Comprehensive Analysis of Aberrantly Expressed Profiles of lncRNAs and miRNAs with Associated ceRNA Network in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma

Lung cancer (LC) continues to be the leading cause of cancer-related deaths worldwide and the prognosis remains poor worldwide. At present, the long non-coding RNAs (lncRNAs) was considered as a part of competing endogenous RNA (ceRNA) network act as natural microRNA (miRNA) sponges to regulate prot...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Pathology oncology research 2020-07, Vol.26 (3), p.1935-1945
Hauptverfasser: Dong, Ruolan, Liu, Jiawei, Sun, Wei, Ping, Wei
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1945
container_issue 3
container_start_page 1935
container_title Pathology oncology research
container_volume 26
creator Dong, Ruolan
Liu, Jiawei
Sun, Wei
Ping, Wei
description Lung cancer (LC) continues to be the leading cause of cancer-related deaths worldwide and the prognosis remains poor worldwide. At present, the long non-coding RNAs (lncRNAs) was considered as a part of competing endogenous RNA (ceRNA) network act as natural microRNA (miRNA) sponges to regulate protein-coding gene expression. However, functional roles of lncRNA-mediated ceRNAs in LC are insufficiently understood. To classify the specific mechanism of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), we comprehensively compared the expression profiles of mRNAs, lncRNAs and miRNAs obtained from 509 LUAD, 473 LUSC tissues and 49 adjacent non-cancerous lung tissues, based on The Cancer Genome Atlas (TCGA). After screening for differently expressed (DE) mRNAs, DEmiRNAs, DElncRNAs and weighted gene co-expression network analysis (WGCNA) (|log2FC| > 2.0 and an adjusted p value  0.9), as well as 8 different protein-protein interactions. Gene ontology (GO) analysis mainly associated with cell proliferation. KEGG pathway enrichment analyses most partly associated with metabolism pathway and cytokine-cytokine receptor interaction. Finally, the dysregulated lncRNA-miRNA-ceRNA network was constructed based on correlation analyses and a total of 62 dysregulated lncRNAs, 28 DEmRNAs and 18 DEmiRNAs were involved. The most significant lncRNAs included DElncRNAs, LINC00641 and AC004947.2, miRNAs included miR-6860, miR-1285-3p, miR-767-3p and miR-7974, mRNAs included MAP3K3, FGD3 and ATP1B2. Then we analyzed and described the potential characteristics of biological function and pathological roles of the LUAD and LUSC ceRNA co-regulatory network. Our findings revealed ceRNA network will be beneficial for promoting the understanding of lncRNA-mediated ceRNA regulatory mechanisms in the pathogenesis of LUAD and LUSC.
doi_str_mv 10.1007/s12253-019-00780-4
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2333610782</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2414020662</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-6d0bdc721c8d0f3554253813deecff24d79626f3e8a2114e571092a34c16eb0c3</originalsourceid><addsrcrecordid>eNp9kctu1TAQhi0EoqXwAiyQJTZsAr7FSZZRVArSUUFc1paPM2ldEvvUTijnefqiTHNakFiw8njmm39G8xPykrO3nLHqXeZClLJgvCnwW7NCPSLHvJSiEDWrHmMssKSaUh-RZzlfMaR0o5-SI8nrpuaaHZPbLk67BJcQsv8JtA123GefaRxou4WUbJjHPT39hUzO0NPPKQ5-hBUYg_ty3mZqQ08nv4Y3fr6kbc7ReTsj7gDT9Bzmm5h-UB_oZgkXtO0hRGeT8yFOdu1f81-vFzvFJdMOxpF2D8Bz8mSwY4YX9-8J-f7-9Fv3odh8OvvYtZvCyaqcC92zbe8qwV3ds0GWpcLr1Fz2AG4YhOqrRgs9SKit4FxBWXHWCCuV4xq2zMkT8uagu0vxeoE8m8lnh6vYALiVEVJKzfHSAtHX_6BXcUl4PKQUV0wwre8ocaBcijknGMwu-cmmveHM3FloDhYatNCsFhqFTa_upZftBP2flgfPEJAHIGMpXED6O_s_sr8BunOnmQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2414020662</pqid></control><display><type>article</type><title>Comprehensive Analysis of Aberrantly Expressed