Expression profile analysis of microRNAs in prostate cancer by next-generation sequencing
BACKGROUND Prostate cancer (PCa) is the second leading cause of tumor mortality among males in western societies. In China, the diagnostic and fatality rate of PCa is increasing yearly. METHODS To characterize underlying molecular mechanisms, the microRNA (miRNA) profile of high‐grade PCa, low‐grade...
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| Veröffentlicht in: | The Prostate 2015-04, Vol.75 (5), p.500-516 |
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| creator | Song, Chunjiao Chen, Huan Wang, Tingzhang Zhang, Weiguang Ru, Guomei Lang, Juan |
| description | BACKGROUND
Prostate cancer (PCa) is the second leading cause of tumor mortality among males in western societies. In China, the diagnostic and fatality rate of PCa is increasing yearly.
METHODS
To characterize underlying molecular mechanisms, the microRNA (miRNA) profile of high‐grade PCa, low‐grade PCa, and benign prostate hyperplasia (BPH) were compared using high‐throughput Illumina sequencing and quantitative real‐time PCR (qRT‐PCR) methods. Moreover, a variety of biological information softwares and databases were applied to predict the target genes of miRNA, molecular functions, and signal pathways.
RESULTS
Eighteen miRNAs were differentially expressed (fold change ≥2, P |
| doi_str_mv | 10.1002/pros.22936 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1668247843</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3594181571</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5646-aaa79052c052e75f6a8a52af4587fb9a499d4d89d5ce198ad28ec61cff054ad23</originalsourceid><addsrcrecordid>eNqNkV1rFDEUhoNY7Fq98QfIgDciTM13Jpel1CqUdu0H6lXIZk5K6uzMNmcWd_-92d22F14UL0IIPOfJ4X0JecfoIaOUf17kAQ85t0K_IBNGrakpleolmVBuaC2ZMPvkNeIdpQWn_BXZ50pZoxmfkF8nq0UGxDT0VfHE1EHle9-tMWE1xGqeQh4uz4-wSlsARz9CFXwfIFezddXDaqxvoYfsx40D4X4JfUj97RuyF32H8PbhPiA3X06uj7_WZxen346PzuqgtNS1995YqngoB4yK2jdecR-lakycWS-tbWXb2FYFYLbxLW8gaBZipEqWlzggH3fesl35G0c3Txig63wPwxId07rh0jRS_AeqjOBcCFbQD_-gd8Myl2C2lDLUNEIW6tOOKiEhZohukdPc57Vj1G26cZvI3LabAr9_UC5nc2if0McyCsB2wJ_SwvoZlZteXlw9SuvdTMIRVk8zPv922gij3I_zU8e_059XbKrcVPwFezao1Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1655707834</pqid></control><display><type>article</type><title>Expression profile analysis of microRNAs in prostate cancer by next-generation sequencing</title><source>Wiley Online Library - AutoHoldings Journals</source><source>MEDLINE</source><creator>Song, Chunjiao ; Chen, Huan ; Wang, Tingzhang ; Zhang, Weiguang ; Ru, Guomei ; Lang, Juan</creator><creatorcontrib>Song, Chunjiao ; Chen, Huan ; Wang, Tingzhang ; Zhang, Weiguang ; Ru, Guomei ; Lang, Juan</creatorcontrib><description>BACKGROUND
Prostate cancer (PCa) is the second leading cause of tumor mortality among males in western societies. In China, the diagnostic and fatality rate of PCa is increasing yearly.
METHODS
To characterize underlying molecular mechanisms, the microRNA (miRNA) profile of high‐grade PCa, low‐grade PCa, and benign prostate hyperplasia (BPH) were compared using high‐throughput Illumina sequencing and quantitative real‐time PCR (qRT‐PCR) methods. Moreover, a variety of biological information softwares and databases were applied to predict the target genes of miRNA, molecular functions, and signal pathways.
RESULTS
Eighteen miRNAs were differentially expressed (fold change ≥2, P < 0.05), of which thirteen were upregulated and five were downregulated by sequencing. This was confirmed by qRT‐PCR in more clinical tissue samples. In the tumors, miRNAs (miR‐125b‐5p, miR‐126‐5p, miR‐151a‐5p, miR‐221‐3p, and miR‐222‐3p) were significantly upregulated with downregulation of miR‐486‐5p. In addition, 13 novel miRNAs were identified from three prostate tissue libraries, with 12 of them assayed in 21 human normal tissues by qRT‐PCR. Multiple databases indicated target genes for these differentially expressed miRNAs. Function annotation of target genes indicated that most of them tend to target genes involved in signal transduction and cell communication, especially cancer‐related PI3K‐Akt and p53 signaling pathway.
