High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy.
Carsten KriegMalgorzata NowickaSilvia GugliettaSabrina SchindlerFelix J HartmannLukas M WeberReinhard DummerMark D RobinsonMitchell Paul LevesqueBurkhard BecherPublished in: Nature medicine (2018)
Immune-checkpoint blockade has revolutionized cancer therapy. In particular, inhibition of programmed cell death protein 1 (PD-1) has been found to be effective for the treatment of metastatic melanoma and other cancers. Despite a dramatic increase in progression-free survival, a large proportion of patients do not show durable responses. Therefore, predictive biomarkers of a clinical response are urgently needed. Here we used high-dimensional single-cell mass cytometry and a bioinformatics pipeline for the in-depth characterization of the immune cell subsets in the peripheral blood of patients with stage IV melanoma before and after 12 weeks of anti-PD-1 immunotherapy. During therapy, we observed a clear response to immunotherapy in the T cell compartment. However, before commencing therapy, a strong predictor of progression-free and overall survival in response to anti-PD-1 immunotherapy was the frequency of CD14+CD16-HLA-DRhi monocytes. We confirmed this by conventional flow cytometry in an independent, blinded validation cohort, and we propose that the frequency of monocytes in PBMCs may serve in clinical decision support.
Keyphrases
- preterm birth
- peripheral blood
- single cell
- free survival
- clinical decision support
- flow cytometry
- rna seq
- cancer therapy
- end stage renal disease
- high throughput
- ejection fraction
- newly diagnosed
- drug delivery
- chronic kidney disease
- dendritic cells
- randomized controlled trial
- peritoneal dialysis
- electronic health record
- clinical trial
- stem cells
- patient reported outcomes
- bone marrow
- small molecule
- cell therapy
- combination therapy
- amino acid
- patient reported
- young adults