Mechanisms of Resistance to EGFR Inhibition Reveal Metabolic Vulnerabilities in Human GBM.
Andrew McKinneyOlle R LindbergJane R EnglerKatharine Y ChenAnupam KumarHenry GongKan V LuErin F SimondsTimothy F CloughesyLinda M LiauMichael PradosAndrew W BollenMitchel S BergerJoseph T C ShiehC David JamesTheodore P NicolaidesWilliam H YongAlbert LaiMonika E HegiWilliam A WeissJoanna J PhillipsPublished in: Molecular cancer therapeutics (2019)
Amplification of the epidermal growth factor receptor gene (EGFR) represents one of the most commonly observed genetic lesions in glioblastoma (GBM); however, therapies targeting this signaling pathway have failed clinically. Here, using human tumors, primary patient-derived xenografts (PDX), and a murine model for GBM, we demonstrate that EGFR inhibition leads to increased invasion of tumor cells. Further, EGFR inhibitor-treated GBM demonstrates altered oxidative stress, with increased lipid peroxidation, and generation of toxic lipid peroxidation products. A tumor cell subpopulation with elevated aldehyde dehydrogenase (ALDH) levels was determined to comprise a significant proportion of the invasive cells observed in EGFR inhibitor-treated GBM. Our analysis of the ALDH1A1 protein in newly diagnosed GBM revealed detectable ALDH1A1 expression in 69% (35/51) of the cases, but in relatively low percentages of tumor cells. Analysis of paired human GBM before and after EGFR inhibitor therapy showed an increase in ALDH1A1 expression in EGFR-amplified tumors (P < 0.05, n = 13 tumor pairs), and in murine GBM ALDH1A1-high clones were more resistant to EGFR inhibition than ALDH1A1-low clones. Our data identify ALDH levels as a biomarker of GBM cells with high invasive potential, altered oxidative stress, and resistance to EGFR inhibition, and reveal a therapeutic target whose inhibition should limit GBM invasion.
Keyphrases
- epidermal growth factor receptor
- small cell lung cancer
- tyrosine kinase
- advanced non small cell lung cancer
- induced apoptosis
- oxidative stress
- endothelial cells
- signaling pathway
- newly diagnosed
- genome wide
- induced pluripotent stem cells
- single cell
- poor prognosis
- binding protein
- pi k akt
- gene expression
- machine learning
- ischemia reperfusion injury
- cell cycle arrest
- cell migration
- climate change
- bone marrow
- electronic health record
- cancer therapy
- deep learning
- human health
- artificial intelligence
- smoking cessation
- cell death