Evidence map›Paper›PMID 26044620›Full record

ArticleBMC systems biology2015

Gene network analysis shows immune-signaling and ERK1/2 as novel genetic markers for multiple addiction phenotypes: alcohol, smoking and opioid addiction.

Cielito C Reyes-Gibby, Christine Yuan, Jian Wang, Sai-Ching J Yeung, Sanjay Shete

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

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  11. Frontiers in immunology · 2021
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  18. Infrequently expressed miRNAs in colorectal cancer tissue and tumor molecular phenotype.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
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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

5 authors at 1 institution in 1 country.

Cielito C Reyes-GibbyDepartment of Emergency Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. creyes@mdanderson.org.
Christine YuanDepartment of Emergency Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. cyuan95@yahoo.com.
Jian WangDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. jianwang@mdanderson.org.
Sai-Ching J YeungDepartment of Emergency Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. syeung@mdanderson.org.
Sanjay SheteDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. sshete@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
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
NIDCR NIH HHS R01 DE022891
6 · The paper itself

Abstract

backgroundAddictions to alcohol and tobacco, known risk factors for cancer, are complex heritable disorders. Addictive behaviors have a bidirectional relationship with pain. We hypothesize that the associations between alcohol, smoking, and opioid addiction observed in cancer patients have a genetic basis. Therefore, using bioinformatics tools, we explored the underlying genetic basis and identified new candidate genes and common biological pathways for smoking, alcohol, and opioid addiction.

resultsLiterature search showed 56 genes associated with alcohol, smoking and opioid addiction. Using Core Analysis function in Ingenuity Pathway Analysis software, we found that ERK1/2 was strongly interconnected across all three addiction networks. Genes involved in immune signaling pathways were shown across all three networks. Connect function from IPA My Pathway toolbox showed that DRD2 is the gene common to both the list of genetic variations associated with all three addiction phenotypes and the components of the brain neuronal signaling network involved in substance addiction. The top canonical pathways associated with the 56 genes were: 1) calcium signaling, 2) GPCR signaling, 3) cAMP-mediated signaling, 4) GABA receptor signaling, and 5) G-alpha i signaling. CONLUSIONS: Cancer patients are often prescribed opioids for cancer pain thus increasing their risk for opioid abuse and addiction. Our findings provide candidate genes and biological pathways underlying addiction phenotypes, which may be future targets for treatment of addiction. Further study of the variations of the candidate genes could allow physicians to make more informed decisions when treating cancer pain with opioid analgesics.

Indexed as

Computational BiologyGene Regulatory NetworksAlcoholismExtracellular Signal-Regulated MAP KinasesGenetic MarkersGenetic Predisposition to DiseaseHumansMitogen-Activated Protein Kinase 1Mitogen-Activated Protein Kinase 3Opioid-Related DisordersPhenotypePolymorphism, Single NucleotideSignal TransductionSmokingExtracellular Signal-Regulated MAP KinasesGenetic MarkersMitogen-Activated Protein Kinase 1Mitogen-Activated Protein Kinase 3

Identifiers

PMID26044620
PMCPMC4456775
OpenAlexW1496252047

What OpenQuestion holds

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LicenceCC BY
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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.