Construction of a 13‐microRNA‐based signature and prognostic nomogram for predicting overall survival in patients with hepatocellular carcinoma
Aim Hepatocellular carcinoma (HCC) is a common malignancy associated with a poor prognosis due to difficulties in reliably estimating overall survival (OS). MicroRNAs (miRNAs) play critical roles in HCC initiation, progression, and metastasis and are highly correlated with patient prognosis. Thus, m...
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| Veröffentlicht in: | Hepatology research 2020-10, Vol.50 (10), p.1151-1163 |
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| creator | Zheng, Zhihua Wen, Yi Nie, Kechao Tang, Shuting Chen, Xu Lan, Shaoyang Pan, Jinglin Jiang, Kailin Jiang, Xiaotao Liu, Peng Yan, Yanhua Liu, Fengbin Liu, Yufeng Li, Peiwu |
| description | Aim
Hepatocellular carcinoma (HCC) is a common malignancy associated with a poor prognosis due to difficulties in reliably estimating overall survival (OS). MicroRNAs (miRNAs) play critical roles in HCC initiation, progression, and metastasis and are highly correlated with patient prognosis. Thus, miRNA‐based risk signatures and nomograms are urgently required for predicting OS in patients with HCC.
Methods
We constructed a 13‐miRNA‐based signature and prognostic nomogram using 408 HCC samples and 58 normal tissues with miRNA sequencing data and clinical data from 323 patients downloaded from The Cancer Genome Atlas. A total of 195 patients were assigned as the internal validation cohort for verification and testing. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis was applied to investigate pathway enrichment for the signature.
Results
We identified and validated a 13‐miRNA risk signature highly associating with the OS of HCC patients. The signature showed good performances by calculating C‐index, area under the curve, and calibration curves. After verification and testing using an internal validation cohort, the results yielded a miRNA‐based signature and a prognostic nomogram with reliable predictive accuracy. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis indicated that various genes and multiple pathways were closely related to the mechanisms of HCC proliferation and metastasis.
Conclusion
We successfully identified a 13‐miRNA‐based signature and prognostic nomogram that are capable of predicting OS in patients with HCC. |
| doi_str_mv | 10.1111/hepr.13538 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_wiley</sourceid><recordid>TN_cdi_wiley_primary_10_1111_hepr_13538_HEPR13538</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2451600663</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3588-a6836797c44bd8d694720018a1e68b75bbce2fe269b50f3920a971f6974c703c3</originalsourceid><addsrcrecordid>eNqNkc9qFTEUxgdRbK1ufIKAG6lMzf9klmWotlBUioK74Uwmc5syk1yTzC3d-QiCb-iTNOMtLlyI2eRw-H2H75yvql4SfELKe3ttt_GEMMH0o-qQaEVrzPjXx6VmWtaScXlQPUvpBmOiMOVPqwNGhVSUyMPqZxt8ynEx2QWPwogAEfbr-4_ZmRiuPpyWsodkB5TcxkNeokXgB7SNYeNDys4gH-awiTCjMcTSt4Mrs_wGhZ2NME0oLXHndjAh59EWsrM-J3Tr8jUqviEHY6dpmSAiA9G4Mg2eV09GmJJ98fAfVV_enX1uz-vLj-8v2tPL2jChdQ1SM6kaZTjvBz3IhitaVtRArNS9En1vLB0tlU0v8MgaiqFRZJSN4kZhZthR9Xo_t2zzbbEpd7NLqx3wNiypo5wIzTRWpKCv_kJvwhJ9cVcoQSTGUrJCHe-pcruUoh27bXQzxLuO4G6Nqluj6n5HVeA3e_jW9mFMphzG2D8CjLEQDZeElwqvBvT_063LsObZhsXnIiUPUjfZu39Y6s7PPl3tzd0Dhzy5QQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2451600663</pqid></control><display><type>article</type><title>Construction of a 13‐microRNA‐based signature and prognostic nomogram for predicting overall survival in patients with hepatocellular carcinoma</title><source>Access via Wiley Online Library</source><creator>Zheng, Zhihua ; Wen, Yi ; Nie, Kechao ; Tang, Shuting ; Chen, Xu ; Lan, Shaoyang ; Pan, Jinglin ; Jiang, Kailin ; Jiang, Xiaotao ; Liu, Peng ; Yan, Yanhua ; Liu, Fengbin ; Liu, Yufeng ; Li, Peiwu</creator><creatorcontrib>Zheng, Zhihua ; Wen, Yi ; Nie, Kechao ; Tang, Shuting ; Chen, Xu ; Lan, Shaoyang ; Pan, Jinglin ; Jiang, Kailin ; Jiang, Xiaotao ; Liu, Peng ; Yan, Yanhua ; Liu, Fengbin ; Liu, Yufeng ; Li, Peiwu</creatorcontrib><description>Aim
Hepatocellular carcinoma (HCC) is a common malignancy associated with a poor prognosis due to difficulties in reliably estimating overall survival (OS). MicroRNAs (miRNAs) play critical roles in HCC initiation, progression, and metastasis and are highly correlated with patient prognosis. Thus, miRNA‐based risk signatures and nomograms are urgently required for predicting OS in patients with HCC.