CONCLUSIONS
The small RNA transcriptomes obtained in this study uncovers six differentially expressed miRNAs and 12 novel miRNAs, and provides a better understanding of the expression and function of miRNAs in the development of PCa and reveals several miRNAs in PCa that may have biomarker and therapeutic potentials. Prostate 75: 500–516, 2015. © 2015 Wiley Periodicals, Inc.</description><identifier>ISSN: 0270-4137</identifier><identifier>EISSN: 1097-0045</identifier><identifier>DOI: 10.1002/pros.22936</identifier><identifier>PMID: 25597612</identifier><identifier>CODEN: PRSTDS</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Aged ; Aged, 80 and over ; China ; Computational Biology ; Gene Expression Profiling ; Genes ; High-Throughput Nucleotide Sequencing ; Humans ; Male ; Medical research ; microRNA ; MicroRNAs - genetics ; Middle Aged ; next-generation sequencing ; pathway enrichment analysis ; Prostate cancer ; Prostatic Neoplasms - genetics ; Real-Time Polymerase Chain Reaction ; Rodents ; Signal transduction</subject><ispartof>The Prostate, 2015-04, Vol.75 (5), p.500-516</ispartof><rights>2015 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5646-aaa79052c052e75f6a8a52af4587fb9a499d4d89d5ce198ad28ec61cff054ad23</citedby><cites>FETCH-LOGICAL-c5646-aaa79052c052e75f6a8a52af4587fb9a499d4d89d5ce198ad28ec61cff054ad23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fpros.22936$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fpros.22936$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25597612$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Song, Chunjiao</creatorcontrib><creatorcontrib>Chen, Huan</creatorcontrib><creatorcontrib>Wang, Tingzhang</creatorcontrib><creatorcontrib>Zhang, Weiguang</creatorcontrib><creatorcontrib>Ru, Guomei</creatorcontrib><creatorcontrib>Lang, Juan</creatorcontrib><title>Expression profile analysis of microRNAs in prostate cancer by next-generation sequencing</title><title>The Prostate</title><addtitle>Prostate</addtitle><description>BACKGROUND
Prostate cancer (PCa) is the second leading cause of tumor mortality among males in western societies. In China, the diagnostic and fatality rate of PCa is increasing yearly.
METHODS
To characterize underlying molecular mechanisms, the microRNA (miRNA) profile of high‐grade PCa, low‐grade PCa, and benign prostate hyperplasia (BPH) were compared using high‐throughput Illumina sequencing and quantitative real‐time PCR (qRT‐PCR) methods. Moreover, a variety of biological information softwares and databases were applied to predict the target genes of miRNA, molecular functions, and signal pathways.
RESULTS
Eighteen miRNAs were differentially expressed (fold change ≥2, P < 0.05), of which thirteen were upregulated and five were downregulated by sequencing. This was confirmed by qRT‐PCR in more clinical tissue samples. In the tumors, miRNAs (miR‐125b‐5p, miR‐126‐5p, miR‐151a‐5p, miR‐221‐3p, and miR‐222‐3p) were significantly upregulated with downregulation of miR‐486‐5p. In addition, 13 novel miRNAs were identified from three prostate tissue libraries, with 12 of them assayed in 21 human normal tissues by qRT‐PCR. Multiple databases indicated target genes for these differentially expressed miRNAs. Function annotation of target genes indicated that most of them tend to target genes involved in signal transduction and cell communication, especially cancer‐related PI3K‐Akt and p53 signaling pathway.
CONCLUSIONS
The small RNA transcriptomes obtained in this study uncovers six differentially expressed miRNAs and 12 novel miRNAs, and provides a better understanding of the expression and function of miRNAs in the development of PCa and reveals several miRNAs in PCa that may have biomarker and therapeutic potentials. Prostate 75: 500–516, 2015. © 2015 Wiley Periodicals, Inc.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>China</subject><subject>Computational Biology</subject><subject>Gene Expression Profiling</subject><subject>Genes</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Humans</subject><subject>Male</subject><subject>Medical research</subject><subject>microRNA</subject><subject>MicroRNAs - genetics</subject><subject>Middle Aged</subject><subject>next-generation sequencing</subject><subject>pathway enrichment analysis</subject><subject>Prostate cancer</subject><subject>Prostatic Neoplasms - genetics</subject><subject>Real-Time Polymerase Chain Reaction</subject><subject>Rodents</subject><subject>Signal transduction</subject><issn>0270-4137</issn><issn>1097-0045</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkV1rFDEUhoNY7Fq98QfIgDciTM13Jpel1CqUdu0H6lXIZk5K6uzMNmcWd_-92d22F14UL0IIPOfJ4X0JecfoIaOUf17kAQ85t0K_IBNGrakpleolmVBuaC2ZMPvkNeIdpQWn_BXZ50pZoxmfkF8nq0UGxDT0VfHE1EHle9-tMWE1xGqeQh4uz4-wSlsARz9CFXwfIFezddXDaqxvoYfsx40D4X4JfUj97RuyF32H8PbhPiA3X06uj7_WZxen346PzuqgtNS1995YqngoB4yK2jdecR-lakycWS-tbWXb2FYFYLbxLW8gaBZipEqWlzggH3fesl35G0c3Txig63wPwxId07rh0jRS_AeqjOBcCFbQD_-gd8Myl2C2lDLUNEIW6tOOKiEhZohukdPc57Vj1G26cZvI3LabAr9_UC5nc2if0McyCsB2wJ_SwvoZlZteXlw9SuvdTMIRVk8zPv922gij3I_zU8e_059XbKrcVPwFezao1Q</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Song, Chunjiao</creator><creator>Chen, Huan</creator><creator>Wang, Tingzhang</creator><creator>Zhang, Weiguang</creator><creator>Ru, Guomei</creator><creator>Lang, Juan</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><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>7TO</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>7TM</scope></search><sort><creationdate>20150401</creationdate><title>Expression