Profiles of lncRNAs and miRNAs with Associated ceRNA Network in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Dong, Ruolan ; Liu, Jiawei ; Sun, Wei ; Ping, Wei</creator><creatorcontrib>Dong, Ruolan ; Liu, Jiawei ; Sun, Wei ; Ping, Wei</creatorcontrib><description>Lung cancer (LC) continues to be the leading cause of cancer-related deaths worldwide and the prognosis remains poor worldwide. At present, the long non-coding RNAs (lncRNAs) was considered as a part of competing endogenous RNA (ceRNA) network act as natural microRNA (miRNA) sponges to regulate protein-coding gene expression. However, functional roles of lncRNA-mediated ceRNAs in LC are insufficiently understood. To classify the specific mechanism of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), we comprehensively compared the expression profiles of mRNAs, lncRNAs and miRNAs obtained from 509 LUAD, 473 LUSC tissues and 49 adjacent non-cancerous lung tissues, based on The Cancer Genome Atlas (TCGA). After screening for differently expressed (DE) mRNAs, DEmiRNAs, DElncRNAs and weighted gene co-expression network analysis (WGCNA) (|log2FC| &gt; 2.0 and an adjusted p value &lt;0.05), a total of 4478 DEmRNAs, 526 DElncRNAs and 75 DEmiRNAs in LUAD, while 6237 DEmRNAs, 843 DElncRNAs and 117 DEmiRNAs in LUSC were discovered. Interaction (PPI) network analysis was performed to identify 656 nodes and 2987 edges (minimum required interaction score &gt; 0.9), as well as 8 different protein-protein interactions. Gene ontology (GO) analysis mainly associated with cell proliferation. KEGG pathway enrichment analyses most partly associated with metabolism pathway and cytokine-cytokine receptor interaction. Finally, the dysregulated lncRNA-miRNA-ceRNA network was constructed based on correlation analyses and a total of 62 dysregulated lncRNAs, 28 DEmRNAs and 18 DEmiRNAs were involved. The most significant lncRNAs included DElncRNAs, LINC00641 and AC004947.2, miRNAs included miR-6860, miR-1285-3p, miR-767-3p and miR-7974, mRNAs included MAP3K3, FGD3 and ATP1B2. Then we analyzed and described the potential characteristics of biological function and pathological roles of the LUAD and LUSC ceRNA co-regulatory network. Our findings revealed ceRNA network will be beneficial for promoting the understanding of lncRNA-mediated ceRNA regulatory mechanisms in the pathogenesis of LUAD and LUSC.</description><identifier>ISSN: 1219-4956</identifier><identifier>EISSN: 1532-2807</identifier><identifier>DOI: 10.1007/s12253-019-00780-4</identifier><identifier>PMID: 31898160</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Adenocarcinoma ; Adenocarcinoma of Lung - genetics ; Aged ; Biomarkers, Tumor - genetics ; Biomedical and Life Sciences ; Biomedicine ; Cancer ; Cancer Research ; Carcinoma, Squamous Cell - genetics ; Cell proliferation ; Cytokines ; Female ; Gene expression ; Gene Expression Regulation, Neoplastic - genetics ; Gene Regulatory Networks - genetics ; Genomes ; Humans ; Immunology ; Lung cancer ; Lung carcinoma ; Lung Neoplasms - genetics ; Male ; MicroRNAs ; MicroRNAs - genetics ; Middle Aged ; miRNA ; Non-coding RNA ; Oncology ; Original Article ; Pathology ; Protein interaction ; Proteins ; RNA, Long Noncoding - genetics ; Squamous cell carcinoma ; Transcriptome</subject><ispartof>Pathology oncology research, 2020-07, Vol.26 (3), p.1935-1945</ispartof><rights>Arányi Lajos Foundation 2020</rights><rights>Arányi Lajos Foundation 