Evidence map›Paper›PMID 26872611›Full record

ArticleBMC genetics2016

MAPK1/ERK2 as novel target genes for pain in head and neck cancer patients.

Cielito C Reyes-Gibby, Jian Wang, Mary Rose T Silvas, Robert Yu, Sai-Ching J Yeung, Sanjay Shete

Abstract read
In one paragraph

Article in BMC genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Bioengineered · 2022
    Article
  4. Article
  5. Article
  6. Frontiers in immunology · 2021
    Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Gallbladder cancer integrated bioinformatics analysis of protein profile data.Gastroenterology and hepatology from bed to bench · 2019
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  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

6 authors.

Cielito C Reyes-GibbyDepartment of Emergency Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, U.S.A.. creyes@mdanderson.org.
Jian WangDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, U.S.A.. jianwang@mdanderson.org.
Mary Rose T SilvasDepartment of Emergency Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, U.S.A.. MTSilvas@mdanderson.org.
Robert YuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, U.S.A.. rkyu@mdanderson.org.
Sai-Ching J YeungDepartment of Emergency Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, U.S.A.. syeung@mdanderson.org.
Sanjay SheteDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, U.S.A.. sshete@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
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
Genome Wide Association Study of Head and Neck CancerR01CA131324 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHETE, SANJAY · 2009 to 2013
$2.8M
Innovative Multidisciplinary Education: The Statistical Genetics of AddictionR25DA026120 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHANG, SHINE, SHETE, SANJAY · 2010 to 2014
$1.5M
Method to analyze X-chromosomal genetic dataR03CA192197 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WANG, JIAN · 2015 to 2016
$160k
NCATS NIH HHS UL1 TR000371NCI NIH HHS 1R01CA131324NCI NIH HHS CA016672NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA131324NCI NIH HHS R03 CA192197NCI NIH HHS R03CA192197NIDA NIH HHS R25 DA026120NIDA NIH HHS R25DA026120NIDCR NIH HHS R01 DE022891NIDCR NIH HHS R01DE022891
6 · The paper itself

Abstract

backgroundGenetic susceptibility plays an important role in the risk of developing pain in individuals with cancer. As a complex trait, multiple genes underlie this susceptibility. We used gene network analyses to identify novel target genes associated with pain in patients newly diagnosed with squamous cell carcinoma of the head and neck (HNSCC).

resultsWe first identified 36 cancer pain-related genes (i.e., focus genes) from 36 publications based on a literature search. The Ingenuity Pathway Analysis (IPA) analysis identified additional genes that are functionally related to the 36 focus genes through pathway relationships yielding a total of 82 genes. Subsequently, 800 SNPs within the 82 IPA-selected genes on the Illumina HumanOmniExpress-12v1 platform were selected from a large-scale genotyping effort. Association analyses between the 800 candidate SNPs (covering 82 genes) and pain in a patient cohort of 1368 patients with HNSCC (206 patients with severe pain vs. 1162 with non-severe pain) showed the highest significance for MAPK1/ERK2, a gene belonging to the MAP kinase family (rs8136867, p value = 8.92 × 10(-4); odds ratio [OR] = 1.33, 95 % confidence interval [CI]: 1.13-1.58). Other top genes were PIK3C2G (a member of PI3K [complex], rs10770367, p value = 1.10 × 10(-3); OR = 1.46, 95 % CI: 1.16-1.82), TCRA (the alpha chain of T-cell receptor, rs6572493, p value = 2.84 × 10(-3); OR = 0.70, 95 % CI: 0.55-0.88), PDGFC (platelet-derived growth factor C, rs6845322, p value = 4.88 × 10(-3); OR = 1.32, 95 % CI: 1.09-1.60), and CD247 (a member of CD3, rs2995082, p value = 7.79 × 10(-3); OR = 0.76, 95 % CI: 0.62-0.93).

conclusionsOur findings provide novel candidate genes and biological pathways underlying pain in cancer patients. Further study of the variations of these candidate genes could inform clinical decision making when treating cancer pain.

Indexed as

Genetic TherapyAgedCarcinoma, Squamous CellCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenotyping TechniquesHead and Neck NeoplasmsHumansLymphokinesMaleMiddle AgedMitogen-Activated Protein Kinase 1PainPhenotypePhosphatidylinositol 3-KinasesLymphokinesMAPK1 protein, humanMitogen-Activated Protein Kinase 1Phosphatidylinositol 3-KinasesPlatelet-Derived Growth Factorplatelet-derived growth factor C

Identifiers

PMID26872611
PMCPMC4752805

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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.