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High lncRNA H19 expression as prognostic indicator: data mining in female cancers and polling analysis in non-female cancers

Upregulation of lncRNA H19 expression is associated with an unfavorable prognosis in some cancers. However, the prognostic value of H19 in female-specific cancers has remained uncharacterized. In this study, the prognostic power of high H19 expression in female cancer patients from the TCGA datasets...

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Autores principales: Peng, Li, Yuan, Xiao-Qing, Liu, Zhao-Yang, Li, Wen-Ling, Zhang, Chao-Yang, Zhang, Ya-Qin, Pan, Xi, Chen, Jun, Li, Yue-Hui, Li, Guan-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352086/
https://www.ncbi.nlm.nih.gov/pubmed/27926484
http://dx.doi.org/10.18632/oncotarget.13768
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author Peng, Li
Yuan, Xiao-Qing
Liu, Zhao-Yang
Li, Wen-Ling
Zhang, Chao-Yang
Zhang, Ya-Qin
Pan, Xi
Chen, Jun
Li, Yue-Hui
Li, Guan-Cheng
author_facet Peng, Li
Yuan, Xiao-Qing
Liu, Zhao-Yang
Li, Wen-Ling
Zhang, Chao-Yang
Zhang, Ya-Qin
Pan, Xi
Chen, Jun
Li, Yue-Hui
Li, Guan-Cheng
author_sort Peng, Li
collection PubMed
description Upregulation of lncRNA H19 expression is associated with an unfavorable prognosis in some cancers. However, the prognostic value of H19 in female-specific cancers has remained uncharacterized. In this study, the prognostic power of high H19 expression in female cancer patients from the TCGA datasets was analyzed using Kaplan-Meier survival curves and Cox's proportional hazard modeling. In addition, in a meta-analysis of non-female cancer patients from TCGA datasets and 12 independent studies, hazard ratios (HRs) with 95% confidence interval (CI) for overall survival (OS) and disease-free survival (DFS)/relapse-free survival (RFS)/metastasis-free survival (MFS)/progression-free survival (PFS) were pooled to assess the prognostic value of high H19 expression. Kaplan-Meier analysis revealed that patients with uterine corpus cancer and higher H19 expression had a shorter OS (HR=2.710, p<0.05), while females with cervical cancer and increased H19 expression had a shorter RFS (HR=2.261, p<0.05). Multivariate Cox regression analysis showed that high H19 expression could independently predict a poorer prognosis in cervical cancer patients (HR=4.099, p<0.05). In the meta-analysis, patients with high H19 expression showed a poorer outcome in non-female cancer (p<0.05). These results suggest that high lncRNA H19 expression is predictive of an unfavorable prognosis in two female cancers (uterine corpus endometrioid cancer and cervical cancer) as well as in non-female cancer patients.
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spelling pubmed-53520862017-04-13 High lncRNA H19 expression as prognostic indicator: data mining in female cancers and polling analysis in non-female cancers Peng, Li Yuan, Xiao-Qing Liu, Zhao-Yang Li, Wen-Ling Zhang, Chao-Yang Zhang, Ya-Qin Pan, Xi Chen, Jun Li, Yue-Hui Li, Guan-Cheng Oncotarget Research Paper Upregulation of lncRNA H19 expression is associated with an unfavorable prognosis in some cancers. However, the prognostic value of H19 in female-specific cancers has remained uncharacterized. In this study, the prognostic power of high H19 expression in female cancer patients from the TCGA datasets was analyzed using Kaplan-Meier survival curves and Cox's proportional hazard modeling. In addition, in a meta-analysis of non-female cancer patients from TCGA datasets and 12 independent studies, hazard ratios (HRs) with 95% confidence interval (CI) for overall survival (OS) and disease-free survival (DFS)/relapse-free survival (RFS)/metastasis-free survival (MFS)/progression-free survival (PFS) were pooled to assess the prognostic value of high H19 expression. Kaplan-Meier analysis revealed that patients with uterine corpus cancer and higher H19 expression had a shorter OS (HR=2.710, p<0.05), while females with cervical cancer and increased H19 expression had a shorter RFS (HR=2.261, p<0.05). Multivariate Cox regression analysis showed that high H19 expression could independently predict a poorer prognosis in cervical cancer patients (HR=4.099, p<0.05). In the meta-analysis, patients with high H19 expression showed a poorer outcome in non-female cancer (p<0.05). These results suggest that high lncRNA H19 expression is predictive of an unfavorable prognosis in two female cancers (uterine corpus endometrioid cancer and cervical cancer) as well as in non-female cancer patients. Impact Journals LLC 2016-12-01 /pmc/articles/PMC5352086/ /pubmed/27926484 http://dx.doi.org/10.18632/oncotarget.13768 Text en Copyright: © 2017 Peng et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Peng, Li
Yuan, Xiao-Qing
Liu, Zhao-Yang
Li, Wen-Ling
Zhang, Chao-Yang
Zhang, Ya-Qin
Pan, Xi
Chen, Jun
Li, Yue-Hui
Li, Guan-Cheng
High lncRNA H19 expression as prognostic indicator: data mining in female cancers and polling analysis in non-female cancers
title High lncRNA H19 expression as prognostic indicator: data mining in female cancers and polling analysis in non-female cancers
title_full High lncRNA H19 expression as prognostic indicator: data mining in female cancers and polling analysis in non-female cancers
title_fullStr High lncRNA H19 expression as prognostic indicator: data mining in female cancers and polling analysis in non-female cancers
title_full_unstemmed High lncRNA H19 expression as prognostic indicator: data mining in female cancers and polling analysis in non-female cancers
title_short High lncRNA H19 expression as prognostic indicator: data mining in female cancers and polling analysis in non-female cancers
title_sort high lncrna h19 expression as prognostic indicator: data mining in female cancers and polling analysis in non-female cancers
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352086/
https://www.ncbi.nlm.nih.gov/pubmed/27926484
http://dx.doi.org/10.18632/oncotarget.13768
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