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The m(6)A-Related mRNA Signature Predicts the Prognosis of Pancreatic Cancer Patients
N(6)-methyladenosine (m(6)A) has an important epitranscriptomic modification that controls cancer self-renewal and cell fate. The addition of m(6)A to mRNA is a reversible modification. The deposition of m(6)A is encoded by a methyltransferase complex involving three homologous factors, jargonized a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Gene & Cell Therapy
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256444/ https://www.ncbi.nlm.nih.gov/pubmed/32490170 http://dx.doi.org/10.1016/j.omto.2020.04.011 |
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author | Meng, Zibo Yuan, Qingchen Zhao, Jingyuan Wang, Bo Li, Shoukang Offringa, Rienk Jin, Xin Wu, Heshui |
author_facet | Meng, Zibo Yuan, Qingchen Zhao, Jingyuan Wang, Bo Li, Shoukang Offringa, Rienk Jin, Xin Wu, Heshui |
author_sort | Meng, Zibo |
collection | PubMed |
description | N(6)-methyladenosine (m(6)A) has an important epitranscriptomic modification that controls cancer self-renewal and cell fate. The addition of m(6)A to mRNA is a reversible modification. The deposition of m(6)A is encoded by a methyltransferase complex involving three homologous factors, jargonized as “writers,” “erasers,” and “readers.” However, their roles in pancreatic adenocarcinoma (PAAD) are underexploited. With the use of The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases, we provided an mRNA signature that may improve the prognostic prediction of PAAD patients based on the genetic status of m(6)A regulators. PAAD patients with genetic alteration of m(6)A regulators had worse disease-free and overall survival. After comparing PAAD groups with/without genetic alteration of m(6)A regulators, we identified 196 differentially expressed genes (DEGs). Then, we generated a 16-mRNA signature score system through least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Multivariate cox regression analysis demonstrated that a high-risk score significantly correlates with poor prognosis. Moreover, time-dependent receiver operating characteristic (ROC) curves revealed it was effective in predicting the overall survival in both training and validation sets. PAH, ZPLD1, PPFIA3, and TNNT1 from our signature also exhibited an independent prognostic value. Collectively, these findings can improve the understanding of m(6)A modifications in PAAD and potentially guide therapies in PAAD patients. |
format | Online Article Text |
id | pubmed-7256444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society of Gene & Cell Therapy |
record_format | MEDLINE/PubMed |
spelling | pubmed-72564442020-06-01 The m(6)A-Related mRNA Signature Predicts the Prognosis of Pancreatic Cancer Patients Meng, Zibo Yuan, Qingchen Zhao, Jingyuan Wang, Bo Li, Shoukang Offringa, Rienk Jin, Xin Wu, Heshui Mol Ther Oncolytics Article N(6)-methyladenosine (m(6)A) has an important epitranscriptomic modification that controls cancer self-renewal and cell fate. The addition of m(6)A to mRNA is a reversible modification. The deposition of m(6)A is encoded by a methyltransferase complex involving three homologous factors, jargonized as “writers,” “erasers,” and “readers.” However, their roles in pancreatic adenocarcinoma (PAAD) are underexploited. With the use of The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases, we provided an mRNA signature that may improve the prognostic prediction of PAAD patients based on the genetic status of m(6)A regulators. PAAD patients with genetic alteration of m(6)A regulators had worse disease-free and overall survival. After comparing PAAD groups with/without genetic alteration of m(6)A regulators, we identified 196 differentially expressed genes (DEGs). Then, we generated a 16-mRNA signature score system through least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Multivariate cox regression analysis demonstrated that a high-risk score significantly correlates with poor prognosis. Moreover, time-dependent receiver operating characteristic (ROC) curves revealed it was effective in predicting the overall survival in both training and validation sets. PAH, ZPLD1, PPFIA3, and TNNT1 from our signature also exhibited an independent prognostic value. Collectively, these findings can improve the understanding of m(6)A modifications in PAAD and potentially guide therapies in PAAD patients. American Society of Gene & Cell Therapy 2020-04-29 /pmc/articles/PMC7256444/ /pubmed/32490170 http://dx.doi.org/10.1016/j.omto.2020.04.011 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Meng, Zibo Yuan, Qingchen Zhao, Jingyuan Wang, Bo Li, Shoukang Offringa, Rienk Jin, Xin Wu, Heshui The m(6)A-Related mRNA Signature Predicts the Prognosis of Pancreatic Cancer Patients |
title | The m(6)A-Related mRNA Signature Predicts the Prognosis of Pancreatic Cancer Patients |
title_full | The m(6)A-Related mRNA Signature Predicts the Prognosis of Pancreatic Cancer Patients |
title_fullStr | The m(6)A-Related mRNA Signature Predicts the Prognosis of Pancreatic Cancer Patients |
title_full_unstemmed | The m(6)A-Related mRNA Signature Predicts the Prognosis of Pancreatic Cancer Patients |
title_short | The m(6)A-Related mRNA Signature Predicts the Prognosis of Pancreatic Cancer Patients |
title_sort | m(6)a-related mrna signature predicts the prognosis of pancreatic cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256444/ https://www.ncbi.nlm.nih.gov/pubmed/32490170 http://dx.doi.org/10.1016/j.omto.2020.04.011 |
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