Epigenetic modifications of the immune-checkpoint genes CTLA4 and PDCD1 in non-small cell lung cancer results in increased expression.
Sebastian MarwitzSwetlana ScheufeleSven PernerMartin ReckOle AmmerpohlTorsten GoldmannPublished in: Clinical epigenetics (2017)
Targeting checkpoint inhibitors using monoclonal antibodies results in significantly better outcome of cancer patients compared to conventional chemotherapy. However, the current companion diagnostics to predict response is so far suboptimal, since they base on more or less reliable immunohistochemical approaches. In order to overcome these limitations, we analyzed epigenetic modifications of PDCD1 (PD1), CD274 (PD-L1), and CTLA4 in NSCLC tissues from 39 patients. Results were correlated with transcriptome data. Significant differences in the CpG-methylation patterns between tumor tissues and matched controls were observed for CTLA4 and PDCD1 (PD1) showing a decreased methylation of these genes compared to matched tumor-free tissues from the same patients. Results were confirmed by bisulfide sequencing in an independent validation cohort. Hypomethylation also resulted in increased expression of these genes as shown by transcriptome data. These epigenetic pathways as a hallmark of NSCLC might be useful to generate more precise diagnostic approaches in the future.
Keyphrases
- gene expression
- genome wide
- dna methylation
- end stage renal disease
- ejection fraction
- small cell lung cancer
- poor prognosis
- chronic kidney disease
- newly diagnosed
- prognostic factors
- single cell
- peritoneal dialysis
- electronic health record
- drug delivery
- big data
- radiation therapy
- advanced non small cell lung cancer
- long non coding rna
- rna seq
- deep learning
- cell cycle
- bioinformatics analysis
- epidermal growth factor receptor
- transcription factor
- artificial intelligence
- patient reported