IMOPAC: A web server for interactive multiomics and pharmacological analyses of patient-derived cancer cell lines

Ganxun Li1,2,3, Dongyi Wan4, Junnan Liang1,2,3

  • 1Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Insights

IMOPAC is a web tool simplifying complex cancer pharmacogenomic data analysis for biologists. It integrates multiple databases, enabling visualization of multi-omics data and drug responses to advance precision medicine.

Area of Science:

  • Genomics
  • Pharmacology
  • Bioinformatics
  • Cancer Research

Background:

  • Large-scale cancer genomic and pharmacological datasets (NCI-60, GDSC, DepMap) offer research opportunities.
  • Integrating and analyzing these vast pharmacogenomic datasets is challenging for non-bioinformaticians.

Purpose of the Study:

  • To introduce IMOPAC, an interactive web-based tool for exploring and visualizing multi-omics and pharmacogenomic data.
  • To make complex cancer pharmacogenomic data accessible to experimental biologists.

Main Methods:

  • Developed IMOPAC, a user-friendly web portal integrating NCI-60, GDSC, and DepMap databases.
  • Implemented interactive query interfaces and customizable data storage for multi-omics analysis.
  • Included analyses such as pancancer expression, drug-omics correlation, and drug response prediction.

Main Results:

  • IMOPAC provides rapid visualizations and customizable functionalities for pharmacogenomic data.
  • Users can interactively investigate multi-omics alterations and link them to drug responses across diverse cancer cell lines.
  • The tool facilitates pancancer expression analysis, drug-omics/pathway correlation, and omics-omics correlation.

Conclusions:

  • IMOPAC simplifies the analysis of comprehensive multi-omics and pharmacogenomic data.
  • The tool aids in discovering biological mechanisms and identifying actionable biomarkers for cancer precision medicine.
  • IMOPAC benefits both basic researchers and clinical practitioners in pharmacogenomics mining.

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