MicroRNA signature predicts survival in papillary thyroid carcinoma
Papillary thyroid cancer (PTC) accounts for the majority of malignant thyroid tumors. Recently, several microRNA (miRNA) expression profiling studies have used bioinformatics to suggest miRNA signatures as potential prognostic biomarkers in various malignancies. However, a prognostic miRNA biomarker...
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| Veröffentlicht in: | Journal of cellular biochemistry 2019-10, Vol.120 (10), p.17050-17058 |
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| creator | Chengfeng, Xiong Gengming, Cai Junjia, Zhang Yunxia, Lv |
| description | Papillary thyroid cancer (PTC) accounts for the majority of malignant thyroid tumors. Recently, several microRNA (miRNA) expression profiling studies have used bioinformatics to suggest miRNA signatures as potential prognostic biomarkers in various malignancies. However, a prognostic miRNA biomarker has not yet been established for PTC. The aim of the present study was to identify miRNAs with prognostic value for the overall survival (OS) of patients with PTC by analyzing high‐throughput miRNA data and their associated clinical characteristics downloaded from The Cancer Genome Atlas database. From our dataset, 150 differentially expressed miRNAs were identified between tumor and nontumor samples; of these miRNAs, 118 were upregulated and 32 were downregulated. Among the 150 differentially expressed miRNAs, a four miRNA signature was identified that reliably predicts OS in patients with PTC. This miRNA signature was able to classify patients into a high‐risk group and a low‐risk group with a significant difference in OS (P |
| doi_str_mv | 10.1002/jcb.28966 |
| format | Article |
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P < .01). The four miRNA signature was an independent prognostic predictor according to the multivariate analysis and demonstrated good performance in predicting 5‐year disease survival with an area under the receiver operating characteristic curve area under the curve (AUC) score of 0.886. Thus, this signature may serve as a novel biomarker for predicting the survival of patients with PTC.
The aim of the study was to identify microRNAs (miRNAs) with prognostic value for the overall survival of patients with PTC by analyzing The Cancer Genome Atlas database. The results showed that four miRNA signature was an independent prognostic predictor in predicting 5‐year disease survival.</description><identifier>ISSN: 0730-2312</identifier><identifier>EISSN: 1097-4644</identifier><identifier>DOI: 10.1002/jcb.28966</identifier><identifier>PMID: 31099134</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Bioinformatics ; Biomarkers ; Cancer ; Genomes ; microRNA ; MicroRNAs ; miRNA ; Multivariate analysis ; overall survival ; Papillary thyroid cancer ; Papillary thyroid carcinoma ; Performance prediction ; prognostic markers ; Ribonucleic acid ; RNA ; Survival ; The Cancer Genome Atlas ; Thyroid ; Thyroid cancer ; Tumors</subject><ispartof>Journal of cellular biochemistry, 2019-10, Vol.120 (10), p.17050-17058</ispartof><rights>2019 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3536-1b668c73bfdb8d6aac05e3e1395d2c58a71546bb8b494026fc8fd8d8bf1ada693</citedby><cites>FETCH-LOGICAL-c3536-1b668c73bfdb8d6aac05e3e1395d2c58a71546bb8b494026fc8fd8d8bf1ada693</cites><orcidid>0000-0002-5144-1637 ; 0000-0003-4903-0692</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjcb.28966$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjcb.28966$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27926,27927,45576,45577</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31099134$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chengfeng, Xiong</creatorcontrib><creatorcontrib>Gengming, Cai</creatorcontrib><creatorcontrib>Junjia, Zhang</creatorcontrib><creatorcontrib>Yunxia, Lv</creatorcontrib><title>MicroRNA signature predicts survival in papillary thyroid carcinoma</title><title>Journal of cellular biochemistry</title><addtitle>J Cell Biochem</addtitle><description>Papillary thyroid cancer (PTC) accounts for the majority of malignant thyroid tumors. Recently, several microRNA (miRNA) expression profiling studies have used bioinformatics to suggest miRNA signatures as potential prognostic biomarkers in various malignancies. However, a prognostic miRNA biomarker has not yet been established for PTC. The aim of the present study was to identify miRNAs with prognostic value for the overall survival (OS) of patients with PTC by analyzing high‐throughput miRNA data and their associated clinical characteristics downloaded from The Cancer Genome Atlas database. From our dataset, 150 differentially expressed miRNAs were identified between tumor and nontumor samples; of these miRNAs, 118 were upregulated and 32 were downregulated. Among the 150 differentially expressed miRNAs, a four miRNA signature was identified that reliably predicts OS in patients with PTC. This miRNA signature was able to classify patients into a high‐risk group and a low‐risk group with a significant difference in OS (P < .01). The prognostic value of the signature was validated in a testing set (
P < .01). The four miRNA signature was an independent prognostic predictor according to the multivariate analysis and demonstrated good performance in predicting 5‐year disease survival with an area under the receiver operating characteristic curve area under the curve (AUC) score of 0.886. Thus, this signature may serve as a novel biomarker for predicting the survival of patients with PTC.
