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Gene Signature and Identification of Clinical Trait-Related m(6) A Regulators in Pancreatic Cancer
Pancreatic cancer (PC) has a very poor prognosis and is usually diagnosed only at an advanced stage. The discovery of new biomarkers for PC will help in early diagnosis and a better prognosis for patients. Recently, N6-methyladenosine (m(6)A) RNA modifications and their regulators have been implicat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367043/ https://www.ncbi.nlm.nih.gov/pubmed/32754191 http://dx.doi.org/10.3389/fgene.2020.00522 |
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author | Hou, Jie Wang, Zhan Li, Hong Zhang, Hongzhi Luo, Lan |
author_facet | Hou, Jie Wang, Zhan Li, Hong Zhang, Hongzhi Luo, Lan |
author_sort | Hou, Jie |
collection | PubMed |
description | Pancreatic cancer (PC) has a very poor prognosis and is usually diagnosed only at an advanced stage. The discovery of new biomarkers for PC will help in early diagnosis and a better prognosis for patients. Recently, N6-methyladenosine (m(6)A) RNA modifications and their regulators have been implicated in the development of many cancers. To investigate the functions and mechanisms of m(6)A modifications in the development of PC, 19 m(6)A regulators, including m(6)A-methyltransferases (ZC3H13, RBM15/15B, WTAP, KIAA1429, and METTL3/14), demethylases (FTO and ALKBH5), and binding proteins (YTHDF1/2/3, YTHDC1/2, IGF2BP1/2/3, HNRNPC, and HNRNPA2B1) were analyzed in 178 PC tissues from the cancer genome atlas (TCGA) database. The results were verified in PC cell lines Mia-PaCa-2, BXPC-3, and the control cell line HDE-CT. The m(6)A regulators-based sample clusters were significantly related to overall survival (OS). Further, lasso regression identified a six-m(6)A-regulator-signature prognostic model (KIAA1429, HNRNPC, METTL3, YTHDF1, IGF2BP2, and IGF2BP3). Model-based high-risk and low-risk groups were significantly correlated with OS and clinical traits (pathologic M, N, and clinical stages and vital status). The risk signature was verified as an independent prognostic marker for patients with PC. Finally, gene set enrichment analysis revealed m(6)A regulators (KIAA1429, HNRNPC, and IGF2BP2) were related to multiple biological behaviors in PC, including adipocytokine signaling, the well vs. poorly differentiated tumor pathway, tumor metastasis pathway, epithelial mesenchymal transition pathway, gemcitabine resistance pathway, and stemness pathway. In summary, the m6A regulatory factors which related to clinical characteristics can be involved in the malignant progression of PC, and the constructed risk markers may be a promising prognostic biomarker that can guide the individualized treatment of PC patients. |
format | Online Article Text |
id | pubmed-7367043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73670432020-08-03 Gene Signature and Identification of Clinical Trait-Related m(6) A Regulators in Pancreatic Cancer Hou, Jie Wang, Zhan Li, Hong Zhang, Hongzhi Luo, Lan Front Genet Genetics Pancreatic cancer (PC) has a very poor prognosis and is usually diagnosed only at an advanced stage. The discovery of new biomarkers for PC will help in early diagnosis and a better prognosis for patients. Recently, N6-methyladenosine (m(6)A) RNA modifications and their regulators have been implicated in the development of many cancers. To investigate the functions and mechanisms of m(6)A modifications in the development of PC, 19 m(6)A regulators, including m(6)A-methyltransferases (ZC3H13, RBM15/15B, WTAP, KIAA1429, and METTL3/14), demethylases (FTO and ALKBH5), and binding proteins (YTHDF1/2/3, YTHDC1/2, IGF2BP1/2/3, HNRNPC, and HNRNPA2B1) were analyzed in 178 PC tissues from the cancer genome atlas (TCGA) database. The results were verified in PC cell lines Mia-PaCa-2, BXPC-3, and the control cell line HDE-CT. The m(6)A regulators-based sample clusters were significantly related to overall survival (OS). Further, lasso regression identified a six-m(6)A-regulator-signature prognostic model (KIAA1429, HNRNPC, METTL3, YTHDF1, IGF2BP2, and IGF2BP3). Model-based high-risk and low-risk groups were significantly correlated with OS and clinical traits (pathologic M, N, and clinical stages and vital status). The risk signature was verified as an independent prognostic marker for patients with PC. Finally, gene set enrichment analysis revealed m(6)A regulators (KIAA1429, HNRNPC, and IGF2BP2) were related to multiple biological behaviors in PC, including adipocytokine signaling, the well vs. poorly differentiated tumor pathway, tumor metastasis pathway, epithelial mesenchymal transition pathway, gemcitabine resistance pathway, and stemness pathway. In summary, the m6A regulatory factors which related to clinical characteristics can be involved in the malignant progression of PC, and the constructed risk markers may be a promising prognostic biomarker that can guide the individualized treatment of PC patients. Frontiers Media S.A. 2020-07-10 /pmc/articles/PMC7367043/ /pubmed/32754191 http://dx.doi.org/10.3389/fgene.2020.00522 Text en Copyright © 2020 Hou, Wang, Li, Zhang and Luo. http://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 Hou, Jie Wang, Zhan Li, Hong Zhang, Hongzhi Luo, Lan Gene Signature and Identification of Clinical Trait-Related m(6) A Regulators in Pancreatic Cancer |
title | Gene Signature and Identification of Clinical Trait-Related m(6) A Regulators in Pancreatic Cancer |
title_full | Gene Signature and Identification of Clinical Trait-Related m(6) A Regulators in Pancreatic Cancer |
title_fullStr | Gene Signature and Identification of Clinical Trait-Related m(6) A Regulators in Pancreatic Cancer |
title_full_unstemmed | Gene Signature and Identification of Clinical Trait-Related m(6) A Regulators in Pancreatic Cancer |
title_short | Gene Signature and Identification of Clinical Trait-Related m(6) A Regulators in Pancreatic Cancer |
title_sort | gene signature and identification of clinical trait-related m(6) a regulators in pancreatic cancer |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367043/ https://www.ncbi.nlm.nih.gov/pubmed/32754191 http://dx.doi.org/10.3389/fgene.2020.00522 |
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