Dataset Information

Multimodal platform for assessing drug distribution and response in clinical trials.

ABSTRACT:

Background

Response to targeted therapy varies between patients for largely unknown reasons. Here, we developed and applied an integrative platform using mass spectrometry imaging (MSI), phosphoproteomics, and multiplexed tissue imaging for mapping drug distribution, target engagement, and adaptive response to gain insights into heterogeneous response to therapy.

Methods

Patient-derived xenograft (PDX) lines of glioblastoma were treated with adavosertib, a Wee1 inhibitor, and tissue drug distribution was measured with MALDI-MSI. Phosphoproteomics was measured in the same tumors to identify biomarkers of drug target engagement and cellular adaptive response. Multiplexed tissue imaging was performed on sister sections to evaluate spatial co-localization of drug and cellular response. The integrated platform was then applied on clinical specimens from glioblastoma patients enrolled in the phase 1 clinical trial.

Results

PDX tumors exposed to different doses of adavosertib revealed intra- and inter-tumoral heterogeneity of drug distribution and integration of the heterogeneous drug distribution with phosphoproteomics and multiplexed tissue imaging revealed new markers of molecular response to adavosertib. Analysis of paired clinical specimens from patients enrolled in the phase 1 clinical trial informed the translational potential of the identified biomarkers in studying patient's response to adavosertib.

Conclusions

The multimodal platform identified a signature of drug efficacy and patient-specific adaptive responses applicable to preclinical and clinical drug development. The information generated by the approach may inform mechanisms of success and failure in future early phase clinical trials, providing information for optimizing clinical trial design and guiding future application into clinical practice.

SUBMITTER: Lopez BGC

PROVIDER: S-EPMC8730776 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Publications

Multimodal platform for assessing drug distribution and response in clinical trials.

Lopez Begoña G C BGC Kohale Ishwar N IN Du Ziming Z Korsunsky Ilya I Abdelmoula Walid M WM Dai Yang Y Stopka Sylwia A SA Gaglia Giorgio G Randall Elizabeth C EC Regan Michael S MS Basu Sankha S SS Clark Amanda R AR Marin Bianca-Maria BM Mladek Ann C AC Burgenske Danielle M DM Agar Jeffrey N JN Supko Jeffrey G JG Grossman Stuart A SA Nabors Louis B LB Raychaudhuri Soumya S Ligon Keith L KL Wen Patrick Y PY Alexander Brian B Lee Eudocia Q EQ Santagata Sandro S Sarkaria Jann J White Forest M FM Agar Nathalie Y R NYR

Neuro-oncology 20220101 1

<h4>Background</h4>Response to targeted therapy varies between patients for largely unknown reasons. Here, we developed and applied an integrative platform using mass spectrometry imaging (MSI), phosphoproteomics, and multiplexed tissue imaging for mapping drug distribution, target engagement, and adaptive response to gain insights into heterogeneous response to therapy.<h4>Methods</h4>Patient-derived xenograft (PDX) lines of glioblastoma were treated with adavosertib, a Wee1 inhibitor, and tiss ...[more]

PMID: 34383057

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Project description:BackgroundThe management of drug safety with the collection of reliable safety data during the conduction of clinical trials conduct is essential for the registry and marketing of products. The systematic evaluation of this process, based on objective measures, requires the application of quality instruments. This study was aimed to design and validate eight instruments through the components of quality (structure, process, and results), for characterizing and assessing the process of drug safety management, during the conduction of clinical trials.MethodsThe eight instruments were designed according to the international recommendations for Good Clinical Practice (GCP) and comprise a knowledge survey for professionals at the investigational sites, a satisfaction scale of internal and external clients and a satisfaction survey for patients with the treatment of the adverse events. The instruments also include a checklist to evaluate the safety management infrastructure (human, material and organizational resources) in the sponsoring center, a checklist to evaluate the same criterion at the investigational sites and three checklists that evaluate adherence to regulatory requirements of essential documents (investigator's brochure, protocol, and informed consent form). The content validity was evaluated by Delphi method and the reliability was determined by Cronbach α test.ResultsAll the items were valued as very adequate after the second round of the expert panel. The instruments were deemed as appropriate and understandable in the pre-test performed. All responders agreed with the options given and the accessibility of the application. Only 10% of professionals at the research sites suggested that the knowledge survey was too long. Cronbach α values between .66 and .93 were obtained.ConclusionThe structure, process, and outcome framework allowed for the characterization of drug safety management during clinical trials, providing a useful approach for the promoter to systematically measure and evaluate the process. The eight instruments were deemed as reliable, feasible and easy to be used for examining drug safety management while carrying out clinical trials.

Project description:Frontotemporal dementia refers to a group of progressive neurodegenerative syndromes usually caused by the accumulation of pathological tau or TDP-43 proteins. The effects of these proteins in the brain are complex, and each can present with several different clinical syndromes. Clinical efficacy trials of drugs targeting these proteins must use endpoints that are meaningful to all participants despite the variability in symptoms across patients. There are many candidate clinical measures, including neuropsychological scores and functional measures. Brain imaging is another potentially attractive outcome that can be precisely quantified and provides evidence of disease modification. Most imaging studies in frontotemporal dementia have been cross-sectional, and few have compared longitudinal changes in cortical volume with changes in other measures such as perfusion and white matter integrity. The current study characterized longitudinal changes in 161 patients with three frontotemporal dementia syndromes: behavioural variant frontotemporal dementia (n = 77) and the semantic (n = 45) and non-fluent (n = 39) variants of primary progressive aphasia. Visits included comprehensive neuropsychological and functional assessment, structural MRI (3 T), diffusion tensor imaging, and arterial spin labelled perfusion imaging. The goal was to identify measures that are appropriate as clinical trial outcomes for each group, as well as those that might be appropriate for trials that would include more than one of these groups. Linear mixed effects models were used to estimate changes in each measure, and to examine the correlation between imaging and clinical changes. Sample sizes were estimated based on the observed effects for theoretical clinical trials using bootstrapping techniques to provide 95% confidence intervals for these estimates. Declines in functional and neuropsychological measures, as well as frontal and temporal cortical volumes and white matter microstructure were detected in all groups. Imaging changes were statistically significantly correlated with, and explained a substantial portion of variance in, the change in most clinical measures. Perfusion and diffusion tensor imaging accounted for variation in clinical decline beyond volume alone. Sample size estimates for atrophy and diffusion imaging were comparable to clinical measures. Corpus callosal fractional anisotropy led to the lowest sample size estimates for all three syndromes. These findings provide further guidance on selection of trial endpoints for studies in frontotemporal dementia and support the use of neuroimaging, particularly structural and diffusion weighted imaging, as biomarkers. Diffusion and perfusion imaging appear to offer additional utility for explaining clinical change beyond the variance explained by volume alone, arguing for considering multimodal imaging in treatment trials.

Dataset Information

Multimodal platform for assessing drug distribution and response in clinical trials.

Background

Methods

Results

Conclusions

Publications

Multimodal platform for assessing drug distribution and response in clinical trials.

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