Genome-scale CRISPR screening identifies cell cycle and protein ubiquitination processes as druggable targets for erlotinib-resistant lung cancer.
Jieun LeeAhyoung ChoiSung-Yup ChoYukyung JunDeukchae NaAhra LeeGiyong JangJee Young KwonJaesang KimSanghyuk LeeCharles LeePublished in: Molecular oncology (2020)
Erlotinib is highly effective in lung cancer patients with epidermal growth factor receptor (EGFR) mutations. However, despite initial favorable responses, most patients rapidly develop resistance to erlotinib soon after the initial treatment. This study aims to identify new genes and pathways associated with erlotinib resistance mechanisms in order to develop novel therapeutic strategies. Here, we induced knockout (KO) mutations in erlotinib-resistant human lung cancer cells (NCI-H820) using a genome-scale CRISPR-Cas9 sgRNA library to screen for genes involved in erlotinib susceptibility. The spectrum of sgRNAs incorporated among erlotinib-treated cells was substantially different to that of the untreated cells. Gene set analyses showed a significant depletion of 'cell cycle process' and 'protein ubiquitination pathway' genes among erlotinib-treated cells. Chemical inhibitors targeting genes in these two pathways, such as nutlin-3 and carfilzomib, increased cancer cell death when combined with erlotinib in both in vitro cell line and in vivo patient-derived xenograft experiments. Therefore, we propose that targeting cell cycle processes or protein ubiquitination pathways are promising treatment strategies for overcoming resistance to EGFR inhibitors in lung cancer.
Keyphrases
- epidermal growth factor receptor
- cell cycle
- advanced non small cell lung cancer
- tyrosine kinase
- genome wide
- cell proliferation
- induced apoptosis
- cell cycle arrest
- cell death
- crispr cas
- dna methylation
- newly diagnosed
- small cell lung cancer
- endothelial cells
- squamous cell carcinoma
- signaling pathway
- endoplasmic reticulum stress
- cancer therapy
- young adults
- copy number
- drug delivery
- ejection fraction
- amino acid
- papillary thyroid
- genome wide analysis
- lymph node metastasis
- gene expression
- prognostic factors
- multiple myeloma
- diabetic rats
- drug induced
- stress induced