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-6d0bdc721c8d0f3554253813deecff24d79626f3e8a2114e571092a34c16eb0c3</citedby><cites>FETCH-LOGICAL-c375t-6d0bdc721c8d0f3554253813deecff24d79626f3e8a2114e571092a34c16eb0c3</cites><orcidid>0000-0003-0036-0957</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12253-019-00780-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12253-019-00780-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31898160$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dong, Ruolan</creatorcontrib><creatorcontrib>Liu, Jiawei</creatorcontrib><creatorcontrib>Sun, Wei</creatorcontrib><creatorcontrib>Ping, Wei</creatorcontrib><title>Comprehensive Analysis of Aberrantly Expressed Profiles of lncRNAs and miRNAs with Associated ceRNA Network in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma</title><title>Pathology oncology research</title><addtitle>Pathol. Oncol. Res</addtitle><addtitle>Pathol Oncol Res</addtitle><description>Lung cancer (LC) continues to be the leading cause of cancer-related deaths worldwide and the prognosis remains poor worldwide. At present, the long non-coding RNAs (lncRNAs) was considered as a part of competing endogenous RNA (ceRNA) network act as natural microRNA (miRNA) sponges to regulate protein-coding gene expression. However, functional roles of lncRNA-mediated ceRNAs in LC are insufficiently understood. To classify the specific mechanism of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), we comprehensively compared the expression profiles of mRNAs, lncRNAs and miRNAs obtained from 509 LUAD, 473 LUSC tissues and 49 adjacent non-cancerous lung tissues, based on The Cancer Genome Atlas (TCGA). After screening for differently expressed (DE) mRNAs, DEmiRNAs, DElncRNAs and weighted gene co-expression network analysis (WGCNA) (|log2FC| &gt; 2.0 and an adjusted p value &lt;0.05), a total of 4478 DEmRNAs, 526 DElncRNAs and 75 DEmiRNAs in LUAD, while 6237 DEmRNAs, 843 DElncRNAs and 117 DEmiRNAs in LUSC were discovered. Interaction (PPI) network analysis was performed to identify 656 nodes and 2987 edges (minimum required interaction score &gt; 0.9), as well as 8 different protein-protein interactions. Gene ontology (GO) analysis mainly associated with cell proliferation. KEGG pathway enrichment analyses most partly associated with metabolism pathway and cytokine-cytokine receptor interaction. Finally, the dysregulated lncRNA-miRNA-ceRNA network was constructed based on correlation analyses and a total of 62 dysregulated lncRNAs, 28 DEmRNAs and 18 DEmiRNAs were involved. The most significant lncRNAs included DElncRNAs, LINC00641 and AC004947.2, miRNAs included miR-6860, miR-1285-3p, miR-767-3p and miR-7974, mRNAs included MAP3K3, FGD3 and ATP1B2. Then we analyzed and described the potential characteristics of biological function and pathological roles of the LUAD and LUSC ceRNA co-regulatory network. Our findings revealed ceRNA network will be beneficial for promoting the understanding of lncRNA-mediated ceRNA regulatory mechanisms in the pathogenesis of LUAD and LUSC.</description><subject>Adenocarcinoma</subject><subject>Adenocarcinoma of Lung - genetics</subject><subject>Aged</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cancer</subject><subject>Cancer Research</subject><subject>Carcinoma, Squamous Cell - genetics</subject><subject>Cell proliferation</subject><subject>Cytokines</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Neoplastic - genetics</subject><subject>Gene Regulatory Networks - genetics</subject><subject>Genomes</subject><subject>Humans</subject><subject>Immunology</subject><subject>Lung cancer</subject><subject>Lung carcinoma</subject><subject>Lung Neoplasms - genetics</subject><subject>Male</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>Middle Aged</subject><subject>miRNA</subject><subject>Non-coding RNA</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Pathology</subject><subject>Protein