# The Knowledge Connector decision support system for multiomics-based precision oncology

## TL;DR

The Knowledge Connector system helps doctors make better cancer treatment decisions by integrating complex patient data with global knowledge.

## Contribution

The KC system improves decision-making in molecular tumor boards by integrating multiomics data and reducing reliance on external sources.

## Key findings

- The KC system supports data curation and integration for multiomics-based precision oncology.
- It enhances the consistency of decisions among curators and reduces the need for external information.
- The KC enables scalable precision cancer medicine through a cross-institutional knowledge base.

## Abstract

Precision cancer medicine aims to improve patient outcomes by providing individually tailored recommendations for clinical management based on the evaluation of biological disease profiles in multidisciplinary molecular tumor boards (MTBs). The quality of MTB decisions depends on the comprehensive, reliable, and reproducible interpretation of increasingly complex molecular data. We developed and implemented, as part of a multicenter precision oncology program, the Knowledge Connector (KC), a decision support system that integrates individual patients’ molecular and clinical data with world knowledge to generate and document MTB recommendations. The KC supports data curation, database integration, and discussion based on multiomics data and provides an interface for creating a cross-institutional knowledge base. Furthermore, it extracts relevant biomarker-drug associations and increases the efficacy of data interpretation in a clinically relevant manner by reducing reliance on external sources and optimizing inter-curator concordance. Our results demonstrate that the KC is a versatile tool that supports medical decision-making in MTBs, thus enabling the scalability of precision cancer medicine.

Integrating complex multi-omics data for individual patient decision making can be challenging. Here, the authors develop Knowledge Connector as a decision support system to generate and document Molecular Tumor Board recommendations and support medical decision-making.