Drug-Induced Reorganisation of Lipid Metabolism Limits the Therapeutic Efficacy of Ponatinib in Glioma Stem Cells.
Paula AldazAna Olias-ArjonaIrene Lasheras-OteroKarina AusinMarta Redondo-MuñozClaudia WellbrockEnrique SantamariaJoaquin Fernandez-IrigoyenImanol ArozarenaPublished in: Pharmaceutics (2024)
The standard of care for glioblastoma (GBM) involves surgery followed by adjuvant radio- and chemotherapy, but often within months, patients relapse, and this has been linked to glioma stem cells (GSCs), self-renewing cells with increased therapy resistance. The identification of the epidermal growth factor receptor (EGFR) and platelet-derived growth factor receptor (PDGFR) as key players in gliomagenesis inspired the development of inhibitors targeting these tyrosine kinases (TKIs). However, results from clinical trials testing TKIs have been disappointing, and while the role of GSCs in conventional therapy resistance has been extensively studied, less is known about resistance of GSCs to TKIs. In this study, we have used compartmentalised proteomics to analyse the adaptive response of GSCs to ponatinib, a TKI with activity against PDGFR. The analysis of differentially expressed proteins revealed that GSCs respond to ponatinib by broadly rewiring lipid metabolism, involving fatty acid beta-oxidation, cholesterol synthesis, and sphingolipid degradation. Inhibiting each of these metabolic pathways overcame ponatinib adaptation of GSCs, but interrogation of patient data revealed sphingolipid degradation as the most relevant pathway in GBM. Our data highlight that targeting lipid metabolism, and particularly sphingolipid degradation in combinatorial therapies, could improve the outcome of TKI therapies using ponatinib in GBM.
Keyphrases
- chronic myeloid leukemia
- epidermal growth factor receptor
- tyrosine kinase
- stem cells
- growth factor
- fatty acid
- drug induced
- advanced non small cell lung cancer
- liver injury
- clinical trial
- end stage renal disease
- electronic health record
- small cell lung cancer
- induced apoptosis
- ejection fraction
- big data
- minimally invasive
- newly diagnosed
- cancer therapy
- cell therapy
- chronic kidney disease
- palliative care
- healthcare
- prognostic factors
- signaling pathway
- multidrug resistant
- drug delivery
- mass spectrometry
- case report
- quality improvement
- early stage
- hydrogen peroxide
- coronary artery bypass
- randomized controlled trial
- binding protein
- atrial fibrillation
- artificial intelligence
- acute coronary syndrome
- radiation therapy
- bone marrow
- machine learning
- cell death
- phase ii
- cell cycle arrest
- label free
- coronary artery disease
- deep learning
- rectal cancer