Association of genetic variants with fatigue in patients with malignant glioma.

Autor: Armstrong TS; Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland., Vera E; Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland., Zhou R; Department of Pediatrics, Baylor College of Medicine, Houston, Texas.; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas., Acquaye AA; Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland., Sullaway CM; Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Berger AM; University of Nebraska Medical Center, Omaha, Nebraska., Breton G; McGovern Medical School, Houston, Texas., Mahajan A; Mayo Clinic, Rochester, MN., Wefel JS; Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Gilbert MR; Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland., Bondy M; Department of Medicine, Baylor College of Medicine, Houston, Texas.; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas., Scheurer ME; Department of Pediatrics, Baylor College of Medicine, Houston, Texas.; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas.
Jazyk: angličtina
Zdroj: Neuro-oncology practice [Neurooncol Pract] 2018 May; Vol. 5 (2), pp. 122-128. Date of Electronic Publication: 2017 Sep 19.
DOI: 10.1093/nop/npx020
Abstrakt: Background: Fatigue is a consistently reported, severe symptom among patients with gliomas throughout the disease trajectory. Genomic pathways associated with fatigue in glioma patients have yet to be identified.
Methods: Clinical factors (performance status, tumor details, age, gender) were collected by chart review on glioma patients with fatigue ("I have lack of energy" on Functional Assessment of Cancer Therapy-Brain), as well as available genotyping data. Candidate genes in clock and inflammatory pathways were identified from a literature review, of which 50 single nucleotide polymorphisms (SNPs) in 7 genes were available. Clinical factors and SNPs identified by univariate analyses were included in a multivariate model for moderate-severe fatigue.
Results: The study included 176 patients (median age = 47 years, 67% males). Moderate-severe fatigue was reported by 43%. Results from multivariate analysis revealed poor performance status and 2 SNPs were associated with fatigue severity. Moderate-severe fatigue was more common in patients with poor performance status (OR = 3.52, P < .01). For each additional copy of the minor allele in rs934945 ( PER2 ) the odds of fatigue decreased (OR = 0.51, P < .05). For each additional copy of the minor allele in rs922270 ( ARTNL2 ) the odds of fatigue increased (OR = 2.38, P < .01). Both of these genes are important in the circadian clock pathway, which has been implicated in diurnal preference, and duration and quality of sleep. No genes in the inflammatory pathway were associated with fatigue in the current study.
Conclusions: Identifying patients at highest risk for fatigue during treatment allows for improved clinical monitoring and enrichment of patient selection for clinical trials.
Databáze: MEDLINE
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