Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Chang PY 

PROVIDER: S-EPMC5581121 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Chang Ping-Ying PY   Liao Yu-Ping YP   Wang Hui-Chen HC   Chen Yu-Chih YC   Huang Rui-Lan RL   Wang Yu-Chi YC   Yuan Chiou-Chung CC   Lai Hung-Cheng HC  

Oncotarget 20170616 32


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 multiv  ...[more]

Similar Datasets

| S-EPMC3943526 | biostudies-literature
| S-EPMC2793425 | biostudies-literature
| S-EPMC5126584 | biostudies-literature
| S-EPMC10060368 | biostudies-literature
| S-EPMC6688357 | biostudies-literature
2023-12-11 | GSE249935 | GEO
| S-EPMC4976329 | biostudies-literature
| S-EPMC4694838 | biostudies-literature
| S-EPMC6858973 | biostudies-literature
| S-EPMC10392027 | biostudies-literature