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Genomics of drug sensitivity in bladder cancer: an integrated resource for pharmacogenomic analysis in bladder cancer

BACKGROUND: Bladder cancer has numerous genomic features that are potentially actionable by targeted agents. Nevertheless, both pre-clinical and clinical research using molecular targeted agents have been very limited in bladder cancer. RESULTS: We created the Genomics of Drug Sensitivity in Bladder...

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Autores principales: Ansari, Adnan Ahmad, Park, Inkeun, Kim, Inki, Park, Sojung, Ahn, Sung-Min, Lee, Jae-lyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6171176/
https://www.ncbi.nlm.nih.gov/pubmed/30285760
http://dx.doi.org/10.1186/s12920-018-0406-2
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author Ansari, Adnan Ahmad
Park, Inkeun
Kim, Inki
Park, Sojung
Ahn, Sung-Min
Lee, Jae-lyun
author_facet Ansari, Adnan Ahmad
Park, Inkeun
Kim, Inki
Park, Sojung
Ahn, Sung-Min
Lee, Jae-lyun
author_sort Ansari, Adnan Ahmad
collection PubMed
description BACKGROUND: Bladder cancer has numerous genomic features that are potentially actionable by targeted agents. Nevertheless, both pre-clinical and clinical research using molecular targeted agents have been very limited in bladder cancer. RESULTS: We created the Genomics of Drug Sensitivity in Bladder Cancer (GDBC) database, an integrated database (DB) to facilitate the genomic understanding of bladder cancer in relation to drug sensitivity, in order to promote potential therapeutic applications of targeted agents in bladder cancer treatment. The GDBC database contains two separate datasets: 1) in-house drug sensitivity data, in which 13 targeted agents were tested against 10 bladder cancer cell lines; 2) data extracted and integrated from public databases, including the Cancer Therapeutics Research Portal, Cancer Cell Line Encyclopedia, Genomics of Drug Sensitivity in Cancer, Kyoto Encyclopedia of Genes and Genomes, and the Cancer Gene Census databases, as well as bladder cancer genomics data and synthetic lethality/synthetic dosage lethality connections. CONCLUSIONS: GDBC is an integrated DB of genomics and drug sensitivity data with a specific focus on bladder cancer. With a user-friendly web-interface, GDBC helps users generate genomics-based hypotheses that can be tested experimentally using drugs and cell lines included in GDBC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0406-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-61711762018-10-10 Genomics of drug sensitivity in bladder cancer: an integrated resource for pharmacogenomic analysis in bladder cancer Ansari, Adnan Ahmad Park, Inkeun Kim, Inki Park, Sojung Ahn, Sung-Min Lee, Jae-lyun BMC Med Genomics Database BACKGROUND: Bladder cancer has numerous genomic features that are potentially actionable by targeted agents. Nevertheless, both pre-clinical and clinical research using molecular targeted agents have been very limited in bladder cancer. RESULTS: We created the Genomics of Drug Sensitivity in Bladder Cancer (GDBC) database, an integrated database (DB) to facilitate the genomic understanding of bladder cancer in relation to drug sensitivity, in order to promote potential therapeutic applications of targeted agents in bladder cancer treatment. The GDBC database contains two separate datasets: 1) in-house drug sensitivity data, in which 13 targeted agents were tested against 10 bladder cancer cell lines; 2) data extracted and integrated from public databases, including the Cancer Therapeutics Research Portal, Cancer Cell Line Encyclopedia, Genomics of Drug Sensitivity in Cancer, Kyoto Encyclopedia of Genes and Genomes, and the Cancer Gene Census databases, as well as bladder cancer genomics data and synthetic lethality/synthetic dosage lethality connections. CONCLUSIONS: GDBC is an integrated DB of genomics and drug sensitivity data with a specific focus on bladder cancer. With a user-friendly web-interface, GDBC helps users generate genomics-based hypotheses that can be tested experimentally using drugs and cell lines included in GDBC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-018-0406-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-10-03 /pmc/articles/PMC6171176/ /pubmed/30285760 http://dx.doi.org/10.1186/s12920-018-0406-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Database
Ansari, Adnan Ahmad
Park, Inkeun
Kim, Inki
Park, Sojung
Ahn, Sung-Min
Lee, Jae-lyun
Genomics of drug sensitivity in bladder cancer: an integrated resource for pharmacogenomic analysis in bladder cancer
title Genomics of drug sensitivity in bladder cancer: an integrated resource for pharmacogenomic analysis in bladder cancer
title_full Genomics of drug sensitivity in bladder cancer: an integrated resource for pharmacogenomic analysis in bladder cancer
title_fullStr Genomics of drug sensitivity in bladder cancer: an integrated resource for pharmacogenomic analysis in bladder cancer
title_full_unstemmed Genomics of drug sensitivity in bladder cancer: an integrated resource for pharmacogenomic analysis in bladder cancer
title_short Genomics of drug sensitivity in bladder cancer: an integrated resource for pharmacogenomic analysis in bladder cancer
title_sort genomics of drug sensitivity in bladder cancer: an integrated resource for pharmacogenomic analysis in bladder cancer
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6171176/
https://www.ncbi.nlm.nih.gov/pubmed/30285760
http://dx.doi.org/10.1186/s12920-018-0406-2
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