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Characterization of Modification Patterns, Biological Function, Clinical Implication, and Immune Microenvironment Association of m(6)A Regulators in Pancreatic Cancer

Objective: N(6)-methyladenosine (m(6)A) modification may modulate various biological processes. Nonetheless, clinical implications of m(6)A modification in pancreatic cancer are undefined. Herein, this study comprehensively characterized the m(6)A modification patterns in pancreatic cancer based on...

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Autores principales: Fang, Kun, Qu, Hairong, Wang, Jiapei, Tang, Desheng, Yan, Changsheng, Ma, Jiamin, Gao, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484796/
https://www.ncbi.nlm.nih.gov/pubmed/34603372
http://dx.doi.org/10.3389/fgene.2021.702072
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author Fang, Kun
Qu, Hairong
Wang, Jiapei
Tang, Desheng
Yan, Changsheng
Ma, Jiamin
Gao, Lei
author_facet Fang, Kun
Qu, Hairong
Wang, Jiapei
Tang, Desheng
Yan, Changsheng
Ma, Jiamin
Gao, Lei
author_sort Fang, Kun
collection PubMed
description Objective: N(6)-methyladenosine (m(6)A) modification may modulate various biological processes. Nonetheless, clinical implications of m(6)A modification in pancreatic cancer are undefined. Herein, this study comprehensively characterized the m(6)A modification patterns in pancreatic cancer based on m(6)A regulators. Methods: Genetic mutation and expression pattern of 21 m(6)A regulators and their correlations were assessed in pancreatic cancer from TCGA dataset. m(6)A modification patterns were clustered using unsupervised clustering analysis in TCGA and ICGC datasets. Differences in survival, biological functions and immune cell infiltrations were assessed between modification patterns. A m(6)A scoring system was developed by principal component analysis. Genetic mutations and TIDE scores were compared between high and low m(6)A score groups. Results: ZC3H13 (11%), RBM15B (9%), YTHDF1 (8%), and YTHDC1 (6%) frequently occurred mutations among m(6)A regulators. Also, most of regulators were distinctly dysregulated in pancreatic cancer. There were tight crosslinks between regulators. Two m(6)A modification patterns were constructed, with distinct prognoses, immune cell infiltration and biological functions. Furthermore, we quantified m(6)A score in each sample. High m(6)A scores indicated undesirable clinical outcomes. There were more frequent mutations in high m(6)A score samples. Lower TIDE score was found in high m(6)A score group, with AUC = 0.61, indicating that m(6)A scores might be used for predicting the response to immunotherapy. Conclusion: Collectively, these data demonstrated that m(6)A modification participates pancreatic cancer progress and ornaments immune microenvironment, providing an insight into pancreatic cancer pathogenesis and facilitating precision medicine development.
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spelling pubmed-84847962021-10-02 Characterization of Modification Patterns, Biological Function, Clinical Implication, and Immune Microenvironment Association of m(6)A Regulators in Pancreatic Cancer Fang, Kun Qu, Hairong Wang, Jiapei Tang, Desheng Yan, Changsheng Ma, Jiamin Gao, Lei Front Genet Genetics Objective: N(6)-methyladenosine (m(6)A) modification may modulate various biological processes. Nonetheless, clinical implications of m(6)A modification in pancreatic cancer are undefined. Herein, this study comprehensively characterized the m(6)A modification patterns in pancreatic cancer based on m(6)A regulators. Methods: Genetic mutation and expression pattern of 21 m(6)A regulators and their correlations were assessed in pancreatic cancer from TCGA dataset. m(6)A modification patterns were clustered using unsupervised clustering analysis in TCGA and ICGC datasets. Differences in survival, biological functions and immune cell infiltrations were assessed between modification patterns. A m(6)A scoring system was developed by principal component analysis. Genetic mutations and TIDE scores were compared between high and low m(6)A score groups. Results: ZC3H13 (11%), RBM15B (9%), YTHDF1 (8%), and YTHDC1 (6%) frequently occurred mutations among m(6)A regulators. Also, most of regulators were distinctly dysregulated in pancreatic cancer. There were tight crosslinks between regulators. Two m(6)A modification patterns were constructed, with distinct prognoses, immune cell infiltration and biological functions. Furthermore, we quantified m(6)A score in each sample. High m(6)A scores indicated undesirable clinical outcomes. There were more frequent mutations in high m(6)A score samples. Lower TIDE score was found in high m(6)A score group, with AUC = 0.61, indicating that m(6)A scores might be used for predicting the response to immunotherapy. Conclusion: Collectively, these data demonstrated that m(6)A modification participates pancreatic cancer progress and ornaments immune microenvironment, providing an insight into pancreatic cancer pathogenesis and facilitating precision medicine development. Frontiers Media S.A. 2021-09-17 /pmc/articles/PMC8484796/ /pubmed/34603372 http://dx.doi.org/10.3389/fgene.2021.702072 Text en Copyright © 2021 Fang, Qu, Wang, Tang, Yan, Ma and Gao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Fang, Kun
Qu, Hairong
Wang, Jiapei
Tang, Desheng
Yan, Changsheng
Ma, Jiamin
Gao, Lei
Characterization of Modification Patterns, Biological Function, Clinical Implication, and Immune Microenvironment Association of m(6)A Regulators in Pancreatic Cancer
title Characterization of Modification Patterns, Biological Function, Clinical Implication, and Immune Microenvironment Association of m(6)A Regulators in Pancreatic Cancer
title_full Characterization of Modification Patterns, Biological Function, Clinical Implication, and Immune Microenvironment Association of m(6)A Regulators in Pancreatic Cancer
title_fullStr Characterization of Modification Patterns, Biological Function, Clinical Implication, and Immune Microenvironment Association of m(6)A Regulators in Pancreatic Cancer
title_full_unstemmed Characterization of Modification Patterns, Biological Function, Clinical Implication, and Immune Microenvironment Association of m(6)A Regulators in Pancreatic Cancer
title_short Characterization of Modification Patterns, Biological Function, Clinical Implication, and Immune Microenvironment Association of m(6)A Regulators in Pancreatic Cancer
title_sort characterization of modification patterns, biological function, clinical implication, and immune microenvironment association of m(6)a regulators in pancreatic cancer
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484796/
https://www.ncbi.nlm.nih.gov/pubmed/34603372
http://dx.doi.org/10.3389/fgene.2021.702072
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