interaction</subject><subject>Proteins</subject><subject>RNA, Long Noncoding - genetics</subject><subject>Squamous cell carcinoma</subject><subject>Transcriptome</subject><issn>1219-4956</issn><issn>1532-2807</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kctu1TAQhi0EoqXwAiyQJTZsAr7FSZZRVArSUUFc1paPM2ldEvvUTijnefqiTHNakFiw8njmm39G8xPykrO3nLHqXeZClLJgvCnwW7NCPSLHvJSiEDWrHmMssKSaUh-RZzlfMaR0o5-SI8nrpuaaHZPbLk67BJcQsv8JtA123GefaRxou4WUbJjHPT39hUzO0NPPKQ5-hBUYg_ty3mZqQ08nv4Y3fr6kbc7ReTsj7gDT9Bzmm5h-UB_oZgkXtO0hRGeT8yFOdu1f81-vFzvFJdMOxpF2D8Bz8mSwY4YX9-8J-f7-9Fv3odh8OvvYtZvCyaqcC92zbe8qwV3ds0GWpcLr1Fz2AG4YhOqrRgs9SKit4FxBWXHWCCuV4xq2zMkT8uagu0vxeoE8m8lnh6vYALiVEVJKzfHSAtHX_6BXcUl4PKQUV0wwre8ocaBcijknGMwu-cmmveHM3FloDhYatNCsFhqFTa_upZftBP2flgfPEJAHIGMpXED6O_s_sr8BunOnmQ</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Dong, Ruolan</creator><creator>Liu, Jiawei</creator><creator>Sun, Wei</creator><creator>Ping, Wei</creator><general>Springer Netherlands</general><general>Springer Nature B.V</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>7T5</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0036-0957</orcidid></search><sort><creationdate>20200701</creationdate><title>Comprehensive Analysis of Aberrantly Expressed Profiles of lncRNAs and miRNAs with Associated ceRNA Network in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma</title><author>Dong, Ruolan ; Liu, Jiawei ; Sun, Wei ; Ping, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-6d0bdc721c8d0f3554253813deecff24d79626f3e8a2114e571092a34c16eb0c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adenocarcinoma</topic><topic>Adenocarcinoma of Lung - genetics</topic><topic>Aged</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cancer</topic><topic>Cancer Research</topic><topic>Carcinoma, Squamous Cell - genetics</topic><topic>Cell proliferation</topic><topic>Cytokines</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Neoplastic - genetics</topic><topic>Gene Regulatory Networks - genetics</topic><topic>Genomes</topic><topic>Humans</topic><topic>Immunology</topic><topic>Lung cancer</topic><topic>Lung carcinoma</topic><topic>Lung Neoplasms - genetics</topic><topic>Male</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>Middle Aged</topic><topic>miRNA</topic><topic>Non-coding RNA</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Pathology</topic><topic>Protein interaction</topic><topic>Proteins</topic><topic>RNA, Long Noncoding - genetics</topic><topic>Squamous cell carcinoma</topic><topic>Transcriptome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dong, Ruolan</creatorcontrib><creatorcontrib>Liu, Jiawei</creatorcontrib><creatorcontrib>Sun, Wei</creatorcontrib><creatorcontrib>Ping, Wei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Pathology oncology research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Ruolan</au><au>Liu, Jiawei</au><au>Sun, Wei</au><au>Ping, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comprehensive Analysis of Aberrantly Expressed Profiles of lncRNAs and miRNAs with Associated ceRNA Network in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma</atitle><jtitle>Pathology oncology research</jtitle><stitle>Pathol. Oncol. Res</stitle><addtitle>Pathol Oncol Res</addtitle><date>2020-07-01</date><risdate>2020</risdate><volume>26</volume><issue>3</issue><spage>1935</spage><epage>1945</epage><pages>1935-1945</pages><issn>1219-4956</issn><eissn>1532-2807</eissn><abstract>Lung cancer (LC) continues to be the leading cause of cancer-related deaths worldwide and the prognosis remains poor worldwide. At present, the long non-coding RNAs (lncRNAs) was considered as a part of competing endogenous RNA (ceRNA) network act as natural microRNA (miRNA) sponges to regulate protein-coding gene expression. However, functional roles of lncRNA-mediated ceRNAs in LC are insufficiently understood. To classify the specific mechanism of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), we comprehensively compared the expression profiles of mRNAs, lncRNAs and miRNAs obtained from 509 LUAD, 473 LUSC tissues and 49 adjacent non-cancerous lung tissues, based on The Cancer Genome Atlas (TCGA). After screening for differently expressed (DE) mRNAs, DEmiRNAs, DElncRNAs and weighted gene co-expression network analysis (WGCNA) (|log2FC| &gt; 2.0 and an adjusted p value &lt;0.05), a total of 4478 DEmRNAs, 526 DElncRNAs and 75 DEmiRNAs in LUAD, while 6237 DEmRNAs, 843 DElncRNAs and 117 DEmiRNAs in LUSC were discovered. Interaction (PPI) network analysis was performed to identify 656 nodes and 2987 edges (minimum required interaction score &gt; 0.9), as well as 8 different protein-protein interactions. Gene ontology (GO) analysis mainly associated with cell proliferation. KEGG pathway enrichment analyses most partly associated with metabolism pathway and cytokine-cytokine receptor interaction. Finally, the dysregulated lncRNA-miRNA-ceRNA network was constructed based on correlation analyses and a total of 62 dysregulated lncRNAs, 28 DEmRNAs and 18 DEmiRNAs were involved. The most significant lncRNAs included DElncRNAs, LINC00641 and AC004947.2, miRNAs included miR-6860, miR-1285-3p, miR-767-3p and miR-7974, mRNAs included MAP3K3, FGD3 and ATP1B2. Then we analyzed and described the potential characteristics of biological function and pathological roles of the LUAD and LUSC ceRNA co-regulatory network. Our findings revealed ceRNA network will be beneficial for promoting the understanding of lncRNA-mediated ceRNA regulatory mechanisms in the pathogenesis of LUAD and LUSC.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>31898160</pmid><doi>10.1007/s12253-019-00780-4</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-0036-0957</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1219-4956
ispartof Pathology oncology research, 2020-07, Vol.26 (3), p.1935-1945
issn 1219-4956
1532-2807
language eng
recordid cdi_proquest_miscellaneous_2333610782
source MEDLINE; Springer Nature - Complete Springer Journals
subjects Adenocarcinoma
Adenocarcinoma of Lung - genetics
Aged
Biomarkers, Tumor - genetics
Biomedical and Life Sciences
Biomedicine
Cancer
Cancer Research
Carcinoma, Squamous Cell - genetics
Cell proliferation
Cytokines
Female
Gene expression
Gene Expression Regulation, Neoplastic - genetics
Gene Regulatory Networks - genetics
Genomes
Humans
Immunology
Lung cancer
Lung carcinoma
Lung Neoplasms - genetics
Male
MicroRNAs
MicroRNAs - genetics
Middle Aged
miRNA
Non-coding RNA
Oncology
Original Article
Pathology
Protein interaction
Proteins
RNA, Long Noncoding - genetics
Squamous cell carcinoma
Transcriptome
title Comprehensive Analysis of Aberrantly Expressed Profiles of lncRNAs and miRNAs with Associated ceRNA Network in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T11%3A51%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comprehensive%20Analysis%20of%20Aberrantly%20Expressed%20Profiles%20of%20lncRNAs%20and%20miRNAs%20with%20Associated%20ceRNA%20Network%20in%20Lung%20Adenocarcinoma%20and%20Lung%20Squamous%20Cell%20Carcinoma&rft.jtitle=Pathology%20oncology%20research&rft.au=Dong,%20Ruolan&rft.date=2020-07-01&rft.volume=26&rft.issue=3&rft.spage=1935&rft.epage=1945&rft.pages=1935-1945&rft.issn=1219-4956&rft.eissn=1532-2807&rft_id=info:doi/10.1007/s12253-019-00780-4&rft_dat=%3Cproquest_cross%3E2414020662%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2414020662&rft_id=info:pmid/31898160&rfr_iscdi=true