Immune-related adverse events are clustered into distinct subtypes by T-cell profiling before and early after anti-PD-1 treatment.
Kyung Hwan KimJoon Young HurJinhyun ChoBo Mi KuJiae KohJune Young KohJong-Mu SunSe-Hoon LeeJin Seok AhnKeunchil ParkMyung-Ju AhnEui-Cheol ShinPublished in: Oncoimmunology (2020)
Although anti-programmed death-1 (PD-1) treatment has shown remarkable anti-tumor efficacy, immune-related adverse events (irAEs) develop with heterogeneous clinical manifestations. However, the immunological understanding of irAEs is currently limited. In the present study, we analyzed peripheral blood T cells obtained from cancer patients who received anti-PD-1 treatment to determine the immunological characteristics of irAEs. This study included 31 patients with refractory thymic epithelial tumor (TET) who were enrolled in a phase II trial of pembrolizumab (NCT02607631) and 60 patients with metastatic non-small cell lung cancer (NSCLC) who received pembrolizumab or nivolumab. T-cell profiling was performed by multicolor flow cytometry using peripheral blood obtained before treatment and 7 days after the first dose of anti-PD-1 antibodies. irAEs developed in 21 TET patients and 24 NSCLC patients. Severe (≥ grade 3) irAEs occurred in 7 TET patients (22.6%) and 6 NSCLC patients (10.0%). Patients with severe irAEs exhibited a significantly lower fold increase in the frequency of effector regulatory T (eTreg) cells after anti-PD-1 treatment, a higher ratio of T helper-17 (Th17) and T helper-1 cells at baseline, and a higher percentage of Ki-67+ cells among PD-1+CD8+ T cells posttreatment. In clustering analysis using the T-cell parameters, patients with irAEs were grouped into four distinct subtypes: Th17-related, TNF-related, CD8-related Treg-compensated, and CD8-related Treg-uncompensated. The T-cell parameters showed a predictive value for the development of each subtype of severe irAEs. In conclusion, severe irAEs after anti-PD-1 treatment were clustered into four immunological subtypes, and potential biomarkers for early prediction of severe irAEs were proposed.
Keyphrases
- end stage renal disease
- peripheral blood
- ejection fraction
- newly diagnosed
- small cell lung cancer
- chronic kidney disease
- induced apoptosis
- peritoneal dialysis
- early onset
- advanced non small cell lung cancer
- randomized controlled trial
- single cell
- immune response
- regulatory t cells
- rheumatoid arthritis
- signaling pathway
- endoplasmic reticulum stress
- replacement therapy
- combination therapy
- cell death
- open label
- cell cycle arrest
- rna seq
- locally advanced
- pi k akt