Abnormal expression of mRNA, microRNA alteration and aberrant DNA methylation patterns in rectal adenocarcinoma
Rectal adenocarcinoma (READ) is a malignancy cancer with the high morbidity and motility worldwide. Our study aimed to explore the potential pathogenesis of READ through integrated analysis of gene expression profiling and DNA methylation data. The miRNA, mRNA expression profiling and corresponding...
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description | Rectal adenocarcinoma (READ) is a malignancy cancer with the high morbidity and motility worldwide. Our study aimed to explore the potential pathogenesis of READ through integrated analysis of gene expression profiling and DNA methylation data.
The miRNA, mRNA expression profiling and corresponding DNA methylation data were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNAs/ miRNAs/methylated regions (DEmRNA/DEmiRNAs) were identified in READ. The negatively correlation of DEmiRNA-DEmRNAs and DNA methylation-DEmRNAs were obtained. DEmRNAs expression was validated through quantitative real-time polymerase chain reaction (qRT-PCR) and microarray expression profiling analyses.
1192 dysregulated DEmRNAs, 27 dysregulated DEmiRNAs and 6403 aberrant methylation CpG sites were screened in READ compared to normal controls. 1987 negative interaction pairs among 27 DEmiRNAs and 668 DEmRNAs were predicted. 446 genes with aberrant methylation were annotated. Eventually, 50 DEmRNAs (39 down- and 11 up-regulated DEmRNAs) with hypermethylation, synchronously negatively targeted by DEmiRNAs, were identified through the correlation analysis among 446 genes with aberrant methylation and 668 DEmRNAs. 50 DEmRNAs were significantly enriched in cAMP signaling pathway, circadian entrainment and glutamatergic synapse. The validation results of expression levels of DEmRNAs through qRT-PCR and microarray analyses were compatible with our study.
7 genes of SORCS1, PDZRN4, LONRF2, CNGA3, HAND2, RSPO2 and GNAO1 with hypermethylation and negatively regulation by DEmiRNAs might contribute to the tumorigenesis of READ. Our work might provide valuable foundation for the READ in mechanism elucidation, early diagnosis and therapeutic target identification. |
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The miRNA, mRNA expression profiling and corresponding DNA methylation data were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNAs/ miRNAs/methylated regions (DEmRNA/DEmiRNAs) were identified in READ. The negatively correlation of DEmiRNA-DEmRNAs and DNA methylation-DEmRNAs were obtained. DEmRNAs expression was validated through quantitative real-time polymerase chain reaction (qRT-PCR) and microarray expression profiling analyses.
1192 dysregulated DEmRNAs, 27 dysregulated DEmiRNAs and 6403 aberrant methylation CpG sites were screened in READ compared to normal controls. 1987 negative interaction pairs among 27 DEmiRNAs and 668 DEmRNAs were predicted. 446 genes with aberrant methylation were annotated. Eventually, 50 DEmRNAs (39 down- and 11 up-regulated DEmRNAs) with hypermethylation, synchronously negatively targeted by DEmiRNAs, were identified through the correlation analysis among 446 genes with aberrant methylation and 668 DEmRNAs. 50 DEmRNAs were significantly enriched in cAMP signaling pathway, circadian entrainment and glutamatergic synapse. The validation results of expression levels of DEmRNAs through qRT-PCR and microarray analyses were compatible with our study.
