MicroRNA-155 acts as a diagnostic and prognostic biomarker for oesophageal squamous cell carcinoma
MicroRNA-155 is over-expressed in many human cancers, but researches on its association with malignant oesophageal squamous cell carcinoma (ESCC) are limited. The aim of the present study was to evaluate the potential value of miR-155 as a biomarker for ESCC diagnosis and prognosis. In this study, w...
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| Veröffentlicht in: | Artificial cells, nanomedicine, and biotechnology nanomedicine, and biotechnology, 2020-01, Vol.48 (1), p.977-982 |
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| container_title | Artificial cells, nanomedicine, and biotechnology |
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| creator | Zheng, Ying-Juan Liang, Tian-Song Wang, Juan Zhao, Jing-Yi Zhai, Su-Nan Yang, Dao-Ke Wang, Li-Dong |
| description | MicroRNA-155 is over-expressed in many human cancers, but researches on its association with malignant oesophageal squamous cell carcinoma (ESCC) are limited. The aim of the present study was to evaluate the potential value of miR-155 as a biomarker for ESCC diagnosis and prognosis. In this study, we found that miR-155 was significantly increased in ESCC tissues compared with the paired adjacent tissues and healthy normal controls (p |
| doi_str_mv | 10.1080/21691401.2020.1773479 |
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The aim of the present study was to evaluate the potential value of miR-155 as a biomarker for ESCC diagnosis and prognosis. In this study, we found that miR-155 was significantly increased in ESCC tissues compared with the paired adjacent tissues and healthy normal controls (p < .001), according to qRT-PCR, which suggested that miR-155 might act as an oncogene in ESCC. In addition, clinical features such as the depth of tumour invasion, tumour size, and TNM stage were all proved to impact the expression of miR-155 (p < .01). Then, ROC curve analysis, reaching an AUC of 0.870, and a sensitivity and specificity of 83.5% and 77.5%, respectively, revealed that miR-155 was a predictive factor for ESCC. As well, high expression of miR-155 was associated with poor overall survival of the patients (log-rank test, p = .004), according to Kaplan-Meier analysis. MiR-155 might be an independent predictor for overall survival in ESCC patients, manifested by Cox regression analysis (HR = 16.94, 95%CI = 3.33-86.12, p = .001). Taken together, miR-155 could be an independent diagnostic and prognostic biomarker for ESCC.</description><identifier>ISSN: 2169-1401</identifier><identifier>EISSN: 2169-141X</identifier><identifier>DOI: 10.1080/21691401.2020.1773479</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Biomarkers ; Cancer ; diagnosis ; Diagnostic systems ; Esophagus ; Medical prognosis ; MicroRNAs ; MiR-155 ; miRNA ; Oesophageal squamous cell carcinoma ; prognosis ; Rank tests ; Regression analysis ; Squamous cell carcinoma ; Survival ; Tumors</subject><ispartof>Artificial cells, nanomedicine, and biotechnology, 2020-01, Vol.48 (1), p.977-982</ispartof><rights>2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2020</rights><rights>2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution – Non-Commercial License http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-16efe7e25c8e420a8759993e2408b9e7634c7107fdb2e47d895d3ec641dd651f3</citedby><cites>FETCH-LOGICAL-c484t-16efe7e25c8e420a8759993e2408b9e7634c7107fdb2e47d895d3ec641dd651f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/21691401.2020.1773479$$EPDF$$P50$$Ginformaworld$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/21691401.2020.1773479$$EHTML$$P50$$Ginformaworld$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2096,27479,27901,27902,59116,59117</link.rule.ids></links><search><creatorcontrib>Zheng, Ying-Juan</creatorcontrib><creatorcontrib>Liang, Tian-Song</creatorcontrib><creatorcontrib>Wang, Juan</creatorcontrib><creatorcontrib>Zhao, Jing-Yi</creatorcontrib><creatorcontrib>Zhai, Su-Nan</creatorcontrib><creatorcontrib>Yang, Dao-Ke</creatorcontrib><creatorcontrib>Wang, Li-Dong</creatorcontrib><title>MicroRNA-155 acts as a diagnostic and prognostic biomarker for oesophageal squamous cell carcinoma</title><title>Artificial cells, nanomedicine, and biotechnology</title><description>MicroRNA-155 is over-expressed in many human cancers, but researches on its association with malignant oesophageal squamous cell carcinoma (ESCC) are limited. The aim of the present study was to evaluate the potential value of miR-155 as a biomarker for ESCC diagnosis and prognosis. In this study, we found that miR-155 was significantly increased in ESCC tissues compared with the paired adjacent tissues and healthy normal controls (p < .001), according to qRT-PCR, which suggested that miR-155 might act as an oncogene in ESCC. In addition, clinical features such as the depth of tumour invasion, tumour size, and TNM stage were all proved to impact the expression of miR-155 (p < .01). Then, ROC curve analysis, reaching an AUC of 0.870, and a sensitivity and specificity of 83.5% and 77.5%, respectively, revealed that miR-155 was a predictive factor for ESCC. As well, high expression of miR-155 was associated with poor overall survival of the patients (log-rank test, p = .004), according to Kaplan-Meier analysis. MiR-155 might be an independent predictor for overall survival in ESCC patients, manifested by Cox regression analysis (HR = 16.94, 95%CI = 3.33-86.12, p = .001). Taken together, miR-155 could be an independent diagnostic and prognostic biomarker for ESCC.