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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...

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Autores principales: Ruan, Jie, Xu, Peipei, Fan, Wei, Deng, Qiaoling, Yu, Mingxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
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.
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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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