Evidence map›Paper›PMID 22454423›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2012

Genetic variations and patient-reported quality of life among patients with lung cancer.

Jeff A Sloan, Mariza de Andrade, Paul Decker, Jason Wampfler, Curtis Oswold, Matthew Clark, Ping Yang

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  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
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  14. Biological pathways, candidate genes, and molecular markers associated with quality-of-life domains: an update.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014
    Review
  15. Cytokine genetic variations and fatigue among patients with breast cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2013
    Article
  16. Review
  17. 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

7 authors at 1 institution in 1 country.

Jeff A SloanMayo Clinic, Rochester, MN 55905, USA. jsloan@mayo.edu
Mariza de Andrade
Paul Decker
Jason Wampfler
Curtis Oswold
Matthew Clark
Ping Yang
Mayo Clinic · US

Funding

ALPHA 1 AD CARRIERS AND LUNG CANCER RISKR01CA080127 · NCI · MAYO CLINIC ROCHESTER · PI YANG, PING · 2000 to 2009
$4.4M
Genetic Determinants of Lung Cancer SurvivalR01CA084354 · NCI · MAYO CLINIC ROCHESTER · PI YANG, PING · 2001 to 2012
$4.0M
DEVELOPMENT OF LUNG CANCER EPIDEMIOLOGY RESEARCHR03CA077118 · NCI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI YANG, PING · 1997 to 1998
–
NCI NIH HHS CA80127NCI NIH HHS CA84354NCI NIH HHS R01 CA080127NCI NIH HHS R01 CA084354NCI NIH HHS R03 CA077118
6 · The paper itself

Abstract

purposeRecent evidence has suggested a relationship between the baseline quality of life (QOL) self-reported by patients with cancer and genetic disposition. We report an analysis exploring relationships among baseline QOL assessments and candidate genetic variations in a large cohort of patients with lung cancer. PATIENTS AND

methodsQOL data were provided by 1,299 patients with non-small-cell lung cancer observed at the Mayo Clinic between 1997 and 2007. Overall QOL and subdomains were assessed by either Lung Cancer Symptom Scale or Linear Analog Self Assessment measures; scores were transformed to a scale of 0 to 10, with higher scores representing better status. Baseline QOL scores assessed within 1 year of diagnosis were dichotomized as clinically deficient (CD) or not. A total of 470 single nucleotide polymorphisms (SNPs) in 56 genes of three biologic pathways were assessed for association with QOL measures. Logistic regression with training/validation samples was used to test the association of SNPs with CD QOL.

resultsSix SNPs on four genes were replicated using our split schemes. Three SNPs in the MGMT gene (adjusted analysis, rs3858300; unadjusted analysis, rs10741191 and rs3852507) from DNA repair pathway were associated with overall QOL. Two SNPs (rs2287396 [GSTZ1] and rs9524885 [ABCC4]) from glutathione metabolic pathway were associated with fatigue in unadjusted analysis. In adjusted analysis, two SNPs (rs2756109 [ABCC2] and rs9524885 [ABCC4]) from glutathione metabolic pathway were associated with pain.

conclusionWe identified three SNPs in three glutathione metabolic pathway genes and three SNPs in two DNA repair pathway genes associated with QOL measures in patients with non-small-cell lung cancer.

Indexed as

Genetic VariationQuality of LifeAdultAgedAged, 80 and overATP-Binding Cassette, Sub-Family C ProteinsCarcinoma, Non-Small-Cell LungCohort StudiesCombined Modality TherapyDisease-Free SurvivalDNA Modification MethylasesDNA Repair EnzymesFemaleGene Expression Regulation, NeoplasticGlutathione TransferaseHumansABCC2 protein, humanABCC4 protein, humanATP-Binding Cassette, Sub-Family C ProteinsDNA Modification MethylasesDNA Repair EnzymesGlutathione TransferaseGSTZ1 protein, humanMGMT protein, humanMultidrug Resistance-Associated Protein 2Tumor Suppressor Proteins

Identifiers

PMID22454423
PMCPMC3383115
OpenAlexW2147434436

What OpenQuestion holds

Textmetadata
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.