</description><subject>Biomarkers</subject><subject>Cancer</subject><subject>diagnosis</subject><subject>Diagnostic systems</subject><subject>Esophagus</subject><subject>Medical prognosis</subject><subject>MicroRNAs</subject><subject>MiR-155</subject><subject>miRNA</subject><subject>Oesophageal squamous cell carcinoma</subject><subject>prognosis</subject><subject>Rank tests</subject><subject>Regression analysis</subject><subject>Squamous cell carcinoma</subject><subject>Survival</subject><subject>Tumors</subject><issn>2169-1401</issn><issn>2169-141X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>DOA</sourceid><recordid>eNp9UU1rFTEUHUTBUvsThIAbN1Nz852dpfhRaBVEwV24k2Seec6bvCbzkP57M762iy4Mgdxczjncc0_XvQZ6DtTQdwyUBUHhnFHWWlpzoe2z7mTt9yDg5_PHmsLL7qzWLW3HgNJSnHTDTfIlf_ty0YOUBP1SCbZLQsLNnOuSPME5kH3JD98h5R2W37GQMReSY837X7iJOJF6e8BdPlTi4zQRj8WnuWFfdS9GnGo8u39Pux8fP3y__Nxff_10dXlx3XthxNKDimPUkUlvomAUjZbWWh6ZoGawUSsuvAaqxzCwKHQwVgYevRIQgpIw8tPu6qgbMm7dvqQ25p3LmNy_Ri4bh6U5mKJrMqrRB21BC-AeudQI1A4cg0G6ar09ajXjt4dYF7dLdbWFc2wOHROgmAJmbIO-eQLd5kOZm9OG0sqAMFY3lDyi2rZrLXF8HBCoW4N0D0G6NUh3H2TjvT_y0tzWvcM_uUzBLXg35TIWnH2qjv9f4i_lP6Jq</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Zheng, Ying-Juan</creator><creator>Liang, Tian-Song</creator><creator>Wang, Juan</creator><creator>Zhao, Jing-Yi</creator><creator>Zhai, Su-Nan</creator><creator>Yang, Dao-Ke</creator><creator>Wang, Li-Dong</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>0YH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20200101</creationdate><title>MicroRNA-155 acts as a diagnostic and prognostic biomarker for oesophageal squamous cell carcinoma</title><author>Zheng, Ying-Juan ; Liang, Tian-Song ; Wang, Juan ; Zhao, Jing-Yi ; Zhai, Su-Nan ; Yang, Dao-Ke ; Wang, Li-Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-16efe7e25c8e420a8759993e2408b9e7634c7107fdb2e47d895d3ec641dd651f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biomarkers</topic><topic>Cancer</topic><topic>diagnosis</topic><topic>Diagnostic systems</topic><topic>Esophagus</topic><topic>Medical prognosis</topic><topic>MicroRNAs</topic><topic>MiR-155</topic><topic>miRNA</topic><topic>Oesophageal squamous cell carcinoma</topic><topic>prognosis</topic><topic>Rank tests</topic><topic>Regression analysis</topic><topic>Squamous cell carcinoma</topic><topic>Survival</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Ying-Juan</creatorcontrib><creatorcontrib>Liang, Tian-Song</creatorcontrib><creatorcontrib>Wang, Juan</creatorcontrib><creatorcontrib>Zhao, Jing-Yi</creatorcontrib><creatorcontrib>Zhai, Su-Nan</creatorcontrib><creatorcontrib>Yang, Dao-Ke</creatorcontrib><creatorcontrib>Wang, Li-Dong</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Artificial cells, nanomedicine, and biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Ying-Juan</au><au>Liang, Tian-Song</au><au>Wang, Juan</au><au>Zhao, Jing-Yi</au><au>Zhai, Su-Nan</au><au>Yang, Dao-Ke</au><au>Wang, Li-Dong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MicroRNA-155 acts as a diagnostic and prognostic biomarker for oesophageal squamous cell carcinoma</atitle><jtitle>Artificial cells, nanomedicine, and biotechnology</jtitle><date>2020-01-01</date><risdate>2020</risdate><volume>48</volume><issue>1</issue><spage>977</spage><epage>982</epage><pages>977-982</pages><issn>2169-1401</issn><eissn>2169-141X</eissn><abstract>MicroRNA-155 is over-expressed in many human cancers, but researches on its association with malignant oesophageal squamous cell carcinoma (ESCC) are limited. The aim of the present study was to evaluate the potential value of miR-155 as a biomarker for ESCC diagnosis and prognosis. In this study, we found that miR-155 was significantly increased in ESCC tissues compared with the paired adjacent tissues and healthy normal controls (p < .001), according to qRT-PCR, which suggested that miR-155 might act as an oncogene in ESCC. In addition, clinical features such as the depth of tumour invasion, tumour size, and TNM stage were all proved to impact the expression of miR-155 (p < .01). Then, ROC curve analysis, reaching an AUC of 0.870, and a sensitivity and specificity of 83.5% and 77.5%, respectively, revealed that miR-155 was a predictive factor for ESCC. As well, high expression of miR-155 was associated with poor overall survival of the patients (log-rank test, p = .004), according to Kaplan-Meier analysis. MiR-155 might be an independent predictor for overall survival in ESCC patients, manifested by Cox regression analysis (HR = 16.94, 95%CI = 3.33-86.12, p = .001). Taken together, miR-155 could be an independent diagnostic and prognostic biomarker for ESCC.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/21691401.2020.1773479</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Biomarkers Cancer diagnosis Diagnostic systems Esophagus Medical prognosis MicroRNAs MiR-155 miRNA Oesophageal squamous cell carcinoma prognosis Rank tests Regression analysis Squamous cell carcinoma Survival Tumors |
| title | MicroRNA-155 acts as a diagnostic and prognostic biomarker for oesophageal squamous cell carcinoma |
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