profile analysis of microRNAs in prostate cancer by next-generation sequencing</title><author>Song, Chunjiao ; Chen, Huan ; Wang, Tingzhang ; Zhang, Weiguang ; Ru, Guomei ; Lang, Juan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5646-aaa79052c052e75f6a8a52af4587fb9a499d4d89d5ce198ad28ec61cff054ad23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>China</topic><topic>Computational Biology</topic><topic>Gene Expression Profiling</topic><topic>Genes</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Humans</topic><topic>Male</topic><topic>Medical research</topic><topic>microRNA</topic><topic>MicroRNAs - genetics</topic><topic>Middle Aged</topic><topic>next-generation sequencing</topic><topic>pathway enrichment analysis</topic><topic>Prostate cancer</topic><topic>Prostatic Neoplasms - genetics</topic><topic>Real-Time Polymerase Chain Reaction</topic><topic>Rodents</topic><topic>Signal transduction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, Chunjiao</creatorcontrib><creatorcontrib>Chen, Huan</creatorcontrib><creatorcontrib>Wang, Tingzhang</creatorcontrib><creatorcontrib>Zhang, Weiguang</creatorcontrib><creatorcontrib>Ru, Guomei</creatorcontrib><creatorcontrib>Lang, Juan</creatorcontrib><collection>Istex</collection><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>Oncogenes and Growth Factors Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Nucleic Acids Abstracts</collection><jtitle>The Prostate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Song, Chunjiao</au><au>Chen, Huan</au><au>Wang, Tingzhang</au><au>Zhang, Weiguang</au><au>Ru, Guomei</au><au>Lang, Juan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Expression profile analysis of microRNAs in prostate cancer by next-generation sequencing</atitle><jtitle>The Prostate</jtitle><addtitle>Prostate</addtitle><date>2015-04-01</date><risdate>2015</risdate><volume>75</volume><issue>5</issue><spage>500</spage><epage>516</epage><pages>500-516</pages><issn>0270-4137</issn><eissn>1097-0045</eissn><coden>PRSTDS</coden><abstract>BACKGROUND
Prostate cancer (PCa) is the second leading cause of tumor mortality among males in western societies. In China, the diagnostic and fatality rate of PCa is increasing yearly.
METHODS
To characterize underlying molecular mechanisms, the microRNA (miRNA) profile of high‐grade PCa, low‐grade PCa, and benign prostate hyperplasia (BPH) were compared using high‐throughput Illumina sequencing and quantitative real‐time PCR (qRT‐PCR) methods. Moreover, a variety of biological information softwares and databases were applied to predict the target genes of miRNA, molecular functions, and signal pathways.
RESULTS
Eighteen miRNAs were differentially expressed (fold change ≥2, P < 0.05), of which thirteen were upregulated and five were downregulated by sequencing. This was confirmed by qRT‐PCR in more clinical tissue samples. In the tumors, miRNAs (miR‐125b‐5p, miR‐126‐5p, miR‐151a‐5p, miR‐221‐3p, and miR‐222‐3p) were significantly upregulated with downregulation of miR‐486‐5p. In addition, 13 novel miRNAs were identified from three prostate tissue libraries, with 12 of them assayed in 21 human normal tissues by qRT‐PCR. Multiple databases indicated target genes for these differentially expressed miRNAs. Function annotation of target genes indicated that most of them tend to target genes involved in signal transduction and cell communication, especially cancer‐related PI3K‐Akt and p53 signaling pathway.
CONCLUSIONS
The small RNA transcriptomes obtained in this study uncovers six differentially expressed miRNAs and 12 novel miRNAs, and provides a better understanding of the expression and function of miRNAs in the development of PCa and reveals several miRNAs in PCa that may have biomarker and therapeutic potentials. Prostate 75: 500–516, 2015. © 2015 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>25597612</pmid><doi>10.1002/pros.22936</doi><tpages>17</tpages></addata></record> |
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| subjects | Aged Aged, 80 and over China Computational Biology Gene Expression Profiling Genes High-Throughput Nucleotide Sequencing Humans Male Medical research microRNA MicroRNAs - genetics Middle Aged next-generation sequencing pathway enrichment analysis Prostate cancer Prostatic Neoplasms - genetics Real-Time Polymerase Chain Reaction Rodents Signal transduction |
| title | Expression profile analysis of microRNAs in prostate cancer by next-generation sequencing |
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