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MAPK1/ERK2 as novel target genes for pain in head and neck cancer patients
BACKGROUND: Genetic 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 sq...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4752805/ https://www.ncbi.nlm.nih.gov/pubmed/26872611 http://dx.doi.org/10.1186/s12863-016-0348-7 |
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author | Reyes-Gibby, Cielito C. Wang, Jian Silvas, Mary Rose T. Yu, Robert Yeung, Sai-Ching J. Shete, Sanjay |
author_facet | Reyes-Gibby, Cielito C. Wang, Jian Silvas, Mary Rose T. Yu, Robert Yeung, Sai-Ching J. Shete, Sanjay |
author_sort | Reyes-Gibby, Cielito C. |
collection | PubMed |
description | BACKGROUND: Genetic 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). RESULTS: We 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). CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12863-016-0348-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4752805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47528052016-02-14 MAPK1/ERK2 as novel target genes for pain in head and neck cancer patients Reyes-Gibby, Cielito C. Wang, Jian Silvas, Mary Rose T. Yu, Robert Yeung, Sai-Ching J. Shete, Sanjay BMC Genet Research Article BACKGROUND: Genetic 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). RESULTS: We 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). CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12863-016-0348-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-13 /pmc/articles/PMC4752805/ /pubmed/26872611 http://dx.doi.org/10.1186/s12863-016-0348-7 Text en © Reyes-Gibby et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Reyes-Gibby, Cielito C. Wang, Jian Silvas, Mary Rose T. Yu, Robert Yeung, Sai-Ching J. Shete, Sanjay MAPK1/ERK2 as novel target genes for pain in head and neck cancer patients |
title | MAPK1/ERK2 as novel target genes for pain in head and neck cancer patients |
title_full | MAPK1/ERK2 as novel target genes for pain in head and neck cancer patients |
title_fullStr | MAPK1/ERK2 as novel target genes for pain in head and neck cancer patients |
title_full_unstemmed | MAPK1/ERK2 as novel target genes for pain in head and neck cancer patients |
title_short | MAPK1/ERK2 as novel target genes for pain in head and neck cancer patients |
title_sort | mapk1/erk2 as novel target genes for pain in head and neck cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4752805/ https://www.ncbi.nlm.nih.gov/pubmed/26872611 http://dx.doi.org/10.1186/s12863-016-0348-7 |
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