Methods
We constructed a 13‐miRNA‐based signature and prognostic nomogram using 408 HCC samples and 58 normal tissues with miRNA sequencing data and clinical data from 323 patients downloaded from The Cancer Genome Atlas. A total of 195 patients were assigned as the internal validation cohort for verification and testing. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis was applied to investigate pathway enrichment for the signature.
Results
We identified and validated a 13‐miRNA risk signature highly associating with the OS of HCC patients. The signature showed good performances by calculating C‐index, area under the curve, and calibration curves. After verification and testing using an internal validation cohort, the results yielded a miRNA‐based signature and a prognostic nomogram with reliable predictive accuracy. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis indicated that various genes and multiple pathways were closely related to the mechanisms of HCC proliferation and metastasis.
Conclusion
We successfully identified a 13‐miRNA‐based signature and prognostic nomogram that are capable of predicting OS in patients with HCC.</description><identifier>ISSN: 1386-6346</identifier><identifier>EISSN: 1872-034X</identifier><identifier>DOI: 10.1111/hepr.13538</identifier><identifier>PMID: 32567216</identifier><language>eng</language><publisher>HOBOKEN: Wiley</publisher><subject>Gastroenterology & Hepatology ; Genes ; Genomes ; Hepatocellular carcinoma ; Life Sciences & Biomedicine ; Liver cancer ; Malignancy ; Medical prognosis ; Metastases ; Metastasis ; microRNA ; MicroRNAs ; miRNA ; miRNA‐based risk signature ; Ontology ; overall survival ; Prognosis ; prognostic nomogram ; Science & Technology ; Survival</subject><ispartof>Hepatology research, 2020-10, Vol.50 (10), p.1151-1163</ispartof><rights>2020 The Japan Society of Hepatology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>9</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000559461400001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c3588-a6836797c44bd8d694720018a1e68b75bbce2fe269b50f3920a971f6974c703c3</citedby><cites>FETCH-LOGICAL-c3588-a6836797c44bd8d694720018a1e68b75bbce2fe269b50f3920a971f6974c703c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fhepr.13538$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fhepr.13538$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27928,27929,45578,45579</link.rule.ids></links><search><creatorcontrib>Zheng, Zhihua</creatorcontrib><creatorcontrib>Wen, Yi</creatorcontrib><creatorcontrib>Nie, Kechao</creatorcontrib><creatorcontrib>Tang, Shuting</creatorcontrib><creatorcontrib>Chen, Xu</creatorcontrib><creatorcontrib>Lan, Shaoyang</creatorcontrib><creatorcontrib>Pan, Jinglin</creatorcontrib><creatorcontrib>Jiang, Kailin</creatorcontrib><creatorcontrib>Jiang, Xiaotao</creatorcontrib><creatorcontrib>Liu, Peng</creatorcontrib><creatorcontrib>Yan, Yanhua</creatorcontrib><creatorcontrib>Liu, Fengbin</creatorcontrib><creatorcontrib>Liu, Yufeng</creatorcontrib><creatorcontrib>Li, Peiwu</creatorcontrib><title>Construction of a 13‐microRNA‐based signature and prognostic nomogram for predicting overall survival in patients with hepatocellular carcinoma</title><title>Hepatology research</title><addtitle>HEPATOL RES</addtitle><description>Aim
Hepatocellular carcinoma (HCC) is a common malignancy associated with a poor prognosis due to difficulties in reliably estimating overall survival (OS). MicroRNAs (miRNAs) play critical roles in HCC initiation, progression, and metastasis and are highly correlated with patient prognosis. Thus, miRNA‐based risk signatures and nomograms are urgently required for predicting OS in patients with HCC.
