- Author:
Hee Ju KANG
1
;
Jae Min KIM
;
Seon Young KIM
;
Sung Wan KIM
;
Il Seon SHIN
;
Hye Ran KIM
;
Min Ho PARK
;
Myung Geun SHIN
;
Jung Han YOON
;
Jin Sang YOON
Author Information
- Publication Type:Original Article
- Keywords: Breast cancer; Depression; BDNF; DNA methylation; Epigenetics
- MeSH: Brain-Derived Neurotrophic Factor*; Breast Neoplasms*; Breast*; Depression*; Diagnosis; Diagnostic and Statistical Manual of Mental Disorders; DNA; DNA Methylation; Epigenomics; Humans; Leukocytes; Linear Models; Logistic Models; Longitudinal Studies*; Mastectomy; Methylation*
- From:Psychiatry Investigation 2015;12(4):523-531
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: Brain-derived neurotrophic factor (BDNF) is investigated in depression related to medical disorders and its secretion is influenced by epigenetic factors. We investigated the association between BDNF promoter methylation and depression following mastectomy for breast cancer. METHODS: In total, 309 patients with breast cancer were evaluated 1 week after mastectomy, and 244 (79%) were followed up 1 year later. Depression was diagnosed (major or minor depressive disorder) according to DSM-IV criteria and depression severity was estimated by Montgomery-Asberg Depression Rating Scale (MADRS). We assessed BDNF promoter methylation using leukocyte DNA. The effects of BDNF methylation on depression diagnosis and severity were investigated using multivariate logistic and linear regression models, respectively. The two-way interaction between BDNF methylation and the val66met polymorphism on depression was also evaluated using multivariate logistic regression models. RESULTS: Higher BDNF methylation was independently associated with depression diagnosis and with more severe symptoms at both 1 week and 1 year after mastectomy. No significant methylation-genotype interactions were found. CONCLUSION: A role for BDNF in depression related to breast cancer was supported. Indeed, the association between depression and BDNF methylation may be useful for identifying patients who are at high risk for depression and for suggesting directions for promising drug research.