Patients treated with anti-CD19 chimeric antigen receptor (CAR) T-cell therapies have shown either sustained remission or rapid progression. Traditional survival modeling may underestimate outcomes in these situations, by assuming the same mortality rate for all patients. To illustrate this issue, we compare standard parametric models to mixture cure models for estimating long-term overall survival in patients with relapsed or refractory large B-cell lymphoma treated with axicabtagene ciloleucel (axi-cel). Compared to standard models without cure proportions, mixture cure models have similar fit, but substantially different extrapolated survival. Standard models (Weibull and generalized gamma) estimate mean survival of 2.0 years (95% CI (1.5, 3.0)) and 3.0 years (95% CI (1.7, 5.6)), respectively, compared to 15.7 years (95% CI (9.3, 21.1)) and 17.5 yrs (12.0, 22.8) from mixture cure models (using Weibull and generalized gamme distributions). For cancer therapies where substantial fractions achieve long term remission, our results suggest that assumptions of the modeling approach should be considered. Given sufficient follow-up, mixture cure models may provide a more accurate estimate of long-term overall survival compared with standard models.
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http://dx.doi.org/10.1177/0272989X18820535 | DOI Listing |
Stat Methods Med Res
December 2024
Department of Public Health Sciences, Queen's University, Kingston, ON, Canada.
The semiparametric accelerated failure time mixture cure model is an appealing alternative to the proportional hazards mixture cure model in analyzing failure time data with long-term survivors. However, this model was only proposed for independent survival data and it has not been extended to clustered or correlated survival data, partly due to the complexity of the estimation method for the model. In this paper, we consider a marginal semiparametric accelerated failure time mixture cure model for clustered right-censored failure time data with a potential cure fraction.
View Article and Find Full Text PDFDent Mater
December 2024
Division of Dentistry, School of Medical Sciences, University of Manchester, Manchester, UK; Photon Science Institute, University of Manchester, Manchester, UK. Electronic address:
Objective: Zinc oxide (ZnO) powder possesses antibacterial activity and although white in color, it can severely reduce the depth of cure (DoC) of resin-based composite (RBC). This study investigated the effect of unary and binary photoinitiator systems on the DoC and degree of conversion (DC) of formulated RBC containing ZnO-nanoparticles.
Methods: Fourteen RBCs (n = 3/group) were formulated consisting of 50 wt% mixture of monomers (Bis-GMA, TEGDMA, and UDMA) and 50 wt% fillers (inert barium glass powder and silica nanoparticles).
Pharmacoecon Open
December 2024
Health Economics and Outcomes Research Ltd, Cardiff, UK.
Objectives: This study assessed the cost-effectiveness of nivolumab plus ipilimumab (NIVO+IPI) versus platinum-doublet chemotherapy (chemo) in untreated metastatic non-small cell lung cancer (NSCLC) using mixture-cure modelling, an approach used to analyse immuno-oncology treatments due to their underlying methods depicting delayed but durable response in some patients.
Methods: A mixture-cure economic model was developed from a US third-party payer perspective to assess the lifetime costs and benefits of NIVO+IPI versus chemo using data from Part 1 of the phase III CheckMate 227 trial with 5 years of follow-up. The model consisted of four health states: progression-free without long-term response (non-LTR), progression-free with long-term response (LTR), post-progression, and death.
Stat Med
December 2024
Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.
In studying the association between clinical measurements and time-to-event outcomes within a cure model, utilizing repeated observations rather than solely baseline values may lead to more accurate estimation. However, there are two main challenges in this context. First, longitudinal measurements are usually observed at discrete time points and second, for diseases that respond well to treatment, a high censoring proportion may occur by the end of the trial.
View Article and Find Full Text PDFBiometrics
October 2024
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, and School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100190, P.R. China.
With the advent of massive survival data with a cure fraction, large-scale regression for analyzing the effects of risk factors on a general population has become an emerging challenge. This article proposes a new probability-weighted method for estimation and inference for semiparametric cure regression models. We develop a flexible formulation of the mixture cure model consisting of the model-free incidence and the latency assumed by the semiparametric proportional hazards model.
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