Serum microRNA expression profile as a diagnostic panel for gastric cancer
Previously, we identified six miRNAs that are differentially expressed in colorectal cancer compared with healthy controls. Here, we tested them in gastric cancer GC. We performed quantitative RT-PCR on serum samples from 92 patients with gastric cancer and 89 controls for the six miRNAs, and analyz...
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| Veröffentlicht in: | Japanese journal of clinical oncology 2016-09, Vol.46 (9), p.811-818 |
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| container_title | Japanese journal of clinical oncology |
| container_volume | 46 |
| creator | Huang, Shengkai Wang, Jia Li, Jia Luo, Qing Zhao, Mei Zheng, Limin Dong, Xianzhe Chen, Chao Che, Yiqun Liu, Ping Qi, Jun Huang, Changzhi |
| description | Previously, we identified six miRNAs that are differentially expressed in colorectal cancer compared with healthy controls. Here, we tested them in gastric cancer GC.
We performed quantitative RT-PCR on serum samples from 92 patients with gastric cancer and 89 controls for the six miRNAs, and analyzed their risk scores to evaluate the diagnostic value of the serum miRNA profiling system.
After a two-phase selection and validation process, five miRNAs were found to significantly differ in expression between gastric cancer samples and control samples, including miR-21, miR-31, miR-92a, miR-181b, and miR-203. Risk score analysis showed that this miRNA panel could distinguish gastric cancer cases from controls with high sensitivity and specificity. Under receiver operating characteristic curves, areas under the curve for tumor identification were 0.933 (95% confidence interval [CI]: 0.86-1.007) for the training set and 0.919 (95% CI: 0.863-0.975) for the validation set-markedly higher than those of carcinoembryonic antigen (0.624) and carbohydrate antigen 19-9 (0.603).
The signature of these five miRNAs is a novel and noninvasive biomarker for gastric cancer, and could facilitate and simplify its diagnosis. |
| doi_str_mv | 10.1093/jjco/hyw085 |
| format | Article |
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We performed quantitative RT-PCR on serum samples from 92 patients with gastric cancer and 89 controls for the six miRNAs, and analyzed their risk scores to evaluate the diagnostic value of the serum miRNA profiling system.
After a two-phase selection and validation process, five miRNAs were found to significantly differ in expression between gastric cancer samples and control samples, including miR-21, miR-31, miR-92a, miR-181b, and miR-203. Risk score analysis showed that this miRNA panel could distinguish gastric cancer cases from controls with high sensitivity and specificity. Under receiver operating characteristic curves, areas under the curve for tumor identification were 0.933 (95% confidence interval [CI]: 0.86-1.007) for the training set and 0.919 (95% CI: 0.863-0.975) for the validation set-markedly higher than those of carcinoembryonic antigen (0.624) and carbohydrate antigen 19-9 (0.603).
The signature of these five miRNAs is a novel and noninvasive biomarker for gastric cancer, and could facilitate and simplify its diagnosis.</description><identifier>ISSN: 0368-2811</identifier><identifier>EISSN: 1465-3621</identifier><identifier>DOI: 10.1093/jjco/hyw085</identifier><identifier>PMID: 27380811</identifier><language>eng</language><publisher>England</publisher><subject>Aged ; Antigens, Tumor-Associated, Carbohydrate - blood ; Area Under Curve ; Biomarkers, Tumor - blood ; Biomarkers, Tumor - genetics ; Biomarkers, Tumor - metabolism ; Case-Control Studies ; Female ; Humans ; Male ; MicroRNAs - blood ; MicroRNAs - genetics ; MicroRNAs - metabolism ; Middle Aged ; Real-Time Polymerase Chain Reaction ; ROC Curve ; Sensitivity and Specificity ; Stomach Neoplasms - blood ; Stomach Neoplasms - diagnosis</subject><ispartof>Japanese journal of clinical oncology, 2016-09, Vol.46 (9), p.811-818</ispartof><rights>The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c486t-fc822f042fb0f52c9387c235d5b6f3d1fee566eab3b5c09ca9d437176989af743</citedby><cites>FETCH-LOGICAL-c486t-fc822f042fb0f52c9387c235d5b6f3d1fee566eab3b5c09ca9d437176989af743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27926,27927</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27380811$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Shengkai</creatorcontrib><creatorcontrib>Wang, Jia</creatorcontrib><creatorcontrib>Li, Jia</creatorcontrib><creatorcontrib>Luo, Qing</creatorcontrib><creatorcontrib>Zhao, Mei</creatorcontrib><creatorcontrib>Zheng, Limin</creatorcontrib><creatorcontrib>Dong, Xianzhe</creatorcontrib><creatorcontrib>Chen, Chao</creatorcontrib><creatorcontrib>Che, Yiqun</creatorcontrib><creatorcontrib>Liu, Ping</creatorcontrib><creatorcontrib>Qi, Jun</creatorcontrib><creatorcontrib>Huang, Changzhi</creatorcontrib><title>Serum microRNA expression profile as a diagnostic panel for gastric cancer</title><title>Japanese journal of clinical oncology</title><addtitle>Jpn J Clin Oncol</addtitle><description>Previously, we identified six miRNAs that are differentially expressed in colorectal cancer compared with healthy controls. Here, we tested them in gastric cancer GC.
