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MicroRNA-410-5p as a potential serum biomarker for the diagnosis of prostate cancer
Prostate cancer (PCa) remains to be a diagnostic challenge due to its variable presentation and the lack of reliable diagnosis tool. MicroRNAs (miRNAs) regulate gene in extensive range of pathophysiologic processes. Plasma miRNAs are ideal biomarkers in heart failure, diabetes and other disease. How...
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Published in: | Cancer cell international 2016-02, Vol.16 (1), p.12-12, Article 12 |
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creator | Wang, Jiaqi Ye, Huamao Zhang, Dandan Hu, Yijun Yu, Xiya Wang, Long Zuo, Changjing Yu, Yongwei Xu, Guixia Liu, Shanrong |
description | Prostate cancer (PCa) remains to be a diagnostic challenge due to its variable presentation and the lack of reliable diagnosis tool. MicroRNAs (miRNAs) regulate gene in extensive range of pathophysiologic processes. Plasma miRNAs are ideal biomarkers in heart failure, diabetes and other disease. However, using circulating miRNAs as biomarkers for the diagnosis of PCa is still unknown.
149 PCa patients, 57 healthy controls, and 121 non-cancer patients (benign prostatic hyperplasia and other urinary diseases) were enrolled in this study. The reverse transcription of miRNA and SYBR-Green-based double standards curve miRNA quantitative polymerase chain reactions (qPCR) were used to evaluate the dysregulated miR-410-5p. Receiver operator characteristic (ROC) curve analysis was used to evaluate the diagnostic accuracy of miR-410-5p identified as the alternative biomarker.
Circulating miRNA-410-5p (miR-410-5p) level was significantly higher in the PCa patients than in healthy controls or non-cancer patients. ROC curve analysis showed that plasma miR-410-5p was a specific diagnostic biomarker of PCa with an area under curve(AUC) of 0.8097 (95 % confidence interval, 0.7371-0.8823; P |
doi_str_mv | 10.1186/s12935-016-0285-6 |
format | article |
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149 PCa patients, 57 healthy controls, and 121 non-cancer patients (benign prostatic hyperplasia and other urinary diseases) were enrolled in this study. The reverse transcription of miRNA and SYBR-Green-based double standards curve miRNA quantitative polymerase chain reactions (qPCR) were used to evaluate the dysregulated miR-410-5p. Receiver operator characteristic (ROC) curve analysis was used to evaluate the diagnostic accuracy of miR-410-5p identified as the alternative biomarker.
Circulating miRNA-410-5p (miR-410-5p) level was significantly higher in the PCa patients than in healthy controls or non-cancer patients. ROC curve analysis showed that plasma miR-410-5p was a specific diagnostic biomarker of PCa with an area under curve(AUC) of 0.8097 (95 % confidence interval, 0.7371-0.8823; P < 0.001).
The serum miR-410-5p level is a potential biomarker for the diagnosis of PCa.</description><identifier>ISSN: 1475-2867</identifier><identifier>EISSN: 1475-2867</identifier><identifier>DOI: 10.1186/s12935-016-0285-6</identifier><identifier>PMID: 26900347</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Primary Research</subject><ispartof>Cancer cell international, 2016-02, Vol.16 (1), p.12-12, Article 12</ispartof><rights>Copyright BioMed Central 2016</rights><rights>Wang et al. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c528t-84d2138cc634a0ae4ce7c3fddf6e16baf75ce88f110f06741c532f690dd01c4c3</citedby><cites>FETCH-LOGICAL-c528t-84d2138cc634a0ae4ce7c3fddf6e16baf75ce88f110f06741c532f690dd01c4c3</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/PMC4759854/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1773716616?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26900347$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Jiaqi</creatorcontrib><creatorcontrib>Ye, Huamao</creatorcontrib><creatorcontrib>Zhang, Dandan</creatorcontrib><creatorcontrib>Hu, Yijun</creatorcontrib><creatorcontrib>Yu, Xiya</creatorcontrib><creatorcontrib>Wang, Long</creatorcontrib><creatorcontrib>Zuo, Changjing</creatorcontrib><creatorcontrib>Yu, Yongwei</creatorcontrib><creatorcontrib>Xu, Guixia</creatorcontrib><creatorcontrib>Liu, Shanrong</creatorcontrib><title>MicroRNA-410-5p as a potential serum biomarker for the diagnosis of prostate cancer</title><title>Cancer cell international</title><addtitle>Cancer Cell Int</addtitle><description>Prostate cancer (PCa) remains to be a diagnostic challenge due to its variable presentation and the lack of reliable diagnosis tool. MicroRNAs (miRNAs) regulate gene in extensive range of pathophysiologic processes. Plasma miRNAs are ideal biomarkers in heart failure, diabetes and other disease. However, using circulating miRNAs as biomarkers for the diagnosis of PCa is still unknown.
