Evidence map›Paper›PMID 23149083›Full record

ArticleJournal of pain and symptom management2013

Genetic variations in interleukin-8 and interleukin-10 are associated with pain, depressed mood, and fatigue in lung cancer patients.

Cielito C Reyes-Gibby, Jian Wang, Margaret Spitz, Xifeng Wu, Sriram Yennurajalingam, Sanjay Shete

Abstract read
In one paragraph

Article in Journal of pain and symptom management, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

48 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Genetic Contributions of Inflammation to Depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
    Pooled it
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  6. The biology of cancer-related fatigue: a review of the literature.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2015
    Pooled it
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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.

Cielito C Reyes-GibbyDepartment of Emergency Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA. creyes@mdanderson.org
Jian Wang
Margaret Spitz
Xifeng Wu
Sriram Yennurajalingam
Sanjay Shete

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
Inflammation Genes and Lung Cancer RiskR01CA127219 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SPITZ, MARGARET R · 2008 to 2013
$3.1M
Molecular Epidemiology of Neuropathic Pain in Head and Neck CancerR01DE022891 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI REYES-GIBBY, CIELITO C, SHETE, SANJAY · 2012 to 2016
$3.0M
Gene Polymorphism &Treatment-Symptoms in Lung CancerK07CA109043 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI REYES-GIBBY, CIELITO C · 2004 to 2008
$673k
Cytokine Polymorphisms and Cancer Related PainR03CA128069 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI REYES-GIBBY, CIELITO C · 2008 to 2009
$154k
NCI NIH HHS CA016672NCI NIH HHS CA109043NCI NIH HHS CA127219-02NCI NIH HHS CA128069NCI NIH HHS K07 CA109043NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA127219NCI NIH HHS R03 CA128069NCRR NIH HHS UL1 RR024148NIDCR NIH HHS DE022891NIDCR NIH HHS R01 DE022891
6 · The paper itself

Abstract

contextA report by the National Cancer Institute identified that an important gap in symptom research is the investigation of multiple symptoms of cancer that might identify common biological mechanisms among cancer-related symptoms.

objectivesWe applied novel statistical methods to assess whether variants of 37 inflammation genes may serve as biologic markers of risk for severe pain, depressed mood, and fatigue in non-Hispanic white patients with non-small cell lung cancer.

methodsPain, fatigue, and depressed mood were assessed before cancer treatment. We used a generalized, multivariate, classification tree approach to explore the influence of single-nucleotide polymorphisms in the inflammation genes in pain, depressed mood, and fatigue in lung cancer patients.

resultsAmong patients with advanced-stage disease, interleukin (IL)-8-T251A was the most relevant genetic factor for pain (odds ratio [OR] = 2.18, 95% CI = 1.34-3.55, P = 0.001), depressed mood (OR = 0.37, 95% CI = 0.14-1.0), and fatigue (OR = 2.07, 95% CI = 1.16-3.70). Among those with early-stage non-small cell lung cancer, variants in the IL-10 receptor were relevant for fatigue among women. Specifically, women with Lys_Glu or Glu_Glu genotype in the IL-10 gene had a 0.49 times lower risk of severe fatigue compared with those with Lys_Lys genotype (OR = 0.49, 95% CI = 0.25-0.92, P = 0.027). Among men with early-stage lung cancer, a marginal significance was observed for IL-1A C-889T, C/T, or T/T genotypes. These men had a lower risk of severe fatigue compared with those with C/C genotype (OR = 0.38, 95% CI = 0.13-1.06).

conclusionThe interaction of multiple inflammation genes, along with nongenetic factors, underlies the occurrence of symptoms. IL-8 and IL-10 may serve as potential targets for treating multiple symptoms of cancer.

Indexed as

AgedAged, 80 and overCausalityComorbidityCytokinesDepressionFatigueFemaleGenetic Association StudiesGenetic MarkersGenetic Predisposition to DiseaseHumansInterleukin-10Interleukin-8Lung NeoplasmsMaleCytokinesGenetic MarkersInterleukin-10Interleukin-8cytokinesdepressionfatiguegenesPainsymptoms

Identifiers

PMID23149083
PMCPMC3578112

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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.