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Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis
Exposure to toxic substances in the environment is one of the most important causes of cancer. However, the time-consuming process for the identification and characterization of carcinogens is not applicable to a huge amount of testing chemicals. The data gaps make the carcinogenic risk uncontrollab...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294774/ https://www.ncbi.nlm.nih.gov/pubmed/32539087 http://dx.doi.org/10.1093/database/baaa045 |
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author | Liang, Peir-In Wang, Chia-Chi Cheng, Hsien-Jen Wang, Shan-Shan Lin, Ying-Chi Lin, Pinpin Tung, Chun-Wei |
author_facet | Liang, Peir-In Wang, Chia-Chi Cheng, Hsien-Jen Wang, Shan-Shan Lin, Ying-Chi Lin, Pinpin Tung, Chun-Wei |
author_sort | Liang, Peir-In |
collection | PubMed |
description | Exposure to toxic substances in the environment is one of the most important causes of cancer. However, the time-consuming process for the identification and characterization of carcinogens is not applicable to a huge amount of testing chemicals. The data gaps make the carcinogenic risk uncontrollable. An efficient and effective way of prioritizing chemicals of carcinogenic concern with interpretable mechanism information is highly desirable. This study presents a curation work for genes and pathways associated with 11 hallmarks of cancer (HOCs) reported by the Halifax Project. To demonstrate the usefulness of the curated HOC data, the interacting HOC genes and affected HOC pathways of chemicals of the three carcinogen lists from IARC, NTP and EPA were analyzed using the in silico toxicogenomics ChemDIS system. Results showed that a higher number of affected HOCs were observed for known carcinogens than the other chemicals. The curated HOC data is expected to be useful for prioritizing chemicals of carcinogenic concern. Database URL: The HOC database is available at https://github.com/hocdb-KMU-TMU/hocdb and the website of Database journal as Supplementary Data. |
format | Online Article Text |
id | pubmed-7294774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72947742020-06-18 Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis Liang, Peir-In Wang, Chia-Chi Cheng, Hsien-Jen Wang, Shan-Shan Lin, Ying-Chi Lin, Pinpin Tung, Chun-Wei Database (Oxford) Original Article Exposure to toxic substances in the environment is one of the most important causes of cancer. However, the time-consuming process for the identification and characterization of carcinogens is not applicable to a huge amount of testing chemicals. The data gaps make the carcinogenic risk uncontrollable. An efficient and effective way of prioritizing chemicals of carcinogenic concern with interpretable mechanism information is highly desirable. This study presents a curation work for genes and pathways associated with 11 hallmarks of cancer (HOCs) reported by the Halifax Project. To demonstrate the usefulness of the curated HOC data, the interacting HOC genes and affected HOC pathways of chemicals of the three carcinogen lists from IARC, NTP and EPA were analyzed using the in silico toxicogenomics ChemDIS system. Results showed that a higher number of affected HOCs were observed for known carcinogens than the other chemicals. The curated HOC data is expected to be useful for prioritizing chemicals of carcinogenic concern. Database URL: The HOC database is available at https://github.com/hocdb-KMU-TMU/hocdb and the website of Database journal as Supplementary Data. Oxford University Press 2020-06-15 /pmc/articles/PMC7294774/ /pubmed/32539087 http://dx.doi.org/10.1093/database/baaa045 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Liang, Peir-In Wang, Chia-Chi Cheng, Hsien-Jen Wang, Shan-Shan Lin, Ying-Chi Lin, Pinpin Tung, Chun-Wei Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis |
title | Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis |
title_full | Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis |
title_fullStr | Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis |
title_full_unstemmed | Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis |
title_short | Curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis |
title_sort | curation of cancer hallmark-based genes and pathways for in silico characterization of chemical carcinogenesis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294774/ https://www.ncbi.nlm.nih.gov/pubmed/32539087 http://dx.doi.org/10.1093/database/baaa045 |
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