Real-World Impact of Immune Checkpoint Inhibitors in Metastatic Uveal Melanoma
Abstract
:1. Introduction
2. Materials and Methods
2.1. Patient Population and Databases
2.2. Treatment and Response
2.3. Statistical Analysis
3. Results
3.1. Patient Population
3.2. First-Line Treatment in the pre-ICI and post-ICI Era
3.3. Survival Per Treatment Era
3.4. Objective Response Rates and Survival per First-Line Treatment
3.5. Retreatment and Second-Line Treatment
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Abbreviations
AJCC: | American Joint Committee on Cancer |
CI: | confidence intervals |
CM: | cutaneous melanoma |
CR: | complete response |
ECOG: | Eastern cooperative oncology group |
HR: | hazard ratio |
ICI: | immune checkpoint inhibitors |
LDH: | lactate dehydrogenase |
OS: | overall survival |
ORR: | objective response rate |
PFS: | progression-free survival |
PR: | partial response |
SD: | stable disease |
ULN: | upper limit of normal |
UM: | uveal melanoma |
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Characteristic | Pre-ICI era n = 32 (%) | Post-ICI era n = 94 (%) | |
---|---|---|---|
Age | median (range) | 62 (34–89) | 65 (22–87) |
Sex | male female | 14 (43.8%) 18 (56.3%) | 47 (50.0%) 47 (50.0%) |
AJCC stage at diagnosis | stage I stage IIA stage IIB stage IIIA stage IIIB stage IIIC stage IV unknown | 1 (3.1%) 11 (34.4%) 11 (34.4%) 6 (18.8%) 2 (6.3%) 0 (0%) 1 (3.1%) 0 (0%) | 7 (7.4%) 25 (26.6%) 24 (25.5%) 20 (21.3%) 10 (10.6%) 3 (3.2%) 4 (4.3%) 1 (1.1%) |
ECOG performance status | 0 1 2 3 unknown | 11 (57.9%) 5 (26.3%) 2 (10.5%) 1 (5.3%) 13 | 53 (60.2%) 25 (28.4%) 9 (10.2%) 1 (1.1%) 6 |
Metastatic sites | liver only extrahepatic only liver + extrahepatic | 15 (46.9%) 2 (6.3%) 15 (46.9%) | 39 (41.5%) 8 (8.5%) 47 (50.0%) |
LDH | LDH ≤ ULN LDH 1-2× ULN LDH > 2× ULN unknown | 4 (25.0%) 6 (37.5%) 6 (37.5%) 16 | 34 (38.2%) 33 (37.1%) 22 (24.7%) 5 |
Time from primary diagnosis to metastatic disease | <1 year 1–3 years >3 years | 3 (9.4%) 10 (31.3%) 19 (59.4%) | 22 (23.4%) 27 (28.7%) 45 (47.9%) |
Time to start systemic treatment * | <6 months 6–12 months >12 months | 30 (96.7%) 1 (3.2%) 0 (0%) | 75 (86.2%) 7 (8.0%) 5 (5.7%) |
Temozolomide n = 32 (%) | Ipilimumab n = 24 (%) | Pembrolizumab n = 43 (%) | Ipilimumab/Nivolumab n = 19 (%) | |
---|---|---|---|---|
CR | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
PR | 0 (0%) | 0 (0%) | 3 (7.0%) | 4 (21.1%) |
SD ≥ 24 weeks | 2 (6.3%) | 6 (25.0%) | 12 (27.9%) | 2 (10.5%) |
PD | 30 (93.4%) | 18 (75.0%) | 28 (65.1%) | 13 (68.4%) |
PFS, median | 2.5 | 3.0 | 4.8 | 3.7 |
6-month PFS rate | 3.1% | 16.7% | 32.6% | 31.6% |
OS, median | 5.7 | 9.9 | 10.3 | 18.9 |
1-year OS rate | 18.8% | 50.0% | 38.7% | 57.6% |
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Bol, K.F.; Ellebaek, E.; Hoejberg, L.; Bagger, M.M.; Larsen, M.S.; Klausen, T.W.; Køhler, U.H.; Schmidt, H.; Bastholt, L.; Kiilgaard, J.F.; et al. Real-World Impact of Immune Checkpoint Inhibitors in Metastatic Uveal Melanoma. Cancers 2019, 11, 1489. https://doi.org/10.3390/cancers11101489
Bol KF, Ellebaek E, Hoejberg L, Bagger MM, Larsen MS, Klausen TW, Køhler UH, Schmidt H, Bastholt L, Kiilgaard JF, et al. Real-World Impact of Immune Checkpoint Inhibitors in Metastatic Uveal Melanoma. Cancers. 2019; 11(10):1489. https://doi.org/10.3390/cancers11101489
Chicago/Turabian StyleBol, Kalijn Fredrike, Eva Ellebaek, Lise Hoejberg, Mette Marie Bagger, Mathilde Skaarup Larsen, Tobias Wirenfeldt Klausen, Ulrich Heide Køhler, Henrik Schmidt, Lars Bastholt, Jens Folke Kiilgaard, and et al. 2019. "Real-World Impact of Immune Checkpoint Inhibitors in Metastatic Uveal Melanoma" Cancers 11, no. 10: 1489. https://doi.org/10.3390/cancers11101489
APA StyleBol, K. F., Ellebaek, E., Hoejberg, L., Bagger, M. M., Larsen, M. S., Klausen, T. W., Køhler, U. H., Schmidt, H., Bastholt, L., Kiilgaard, J. F., Donia, M., & Svane, I. M. (2019). Real-World Impact of Immune Checkpoint Inhibitors in Metastatic Uveal Melanoma. Cancers, 11(10), 1489. https://doi.org/10.3390/cancers11101489