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Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study

BACKGROUND: Adjuvant radiotherapy (RT) can increase the risk of developing pain; however, the molecular mechanisms of RT-related pain remain unclear. The current study aimed to identify susceptibility loci and enriched pathways for clinically relevant acute post-RT pain, defined as having moderate t...

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Autores principales: Lee, Eunkyung, Takita, Cristiane, Wright, Jean L., Slifer, Susan H., Martin, Eden R., Urbanic, James J., Langefeld, Carl D., Lesser, Glenn J., Shaw, Edward G., Hu, Jennifer J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567461/
https://www.ncbi.nlm.nih.gov/pubmed/31196165
http://dx.doi.org/10.1186/s40246-019-0212-8
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author Lee, Eunkyung
Takita, Cristiane
Wright, Jean L.
Slifer, Susan H.
Martin, Eden R.
Urbanic, James J.
Langefeld, Carl D.
Lesser, Glenn J.
Shaw, Edward G.
Hu, Jennifer J.
author_facet Lee, Eunkyung
Takita, Cristiane
Wright, Jean L.
Slifer, Susan H.
Martin, Eden R.
Urbanic, James J.
Langefeld, Carl D.
Lesser, Glenn J.
Shaw, Edward G.
Hu, Jennifer J.
author_sort Lee, Eunkyung
collection PubMed
description BACKGROUND: Adjuvant radiotherapy (RT) can increase the risk of developing pain; however, the molecular mechanisms of RT-related pain remain unclear. The current study aimed to identify susceptibility loci and enriched pathways for clinically relevant acute post-RT pain, defined as having moderate to severe pain (pain score ≥ 4) at the completion of RT. METHODS: We conducted a genome-wide association study (GWAS) with 1,344,832 single-nucleotide polymorphisms (SNPs), a gene-based analysis using PLINK set-based tests of 19,621 genes, and a functional enrichment analysis of a gene list of 875 genes with p < 0.05 using NIH DAVID functional annotation module with KEGG pathways and GO terms (n = 380) among 1112 breast cancer patients. RESULTS: About 29% of patients reported acute post-RT pain. None of SNPs nor genes reached genome-wide significant level. Four SNPs showed suggestive associations with post-RT pain; rs16970540 in RFFL or near the LIG3 gene (p = 1.7 × 10(−6)), rs4584690, and rs7335912 in ABCC4/MPR4 gene (p = 5.5 × 10(−6) and p = 7.8 × 10(−6), respectively), and rs73633565 in EGFL6 gene (p = 8.1 × 10(−6)). Gene-based analysis suggested the potential involvement of neurotransmitters, olfactory receptors, and cytochrome P450 in post-RT pain, whereas functional analysis showed glucuronidation (FDR-adjusted p value = 9.46 × 10(−7)) and olfactory receptor activities (FDR-adjusted p value = 0.032) as the most significantly enriched biological features. CONCLUSIONS: This is the first GWAS suggesting that post-RT pain is a complex polygenic trait influenced by many biological processes and functions such as glucuronidation and olfactory receptor activities. If validated in larger populations, the results can provide biological targets for pain management to improve cancer patients’ quality of life. Additionally, these genes can be further tested as predictive biomarkers for personalized pain management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40246-019-0212-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-65674612019-06-17 Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study Lee, Eunkyung Takita, Cristiane Wright, Jean L. Slifer, Susan H. Martin, Eden R. Urbanic, James J. Langefeld, Carl D. Lesser, Glenn J. Shaw, Edward G. Hu, Jennifer J. Hum Genomics Primary Research BACKGROUND: Adjuvant radiotherapy (RT) can increase the risk of developing pain; however, the molecular mechanisms of RT-related pain remain unclear. The current study aimed to identify susceptibility loci and enriched pathways for clinically relevant acute post-RT pain, defined as having moderate to severe pain (pain score ≥ 4) at the completion of RT. METHODS: We conducted a genome-wide association study (GWAS) with 1,344,832 single-nucleotide polymorphisms (SNPs), a gene-based analysis using PLINK set-based tests of 19,621 genes, and a functional enrichment analysis of a gene list of 875 genes with p < 0.05 using NIH DAVID functional annotation module with KEGG pathways and GO terms (n = 380) among 1112 breast cancer patients. RESULTS: About 29% of patients reported acute post-RT pain. None of SNPs nor genes reached genome-wide significant level. Four SNPs showed suggestive associations with post-RT pain; rs16970540 in RFFL or near the LIG3 gene (p = 1.7 × 10(−6)), rs4584690, and rs7335912 in ABCC4/MPR4 gene (p = 5.5 × 10(−6) and p = 7.8 × 10(−6), respectively), and rs73633565 in EGFL6 gene (p = 8.1 × 10(−6)). Gene-based analysis suggested the potential involvement of neurotransmitters, olfactory receptors, and cytochrome P450 in post-RT pain, whereas functional analysis showed glucuronidation (FDR-adjusted p value = 9.46 × 10(−7)) and olfactory receptor activities (FDR-adjusted p value = 0.032) as the most significantly enriched biological features. CONCLUSIONS: This is the first GWAS suggesting that post-RT pain is a complex polygenic trait influenced by many biological processes and functions such as glucuronidation and olfactory receptor activities. If validated in larger populations, the results can provide biological targets for pain management to improve cancer patients’ quality of life. Additionally, these genes can be further tested as predictive biomarkers for personalized pain management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40246-019-0212-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-13 /pmc/articles/PMC6567461/ /pubmed/31196165 http://dx.doi.org/10.1186/s40246-019-0212-8 Text en © The Author(s). 2019 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 Primary Research
Lee, Eunkyung
Takita, Cristiane
Wright, Jean L.
Slifer, Susan H.
Martin, Eden R.
Urbanic, James J.
Langefeld, Carl D.
Lesser, Glenn J.
Shaw, Edward G.
Hu, Jennifer J.
Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study
title Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study
title_full Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study
title_fullStr Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study
title_full_unstemmed Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study
title_short Genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study
title_sort genome-wide enriched pathway analysis of acute post-radiotherapy pain in breast cancer patients: a prospective cohort study
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567461/
https://www.ncbi.nlm.nih.gov/pubmed/31196165
http://dx.doi.org/10.1186/s40246-019-0212-8
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