The aim of the study was to identify microRNAs (miRNAs) with prognostic value for the overall survival of patients with PTC by analyzing The Cancer Genome Atlas database. The results showed that four miRNA signature was an independent prognostic predictor in predicting 5‐year disease survival.</description><subject>Bioinformatics</subject><subject>Biomarkers</subject><subject>Cancer</subject><subject>Genomes</subject><subject>microRNA</subject><subject>MicroRNAs</subject><subject>miRNA</subject><subject>Multivariate analysis</subject><subject>overall survival</subject><subject>Papillary thyroid cancer</subject><subject>Papillary thyroid carcinoma</subject><subject>Performance prediction</subject><subject>prognostic markers</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Survival</subject><subject>The Cancer Genome Atlas</subject><subject>Thyroid</subject><subject>Thyroid cancer</subject><subject>Tumors</subject><issn>0730-2312</issn><issn>1097-4644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp10E1LwzAcx_EgipvTg29ACl700C0PbZocZ_GRqSB6LnmqZnRtTdrJ3r3RTg-Cp1w-_PjnC8AxglMEIZ4tlZxixindAWMEeRYnNEl2wRhmBMaYIDwCB94vIYScE7wPRiQojkgyBvm9Va55ephH3r7WouudiVpntFWdj3zv1nYtqsjWUStaW1XCbaLubeMaqyMlnLJ1sxKHYK8UlTdH23cCXq4un_ObePF4fZvPF7EiKaExkpQylRFZask0FULB1BCDCE81VikTGUoTKiWTCU8gpqVipWaayRIJLSgnE3A27Lauee-N74qV9cqEq2rT9L7AmGCY8IzBQE__0GXTuzpcFxSDmEOcoqDOBxUSeO9MWbTOrsIfCwSLr7JFKFt8lw32ZLvYy5XRv_InZQCzAXzYymz-Xyru8oth8hPTk4He</recordid><startdate>201910</startdate><enddate>201910</enddate><creator>Chengfeng, Xiong</creator><creator>Gengming, Cai</creator><creator>Junjia, Zhang</creator><creator>Yunxia, Lv</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7T7</scope><scope>7TK</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5144-1637</orcidid><orcidid>https://orcid.org/0000-0003-4903-0692</orcidid></search><sort><creationdate>201910</creationdate><title>MicroRNA signature predicts survival in papillary thyroid carcinoma</title><author>Chengfeng, Xiong ; Gengming, Cai ; Junjia, Zhang ; Yunxia, Lv</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3536-1b668c73bfdb8d6aac05e3e1395d2c58a71546bb8b494026fc8fd8d8bf1ada693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Bioinformatics</topic><topic>Biomarkers</topic><topic>Cancer</topic><topic>Genomes</topic><topic>microRNA</topic><topic>MicroRNAs</topic><topic>miRNA</topic><topic>Multivariate analysis</topic><topic>overall survival</topic><topic>Papillary thyroid cancer</topic><topic>Papillary thyroid carcinoma</topic><topic>Performance prediction</topic><topic>prognostic markers</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>Survival</topic><topic>The Cancer Genome Atlas</topic><topic>Thyroid</topic><topic>Thyroid cancer</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chengfeng, Xiong</creatorcontrib><creatorcontrib>Gengming, Cai</creatorcontrib><creatorcontrib>Junjia, Zhang</creatorcontrib><creatorcontrib>Yunxia, Lv</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of cellular biochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chengfeng, Xiong</au><au>Gengming, Cai</au><au>Junjia, Zhang</au><au>Yunxia, Lv</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MicroRNA signature predicts survival in papillary thyroid carcinoma</atitle><jtitle>Journal of cellular biochemistry</jtitle><addtitle>J Cell Biochem</addtitle><date>2019-10</date><risdate>2019</risdate><volume>120</volume><issue>10</issue><spage>17050</spage><epage>17058</epage><pages>17050-17058</pages><issn>0730-2312</issn><eissn>1097-4644</eissn><abstract>Papillary thyroid cancer (PTC) accounts for the majority of malignant thyroid tumors. Recently, several microRNA (miRNA) expression profiling studies have used bioinformatics to suggest miRNA signatures as potential prognostic biomarkers in various malignancies. However, a prognostic miRNA biomarker has not yet been established for PTC. The aim of the present study was to identify miRNAs with prognostic value for the overall survival (OS) of patients with PTC by analyzing high‐throughput miRNA data and their associated clinical characteristics downloaded from The Cancer Genome Atlas database. From our dataset, 150 differentially expressed miRNAs were identified between tumor and nontumor samples; of these miRNAs, 118 were upregulated and 32 were downregulated. Among the 150 differentially expressed miRNAs, a four miRNA signature was identified that reliably predicts OS in patients with PTC. This miRNA signature was able to classify patients into a high‐risk group and a low‐risk group with a significant difference in OS (P < .01). The prognostic value of the signature was validated in a testing set (
P < .01). The four miRNA signature was an independent prognostic predictor according to the multivariate analysis and demonstrated good performance in predicting 5‐year disease survival with an area under the receiver operating characteristic curve area under the curve (AUC) score of 0.886. Thus, this signature may serve as a novel biomarker for predicting the survival of patients with PTC.
The aim of the study was to identify microRNAs (miRNAs) with prognostic value for the overall survival of patients with PTC by analyzing The Cancer Genome Atlas database. The results showed that four miRNA signature was an independent prognostic predictor in predicting 5‐year disease survival.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31099134</pmid><doi>10.1002/jcb.28966</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-5144-1637</orcidid><orcidid>https://orcid.org/0000-0003-4903-0692</orcidid></addata></record> |
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| subjects | Bioinformatics Biomarkers Cancer Genomes microRNA MicroRNAs miRNA Multivariate analysis overall survival Papillary thyroid cancer Papillary thyroid carcinoma Performance prediction prognostic markers Ribonucleic acid RNA Survival The Cancer Genome Atlas Thyroid Thyroid cancer Tumors |
| title | MicroRNA signature predicts survival in papillary thyroid carcinoma |
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