A Phase 3b Study for Management of Ocular Side Effects in Patients with Epidermal Growth Factor Receptor-Amplified Glioblastoma Receiving Depatuxizumab Mafodotin.

INTRODUCTION: The Understanding New Interventions with GBM ThErapy (UNITE) study was designed to assess the effect of prophylaxis for ocular side effects (OSEs) in patients with glioblastoma receiving the antibody-drug conjugate (ADC) depatuxizumab mafodotin. UNITE (NCT03419403) was a phase 3b, open-label, randomized, exploratory study performed at 18 research sites in 5 countries. METHODS: The study enrolled adult patients with epidermal growth factor receptor-amplified, histologically confirmed, newly diagnosed supratentorial glioblastoma or grade IV gliosarcoma, and a Karnofsky Performance Status ≥70, receiving depatuxizumab mafodotin. All patients were administered depatuxizumab mafodotin during concurrent radiotherapy and temozolomide and with adjuvant temozolomide. Ninety patients were to be randomized (1:1:1) to OSE prophylactic treatments with each depatuxizumab mafodotin infusion: (a) standard steroid eye drops, (b) standard steroid eye drops plus vasoconstrictor eye drops and cold compress, or (c) enhanced steroids plus vasoconstrictor eye drops and cold compress. A Corneal Epitheliopathy Adverse Event (CEAE) scale was devised to capture symptoms, grade OSEs (scale of 0-5), and inform ADC dose modifications. The primary endpoint was the frequency of a required change in OSE management due to inadequate control of OSEs, defined as decline from baseline in visual acuity (using logarithm of the minimum angle of resolution [LogMAR] scale) or a Grade ≥3 CEAE event, in the worst eye in the first 8 weeks of treatment; unless otherwise specified, the treatment period refers to both the chemoradiation and adjuvant phases. RESULTS: The UNITE study was stopped early after interim analysis of separate phase III trial showed no difference in survival from depatuxizumab mafodotin. Forty patients were randomized (38 received depatuxizumab mafodotin). Overall, 23 patients experienced inadequate control of OSEs that required change in OSE management within 8 weeks of treatment, with 21 (70.0%) experiencing ≥+0.3 change on LogMAR scale in baseline-adjusted visual acuity and 12 reporting a grade ≥3 CEAE. There were no definitive differences among prophylactic treatments. CONCLUSIONS: The premature cessation of the study precludes definitive conclusions regarding the OSE prophylaxis strategies. No new clinically significant safety findings were noted. Despite these limitations, this study highlights the need for novel assessment tools to better understand and mitigate OSEs associated with ADCs.

Regression Trees for Longitudinal Data with Baseline Covariates.

Longitudinal changes in a population of interest are often heterogeneous and may be influenced by a combination of baseline factors. In such cases, traditional linear mixed effects models (Laird and Ware, 1982) assuming common parametric form for the mean structure may not be applicable. We show that the regression tree methodology for longitudinal data can identify and characterize longitudinally homogeneous subgroups. Most of the currently available regression tree construction methods are either limited to a repeated measures scenario or combine the heterogeneity among subgroups with the random inter-subject variability. We propose a longitudinal classification and regression tree (LongCART) algorithm under conditional inference framework (Hothorn, Hornik and Zeileis, 2006) that overcomes these limitations utilizing a two-step approach. The LongCART algorithm first selects the partitioning variable via a parameter instability test and then finds the optimal split for the selected partitioning variable. Thus, at each node, the decision of further splitting is type-I error controlled and thus it guards against variable selection bias, over-fitting and spurious splitting. We have obtained the asymptotic results for the proposed instability test and examined its finite sample behavior through simulation studies. Comparative performance of LongCART algorithm were evaluated empirically via simulation studies. Finally, we applied LongCART to study the longitudinal changes in choline levels among HIV-positive patients.

The effect of water activity and storage temperature on the growth of Aspergillus flavus in medicinal herbs.

The quality control of medicinal herbs post harvesting or after collection becomes very critical because of susceptibility to fungal invasion during storage depending on the temperature and humidity of the storage area. The information on moisture equilibrium is important on the process and storage of foods which can be extended to medicinal herbs. In the present study, the growth of Aspergillus flavus was observed on selected ten medicinal herbs with water activity aw above 0.81 when stored at 25 +/- 2 degrees C, 30 +/- 2 degrees C and 40 +/- 2 degrees C except for Picrorhiza kurrooa and Alpinia galanga which were found to have anti-fungal properties. Aspergillus flavus did not grow in any samples of medicinal herbs with water activity aw below 0.81 at temperatures of 25 +/- 2 degrees C, 30 +/- 2 degrees C and 40 +/- 2 degrees C. Also Aspergillus flavus did not grow in any samples of medicinal herbs with water activity aw above 0.81 when stored below 10 +/- 2 degrees C. Therefore it can be concluded that the contamination of medicinal herbs with aflatoxins can be minimized by controlling water activity and storage temperature. Sorption isotherms (desorption) can be interpreted to determine the optimum drying which can lower the water activity to the level required for preventing growth of Aspergillus flavus and also for ensuring quality of medicinal herbs which may get destroyed upon over drying. Furthermore, it also saves incremental cost in prolonged drying over the optimum drying.