Long-Read Spatial Transcriptomics of Patient-Derived Clear Cell Renal Cell Carcinoma Organoids Identifies Heterogeneity and Transcriptional Remodelling Following NUC-7738 Treatment
This study demonstrates that combining long-read spatial transcriptomics with patient-derived organoid models provides a powerful and scalable approach for dissecting gene and isoform-level heterogeneity in ccRCC and for elucidating spatially resolved transcriptional responses to novel therapeutics.
Authors
- Hazem Abdullah (ORCID: https://orcid.org/0009-0003-3476-6258)
- Mustafa Elshani (ORCID: https://orcid.org/0000-0002-2724-0325)
- David J. Harrison (ORCID: https://orcid.org/0000-0001-9041-9988)
- Peter Mullen (ORCID: https://orcid.org/0000-0002-0841-609X)
- Alexander Laird
- Ying Zhang
- Kathryn Kirkwood
Institutions
- University of St Andrews (GB)
- Western General Hospital (GB)
- Economic History Society (GB)
- Edinburgh Cancer Research (GB)
Publication Details
- Journal
- Cancers
- Published
- 2026-01-14
- DOI
- https://doi.org/10.3390/cancers18020254
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00