| Title |
Quantitative assessment of aberrant P16INK4a methylation in ovarian cancer: a meta-analysis based on literature and TCGA datasets
|
|---|---|
| Published in |
Cancer Management and Research, August 2018
|
| DOI | 10.2147/cmar.s170818 |
| Pubmed ID | |
| Authors |
Jie Ruan, Peipei Xu, Wei Fan, Qiaoling Deng, Mingxia Yu |
| Abstract |
Epigenetic alteration of P16INK4a is conventionally thought to induce the initiation of carcinoma. However, the role of P16INK4a methylation in ovarian cancer still remains controversial. Therefore, we performed a meta-analysis to further elucidate the relationship between P16INK4a 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 P16INK4a 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, P16INK4a 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 P16INK4a 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 P16INK4a 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. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 20% |
| Student > Ph. D. Student | 1 | 10% |
| Unspecified | 1 | 10% |
| Lecturer | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 20% |
| Medicine and Dentistry | 2 | 20% |
| Agricultural and Biological Sciences | 1 | 10% |
| Unspecified | 1 | 10% |
| Unknown | 4 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 September 2018.
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#18,649,291
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Outputs from Cancer Management and Research
#1,057
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#254,552
of 331,046 outputs
Outputs of similar age from Cancer Management and Research
#54
of 89 outputs
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