Advancing personalized cancer therapy: Onko_DrugCombScreen-a novel Shiny app for precision drug combination screening

Jingyu Yang1, Meng Wang2, Jürgen Dönitz1,3,4

  • 1Medical Bioinformatics, University Medical Center Göttingen, Göttingen, 37077, Germany.

PubMed

Insights

Onko_DrugCombScreen identifies effective cancer drug combinations for personalized medicine. This tool aids in discovering novel therapies by analyzing drug knowledgebases and patient data, improving cancer treatment efficacy.

Area of Science:

  • Oncology
  • Bioinformatics
  • Computational Biology

Background:

  • Identifying genotype-guided drug combinations for specific cancer subtypes is crucial for improving treatment efficacy and reducing toxicity.
  • The vast number of potential drug combinations presents a significant challenge in cancer therapy research.
  • Precision medicine requires advanced tools to navigate combinatorial complexity and identify optimal therapeutic strategies.

Purpose of the Study:

  • To develop and validate Onko_DrugCombScreen, an innovative computational tool for identifying significant drug combination candidates in cancer therapy.
  • To advance precision medicine by enabling the discovery of targeted drug combinations for specific molecular subtypes.
  • To streamline the process of drug combination discovery using integrated data analysis and visualization.

Main Methods:

  • Onko_DrugCombScreen integrates drug knowledgebase analysis with statistical methodologies and data visualization.
  • The tool employs a comparative cohort approach to identify significant drug combinations.
  • Inspired by the molecular tumor board process, it synergizes diverse analytical techniques.

Main Results:

  • Onko_DrugCombScreen successfully identified established and potential novel drug combinations in a TCGA-BRCA case study.
  • The tool demonstrated proficiency in discerning clinically relevant drug combinations for specific cancer types.
  • Validation confirmed the tool's capability to enhance drug combination discovery for personalized cancer treatment.

Conclusions:

  • Onko_DrugCombScreen represents a significant advancement in personalized cancer treatment by facilitating the discovery of promising drug combinations.
  • The tool enhances the capability for drug combination discovery, paving the way for more precise and potent combination therapies.
  • Onko_DrugCombScreen supports the development of advanced, genotype-guided cancer treatments.