7 genes of SORCS1, PDZRN4, LONRF2, CNGA3, HAND2, RSPO2 and GNAO1 with hypermethylation and negatively regulation by DEmiRNAs might contribute to the tumorigenesis of READ. Our work might provide valuable foundation for the READ in mechanism elucidation, early diagnosis and therapeutic target identification.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0174461</identifier><identifier>PMID: 28350845</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adenocarcinoma - genetics ; Algorithms ; Analysis ; Biology and life sciences ; Biomarkers ; Biomarkers, Tumor - genetics ; Care and treatment ; Cell growth ; Circadian rhythms ; Colorectal cancer ; Colorectal surgery ; Correlation ; Correlation analysis ; CpG Islands - genetics ; Databases, Genetic ; Deoxyribonucleic acid ; Diagnosis ; DNA ; DNA Methylation ; Endocrinology ; Entrainment ; Gastric cancer ; Gene expression ; Gene Expression Profiling - methods ; Gene Expression Regulation, Neoplastic ; Gene Regulatory Networks ; Health aspects ; Humans ; Identification ; Liver cancer ; Medical prognosis ; Medicine and Health Sciences ; Metastasis ; Methylation ; MicroRNA ; MicroRNAs - genetics ; Morbidity ; Mutation ; Rectal Neoplasms - genetics ; Research and Analysis Methods ; Reverse Transcriptase Polymerase Chain Reaction ; Ribonucleic acid ; RNA ; RNA, Messenger - genetics ; Signal Transduction - genetics ; Stomach cancer ; Synapses</subject><ispartof>PloS one, 2017-03, Vol.12 (3), p.e0174461-e0174461</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Hua 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 Hua et al 2017 Hua et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-6ced6c86d3b4191636545f32d198ce6b3bdc38a5f9a5d74f5c78ba8b84df8bab3</citedby><cites>FETCH-LOGICAL-c758t-6ced6c86d3b4191636545f32d198ce6b3bdc38a5f9a5d74f5c78ba8b84df8bab3</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/PMC5370119/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370119/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28350845$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Castresana, Javier S</contributor><creatorcontrib>Hua, Yang</creatorcontrib><creatorcontrib>Ma, Xiukun</creatorcontrib><creatorcontrib>Liu, Xianglong</creatorcontrib><creatorcontrib>Yuan, Xiangfei</creatorcontrib><creatorcontrib>Qin, Hai</creatorcontrib><creatorcontrib>Zhang, Xipeng</creatorcontrib><title>Abnormal expression of mRNA, microRNA alteration and aberrant DNA methylation patterns in rectal adenocarcinoma</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Rectal adenocarcinoma (READ) is a malignancy cancer with the high morbidity and motility worldwide. Our study aimed to explore the potential pathogenesis of READ through integrated analysis of gene expression profiling and DNA methylation data.
The miRNA, mRNA expression profiling and corresponding DNA methylation data were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNAs/ miRNAs/methylated regions (DEmRNA/DEmiRNAs) were identified in READ. The negatively correlation of DEmiRNA-DEmRNAs and DNA methylation-DEmRNAs were obtained. DEmRNAs expression was validated through quantitative real-time polymerase chain reaction (qRT-PCR) and microarray expression profiling analyses.
1192 dysregulated DEmRNAs, 27 dysregulated DEmiRNAs and 6403 aberrant methylation CpG sites were screened in READ compared to normal controls. 1987 negative interaction pairs among 27 DEmiRNAs and 668 DEmRNAs were predicted. 446 genes with aberrant methylation were annotated. Eventually, 50 DEmRNAs (39 down- and 11 up-regulated DEmRNAs) with hypermethylation, synchronously negatively targeted by DEmiRNAs, were identified through the correlation analysis among 446 genes with aberrant methylation and 668 DEmRNAs. 50 DEmRNAs were significantly enriched in cAMP signaling pathway, circadian entrainment and glutamatergic synapse. The validation results of expression levels of DEmRNAs through qRT-PCR and microarray analyses were compatible with our study.
