OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level

Area of Science:

• Oncology
• Genomics
• Pharmacology

Background:

• Precision oncology requires accurate interpretation of patient-specific genetic alterations impacting drug efficacy.
• Advances in tumor sequencing necessitate a clinical support tool for interpreting these alterations.
• A structured knowledge base is crucial for linking genetic alterations to clinical implications in cancer treatment.

Purpose of the Study:

• To develop a web server, the Oncology Pharmacotherapy Decision Support System (OncoPDSS), for interpreting tumor sequencing results.
• To provide a systematic annotation of how genetic alterations affect drug responses in cancer patients.
• To aid clinicians in making informed pharmacotherapy decisions for precision oncology.

Main Methods:

• Integrated actionable evidence from multiple resources and anti-cancer drug labels.
• Extracted cancer clinical trial data from ClinicalTrials.gov.
• Employed a therapy-centric classification to identify effective and non-effective pharmacotherapies based on multi-omics alterations and integrative evidence.

Main Results:

• Developed OncoPDSS, a web server that annotates the effects of genetic alterations on drug responses.
• Identified potentially effective and non-effective pharmacotherapies for user-uploaded multi-omics data.
• Listed clinical trials with faculty information for potentially effective therapies to facilitate patient-provider decision-making.

Conclusions:

• OncoPDSS functions as an integrated knowledge base for cancer precision medicine.
• It serves as a clinical decision support system for researchers and oncologists.
• The system interprets multi-omics alterations into pharmacotherapy-centered information to guide clinical decisions.