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

Adnan Ahmad Ansari, Inkeun Park, Inki Kim, Sojung Park, Sung Min Ahn, Jae Lyun Lee

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.

Original languageEnglish
Article number88
JournalBMC Medical Genomics
Issue number1
StatePublished - 3 Oct 2018

Bibliographical note

Funding Information:
This study was supported by The Korean Health Technology R&D Projects, funded by the Ministry of Health and Welfare, Republic of Korea and by grants HI14C1931 and HI16C1985. The funders played no part in the design of the study or the collection, analysis and interpretation of the data, or the writing of the manuscript.

Publisher Copyright:
© 2018 The Author(s).


  • Bladder cancer
  • Database
  • Drug response
  • Pharmacogenomics
  • Therapeutic biomarker


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