A meta-analysis of microRNA expression in liver cancer
MicroRNA (miRNA) played an important role in the progression of liver cancer and its diagnostic and prognostic values have been frequently studied. However, different microarray techniques and small sample size led to inconsistent findings in previous studies. We performed a comprehensive meta-analy...
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| Veröffentlicht in: | PloS one 2014-12, Vol.9 (12), p.e114533-e114533 |
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| creator | Yang, Jingcheng Han, Shuai Huang, Wenwen Chen, Ting Liu, Yang Pan, Shangling Li, Shikang |
| description | MicroRNA (miRNA) played an important role in the progression of liver cancer and its diagnostic and prognostic values have been frequently studied. However, different microarray techniques and small sample size led to inconsistent findings in previous studies. We performed a comprehensive meta-analysis of a total of 357 tumor and 283 noncancerous samples from 12 published miRNA expression studies using robust rank aggregation method. As a result, we identified a statistically significant meta-signature of five upregulated (miR-221, miR-222, miR-93, miR-21 and miR-224) and four downregulated (miR-130a, miR-195, miR-199a and miR-375) miRNAs. We then conducted miRNA target prediction and pathway enrichment analysis to find what biological process these miRNAs might affect. We found that most of the pathways were frequently associated with cell signaling and cancer pathogenesis. Thus these miRNAs may involve in the onset and progression of liver cancer and serve as potential diagnostic and therapeutic targets of this malignancy. |
| doi_str_mv | 10.1371/journal.pone.0114533 |
| format | Article |
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However, different microarray techniques and small sample size led to inconsistent findings in previous studies. We performed a comprehensive meta-analysis of a total of 357 tumor and 283 noncancerous samples from 12 published miRNA expression studies using robust rank aggregation method. As a result, we identified a statistically significant meta-signature of five upregulated (miR-221, miR-222, miR-93, miR-21 and miR-224) and four downregulated (miR-130a, miR-195, miR-199a and miR-375) miRNAs. We then conducted miRNA target prediction and pathway enrichment analysis to find what biological process these miRNAs might affect. We found that most of the pathways were frequently associated with cell signaling and cancer pathogenesis. Thus these miRNAs may involve in the onset and progression of liver cancer and serve as potential diagnostic and therapeutic targets of this malignancy.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0114533</identifier><identifier>PMID: 25490558</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biological activity ; Biology and life sciences ; Cancer ; Cluster Analysis ; Development and progression ; Diagnostic systems ; Gene Expression Profiling ; Humans ; Liver ; Liver cancer ; Liver Neoplasms - genetics ; Malignancy ; Medical diagnosis ; Medicine and Health Sciences ; Meta-analysis ; MicroRNA ; MicroRNAs - genetics ; miRNA ; Pathogenesis ; Ribonucleic acid ; RNA ; Statistical analysis ; Statistical methods ; Therapeutic applications</subject><ispartof>PloS one, 2014-12, Vol.9 (12), p.e114533-e114533</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Yang 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>2014 Yang et al 2014 Yang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-39a40d7b7b8b4b715d0e9a2cf338ba26e7c6f82c5d4582ef9feedc05c0b699593</citedby><cites>FETCH-LOGICAL-c692t-39a40d7b7b8b4b715d0e9a2cf338ba26e7c6f82c5d4582ef9feedc05c0b699593</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/PMC4260848/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260848/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23868,27926,27927,53793,53795</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25490558$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chemin, Isabelle A.</contributor><creatorcontrib>Yang, Jingcheng</creatorcontrib><creatorcontrib>Han, Shuai</creatorcontrib><creatorcontrib>Huang, Wenwen</creatorcontrib><creatorcontrib>Chen, Ting</creatorcontrib><creatorcontrib>Liu, Yang</creatorcontrib><creatorcontrib>Pan, Shangling</creatorcontrib><creatorcontrib>Li, Shikang</creatorcontrib><title>A meta-analysis of microRNA expression in liver cancer</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>MicroRNA (miRNA) played an important role in the progression of liver cancer and its diagnostic and prognostic values have been frequently studied. However, different microarray techniques and small sample size led to inconsistent findings in previous studies. We performed a comprehensive meta-analysis of a total of 357 tumor and 283 noncancerous samples from 12 published miRNA expression studies using robust rank aggregation method. As a result, we identified a statistically significant meta-signature of five upregulated (miR-221, miR-222, miR-93, miR-21 and miR-224) and four downregulated (miR-130a, miR-195, miR-199a and miR-375) miRNAs. We then conducted miRNA target prediction and pathway enrichment analysis to find what biological process these miRNAs might affect. We found that most of the pathways were frequently associated with cell signaling and cancer pathogenesis. Thus these miRNAs may involve in the onset and progression of liver cancer and serve as potential diagnostic and therapeutic targets of this malignancy.