Genome-Wide Sequencing of Cell-Free DNA Identifies Copy-Number Alterations That Can Be Used for Monitoring Response to Immunotherapy in Cancer Patients.
Taylor J JensenAaron M GoodmanShumei KatoChristopher K EllisonGregory A DanielsLisa KimPrachi NakasheErin McCarthyAmin R MazloomGraham McLennanDaniel S GrosuMathias EhrichRazelle KurzrockPublished in: Molecular cancer therapeutics (2018)
Inhibitors of the PD-1/PD-L1/CTLA-4 immune checkpoint pathway have revolutionized cancer treatment. Indeed, some patients with advanced, refractory malignancies achieve durable responses; however, only a subset of patients benefit, necessitating new biomarkers to predict outcome. Interrogating cell-free DNA (cfDNA) isolated from plasma (liquid biopsy) provides a promising method for monitoring response. We describe the use of low-coverage, genome-wide sequencing of cfDNA, validated extensively for noninvasive prenatal testing, to detect tumor-specific copy-number alterations, and the development of a new metric-the genome instability number (GIN)-to monitor response to these drugs. We demonstrate how the GIN can be used to discriminate clinical response from progression, differentiate progression from pseudoprogression, and identify hyperprogressive disease. Finally, we provide evidence for delayed kinetics in responses to checkpoint inhibitors relative to molecularly targeted therapies. Overall, these data demonstrate a proof of concept for using this method for monitoring treatment outcome in patients with cancer receiving immunotherapy.
Keyphrases
- genome wide
- copy number
- mitochondrial dna
- dna methylation
- end stage renal disease
- ejection fraction
- single cell
- newly diagnosed
- chronic kidney disease
- dna damage
- pregnant women
- prognostic factors
- multidrug resistant
- peritoneal dialysis
- cell cycle
- patient reported outcomes
- ionic liquid
- patient reported
- deep learning
- ultrasound guided
- machine learning
- cell proliferation