bioRxivCancer BiologyPreprint
mTORC2 stabilizes HIF-1β to coordinate metabolic adaptation in lung cancer
Morgane PaqueiD, Ning AniD, Marine LeclercqiD, Anisa AlijuiD, Elodie RenaudeiD, Domien VannesteiD, Denis Heusdens, Jair Marques, Chinmayi PednekariD, Tillmann BedauiD, Juan Fernández-GarcíaiD, Fabienne PeriniD, Raphael VanleyssemiD, Christian Seca, Kim EideniD, Patrick Roncarati, Engy ShokryiD, Rachel L. Baird, Leah Officer-JonesiD, Silvia MartinelliiD, Ian R. PowleyiD, David P. SumptoniD, Thomas MarichaliD, Didier D CataldoiD, Emmanuel Di ValentiniD, , Arnaud BlommeiD
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Abstract
Despite extensive genetic heterogeneity, lung tumors frequently converge on shared signaling dependencies that remain therapeutically underexploited. Here, we identify mTORC2 signaling as a convergent dependency across genetically distinct lung cancer subtypes and uncover HIF-1{beta} as a selective metabolic effector downstream of mTORC2 that promotes lung tumor progression. Elevated mTORC2 signaling in lung adenocarcinoma was associated with poor overall survival, metastatic dissemination and metabolic rewiring. Using complementary genetically engineered mouse models of Rictor deletion or overexpression in Kras-driven lung tumors, we show that mTORC2 activity is dispensable for normal lung homeostasis but required for tumor progression and metabolic adaptation in vivo. Mechanistically, mTORC2 stabilized HIF-1{beta} by preventing its ubiquitin-independent proteasomal degradation through a non-canonical PKC-CK2 signaling axis, independently of AKT. Integrated multi-omics analyses identified extensive metabolic rewiring downstream of the mTORC2-HIF-1{beta} axis, with sphingolipid metabolism emerging as a prominent and therapeutically exploitable vulnerability. Accordingly, pharmacological targeting of sphingolipid metabolism markedly impaired the growth of mTORC2-driven lung tumors in vivo. Together, our findings establish a non-canonical mTORC2-HIF-1{beta} signaling axis that couples oncogenic signaling to metabolic adaptation and defines therapeutically actionable metabolic vulnerabilities in lung cancer.
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