Abstract

Cancer-related fatigue is an extremely common and debilitating psychiatric symptom that affects up to 80% of cancer patients. Despite its negative impact on the patient’s quality of life, there is no well-established biomarker or mechanisms associated with this debilitating condition. The functional brain-derived neurotrophic factor (BDNF) Val66Met single nucleotide polymorphism (SNP) has been associated with a variety of psychiatric illnesses. We hypothesized that Val66Met may influence the risk for developing cancer-related fatigue. BDNF Val66Met was analyzed by polymerase chain reaction in 180 patients with confirmed cancer diagnoses. Fatigue was measured using the Functional Assessment of Cancer Therapy-Fatigue (FACIT-Fatigue) questionnaire. Depression was measured using the Hamilton Depression Scale (HAM-D). Data were transformed when necessary and regression models were constructed to access the association between genotype and symptom severity. Participants carrying the Met allele reported significantly less fatigue compared to the Val/Val genotype group. The presence of the Met allele did not influence depression levels. The results suggest that the BDNF Val66Met polymorphism confers protective advantage against cancer-related fatigue; whereas having the Val/Val genotype may be a genetic risk factor. Findings from this study not only provide clues to the neural basis of cancer-related fatigue, but also allow for symptom severity prediction and patient education with the goal to improve symptom management.

Details

Title
Brain-derived neurotrophic factor polymorphism Val66Met protects against cancer-related fatigue
Author
Feng Li Rebekah 1   VIAFID ORCID Logo  ; Juneau, Paul 2 ; Regan, Jeniece M 1   VIAFID ORCID Logo  ; Liwang Josephine 1   VIAFID ORCID Logo  ; Alshawi, Sarah 1 ; Wang, Angela 1 ; Saligan, Leorey N 1   VIAFID ORCID Logo 

 National Institute of Nursing Research, National Institutes of Health, Bethesda, USA (GRID:grid.280738.6) (ISNI:0000 0001 0035 9863) 
 NIH Library, Office of Research Services, National Institutes of Health, Division of Biostatistics, Bethesda, USA (GRID:grid.484471.a) (ISNI:0000 0004 0433 1413); Contractor- Zimmerman Associates, Inc., Fairfax, USA (GRID:grid.456380.c) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
21583188
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2437277909
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.