Journal article
Treatment-Related Adverse Events Predict Improved Clinical Outcome in NSCLC Patients on KEYNOTE-001 at a Single Center
Cancer immunology research, Vol.6(3), pp.288-294
03/2018
DOI: 10.1158/2326-6066.CIR-17-0063
PMCID: PMC6066474
PMID: 29382669
Abstract
We retrospectively analyzed non-small cell lung cancer (NSCLC) patients from a single center treated with pembrolizumab on the KEYNOTE-001 trial and evaluated the association between treatment-related adverse events (trAEs) and clinical outcomes. Investigators reported AEs on trial and graded them according to Common Terminology Criteria for Adverse Events v4.0, labeling them as unlikely, possibly, or probably treatment-related. AEs labeled as possibly/probably related were considered trAEs for this analysis. The relationship between the incidence of a trAE and clinical outcomes was evaluated. Ninety-seven NSCLC patients treated on KEYNOTE-001 at the University of California, Los Angeles were evaluated. Ten percent (85/826) of AEs were trAEs, occurring in 40% (39/97) of patients. The most frequent trAEs were rash (21% patients), fatigue (6% patients), and hypothyroidism (6% patients). The 39 patients that experienced a trAE had increased objective response rate (ORR, 38.5%), progression-free survival (PFS: median, 248 days), and overall survival (OS: median, 493 days), compared with the 58 patients that did not (ORR: 8.9%, PFS: median 60 days, OS: median 144.5 days). The observed association between trAEs and improved clinical outcome persisted when using Cox proportional hazards regression models to assess the confounding effect of covariates and mitigate guarantee-time bias. The association also remained when data were substratified by grade, degree of association, and treatment-related select AE designation. This single-center analysis revealed that trAEs predicted for improved clinical outcome with pembrolizumab, and when controlling for guarantee-time bias and plausible confounders, this association remained. This observed relationship adds to our understanding of anti-PD-1 therapy and could aid clinicians in identifying patients most likely to benefit from therapy.
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Details
- Title: Subtitle
- Treatment-Related Adverse Events Predict Improved Clinical Outcome in NSCLC Patients on KEYNOTE-001 at a Single Center
- Creators
- Aaron Lisberg - University of California, Los AngelesD Andrew Tucker - University of California, Los AngelesJonathan W Goldman - University of California, Los AngelesBrian Wolf - University of California, Los AngelesJames Carroll - University of California, Los AngelesAriana Hardy - University of California, Los AngelesKarolyn Morris - University of California, Los AngelesPaulina Linares - University of California, Los AngelesCarlos Adame - University of California, Los AngelesMarshall L Spiegel - University of California, Los AngelesCourtney Wells - University of California, Los AngelesJordan McKenzie - University of California, Los AngelesBlanca Ledezma - University of California, Los AngelesMelody Mendenhall - University of California, Los AngelesPhillip Abarca - University of California, Los AngelesKrikor Bornazyan - University of California, Los AngelesJaime Hunt - University of California, Los AngelesNima Moghadam - University of California, Los AngelesNatalie Chong - University of California, Los AngelesDanielle Nameth - University of California, Los AngelesCaitlin Marx - University of California, Los AngelesJohn Madrigal - University of California, Los AngelesSitaram Vangala - University of California, Los AngelesNarek Shaverdian - University of California, Los AngelesDavid Elashoff - University of California, Los AngelesEdward B Garon - University of California, Los Angeles
- Resource Type
- Journal article
- Publication Details
- Cancer immunology research, Vol.6(3), pp.288-294
- DOI
- 10.1158/2326-6066.CIR-17-0063
- PMID
- 29382669
- PMCID
- PMC6066474
- ISSN
- 2326-6066
- eISSN
- 2326-6074
- Grant note
- R01 CA208403 / NCI NIH HHS P30 CA016042 / NCI NIH HHS UL1 TR001881 / NCATS NIH HHS
- Language
- English
- Date published
- 03/2018
- Academic Unit
- Orthopedics and Rehabilitation; Physical Therapy and Rehabilitation Science
- Record Identifier
- 9984295053602771
Metrics
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