Unknown

Dataset Information

0

IMPACT web portal: oncology database integrating molecular profiles with actionable therapeutics.


ABSTRACT: BACKGROUND:With the advancement of next generation sequencing technology, researchers are now able to identify important variants and structural changes in DNA and RNA in cancer patient samples. With this information, we can now correlate specific variants and/or structural changes with actionable therapeutics known to inhibit these variants. We introduce the creation of the IMPACT Web Portal, a new online resource that connects molecular profiles of tumors to approved drugs, investigational therapeutics and pharmacogenetics associated drugs. RESULTS:IMPACT Web Portal contains a total of 776 drugs connected to 1326 target genes and 435 target variants, fusion, and copy number alterations. The online IMPACT Web Portal allows users to search for various genetic alterations and connects them to three levels of actionable therapeutics. The results are categorized into 3 levels: Level 1 contains approved drugs separated into two groups; Level 1A contains approved drugs with variant specific information while Level 1B contains approved drugs with gene level information. Level 2 contains drugs currently in oncology clinical trials. Level 3 provides pharmacogenetic associations between approved drugs and genes. CONCLUSION:IMPACT Web Portal allows for sequencing data to be linked to actionable therapeutics for translational and drug repurposing research. The IMPACT Web Portal online resource allows users to query genes and variants to approved and investigational drugs. We envision that this resource will be a valuable database for personalized medicine and drug repurposing. IMPACT Web Portal is freely available for non-commercial use at http://tanlab.ucdenver.edu/IMPACT .

SUBMITTER: Hintzsche JD 

PROVIDER: S-EPMC5918430 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

IMPACT web portal: oncology database integrating molecular profiles with actionable therapeutics.

Hintzsche Jennifer D JD   Yoo Minjae M   Kim Jihye J   Amato Carol M CM   Robinson William A WA   Tan Aik Choon AC  

BMC medical genomics 20180420 Suppl 2


<h4>Background</h4>With the advancement of next generation sequencing technology, researchers are now able to identify important variants and structural changes in DNA and RNA in cancer patient samples. With this information, we can now correlate specific variants and/or structural changes with actionable therapeutics known to inhibit these variants. We introduce the creation of the IMPACT Web Portal, a new online resource that connects molecular profiles of tumors to approved drugs, investigati  ...[more]

Similar Datasets

| S-EPMC4926746 | biostudies-literature
| S-EPMC6657575 | biostudies-literature
| S-EPMC8396223 | biostudies-literature
| S-EPMC2688524 | biostudies-literature
| S-EPMC8546635 | biostudies-literature
| S-EPMC9825444 | biostudies-literature
| S-EPMC4576149 | biostudies-literature
| S-EPMC4960725 | biostudies-literature
| S-EPMC9252794 | biostudies-literature
| S-EPMC6030824 | biostudies-literature