| Literature DB >> 24719793 |
Alexander Eggermont1, Caroline Robert1, Jean Charles Soria1, Laurence Zitvogel1.
Abstract
Accumulating data from patients treated with checkpoint inhibitors and other immunomodulatory agents indicate that harnessing the power of the immune system is integral to achieve improve long-term cancer containment rates and prolong patient survival. Due to their mechanism of action, immunotherapeutic approaches have the potential to be effective against almost every tumor type. Durable responses to immunotherapy and prolonged patient survival have indeed been documented in individuals with melanoma, as well as kidney and lung cancer. These advances call for the re-evaluation of how clinical benefit is measured in an era in which long-term tumor control and survival are achievable treatment goals.Entities:
Keywords: checkpoint inhibitors; immunotherapy; melanoma; solid tumors; survival; ulceration
Year: 2014 PMID: 24719793 PMCID: PMC3973659 DOI: 10.4161/onci.27560
Source DB: PubMed Journal: Oncoimmunology ISSN: 2162-4011 Impact factor: 8.110
Table 1. Advantages and disadvantages of clinical trial endpoints in measuring treatment benefit
| Endpoint | Definition | Advantages | Disadvantages |
|---|---|---|---|
| DCR | Number of patients with an objective response or SD of predetermined duration according to validated response criteria | • Demonstrates if treatment has a direct biological effect | • Not statistically validated as surrogate for improved survival |
| HR | Comparison of survival at any point in time between two groups of patients | • Determines if difference between survival curves is statistically significant | • Assumes ratio remains constant over time |
| Landmark | Number of patients alive at fixed time points after initiation of therapy | • Provides information on survival outcomes both before and beyond the median value, i.e., on the proportion of patients with early deaths or long-term survival | • Not commonly implemented in trial designs |
| Mean OS | Area under the survival curve | • Reflects data from entire survival curve | • Finite follow-up means data must be extrapolated beyond point of last observed deaths |
| Median OS | Time point at which 50% of patients are expected to have survived | • Universally accepted as direct measure of benefit | • May involve larger studies |
| ORR | Number of patients with complete or partial tumor shrinkage according to validated response criteria | • Demonstrates if treatment has a direct biological effect | • Does not account for agents that work by mechanisms unlikely to cause tumor regression |
| PFS | Time from randomization until objective tumor progression or death | • Smaller sample size and shorter follow-up than needed for survival studies | • Not statistically validated as surrogate for survival in all settings |
Abbreviations: DCR, disease control rate; HR, hazard ratio; ORR, objective response rate; OS, overall survival; PFS, progression-free survival; SD, stable disease.