An epigenetic signature of adhesion molecules predicts poor prognosis of ovarian cancer patients | Zendy

PingYing Chang | Zendy; YuPing Liao | Zendy; Hui-Chen Wang | Zendy; YuChih Chen | Zendy; Rui Huang | Zendy; YuChi Wang | Zendy; ChiouChung Yuan | Zendy; Hung-Cheng Lai | Zendy

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An epigenetic signature of adhesion molecules predicts poor prognosis of ovarian cancer patients

Author(s) -

PingYing Chang,

YuPing Liao,

Hui-Chen Wang,

YuChih Chen,

Rui Huang,

YuChi Wang,

ChiouChung Yuan,

Hung-Cheng Lai

Publication year - 2017

Publication title -

oncotarget

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.373

H-Index - 127

ISSN - 1949-2553

DOI - 10.18632/oncotarget.18515

Subject(s) - epigenetics , hazard ratio , oncology , ovarian cancer , dna methylation , medicine , cancer , proportional hazards model , methylation , confidence interval , biology , cancer research , bioinformatics , gene , genetics , gene expression

DNA methylation is a promising biomarker for cancer. The epigenetic effects of cell adhesion molecules may affect the therapeutic outcome and the present study examined their effects on survival in ovarian cancer. We integrated methylomics and genomics datasets in The Cancer Genome Atlas (n = 391) and identified 106 highly methylated adhesion-related genes in ovarian cancer tissues. Univariate analysis revealed the methylation status of eight genes related to progression-free survival. In multivariate Cox regression analysis, four highly methylated genes ( CD97 , CTNNA1 , DLC1 , HAPLN2 ) and three genes ( LAMA4 , LPP , MFAP4 ) with low methylation were significantly associated with poor progression-free survival. Low methylation of VTN was an independent poor prognostic factor for overall survival after adjustment for age and stage. Patients who carried any two of CTNNA1 , DLC1 or MFAP4 were significantly associated with poor progression-free survival (hazard ratio: 1.59; 95% confidence interval: 1.23, 2.05). This prognostic methylation signature was validated in a methylomics dataset generated in our lab (n = 37, hazard ratio: 16.64; 95% confidence interval: 2.68, 103.14) and in another from the Australian Ovarian Cancer Study (n = 91, hazard ratio: 2.43; 95% confidence interval: 1.11, 5.36). Epigenetics of cell adhesion molecules is related to ovarian cancer prognosis. A more comprehensive methylomics of cell adhesion molecules is needed and may advance personalized treatment with adhesion molecule-related drugs.

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