e978ed7bfd6733cd921ee12be1df28655309c3d8b8fcf35ccba63339dd23ea3</citedby><cites>FETCH-LOGICAL-c371t-18e978ed7bfd6733cd921ee12be1df28655309c3d8b8fcf35ccba63339dd23ea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31729251$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Shuai</creatorcontrib><creatorcontrib>Teng, Yue</creatorcontrib><creatorcontrib>Yuan, Min-Jie</creatorcontrib><creatorcontrib>Ma, Ting-Ting</creatorcontrib><creatorcontrib>Ma, Jian</creatorcontrib><creatorcontrib>Gao, Xu-Jie</creatorcontrib><title>A seven long-noncoding RNA signature predicts prognosis of lung squamous cell carcinoma</title><title>Biomarkers in medicine</title><addtitle>Biomark Med</addtitle><description>This study profiled differentially expressed long noncoding RNAs (lncRNAs) in lung squamous cell carcinoma (LSCC) to predict LSCC overall survival (OS) using The Cancer Genome Atlas data.
The RNA-seq and clinical dataset of 475 LSCC patients was retrieved from The Cancer Genome Atlas database and statistically analyzed.
There were 67 upregulated and 32 downregulated lncRNAs in LSCCs and 12 lncRNAs associated with OS. The seven-lncRNA signature was associated with poor OS and RP11-150O12.6 and CTA-384D8.35 were associated with better OS (p < 0.001). The seven lncRNAs-mRNA interaction network analysis showed their association with 187 protein-coding genes for cancer development, cell migration, adhesion, proliferation, apoptosis, angiogenesis and the MAPK signaling pathways.
This seven-lncRNA signature is useful to predict LSCC OS.</description><subject>Angiogenesis</subject><subject>Apoptosis</subject><subject>biomarker</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Carcinoma, Squamous Cell - genetics</subject><subject>Carcinoma, Squamous Cell - metabolism</subject><subject>Carcinoma, Squamous Cell - pathology</subject><subject>Cell migration</subject><subject>Data analysis</subject><subject>Datasets</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>gene signature</subject><subject>Genomes</subject><subject>Humans</subject><subject>lncRNA</subject><subject>Lung cancer</subject><subject>Lung carcinoma</subject><subject>Lung Neoplasms - genetics</subject><subject>Lung Neoplasms - metabolism</subject><subject>Lung Neoplasms - pathology</subject><subject>lung SCC</subject><subject>Male</subject><subject>MAP kinase</subject><subject>Medical prognosis</subject><subject>Middle Aged</subject><subject>mRNA</subject><subject>Prognosis</subject><subject>Proteins</subject><subject>Regression analysis</subject><subject>RNA, Long Noncoding - genetics</subject><subject>RNA, Long Noncoding - metabolism</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Squamous cell carcinoma</subject><subject>Survival analysis</subject><subject>Survival Rate</subject><issn>1752-0363</issn><issn>1752-0371</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LxDAQhoMo7rp69CoFL16q-bBNc1wWv2BREMVjSJNpydImu00r-O9N6epB8DQzzMPLy4PQOcHXlBJ-U7ZtSjERKaYFPUBzwjOaYsbJ4e-esxk6CWGDccZ5To_RjBFOBc3IHH0skwCf4JLGuzp13mlvrKuT1-f4sLVT_dBBsu3AWN2HuPja-WBD4qukGSIYdoNq_RASDU2TaNVp63yrTtFRpZoAZ_u5QO_3d2-rx3T98vC0Wq5THSv2KSlA8AIMLyuTc8a0EZQAEFoCMRUt8ixjWGhmirKodMUyrUuVM8aEMZSBYgt0NeXGZrsBQi9bG8YqykFsJSkjGRbZLSYRvfyDbvzQudguUkzkDONcRCqdKN35EDqo5Lazreq-JMFyNC6jcTkal6PxyF_sU4eyBfNL_yiOgJiAahhdBm3BaZDT1Y5erYN_wr8BLqKP5Q</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Li, Shuai</creator><creator>Teng, Yue</creator><creator>Yuan, Min-Jie</creator><creator>Ma, Ting-Ting</creator><creator>Ma, Jian</creator><creator>Gao, Xu-Jie</creator><general>Future Medicine Ltd</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>EHMNL</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20200101</creationdate><title>A seven long-noncoding RNA signature predicts prognosis of lung squamous cell carcinoma</title><author>Li, Shuai ; Teng, Yue ; Yuan, Min-Jie ; Ma, Ting-Ting ; Ma, Jian ; Gao, Xu-Jie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-18e978ed7bfd6733cd921ee12be1df28655309c3d8b8fcf35ccba63339dd23ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Angiogenesis</topic><topic>Apoptosis</topic><topic>biomarker</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Carcinoma, Squamous