The Theranostic Genome
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.
Authors
- Francisco H. Kim (ORCID: https://orcid.org/0000-0003-1767-7774)
- Karim Gariani (ORCID: https://orcid.org/0000-0001-8089-4785)
- Pablo Jané (ORCID: https://orcid.org/0000-0002-6723-1108)
- Martin A. Walter (ORCID: https://orcid.org/0000-0001-6487-5349)
- Vincent Taelman
- Xiaoying Xu (ORCID: https://orcid.org/0000-0003-3188-2125)
- Rebecca A. Dumont (ORCID: https://orcid.org/0000-0002-7416-0483)
- Eduardo Jané (ORCID: https://orcid.org/0000-0003-2848-3406)
- Yonathan Garama
- Maria Gomez (ORCID: https://orcid.org/0009-0006-4224-6414)
Institutions
- University of Geneva (CH)
- University of Lucerne (CH)
- University Hospital of Geneva (CH)
- Hospital Universitario Ramón y Cajal (ES)
- Universidad Politécnica de Madrid (ES)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1038/s41467-024-55291-x
- Citations
- 7
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 1.64
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- U.S. National Library of Medicine