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DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features
Data-driven discovery of cancer driver genes, including tumor suppressor genes (TSGs) and oncogenes (OGs), is imperative for cancer prevention, diagnosis, and treatment. Although epigenetic alterations are important for tumor initiation and progression, most known driver genes were identified based...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673741/ https://www.ncbi.nlm.nih.gov/pubmed/33177077 http://dx.doi.org/10.1126/sciadv.aba6784 |
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author | Lyu, Jie Li, Jingyi Jessica Su, Jianzhong Peng, Fanglue Chen, Yiling Elaine Ge, Xinzhou Li, Wei |
author_facet | Lyu, Jie Li, Jingyi Jessica Su, Jianzhong Peng, Fanglue Chen, Yiling Elaine Ge, Xinzhou Li, Wei |
author_sort | Lyu, Jie |
collection | PubMed |
description | Data-driven discovery of cancer driver genes, including tumor suppressor genes (TSGs) and oncogenes (OGs), is imperative for cancer prevention, diagnosis, and treatment. Although epigenetic alterations are important for tumor initiation and progression, most known driver genes were identified based on genetic alterations alone. Here, we developed an algorithm, DORGE (Discovery of Oncogenes and tumor suppressoR genes using Genetic and Epigenetic features), to identify TSGs and OGs by integrating comprehensive genetic and epigenetic data. DORGE identified histone modifications as strong predictors for TSGs, and it found missense mutations, super enhancers, and methylation differences as strong predictors for OGs. We extensively validated DORGE-predicted cancer driver genes using independent functional genomics data. We also found that DORGE-predicted dual-functional genes (both TSGs and OGs) are enriched at hubs in protein-protein interaction and drug-gene networks. Overall, our study has deepened the understanding of epigenetic mechanisms in tumorigenesis and revealed previously undetected cancer driver genes. |
format | Online Article Text |
id | pubmed-7673741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-76737412020-11-24 DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features Lyu, Jie Li, Jingyi Jessica Su, Jianzhong Peng, Fanglue Chen, Yiling Elaine Ge, Xinzhou Li, Wei Sci Adv Research Articles Data-driven discovery of cancer driver genes, including tumor suppressor genes (TSGs) and oncogenes (OGs), is imperative for cancer prevention, diagnosis, and treatment. Although epigenetic alterations are important for tumor initiation and progression, most known driver genes were identified based on genetic alterations alone. Here, we developed an algorithm, DORGE (Discovery of Oncogenes and tumor suppressoR genes using Genetic and Epigenetic features), to identify TSGs and OGs by integrating comprehensive genetic and epigenetic data. DORGE identified histone modifications as strong predictors for TSGs, and it found missense mutations, super enhancers, and methylation differences as strong predictors for OGs. We extensively validated DORGE-predicted cancer driver genes using independent functional genomics data. We also found that DORGE-predicted dual-functional genes (both TSGs and OGs) are enriched at hubs in protein-protein interaction and drug-gene networks. Overall, our study has deepened the understanding of epigenetic mechanisms in tumorigenesis and revealed previously undetected cancer driver genes. American Association for the Advancement of Science 2020-11-11 /pmc/articles/PMC7673741/ /pubmed/33177077 http://dx.doi.org/10.1126/sciadv.aba6784 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Lyu, Jie Li, Jingyi Jessica Su, Jianzhong Peng, Fanglue Chen, Yiling Elaine Ge, Xinzhou Li, Wei DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features |
title | DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features |
title_full | DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features |
title_fullStr | DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features |
title_full_unstemmed | DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features |
title_short | DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features |
title_sort | dorge: discovery of oncogenes and tumor suppressor genes using genetic and epigenetic features |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673741/ https://www.ncbi.nlm.nih.gov/pubmed/33177077 http://dx.doi.org/10.1126/sciadv.aba6784 |
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