Cell - genetics</topic><topic>Carcinoma, Squamous Cell - metabolism</topic><topic>Carcinoma, Squamous Cell - pathology</topic><topic>Cell migration</topic><topic>Data analysis</topic><topic>Datasets</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>gene signature</topic><topic>Genomes</topic><topic>Humans</topic><topic>lncRNA</topic><topic>Lung cancer</topic><topic>Lung carcinoma</topic><topic>Lung Neoplasms - genetics</topic><topic>Lung Neoplasms - metabolism</topic><topic>Lung Neoplasms - pathology</topic><topic>lung SCC</topic><topic>Male</topic><topic>MAP kinase</topic><topic>Medical prognosis</topic><topic>Middle Aged</topic><topic>mRNA</topic><topic>Prognosis</topic><topic>Proteins</topic><topic>Regression analysis</topic><topic>RNA, Long Noncoding - genetics</topic><topic>RNA, Long Noncoding - metabolism</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>Squamous cell carcinoma</topic><topic>Survival analysis</topic><topic>Survival Rate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Shuai</creatorcontrib><creatorcontrib>Teng, Yue</creatorcontrib><creatorcontrib>Yuan, Min-Jie</creatorcontrib><creatorcontrib>Ma, Ting-Ting</creatorcontrib><creatorcontrib>Ma, Jian</creatorcontrib><creatorcontrib>Gao, Xu-Jie</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest 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>ProQuest SciTech 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>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>UK & Ireland Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</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>MEDLINE - Academic</collection><jtitle>Biomarkers in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Shuai</au><au>Teng, Yue</au><au>Yuan, Min-Jie</au><au>Ma, Ting-Ting</au><au>Ma, Jian</au><au>Gao, Xu-Jie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A seven long-noncoding RNA signature predicts prognosis of lung squamous cell carcinoma</atitle><jtitle>Biomarkers in medicine</jtitle><addtitle>Biomark Med</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>14</volume><issue>1</issue><spage>53</spage><epage>63</epage><pages>53-63</pages><issn>1752-0363</issn><eissn>1752-0371</eissn><abstract>This study profiled differentially expressed long noncoding RNAs (lncRNAs) in lung squamous cell carcinoma (LSCC) to predict LSCC overall survival (OS) using The Cancer Genome Atlas data.
The RNA-seq and clinical dataset of 475 LSCC patients was retrieved from The Cancer Genome Atlas database and statistically analyzed.
There were 67 upregulated and 32 downregulated lncRNAs in LSCCs and 12 lncRNAs associated with OS. The seven-lncRNA signature was associated with poor OS and RP11-150O12.6 and CTA-384D8.35 were associated with better OS (p < 0.001). The seven lncRNAs-mRNA interaction network analysis showed their association with 187 protein-coding genes for cancer development, cell migration, adhesion, proliferation, apoptosis, angiogenesis and the MAPK signaling pathways.
This seven-lncRNA signature is useful to predict LSCC OS.</abstract><cop>England</cop><pub>Future Medicine Ltd</pub><pmid>31729251</pmid><doi>10.2217/bmm-2019-0282</doi><tpages>11</tpages></addata></record> |
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| subjects | Angiogenesis Apoptosis biomarker Biomarkers Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Carcinoma, Squamous Cell - genetics Carcinoma, Squamous Cell - metabolism Carcinoma, Squamous Cell - pathology Cell migration Data analysis Datasets Female Follow-Up Studies Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic gene signature Genomes Humans lncRNA Lung cancer Lung carcinoma Lung Neoplasms - genetics Lung Neoplasms - metabolism Lung Neoplasms - pathology lung SCC Male MAP kinase Medical prognosis Middle Aged mRNA Prognosis Proteins Regression analysis RNA, Long Noncoding - genetics RNA, Long Noncoding - metabolism RNA, Messenger - genetics RNA, Messenger - metabolism Squamous cell carcinoma Survival analysis Survival Rate |
| title | A seven long-noncoding RNA signature predicts prognosis of lung squamous cell carcinoma |
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