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Genome-Wide Identification of m6A-Associated Single-Nucleotide Polymorphisms in Colorectal Cancer

BACKGROUND: N6-methyladenosine (m6A)-associated single-nucleotide polymorphisms (SNPs) play important roles in cancers, with previous research suggesting potential associations between m6A-SNPs and cancer. However, the relationship between the genetic determinants of m6A modification and colorectal...

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Autores principales: Zhao, Hongying, Jiang, Jinying, Wang, Mingshan, Xuan, Zixue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8297552/
https://www.ncbi.nlm.nih.gov/pubmed/34305406
http://dx.doi.org/10.2147/PGPM.S314373
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author Zhao, Hongying
Jiang, Jinying
Wang, Mingshan
Xuan, Zixue
author_facet Zhao, Hongying
Jiang, Jinying
Wang, Mingshan
Xuan, Zixue
author_sort Zhao, Hongying
collection PubMed
description BACKGROUND: N6-methyladenosine (m6A)-associated single-nucleotide polymorphisms (SNPs) play important roles in cancers, with previous research suggesting potential associations between m6A-SNPs and cancer. However, the relationship between the genetic determinants of m6A modification and colorectal cancer (CRC) remains unclear. METHODS: An integrative method combining raw data and summary statistics of genome-wide association studies with expression quantitative trait loci (eQTL) and differential expression data was applied to screen potential candidate CRC-associated m6A-SNPs. RESULTS: A total of 402 m6A-SNPs were identified as being associated with CRC (p < 0.001), with 98 showing eQTL signals. In particular, three genes were found to harbor CRC-associated m6A-SNPs: rs178184 in NOVA1, rs35782901 in HTR4, and rs60571683 in SLCO1B3. These genes were differentially expressed in at least one publicly available dataset (p < 0.05), with NOVA1 (p = 3.41×10(−11)) and HTR4 (p = 5.56×10(−7)) being significantly downregulated in CRC (dataset: GSE89076), and SLCO1B3 was significantly overexpressed (datasets: GSE32323 [p = 3.27×10(−5)], GSE21510 [p = 1.09×10(−6)], and GSE89076 [p = 7.63×10(−6)]). CONCLUSION: This study identified three m6A-SNPs (rs178184, rs35782901, and rs60571683) that may be associated with CRC. However, the lack of analysis of primary CRC samples in order to further elucidate the underlying pathogenesis is a major limitation of this study. Future investigations are needed to validate these CRC-associated m6A-SNPs and explore the m6A-mediated pathogenic mechanism in CRC.
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spelling pubmed-82975522021-07-23 Genome-Wide Identification of m6A-Associated Single-Nucleotide Polymorphisms in Colorectal Cancer Zhao, Hongying Jiang, Jinying Wang, Mingshan Xuan, Zixue Pharmgenomics Pers Med Original Research BACKGROUND: N6-methyladenosine (m6A)-associated single-nucleotide polymorphisms (SNPs) play important roles in cancers, with previous research suggesting potential associations between m6A-SNPs and cancer. However, the relationship between the genetic determinants of m6A modification and colorectal cancer (CRC) remains unclear. METHODS: An integrative method combining raw data and summary statistics of genome-wide association studies with expression quantitative trait loci (eQTL) and differential expression data was applied to screen potential candidate CRC-associated m6A-SNPs. RESULTS: A total of 402 m6A-SNPs were identified as being associated with CRC (p < 0.001), with 98 showing eQTL signals. In particular, three genes were found to harbor CRC-associated m6A-SNPs: rs178184 in NOVA1, rs35782901 in HTR4, and rs60571683 in SLCO1B3. These genes were differentially expressed in at least one publicly available dataset (p < 0.05), with NOVA1 (p = 3.41×10(−11)) and HTR4 (p = 5.56×10(−7)) being significantly downregulated in CRC (dataset: GSE89076), and SLCO1B3 was significantly overexpressed (datasets: GSE32323 [p = 3.27×10(−5)], GSE21510 [p = 1.09×10(−6)], and GSE89076 [p = 7.63×10(−6)]). CONCLUSION: This study identified three m6A-SNPs (rs178184, rs35782901, and rs60571683) that may be associated with CRC. However, the lack of analysis of primary CRC samples in order to further elucidate the underlying pathogenesis is a major limitation of this study. Future investigations are needed to validate these CRC-associated m6A-SNPs and explore the m6A-mediated pathogenic mechanism in CRC. Dove 2021-07-17 /pmc/articles/PMC8297552/ /pubmed/34305406 http://dx.doi.org/10.2147/PGPM.S314373 Text en © 2021 Zhao et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Zhao, Hongying
Jiang, Jinying
Wang, Mingshan
Xuan, Zixue
Genome-Wide Identification of m6A-Associated Single-Nucleotide Polymorphisms in Colorectal Cancer
title Genome-Wide Identification of m6A-Associated Single-Nucleotide Polymorphisms in Colorectal Cancer
title_full Genome-Wide Identification of m6A-Associated Single-Nucleotide Polymorphisms in Colorectal Cancer
title_fullStr Genome-Wide Identification of m6A-Associated Single-Nucleotide Polymorphisms in Colorectal Cancer
title_full_unstemmed Genome-Wide Identification of m6A-Associated Single-Nucleotide Polymorphisms in Colorectal Cancer
title_short Genome-Wide Identification of m6A-Associated Single-Nucleotide Polymorphisms in Colorectal Cancer
title_sort genome-wide identification of m6a-associated single-nucleotide polymorphisms in colorectal cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8297552/
https://www.ncbi.nlm.nih.gov/pubmed/34305406
http://dx.doi.org/10.2147/PGPM.S314373
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