Welcome!
Database design
We developed a pan-cancer adverse event database with emphasis on immune related adverse events (irAEs). Our database, termed irAExplorer encompasses 71,087 patients from 343 clinical trials across 19 cancer types with well annotated ICI treatment classification. Users may explore the incidence of adverse events across cancer types, treatment agents and treatment regimens.
Citation
Muhammad Zaki Hidayatullah Fadlullah, Ching-Nung Lin, Samuel Coleman, Arabella Young, Abdul Rafeh Naqash, Siwen Hu-Lieskovan, Aik Choon Tan
Exploring the landscape of immune checkpoint inhibitor-induced adverse events through big data mining of pan-cancer clinical trials, The Oncologist
Exploring the landscape of immune checkpoint inhibitor-induced adverse events through big data mining of pan-cancer clinical trials, The Oncologist
Contact
For further information, please contact;
Zaki Wilmot
zaki.wilmot@hci.utah.edu
or
Aik Choon Tan
aikchoon.tan@hci.utah.edu
More
This app was developed at the Tan Lab
Exploration of Clinical Trials Studies
Use this tab to obtain a global overview of the cancer types and treatment classification in the database
Select one or more clinical trial(s) ID to query
Exploration by cancer type
Click
on the table below to generate a
plot
of the drug administered in the selected cancer type
Patients may be treated with a single agent ICI or in conjuction with other agents (chemotheraphy, targeted theraphy, dual ICIs).
Hover
over the plot below to reveal the treatment regimens
Percentage of Participants with Serious Adverse Event(s)
User may interactively select how to visuzlize the incidence of adverse events. Please refer to the Plotting parameters below to generate the plotFiltering options
Options to select cancer types , treatment agents and treatment regimensPlotting parameters
The bar chart may be adjusted to show the incidence of adverse event by; cancer types , treatment agents , treatment regimens or adverse event category.- Please select the Desired variable option to determine how the incidence of adverse event is shown
- A second variable Desired group can further be selected to divide the incidence of adverse event into sub-groups.