Methods
We constructed a 13‐miRNA‐based signature and prognostic nomogram using 408 HCC samples and 58 normal tissues with miRNA sequencing data and clinical data from 323 patients downloaded from The Cancer Genome Atlas. A total of 195 patients were assigned as the internal validation cohort for verification and testing. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis was applied to investigate pathway enrichment for the signature.
Results
We identified and validated a 13‐miRNA risk signature highly associating with the OS of HCC patients. The signature showed good performances by calculating C‐index, area under the curve, and calibration curves. After verification and testing using an internal validation cohort, the results yielded a miRNA‐based signature and a prognostic nomogram with reliable predictive accuracy. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis indicated that various genes and multiple pathways were closely related to the mechanisms of HCC proliferation and metastasis.
Conclusion
We successfully identified a 13‐miRNA‐based signature and prognostic nomogram that are capable of predicting OS in patients with HCC.</description><subject>Gastroenterology & Hepatology</subject><subject>Genes</subject><subject>Genomes</subject><subject>Hepatocellular carcinoma</subject><subject>Life Sciences & Biomedicine</subject><subject>Liver cancer</subject><subject>Malignancy</subject><subject>Medical prognosis</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>microRNA</subject><subject>MicroRNAs</subject><subject>miRNA</subject><subject>miRNA‐based risk signature</subject><subject>Ontology</subject><subject>overall survival</subject><subject>Prognosis</subject><subject>prognostic nomogram</subject><subject>Science & Technology</subject><subject>Survival</subject><issn>1386-6346</issn><issn>1872-034X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><recordid>eNqNkc9qFTEUxgdRbK1ufIKAG6lMzf9klmWotlBUioK74Uwmc5syk1yTzC3d-QiCb-iTNOMtLlyI2eRw-H2H75yvql4SfELKe3ttt_GEMMH0o-qQaEVrzPjXx6VmWtaScXlQPUvpBmOiMOVPqwNGhVSUyMPqZxt8ynEx2QWPwogAEfbr-4_ZmRiuPpyWsodkB5TcxkNeokXgB7SNYeNDys4gH-awiTCjMcTSt4Mrs_wGhZ2NME0oLXHndjAh59EWsrM-J3Tr8jUqviEHY6dpmSAiA9G4Mg2eV09GmJJ98fAfVV_enX1uz-vLj-8v2tPL2jChdQ1SM6kaZTjvBz3IhitaVtRArNS9En1vLB0tlU0v8MgaiqFRZJSN4kZhZthR9Xo_t2zzbbEpd7NLqx3wNiypo5wIzTRWpKCv_kJvwhJ9cVcoQSTGUrJCHe-pcruUoh27bXQzxLuO4G6Nqluj6n5HVeA3e_jW9mFMphzG2D8CjLEQDZeElwqvBvT_063LsObZhsXnIiUPUjfZu39Y6s7PPl3tzd0Dhzy5QQ</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Zheng, Zhihua</creator><creator>Wen, Yi</creator><creator>Nie, Kechao</creator><creator>Tang, Shuting</creator><creator>Chen, Xu</creator><creator>Lan, Shaoyang</creator><creator>Pan, Jinglin</creator><creator>Jiang, Kailin</creator><creator>Jiang, Xiaotao</creator><creator>Liu, Peng</creator><creator>Yan, Yanhua</creator><creator>Liu, Fengbin</creator><creator>Liu, Yufeng</creator><creator>Li, Peiwu</creator><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TM</scope><scope>7U9</scope><scope>H94</scope><scope>7X8</scope></search><sort><creationdate>202010</creationdate><title>Construction of a 13‐microRNA‐based signature and prognostic nomogram for predicting overall survival in patients with hepatocellular carcinoma</title><author>Zheng, Zhihua ; Wen, Yi ; Nie, Kechao ; Tang, Shuting ; Chen, Xu ; Lan, Shaoyang ; Pan, Jinglin ; Jiang, Kailin ; Jiang, Xiaotao ; Liu, Peng ; Yan, Yanhua ; Liu, Fengbin ; Liu, Yufeng ; Li, Peiwu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3588-a6836797c44bd8d694720018a1e68b75bbce2fe269b50f3920a971f6974c703c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Gastroenterology & Hepatology</topic><topic>Genes</topic><topic>Genomes</topic><topic>Hepatocellular carcinoma</topic><topic>Life Sciences & Biomedicine</topic><topic>Liver cancer</topic><topic>Malignancy</topic><topic>Medical prognosis</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>microRNA</topic><topic>MicroRNAs</topic><topic>miRNA</topic><topic>miRNA‐based risk signature</topic><topic>Ontology</topic><topic>overall