Repository logo
 

Dynamic partitioning of branched-chain amino acids-derived nitrogen supports renal cancer progression.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Sciacovelli, Marco 
Dugourd, Aurelien 
Jimenez, Lorea Valcarcel  ORCID logo  https://orcid.org/0000-0002-7309-9924
Yang, Ming 
Nikitopoulou, Efterpi 

Abstract

Metabolic reprogramming is critical for tumor initiation and progression. However, the exact impact of specific metabolic changes on cancer progression is poorly understood. Here, we integrate multimodal analyses of primary and metastatic clonally-related clear cell renal cancer cells (ccRCC) grown in physiological media to identify key stage-specific metabolic vulnerabilities. We show that a VHL loss-dependent reprogramming of branched-chain amino acid catabolism sustains the de novo biosynthesis of aspartate and arginine enabling tumor cells with the flexibility of partitioning the nitrogen of the amino acids depending on their needs. Importantly, we identify the epigenetic reactivation of argininosuccinate synthase (ASS1), a urea cycle enzyme suppressed in primary ccRCC, as a crucial event for metastatic renal cancer cells to acquire the capability to generate arginine, invade in vitro and metastasize in vivo. Overall, our study uncovers a mechanism of metabolic flexibility occurring during ccRCC progression, paving the way for the development of novel stage-specific therapies.

Description

Keywords

Humans, Carcinoma, Renal Cell, Amino Acids, Branched-Chain, Nitrogen, Kidney Neoplasms, Arginine, Cell Line, Tumor

Journal Title

Nat Commun

Conference Name

Journal ISSN

2041-1723
2041-1723

Volume Title

13

Publisher

Springer Science and Business Media LLC
Sponsorship
Medical Research Council (MC_UU_12022/6)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (722605)
Cancer Research UK (A25117)
Cancer Research UK (A27453)
National Institute for Health and Care Research (IS-BRC-1215-20014)
Medical Research Council (MC_UU_12022/7)
European Research Council (819920)