149 PCa patients, 57 healthy controls, and 121 non-cancer patients (benign prostatic hyperplasia and other urinary diseases) were enrolled in this study. The reverse transcription of miRNA and SYBR-Green-based double standards curve miRNA quantitative polymerase chain reactions (qPCR) were used to evaluate the dysregulated miR-410-5p. Receiver operator characteristic (ROC) curve analysis was used to evaluate the diagnostic accuracy of miR-410-5p identified as the alternative biomarker.
Circulating miRNA-410-5p (miR-410-5p) level was significantly higher in the PCa patients than in healthy controls or non-cancer patients. ROC curve analysis showed that plasma miR-410-5p was a specific diagnostic biomarker of PCa with an area under curve(AUC) of 0.8097 (95 % confidence interval, 0.7371-0.8823; P < 0.001).
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Ye, Huamao ; Zhang, Dandan ; Hu, Yijun ; Yu, Xiya ; Wang, Long ; Zuo, Changjing ; Yu, Yongwei ; Xu, Guixia ; Liu, Shanrong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c528t-84d2138cc634a0ae4ce7c3fddf6e16baf75ce88f110f06741c532f690dd01c4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Primary Research</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jiaqi</creatorcontrib><creatorcontrib>Ye, Huamao</creatorcontrib><creatorcontrib>Zhang, Dandan</creatorcontrib><creatorcontrib>Hu, Yijun</creatorcontrib><creatorcontrib>Yu, Xiya</creatorcontrib><creatorcontrib>Wang, Long</creatorcontrib><creatorcontrib>Zuo, Changjing</creatorcontrib><creatorcontrib>Yu, Yongwei</creatorcontrib><creatorcontrib>Xu, Guixia</creatorcontrib><creatorcontrib>Liu, Shanrong</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancer cell international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jiaqi</au><au>Ye, Huamao</au><au>Zhang, Dandan</au><au>Hu, Yijun</au><au>Yu, Xiya</au><au>Wang, Long</au><au>Zuo, Changjing</au><au>Yu, Yongwei</au><au>Xu, Guixia</au><au>Liu, Shanrong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MicroRNA-410-5p as a potential serum biomarker for the diagnosis of prostate cancer</atitle><jtitle>Cancer cell international</jtitle><addtitle>Cancer Cell Int</addtitle><date>2016-02-19</date><risdate>2016</risdate><volume>16</volume><issue>1</issue><spage>12</spage><epage>12</epage><pages>12-12</pages><artnum>12</artnum><issn>1475-2867</issn><eissn>1475-2867</eissn><abstract>Prostate cancer (PCa) remains to be a diagnostic challenge due to its variable presentation and the lack of reliable diagnosis tool. MicroRNAs (miRNAs) regulate gene in extensive range of pathophysiologic processes. Plasma miRNAs are ideal biomarkers in heart failure, diabetes and other disease. However, using circulating miRNAs as biomarkers for the diagnosis of PCa is still unknown.
149 PCa patients, 57 healthy controls, and 121 non-cancer patients (benign prostatic hyperplasia and other urinary diseases) were enrolled in this study. The reverse transcription of miRNA and SYBR-Green-based double standards curve miRNA quantitative polymerase chain reactions (qPCR) were used to evaluate the dysregulated miR-410-5p. Receiver operator characteristic (ROC) curve analysis was used to evaluate the diagnostic accuracy of miR-410-5p identified as the alternative biomarker.
Circulating miRNA-410-5p (miR-410-5p) level was significantly higher in the PCa patients than in healthy controls or non-cancer patients. ROC curve analysis showed that plasma miR-410-5p was a specific diagnostic biomarker of PCa with an area under curve(AUC) of 0.8097 (95 % confidence interval, 0.7371-0.8823; P < 0.001).
The serum miR-410-5p level is a potential biomarker for the diagnosis of PCa.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>26900347</pmid><doi>10.1186/s12935-016-0285-6</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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title | MicroRNA-410-5p as a potential serum biomarker for the diagnosis of prostate cancer |
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