Evidence map›Paper›PMID 27664835›Full record

ArticleJournal of pain and symptom management2016

Polymorphisms in Cytokine Genes Are Associated With Higher Levels of Fatigue and Lower Levels of Energy in Women After Breast Cancer Surgery.

Kord M Kober, Betty Smoot, Steven M Paul, Bruce A Cooper, Jon D Levine, Christine Miaskowski

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pain and symptom management, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Systematic review of genetic polymorphisms associated with psychoneurological symptoms in breast cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019
    Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. The functional TNF-αBreast cancer research and treatment · 2025
    Article
  7. Article
  8. The impact of non- and anthracycline-based chemotherapy on fatigue in breast cancer survivors: results from WF-97415.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  9. Review
  10. Article
  11. Cancer symptom cluster research in pediatric oncology: a work in progress.Exploration of targeted anti-tumor therapy · 2024
    Review
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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

6 authors at 1 institution in 1 country.

Kord M KoberSchool of Nursing, University of California, San Francisco, California, USA. Electronic address: kord.kober@ucsf.edu.
Betty SmootSchool of Medicine, University of California, San Francisco, California, USA.
Steven M PaulSchool of Nursing, University of California, San Francisco, California, USA.
Bruce A CooperSchool of Nursing, University of California, San Francisco, California, USA.
Jon D LevineSchool of Medicine, University of California, San Francisco, California, USA.
Christine MiaskowskiSchool of Nursing, University of California, San Francisco, California, USA.
University of California, San Francisco · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Symptom Management After Breast Cancer SurgeryR01CA107091 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A. · 2003 to 2008
$4.5M
Long-term Arm Morbidity Following Breast Cancer TreatmentR01CA118658 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A. · 2006 to 2010
$3.5M
Advancing the Science of Symptom Management in Oncology PatientsK05CA168960 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MIASKOWSKI, CHRISTINE A. · 2013 to 2017
$453k
NCI NIH HHS K05 CA168960NCI NIH HHS R01 CA107091NCI NIH HHS R01 CA118658NCRR NIH HHS UL1 RR024131
6 · The paper itself

Abstract

contextLittle is known about the phenotypic and molecular characteristics associated with changes over time in fatigue and lack of energy in patients with breast cancer.

objectivesThe aim of this study was to identify subgroups (i.e., latent classes) of women with distinct fatigue and energy trajectories; evaluate for differences in phenotypic characteristics between the latent classes for fatigue and energy; and evaluate for associations between polymorphisms in genes for pro- and anti-inflammatory cytokines, their receptors, and their transcriptional regulators and latent class membership.

methodsPatients were enrolled before and followed for six months after breast cancer surgery. Latent class analyses were done to identify subgroups of patients with distinct fatigue and energy trajectories. Candidate gene analyses were done to identify cytokine genes associated with these two symptoms.

resultsFor both fatigue and lack of energy, two distinct latent classes were identified. Phenotypic characteristics associated with the higher fatigue class were younger age, higher education, lower Karnofsky Performance Status score, higher comorbidity, higher number of lymph nodes removed, and receipt of chemotherapy (CTX). Polymorphisms in interleukin (IL) 1β and IL10 were associated with membership in the higher fatigue class. Phenotypic characteristics associated with the lower energy class included: a lower Karnofsky Performance Status score and a higher comorbidity score. A polymorphism in IL1R1 was associated with membership in the lower energy class.

conclusionWithin each latent class, the severity of fatigue and decrements in energy were relatively stable over the first six months after breast cancer surgery. Distinct phenotypic characteristics and genetic polymorphisms were associated with membership in the higher fatigue and lower energy classes.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAge FactorsAntineoplastic AgentsBreast NeoplasmsComorbidityCytokinesEducational StatusFatigueFemaleGenetic Association StudiesHumansKarnofsky Performance StatusLinear ModelsLogistic ModelsLongitudinal StudiesAntineoplastic AgentsCytokinesIL1R1 protein, humanReceptors, Interleukin-1 Type Ibreast cancercytokine genesenergyFatiguegrowth mixture modelingsymptom trajectories

Identifiers

PMID27664835
PMCPMC5107347
OpenAlexW2521625787

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.