7 genes of SORCS1, PDZRN4, LONRF2, CNGA3, HAND2, RSPO2 and GNAO1 with hypermethylation and negatively regulation by DEmiRNAs might contribute to the tumorigenesis of READ. Our work might provide valuable foundation for the READ in mechanism elucidation, early diagnosis and therapeutic target identification.</description><subject>Adenocarcinoma - genetics</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Biology and life sciences</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Care and treatment</subject><subject>Cell growth</subject><subject>Circadian rhythms</subject><subject>Colorectal cancer</subject><subject>Colorectal surgery</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>CpG Islands - genetics</subject><subject>Databases, Genetic</subject><subject>Deoxyribonucleic acid</subject><subject>Diagnosis</subject><subject>DNA</subject><subject>DNA Methylation</subject><subject>Endocrinology</subject><subject>Entrainment</subject><subject>Gastric cancer</subject><subject>Gene expression</subject><subject>Gene Expression Profiling - methods</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Gene Regulatory Networks</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Identification</subject><subject>Liver cancer</subject><subject>Medical prognosis</subject><subject>Medicine and Health Sciences</subject><subject>Metastasis</subject><subject>Methylation</subject><subject>MicroRNA</subject><subject>MicroRNAs - genetics</subject><subject>Morbidity</subject><subject>Mutation</subject><subject>Rectal Neoplasms - genetics</subject><subject>Research and Analysis Methods</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA, Messenger - genetics</subject><subject>Signal Transduction - genetics</subject><subject>Stomach cancer</subject><subject>Synapses</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1uL1DAUx4so7jr6DUQLgig4Y9MkbfoiDOttYHFhvbyG0-RkpkObzCYd2f32pk53mco-SB5yyPmdf5JzSZLnJFsQWpL3W7f3FtrFzllcZKRkrCAPklNS0Xxe5Bl9eGSfJE9C2GYZp6IoHicnuaA8E4yfJm5ZW-c7aFO83nkMoXE2dSbtLr8t36Vdo7yLVgptjx76wQlWp1Cj92D79GP0ddhvbtqDcwd9BG1IG5t6VH3UBY3WKfCqsa6Dp8kjA23AZ-M-S35-_vTj7Ov8_OLL6mx5PlclF_28UKgLJQpNa0YqUtCCM25orkklFBY1rbWiAripgOuSGa5KUYOoBdMmGjWdJS8PurvWBTnmKkgiRJ4zQXgRidWB0A62cuebDvyNdNDIvwfOryX4vlEtSmNyhjlllRHACCiBZYVME6V4VueliFofxtv2dYdaoe09tBPRqcc2G7l2vyWnZUZimWbJm1HAu6s9hl52TVDYtmDR7Q_vzgSldEBf_YPe_7uRWkP8QGONi_eqQVQumSg5jR3DI7W4h4pLYyx9bCzTxPNJwNtJQGR6vO7XsA9Brr5f_j978WvKvj5iNxj7bRNcux-aKkxBdgBjY4bg0dwlmWRymIvbbMhhLuQ4FzHsxXGB7oJuB4H-AQCdCUw</recordid><startdate>20170328</startdate><enddate>20170328</enddate><creator>Hua, Yang</creator><creator>Ma, Xiukun</creator><creator>Liu, Xianglong</creator><creator>Yuan, Xiangfei</creator><creator>Qin, Hai</creator><creator>Zhang, Xipeng</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>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>20170328</creationdate><title>Abnormal expression of mRNA, microRNA alteration and aberrant DNA methylation patterns in rectal adenocarcinoma</title><author>Hua, Yang ; Ma, Xiukun ; Liu, Xianglong ; Yuan, Xiangfei ; Qin, Hai ; Zhang, Xipeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-6ced6c86d3b4191636545f32d198ce6b3bdc38a5f9a5d74f5c78ba8b84df8bab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adenocarcinoma - genetics</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Biology and life sciences</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Care and treatment</topic><topic>Cell growth</topic><topic>Circadian rhythms</topic><topic>Colorectal cancer</topic><topic>Colorectal surgery</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>CpG Islands - genetics</topic><topic>Databases, Genetic</topic><topic>Deoxyribonucleic acid</topic><topic>Diagnosis</topic><topic>DNA</topic><topic>DNA Methylation</topic><topic>Endocrinology</topic><topic>Entrainment</topic><topic>Gastric cancer</topic><topic>Gene expression</topic><topic>Gene Expression Profiling - methods</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Gene Regulatory Networks</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Identification</topic><topic>Liver cancer</topic><topic>Medical prognosis</topic><topic>Medicine and Health Sciences</topic><topic>Metastasis</topic><topic>Methylation</topic><topic>MicroRNA</topic><topic>MicroRNAs - genetics</topic><topic>Morbidity</topic><topic>Mutation</topic><topic>Rectal Neoplasms - genetics</topic><topic>Research and Analysis Methods</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Messenger - genetics</topic><topic>Signal Transduction - genetics</topic><topic>Stomach cancer</topic><topic>Synapses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hua, Yang</creatorcontrib><creatorcontrib>Ma, Xiukun</creatorcontrib><creatorcontrib>Liu, Xianglong</creatorcontrib><creatorcontrib>Yuan, Xiangfei</creatorcontrib><creatorcontrib>Qin, Hai</creatorcontrib><creatorcontrib>Zhang, Xipeng</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 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 - 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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>Hua, Yang</au><au>Ma, Xiukun</au><au>Liu, Xianglong</au><au>Yuan, Xiangfei</au><au>Qin, Hai</au><au>Zhang, Xipeng</au><au>Castresana, Javier S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Abnormal expression of mRNA, microRNA alteration and aberrant DNA methylation patterns in rectal adenocarcinoma</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-03-28</date><risdate>2017</risdate><volume>12</volume><issue>3</issue><spage>e0174461</spage><epage>e0174461</epage><pages>e0174461-e0174461</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Rectal adenocarcinoma (READ) is a malignancy cancer with the high morbidity and motility worldwide. Our study aimed to explore the potential pathogenesis of READ through integrated analysis of gene expression profiling and DNA methylation data.
The miRNA, mRNA expression profiling and corresponding DNA methylation data were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNAs/ miRNAs/methylated regions (DEmRNA/DEmiRNAs) were identified in READ. The negatively correlation of DEmiRNA-DEmRNAs and DNA methylation-DEmRNAs were obtained. DEmRNAs expression was validated through quantitative real-time polymerase chain reaction (qRT-PCR) and microarray expression profiling analyses.
1192 dysregulated DEmRNAs, 27 dysregulated DEmiRNAs and 6403 aberrant methylation CpG sites were screened in READ compared to normal controls. 1987 negative interaction pairs among 27 DEmiRNAs and 668 DEmRNAs were predicted. 446 genes with aberrant methylation were annotated. Eventually, 50 DEmRNAs (39 down- and 11 up-regulated DEmRNAs) with hypermethylation, synchronously negatively targeted by DEmiRNAs, were identified through the correlation analysis among 446 genes with aberrant methylation and 668 DEmRNAs. 50 DEmRNAs were significantly enriched in cAMP signaling pathway, circadian entrainment and glutamatergic synapse. The validation results of expression levels of DEmRNAs through qRT-PCR and microarray analyses were compatible with our study.
7 genes of SORCS1, PDZRN4, LONRF2, CNGA3, HAND2, RSPO2 and GNAO1 with hypermethylation and negatively regulation by DEmiRNAs might contribute to the tumorigenesis of READ. Our work might provide valuable foundation for the READ in mechanism elucidation, early diagnosis and therapeutic target identification.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28350845</pmid><doi>10.1371/journal.pone.0174461</doi><tpages>e0174461</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adenocarcinoma - genetics Algorithms Analysis Biology and life sciences Biomarkers Biomarkers, Tumor - genetics Care and treatment Cell growth Circadian rhythms Colorectal cancer Colorectal surgery Correlation Correlation analysis CpG Islands - genetics Databases, Genetic Deoxyribonucleic acid Diagnosis DNA DNA Methylation Endocrinology Entrainment Gastric cancer Gene expression Gene Expression Profiling - methods Gene Expression Regulation, Neoplastic Gene Regulatory Networks Health aspects Humans Identification Liver cancer Medical prognosis Medicine and Health Sciences Metastasis Methylation MicroRNA MicroRNAs - genetics Morbidity Mutation Rectal Neoplasms - genetics Research and Analysis Methods Reverse Transcriptase Polymerase Chain Reaction Ribonucleic acid RNA RNA, Messenger - genetics Signal Transduction - genetics Stomach cancer Synapses |
title | Abnormal expression of mRNA, microRNA alteration and aberrant DNA methylation patterns in rectal adenocarcinoma |
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