The PI3K-AKT-mTOR axis persists as a therapeutic dependency in KRASG12D-driven non-small cell lung cancer
W J McDaid1,2,3, L Wilson2,3, H Adderley1,2,4,3
1Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK.
Introduction:
KRASG12C and KRASG12D inhibitors represent a major translational breakthrough for non-small cell lung cancer (NSCLC) and cancer in general by directly targeting its most mutated oncoprotein. However, resistance to these small molecules has highlighted the need for rational combination partners necessitating a critical understanding of signaling downstream of KRAS mutant isoforms.
Methods:
We contrasted tumor development between KrasG12C and KrasG12D genetically engineered mouse models (GEMMs). To corroborate findings and determine mutant subtype-specific dependencies, isogenic models of KrasG12C and KrasG12D initiation and adaptation were profiled by RNA sequencing. We also employed cell line models of established KRAS mutant NSCLC and determined therapeutic vulnerabilities through pharmacological inhibition. We analysed differences in survival outcomes for patients affected by advanced KRASG12C or KRASG12D-mutant NSCLC.
Results:
KRASG12D exhibited higher potency in vivo, manifesting as more rapid lung tumor formation and reduced survival of KRASG12D GEMMs compared to KRASG12C. This increased potency, recapitulated in an isogenic initiation model, was associated with enhanced PI3K-AKT-mTOR signaling. However, KRASG12C oncogenicity and downstream pathway activation were comparable with KRASG12D at later stages of tumorigenesis in vitro and in vivo, consistent with similar clinical outcomes in patients. Despite this, established KRASG12D NSCLC models depended more on the PI3K-AKT-mTOR pathway, while KRASG12C models on the MAPK pathway. Specifically, KRASG12D inhibition was enhanced by AKT inhibition in vitro and in vivo.
Conclusions:
Our data highlight a unique combination treatment vulnerability and suggest that patient selection strategies for combination approaches using direct KRAS inhibitors should be i) contextualised to individual RAS mutants, and ii) tailored to their downstream signaling.
Insights
KRAS inhibitors show promise for non-small cell lung cancer (NSCLC), but resistance necessitates combination therapies. Targeting KRAS G12D with AKT inhibitors may overcome resistance, unlike KRAS G12C, guiding personalized NSCLC treatment.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- KRAS G12C and KRAS G12D inhibitors are breakthroughs for non-small cell lung cancer (NSCLC).
- Resistance to KRAS inhibitors necessitates understanding downstream signaling for combination therapies.
- KRAS is the most frequently mutated oncogene in cancer.
Purpose of the Study:
- To contrast tumor development and signaling dependencies between KRAS G12C and KRAS G12D mutant isoforms in NSCLC.
- To identify mutant-specific therapeutic vulnerabilities and potential combination partners for KRAS-driven NSCLC.
- To analyze survival outcomes for patients with advanced KRAS G12C or KRAS G12D-mutant NSCLC.
Main Methods:
- Comparison of Kras G12C and Kras G12D genetically engineered mouse models (GEMMs).
- RNA sequencing of isogenic models to profile Kras G12C and G12D initiation and adaptation.
- Pharmacological inhibition in NSCLC cell line models and analysis of patient survival data.
Main Results:
- KRAS G12D exhibited higher in vivo potency, leading to faster tumor formation and reduced survival compared to KRAS G12C.
- KRAS G12D-driven tumors showed enhanced PI3K-AKT-mTOR signaling, while KRAS G12C tumors relied more on the MAPK pathway.
- Combination of KRAS G12D inhibition with AKT inhibition demonstrated enhanced efficacy in vitro and in vivo.
Conclusions:
- KRAS G12D-driven NSCLC shows a specific vulnerability to combined KRAS and AKT inhibition.
- Patient selection for KRAS inhibitor combinations should be tailored to specific RAS mutations and their downstream signaling.
- Understanding mutant-specific dependencies is crucial for developing effective combination therapies in NSCLC.
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