survival</topic><topic>Prognosis</topic><topic>prognostic nomogram</topic><topic>Science & Technology</topic><topic>Survival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Zhihua</creatorcontrib><creatorcontrib>Wen, Yi</creatorcontrib><creatorcontrib>Nie, Kechao</creatorcontrib><creatorcontrib>Tang, Shuting</creatorcontrib><creatorcontrib>Chen, Xu</creatorcontrib><creatorcontrib>Lan, Shaoyang</creatorcontrib><creatorcontrib>Pan, Jinglin</creatorcontrib><creatorcontrib>Jiang, Kailin</creatorcontrib><creatorcontrib>Jiang, Xiaotao</creatorcontrib><creatorcontrib>Liu, Peng</creatorcontrib><creatorcontrib>Yan, Yanhua</creatorcontrib><creatorcontrib>Liu, Fengbin</creatorcontrib><creatorcontrib>Liu, Yufeng</creatorcontrib><creatorcontrib>Li, Peiwu</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Hepatology research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Zhihua</au><au>Wen, Yi</au><au>Nie, Kechao</au><au>Tang, Shuting</au><au>Chen, Xu</au><au>Lan, Shaoyang</au><au>Pan, Jinglin</au><au>Jiang, Kailin</au><au>Jiang, Xiaotao</au><au>Liu, Peng</au><au>Yan, Yanhua</au><au>Liu, Fengbin</au><au>Liu, Yufeng</au><au>Li, Peiwu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Construction of a 13‐microRNA‐based signature and prognostic nomogram for predicting overall survival in patients with hepatocellular carcinoma</atitle><jtitle>Hepatology research</jtitle><stitle>HEPATOL RES</stitle><date>2020-10</date><risdate>2020</risdate><volume>50</volume><issue>10</issue><spage>1151</spage><epage>1163</epage><pages>1151-1163</pages><issn>1386-6346</issn><eissn>1872-034X</eissn><abstract>Aim
Hepatocellular carcinoma (HCC) is a common malignancy associated with a poor prognosis due to difficulties in reliably estimating overall survival (OS). MicroRNAs (miRNAs) play critical roles in HCC initiation, progression, and metastasis and are highly correlated with patient prognosis. Thus, miRNA‐based risk signatures and nomograms are urgently required for predicting OS in patients with HCC.
Methods
We constructed a 13‐miRNA‐based signature and prognostic nomogram using 408 HCC samples and 58 normal tissues with miRNA sequencing data and clinical data from 323 patients downloaded from The Cancer Genome Atlas. A total of 195 patients were assigned as the internal validation cohort for verification and testing. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis was applied to investigate pathway enrichment for the signature.
Results
We identified and validated a 13‐miRNA risk signature highly associating with the OS of HCC patients. The signature showed good performances by calculating C‐index, area under the curve, and calibration curves. After verification and testing using an internal validation cohort, the results yielded a miRNA‐based signature and a prognostic nomogram with reliable predictive accuracy. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis indicated that various genes and multiple pathways were closely related to the mechanisms of HCC proliferation and metastasis.
Conclusion
We successfully identified a 13‐miRNA‐based signature and prognostic nomogram that are capable of predicting OS in patients with HCC.</abstract><cop>HOBOKEN</cop><pub>Wiley</pub><pmid>32567216</pmid><doi>10.1111/hepr.13538</doi><tpages>13</tpages></addata></record> |
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| ispartof | Hepatology research, 2020-10, Vol.50 (10), p.1151-1163 |
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| source | Access via Wiley Online Library |
| subjects | Gastroenterology & Hepatology Genes Genomes Hepatocellular carcinoma Life Sciences & Biomedicine Liver cancer Malignancy Medical prognosis Metastases Metastasis microRNA MicroRNAs miRNA miRNA‐based risk signature Ontology overall survival Prognosis prognostic nomogram Science & Technology Survival |
| title | Construction of a 13‐microRNA‐based signature and prognostic nomogram for predicting overall survival in patients with hepatocellular carcinoma |
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