Nature Communications (Dec 2022)
Dynamic partitioning of branched-chain amino acids-derived nitrogen supports renal cancer progression
- Marco Sciacovelli,
- Aurelien Dugourd,
- Lorea Valcarcel Jimenez,
- Ming Yang,
- Efterpi Nikitopoulou,
- Ana S. H. Costa,
- Laura Tronci,
- Veronica Caraffini,
- Paulo Rodrigues,
- Christina Schmidt,
- Dylan Gerard Ryan,
- Timothy Young,
- Vincent R. Zecchini,
- Sabrina H. Rossi,
- Charlie Massie,
- Caroline Lohoff,
- Maria Masid,
- Vassily Hatzimanikatis,
- Christoph Kuppe,
- Alex Von Kriegsheim,
- Rafael Kramann,
- Vincent Gnanapragasam,
- Anne Y. Warren,
- Grant D. Stewart,
- Ayelet Erez,
- Sakari Vanharanta,
- Julio Saez-Rodriguez,
- Christian Frezza
Affiliations
- Marco Sciacovelli
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Aurelien Dugourd
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg University
- Lorea Valcarcel Jimenez
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Ming Yang
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Efterpi Nikitopoulou
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Ana S. H. Costa
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Laura Tronci
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Veronica Caraffini
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Paulo Rodrigues
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Christina Schmidt
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Dylan Gerard Ryan
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Timothy Young
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Vincent R. Zecchini
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Sabrina H. Rossi
- Early Detection Programme, CRUK Cambridge Centre, Department of Oncology, University of Cambridge
- Charlie Massie
- Early Detection Programme, CRUK Cambridge Centre, Department of Oncology, University of Cambridge
- Caroline Lohoff
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg University
- Maria Masid
- Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL)
- Vassily Hatzimanikatis
- Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL)
- Christoph Kuppe
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University
- Alex Von Kriegsheim
- Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine
- Rafael Kramann
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University
- Vincent Gnanapragasam
- Department of Surgery, University of Cambridge and Cambridge University Hospitals NHS Cambridge Biomedical Campus
- Anne Y. Warren
- Department of Histopathology-Cambridge University Hospitals NHS
- Grant D. Stewart
- Department of Surgery, University of Cambridge and Cambridge University Hospitals NHS Cambridge Biomedical Campus
- Ayelet Erez
- Department of Molecular Cell Biology, Weizmann Institute of Science
- Sakari Vanharanta
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- Julio Saez-Rodriguez
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg University
- Christian Frezza
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre
- DOI
- https://doi.org/10.1038/s41467-022-35036-4
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 20
Abstract
Primary and metastatic tumours have different metabolic phenotypes due to changes in nutrient availability. Here the authors perform multi-omic analyses of primary and metastatic renal cancer cells grown in a physiological medium and show that the reprogramming of the branched-chain amino acid catabolism and urea cycle through re-expression of ASS1 allows metabolic flexibility during renal cancer progression.
