Distinct cellular mechanisms underlie anti-CTLA-4 and anti-PD-1 checkpoint blockade Journal Article
| Authors: | Wei, S. C.; Levine, J. H.; Cogdill, A. P.; Zhao, Y.; Anang, N. A. A. S.; Andrews, M. C.; Sharma, P.; Wang, J.; Wargo, J. A.; Pe'er, D.; Allison, J. P. |
| Article Title: | Distinct cellular mechanisms underlie anti-CTLA-4 and anti-PD-1 checkpoint blockade |
| Abstract: | Immune-checkpoint blockade is able to achieve durable responses in a subset of patients; however, we lack a satisfying comprehension of the underlying mechanisms of anti-CTLA-4- and anti-PD-1-induced tumor rejection. To address these issues, we utilized mass cytometry to comprehensively profile the effects of checkpoint blockade on tumor immune infiltrates in human melanoma and murine tumor models. These analyses reveal a spectrum of tumor-infiltrating T cell populations that are highly similar between tumor models and indicate that checkpoint blockade targets only specific subsets of tumor-infiltrating T cell populations. Anti-PD-1 predominantly induces the expansion of specific tumor-infiltrating exhausted-like CD8 T cell subsets. In contrast, anti-CTLA-4 induces the expansion of an ICOS+ Th1-like CD4 effector population in addition to engaging specific subsets of exhausted-like CD8 T cells. Thus, our findings indicate that anti-CTLA-4 and anti-PD-1 checkpoint-blockade-induced immune responses are driven by distinct cellular mechanisms. © 2017 Elsevier Inc. |
| Keywords: | melanoma; ctla-4; tumor; pd-1; costimulation; t cell; checkpoint blockade; host immune response; mass cytometry; tumor-infiltrating lymphocyte |
| Journal Title: | Cell |
| Volume: | 170 |
| Issue: | 6 |
| ISSN: | 0092-8674 |
| Publisher: | Cell Press |
| Date Published: | 2017-09-07 |
| Start Page: | 1120 |
| End Page: | 1133.e17 |
| Language: | English |
| DOI: | 10.1016/j.cell.2017.07.024 |
| PROVIDER: | scopus |
| PMCID: | PMC5591072 |
| PUBMED: | 28803728 |
| DOI/URL: | |
| Notes: | Article -- Export Date: 2 October 2017 -- Source: Scopus |
Altmetric
Citation Impact
BMJ Impact Analytics
Related MSK Work