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Quantitative assessment of aberrant P16(INK4a) methylation in ovarian cancer: a meta-analysis based on literature and TCGA datasets
Epigenetic alteration of P16(INK4a) is conventionally thought to induce the initiation of carcinoma. However, the role of P16(INK4a) methylation in ovarian cancer still remains controversial. Therefore, we performed a meta-analysis to further elucidate the relationship between P16(INK4a) promoter me...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove Medical Press
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124479/ https://www.ncbi.nlm.nih.gov/pubmed/30214298 http://dx.doi.org/10.2147/CMAR.S170818 |
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author | Ruan, Jie Xu, Peipei Fan, Wei Deng, Qiaoling Yu, Mingxia |
author_facet | Ruan, Jie Xu, Peipei Fan, Wei Deng, Qiaoling Yu, Mingxia |
author_sort | Ruan, Jie |
collection | PubMed |
description | Epigenetic alteration of P16(INK4a) is conventionally thought to induce the initiation of carcinoma. However, the role of P16(INK4a) methylation in ovarian cancer still remains controversial. Therefore, we performed a meta-analysis to further elucidate the relationship between P16(INK4a) promoter methylation and ovarian cancer. A total of 24 studies, including 20 on risk, 10 on clinicopathological features, and 3 on prognosis, were included in our meta-analysis. Our results indicated that the frequency of P16(INK4a) methylation in cancer tissues was significantly higher than normal tissues and low malignant potential tumor tissues (odds ratio [OR] =5.01, 95% CI=1.55–16.14; OR =1.88, 95% CI=1.10–3.19, respectively), but similar to benign tissues (OR =1.18, 95% CI=0.52–2.65). Furthermore, P16(INK4a) promoter methylation was not strongly correlated with age, clinical stage, tumor differentiation, or histological subtype in patients with ovarian cancer. Additionally, survival analysis showed that patients with P16(INK4a) promoter methylation had a shorter progression-free survival in univariate and multivariate Cox regression models (hazard ratio =1.68, 95% CI=1.26–2.24; hazard ratio =1.55, 95% CI=1.15–2.08; respectively). In The Cancer Genome Atlas datasets, the methylation levels of seven out of nine CpG sites were significantly increased in the ovarian tumor tissues compared with the normal tissues. In conclusion, the present meta-analysis suggests that P16(INK4a) promoter methylation may be useful in distinguishing malignant cancer from healthy ovarian tissues, and it may be a potential predictive marker for prognosis in patients with ovarian cancer. |
format | Online Article Text |
id | pubmed-6124479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61244792018-09-13 Quantitative assessment of aberrant P16(INK4a) methylation in ovarian cancer: a meta-analysis based on literature and TCGA datasets Ruan, Jie Xu, Peipei Fan, Wei Deng, Qiaoling Yu, Mingxia Cancer Manag Res Review Epigenetic alteration of P16(INK4a) is conventionally thought to induce the initiation of carcinoma. However, the role of P16(INK4a) methylation in ovarian cancer still remains controversial. Therefore, we performed a meta-analysis to further elucidate the relationship between P16(INK4a) promoter methylation and ovarian cancer. A total of 24 studies, including 20 on risk, 10 on clinicopathological features, and 3 on prognosis, were included in our meta-analysis. Our results indicated that the frequency of P16(INK4a) methylation in cancer tissues was significantly higher than normal tissues and low malignant potential tumor tissues (odds ratio [OR] =5.01, 95% CI=1.55–16.14; OR =1.88, 95% CI=1.10–3.19, respectively), but similar to benign tissues (OR =1.18, 95% CI=0.52–2.65). Furthermore, P16(INK4a) promoter methylation was not strongly correlated with age, clinical stage, tumor differentiation, or histological subtype in patients with ovarian cancer. Additionally, survival analysis showed that patients with P16(INK4a) promoter methylation had a shorter progression-free survival in univariate and multivariate Cox regression models (hazard ratio =1.68, 95% CI=1.26–2.24; hazard ratio =1.55, 95% CI=1.15–2.08; respectively). In The Cancer Genome Atlas datasets, the methylation levels of seven out of nine CpG sites were significantly increased in the ovarian tumor tissues compared with the normal tissues. In conclusion, the present meta-analysis suggests that P16(INK4a) promoter methylation may be useful in distinguishing malignant cancer from healthy ovarian tissues, and it may be a potential predictive marker for prognosis in patients with ovarian cancer. Dove Medical Press 2018-08-29 /pmc/articles/PMC6124479/ /pubmed/30214298 http://dx.doi.org/10.2147/CMAR.S170818 Text en © 2018 Ruan et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Review Ruan, Jie Xu, Peipei Fan, Wei Deng, Qiaoling Yu, Mingxia Quantitative assessment of aberrant P16(INK4a) methylation in ovarian cancer: a meta-analysis based on literature and TCGA datasets |
title | Quantitative assessment of aberrant P16(INK4a) methylation in ovarian cancer: a meta-analysis based on literature and TCGA datasets |
title_full | Quantitative assessment of aberrant P16(INK4a) methylation in ovarian cancer: a meta-analysis based on literature and TCGA datasets |
title_fullStr | Quantitative assessment of aberrant P16(INK4a) methylation in ovarian cancer: a meta-analysis based on literature and TCGA datasets |
title_full_unstemmed | Quantitative assessment of aberrant P16(INK4a) methylation in ovarian cancer: a meta-analysis based on literature and TCGA datasets |
title_short | Quantitative assessment of aberrant P16(INK4a) methylation in ovarian cancer: a meta-analysis based on literature and TCGA datasets |
title_sort | quantitative assessment of aberrant p16(ink4a) methylation in ovarian cancer: a meta-analysis based on literature and tcga datasets |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124479/ https://www.ncbi.nlm.nih.gov/pubmed/30214298 http://dx.doi.org/10.2147/CMAR.S170818 |
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