The Theranostic Genome

Xiaoying Xu, Pablo Jané, Vincent Taelman, Eduardo Jané, Rebecca A. Dumont, Yonathan Garama, Francisco Kim, María Val Gómez, Karim Gariani and Martin A. Walter ()
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Xiaoying Xu: University of Lucerne
Pablo Jané: University of Geneva
Vincent Taelman: University of Lucerne
Eduardo Jané: Universidad Politécnica de Madrid
Rebecca A. Dumont: University of Lucerne
Yonathan Garama: University of Lucerne
Francisco Kim: University of Lucerne
María Val Gómez: Hospital Universitario Ramón y Cajal
Karim Gariani: Geneva University Hospitals
Martin A. Walter: University of Lucerne

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Theranostic drugs represent an emerging path to deliver on the promise of precision medicine. However, bottlenecks remain in characterizing theranostic targets, identifying theranostic lead compounds, and tailoring theranostic drugs. To overcome these bottlenecks, we present the Theranostic Genome, the part of the human genome whose expression can be utilized to combine therapeutic and diagnostic applications. Using a deep learning-based hybrid human-AI pipeline that cross-references PubMed, the Gene Expression Omnibus, DisGeNET, The Cancer Genome Atlas and the NIH Molecular Imaging and Contrast Agent Database, we bridge individual genes in human cancers with respective theranostic compounds. Cross-referencing the Theranostic Genome with RNAseq data from over 17’000 human tissues identifies theranostic targets and lead compounds for various human cancers, and allows tailoring targeted theranostics to relevant cancer subpopulations. We expect the Theranostic Genome to facilitate the development of new targeted theranostics to better diagnose, understand, treat, and monitor a variety of human cancers.

Date: 2024
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DOI: 10.1038/s41467-024-55291-x

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