</description><subject>Biological activity</subject><subject>Biology and life sciences</subject><subject>Cancer</subject><subject>Cluster Analysis</subject><subject>Development and progression</subject><subject>Diagnostic systems</subject><subject>Gene Expression Profiling</subject><subject>Humans</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Liver Neoplasms - genetics</subject><subject>Malignancy</subject><subject>Medical diagnosis</subject><subject>Medicine and Health Sciences</subject><subject>Meta-analysis</subject><subject>MicroRNA</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>Pathogenesis</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Therapeutic applications</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</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>eNqNkk1r3DAQhk1padK0_6C0hkJpD95K1oelS2EJabsQGkg_rkKWx7tabGsj2SH595GzTliXHIoOEqNn3pmR3iR5i9ECkwJ_2brBd7pZ7FwHC4QxZYQ8S46xJHnGc0SeH5yPklchbBFiRHD-MjnKGZWIMXGc8GXaQq8zHaVugw2pq9PWGu8ufy5TuNl5CMG6LrVd2thr8KnRnQH_OnlR6ybAm2k_Sf58O_t9-iM7v_i-Ol2eZ4bLvM-I1BRVRVmUoqRlgVmFQOrc1ISIUuccCsNrkRtWUSZyqGUNUBnEDCq5lEySk-T9XnfXuKCmkYPCnDCEEBEsEqs9UTm9VTtvW-1vldNW3QecXyvte2saUBWry1ioIroAylElROyLMSwYCCT4WO3rVG0o29gIdL3XzUx0ftPZjVq7a0VzjgQVUeDTJODd1QChV60NBppGd-CG-74LKSlFI_rhH_Tp6SZqreMAtqtdrGtGUbWkWHAStXCkFk9QcVUQ_zL6o7YxPkv4PEuITA83_VoPIajVr8v_Zy_-ztmPB-wGdNNvgmuGPloozEG6B6PTQvBQPz4yRmq098NrqNHearJ3THt3-EGPSQ9-JndOUPLZ</recordid><startdate>20141209</startdate><enddate>20141209</enddate><creator>Yang, Jingcheng</creator><creator>Han, Shuai</creator><creator>Huang, Wenwen</creator><creator>Chen, Ting</creator><creator>Liu, Yang</creator><creator>Pan, Shangling</creator><creator>Li, Shikang</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>20141209</creationdate><title>A meta-analysis of microRNA expression in liver cancer</title><author>Yang, Jingcheng ; Han, Shuai ; Huang, Wenwen ; Chen, Ting ; Liu, Yang ; Pan, Shangling ; Li, Shikang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-39a40d7b7b8b4b715d0e9a2cf338ba26e7c6f82c5d4582ef9feedc05c0b699593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Biological activity</topic><topic>Biology and life sciences</topic><topic>Cancer</topic><topic>Cluster Analysis</topic><topic>Development and progression</topic><topic>Diagnostic systems</topic><topic>Gene Expression Profiling</topic><topic>Humans</topic><topic>Liver</topic><topic>Liver cancer</topic><topic>Liver Neoplasms - 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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>Yang, Jingcheng</au><au>Han, Shuai</au><au>Huang, Wenwen</au><au>Chen, Ting</au><au>Liu, Yang</au><au>Pan, Shangling</au><au>Li, Shikang</au><au>Chemin, Isabelle A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A meta-analysis of microRNA expression in liver cancer</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-12-09</date><risdate>2014</risdate><volume>9</volume><issue>12</issue><spage>e114533</spage><epage>e114533</epage><pages>e114533-e114533</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>MicroRNA (miRNA) played an important role in the progression of liver cancer and its diagnostic and prognostic values have been frequently studied. However, different microarray techniques and small sample size led to inconsistent findings in previous studies. We performed a comprehensive meta-analysis of a total of 357 tumor and 283 noncancerous samples from 12 published miRNA expression studies using robust rank aggregation method. As a result, we identified a statistically significant meta-signature of five upregulated (miR-221, miR-222, miR-93, miR-21 and miR-224) and four downregulated (miR-130a, miR-195, miR-199a and miR-375) miRNAs. We then conducted miRNA target prediction and pathway enrichment analysis to find what biological process these miRNAs might affect. We found that most of the pathways were frequently associated with cell signaling and cancer pathogenesis. Thus these miRNAs may involve in the onset and progression of liver cancer and serve as potential diagnostic and therapeutic targets of this malignancy.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25490558</pmid><doi>10.1371/journal.pone.0114533</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Biological activity Biology and life sciences Cancer Cluster Analysis Development and progression Diagnostic systems Gene Expression Profiling Humans Liver Liver cancer Liver Neoplasms - genetics Malignancy Medical diagnosis Medicine and Health Sciences Meta-analysis MicroRNA MicroRNAs - genetics miRNA Pathogenesis Ribonucleic acid RNA Statistical analysis Statistical methods Therapeutic applications |
| title | A meta-analysis of microRNA expression in liver cancer |
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