Targeting HER2-AXL heterodimerization to overcome resistance to HER2 blockade in breast cancer.
Anna Adam-ArtiguesEnrique J Arenas LahuertaAlex Martínez-SabadellFara Brasó-MaristanyRaimundo CerveraEduardo TormoCristina HernandoMaría Teresa Martínez MartínezJuan Antonio Carbonell-AsinsSoraya SimónJesús PovedaSantiago MoragónSandra ZazoDébora MartínezAna RoviraOctavio BurguésFederico RojoJoan AlbanellBegoña BermejoAna LluchAleix PratJoaquín ArribasPilar ErolesJuan Miguel CejalvoPublished in: Science advances (2022)
Anti-HER2 therapies have markedly improved prognosis of HER2-positive breast cancer. However, different mechanisms play a role in treatment resistance. Here, we identified AXL overexpression as an essential mechanism of trastuzumab resistance. AXL orchestrates epithelial-to-mesenchymal transition and heterodimerizes with HER2, leading to activation of PI3K/AKT and MAPK pathways in a ligand-independent manner. Genetic depletion and pharmacological inhibition of AXL restored trastuzumab response in vitro and in vivo. AXL inhibitor plus trastuzumab achieved complete regression in trastuzumab-resistant patient-derived xenograft models. Moreover, AXL expression in HER2-positive primary tumors was able to predict prognosis. Data from the PAMELA trial showed a change in AXL expression during neoadjuvant dual HER2 blockade, supporting its role in resistance. Therefore, our study highlights the importance of targeting AXL in combination with anti-HER2 drugs across HER2-amplified breast cancer patients with high AXL expression. Furthermore, it unveils the potential value of AXL as a druggable prognostic biomarker in HER2-positive breast cancer.
Keyphrases
- tyrosine kinase
- epidermal growth factor receptor
- positive breast cancer
- pi k akt
- poor prognosis
- signaling pathway
- cell proliferation
- clinical trial
- randomized controlled trial
- squamous cell carcinoma
- oxidative stress
- rectal cancer
- binding protein
- machine learning
- young adults
- cancer therapy
- risk assessment
- long non coding rna
- copy number
- human health
- deep learning
- climate change