We performed quantitative RT-PCR on serum samples from 92 patients with gastric cancer and 89 controls for the six miRNAs, and analyzed their risk scores to evaluate the diagnostic value of the serum miRNA profiling system.
After a two-phase selection and validation process, five miRNAs were found to significantly differ in expression between gastric cancer samples and control samples, including miR-21, miR-31, miR-92a, miR-181b, and miR-203. Risk score analysis showed that this miRNA panel could distinguish gastric cancer cases from controls with high sensitivity and specificity. Under receiver operating characteristic curves, areas under the curve for tumor identification were 0.933 (95% confidence interval [CI]: 0.86-1.007) for the training set and 0.919 (95% CI: 0.863-0.975) for the validation set-markedly higher than those of carcinoembryonic antigen (0.624) and carbohydrate antigen 19-9 (0.603).
The signature of these five miRNAs is a novel and noninvasive biomarker for gastric cancer, and could facilitate and simplify its diagnosis.</description><subject>Aged</subject><subject>Antigens, Tumor-Associated, Carbohydrate - blood</subject><subject>Area Under Curve</subject><subject>Biomarkers, Tumor - blood</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Case-Control Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>MicroRNAs - blood</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>Middle Aged</subject><subject>Real-Time Polymerase Chain Reaction</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>Stomach Neoplasms - blood</subject><subject>Stomach Neoplasms - diagnosis</subject><issn>0368-2811</issn><issn>1465-3621</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kFtLwzAYhoMobk6vvJdcClKXQ5Oml0M8MhQ8XIc0TWZG29SkRffvzdj06oOXh5f3ewA4x-gao5LO12vt55-bbyTYAZjinLOMcoIPwRRRLjIiMJ6AkxjXCCEm8uIYTEhBBUr5FDy9mTC2sHU6-NfnBTQ_fTAxOt_BPnjrGgNVhArWTq06HwenYa8600DrA1ypOISUaNVpE07BkVVNNGf7OwMfd7fvNw_Z8uX-8WaxzHQu-JBZLQixKCe2QpYRXVJRaEJZzSpuaY2tMYxzoypaMY1Krco6pwUueClKZYuczsDlrjcN_BpNHGTrojZNk3b5MUosMOeplKGEXu3Q9F2MwVjZB9eqsJEYya08uZUnd_ISfbEvHqvW1P_sny36CxGrbAc</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Huang, Shengkai</creator><creator>Wang, Jia</creator><creator>Li, Jia</creator><creator>Luo, Qing</creator><creator>Zhao, Mei</creator><creator>Zheng, Limin</creator><creator>Dong, Xianzhe</creator><creator>Chen, Chao</creator><creator>Che, Yiqun</creator><creator>Liu, Ping</creator><creator>Qi, Jun</creator><creator>Huang, Changzhi</creator><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>7X8</scope></search><sort><creationdate>20160901</creationdate><title>Serum microRNA expression profile as a diagnostic panel for gastric cancer</title><author>Huang, Shengkai ; Wang, Jia ; Li, Jia ; Luo, Qing ; Zhao, Mei ; Zheng, Limin ; Dong, Xianzhe ; Chen, Chao ; Che, Yiqun ; Liu, Ping ; Qi, Jun ; Huang, Changzhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c486t-fc822f042fb0f52c9387c235d5b6f3d1fee566eab3b5c09ca9d437176989af743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Antigens, Tumor-Associated, Carbohydrate - blood</topic><topic>Area Under Curve</topic><topic>Biomarkers, Tumor - blood</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Case-Control Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>MicroRNAs - blood</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - metabolism</topic><topic>Middle