Evidence map›Paper›PMID 32848137›Full record

ArticleTranslational psychiatry2020

Brain-derived neurotrophic factor polymorphism Val66Met protects against cancer-related fatigue.

Li Rebekah Feng, Paul Juneau, Jeniece M Regan, Josephine Liwang, Sarah Alshawi, Angela Wang, Leorey N Saligan

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Li Rebekah FengNational Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-0445-4088
Paul JuneauDivision of Biostatistics, NIH Library, Office of Research Services, National Institutes of Health, Bethesda, MD, USA.
Jeniece M ReganNational Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-5297-7265
Josephine LiwangNational Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-2140-7048
Sarah AlshawiNational Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.
Angela WangNational Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.
Leorey N SaliganNational Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA. saliganl@mail.nih.gov.ORCID http://orcid.org/0000-0001-9481-7836
National Institutes of Health · US

Funding

Investigating Correlates of Fatigue in Cancer Patients receiving TreatmentZIANR000020 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI SALIGAN, LEOREY · 2011 to 2022
$15.1M
Intramural NIH HHS ZIA NR000020
6 · The paper itself

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.

Indexed as

Brain-Derived Neurotrophic FactorNeoplasmsFatigueGenetic Predisposition to DiseaseGenotypeHumansPolymorphism, Single NucleotideQuality of LifeBDNF protein, humanBrain-Derived Neurotrophic Factor

Identifiers

PMID32848137
PMCPMC7450091
OpenAlexW3080998919

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.