Evidence map›Paper›PMID 28947144›Full record

ArticleJournal of pain and symptom management2018

Cytokine Gene Polymorphisms Associated With Various Domains of Quality of Life in Women With Breast Cancer.

Kimberly Alexander, Yvette P Conley, Jon D Levine, Bruce A Cooper, Steven M Paul, Judy Mastick, Claudia West, Christine Miaskowski

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

Article in Journal of pain and symptom management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. The functional TNF-αBreast cancer research and treatment · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Genetic polymorphisms and haplotypes of BRCA1 gene associated with quality of life and survival among patients with non-small-cell lung cancer.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
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

8 authors at 3 institutions in 2 countries.

Kimberly AlexanderQueensland University of Technology, Brisbane, Australia.
Yvette P ConleyUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jon D LevineUniversity of California, San Francisco, California, USA.
Bruce A CooperUniversity of California, San Francisco, California, USA.
Steven M PaulUniversity of California, San Francisco, California, USA.
Judy MastickUniversity of California, San Francisco, California, USA.
Claudia WestUniversity of California, San Francisco, California, USA.
Christine MiaskowskiUniversity of California, San Francisco, California, USA. Electronic address: chris.miaskowski@ucsf.edu.
University of California, San Francisco · USQueensland University of Technology · AUUniversity of Pittsburgh · 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 various domains of quality of life (QOL) in women after breast cancer surgery.

objectivesIn a sample of women with breast cancer (n = 398), purposes were as follows: to identify latent classes with distinct trajectories of QOL from before surgery through six months after surgery and to evaluate for differences in demographic and clinical characteristics, as well as for polymorphisms in cytokine genes, between these latent classes.

methodsLatent class analyses were done to identify subgroups of patients with distinct QOL outcomes. Candidate gene analyses were done to identify cytokine gene polymorphisms associated with various domains of QOL (i.e., physical, psychological, spiritual, social).

resultsOne latent class was identified for the psychological and spiritual domains. Two latent classes were identified for the social domain and overall QOL scores. Three latent classes were identified for the physical domain. For the physical and social domains, as well as for the overall QOL scores, distinct phenotypic characteristics (i.e., younger age, poorer functional status, higher body mass index, and receipt of adjuvant chemotherapy) and a number of cytokine gene polymorphisms (CXCL8, NFKB2, TNFSF, IL1B, IL13, and NFKB1) were associated with membership in the lower QOL classes.

conclusionsFindings suggest that women experience distinctly different physical well-being, social well-being, and total QOL outcomes during and after breast cancer surgery. The genetic associations identified suggest that cytokine dysregulation influences QOL outcomes. However, specific QOL domains may be impacted by different cytokines.

Indexed as

Polymorphism, Single NucleotideQuality of LifeAntineoplastic AgentsBreastBreast NeoplasmsCombined Modality TherapyCytokinesFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansLongitudinal StudiesMiddle AgedPhenotypeAntineoplastic AgentsCytokinesbreast cancercytokine genesgrowth mixture modelingpolymorphismQuality of life

Identifiers

PMID28947144
PMCPMC5794537
OpenAlexW2760637336

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.