Aged</topic><topic>Real-Time Polymerase Chain Reaction</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><topic>Stomach Neoplasms - blood</topic><topic>Stomach Neoplasms - diagnosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Shengkai</creatorcontrib><creatorcontrib>Wang, Jia</creatorcontrib><creatorcontrib>Li, Jia</creatorcontrib><creatorcontrib>Luo, Qing</creatorcontrib><creatorcontrib>Zhao, Mei</creatorcontrib><creatorcontrib>Zheng, Limin</creatorcontrib><creatorcontrib>Dong, Xianzhe</creatorcontrib><creatorcontrib>Chen, Chao</creatorcontrib><creatorcontrib>Che, Yiqun</creatorcontrib><creatorcontrib>Liu, Ping</creatorcontrib><creatorcontrib>Qi, Jun</creatorcontrib><creatorcontrib>Huang, Changzhi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Japanese journal of clinical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Shengkai</au><au>Wang, Jia</au><au>Li, Jia</au><au>Luo, Qing</au><au>Zhao, Mei</au><au>Zheng, Limin</au><au>Dong, Xianzhe</au><au>Chen, Chao</au><au>Che, Yiqun</au><au>Liu, Ping</au><au>Qi, Jun</au><au>Huang, Changzhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Serum microRNA expression profile as a diagnostic panel for gastric cancer</atitle><jtitle>Japanese journal of clinical oncology</jtitle><addtitle>Jpn J Clin Oncol</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>46</volume><issue>9</issue><spage>811</spage><epage>818</epage><pages>811-818</pages><issn>0368-2811</issn><eissn>1465-3621</eissn><abstract>Previously, we identified six miRNAs that are differentially expressed in colorectal cancer compared with healthy controls. Here, we tested them in gastric cancer GC.
We performed quantitative RT-PCR on serum samples from 92 patients with gastric cancer and 89 controls for the six miRNAs, and analyzed their risk scores to evaluate the diagnostic value of the serum miRNA profiling system.
After a two-phase selection and validation process, five miRNAs were found to significantly differ in expression between gastric cancer samples and control samples, including miR-21, miR-31, miR-92a, miR-181b, and miR-203. Risk score analysis showed that this miRNA panel could distinguish gastric cancer cases from controls with high sensitivity and specificity. Under receiver operating characteristic curves, areas under the curve for tumor identification were 0.933 (95% confidence interval [CI]: 0.86-1.007) for the training set and 0.919 (95% CI: 0.863-0.975) for the validation set-markedly higher than those of carcinoembryonic antigen (0.624) and carbohydrate antigen 19-9 (0.603).
The signature of these five miRNAs is a novel and noninvasive biomarker for gastric cancer, and could facilitate and simplify its diagnosis.</abstract><cop>England</cop><pmid>27380811</pmid><doi>10.1093/jjco/hyw085</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Aged Antigens, Tumor-Associated, Carbohydrate - blood Area Under Curve Biomarkers, Tumor - blood Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Case-Control Studies Female Humans Male MicroRNAs - blood MicroRNAs - genetics MicroRNAs - metabolism Middle Aged Real-Time Polymerase Chain Reaction ROC Curve Sensitivity and Specificity Stomach Neoplasms - blood Stomach Neoplasms - diagnosis |
| title | Serum microRNA expression profile as a diagnostic panel for gastric cancer |
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