Pembrolizumab in Treating Patients With Malignant Mesothelioma
|ClinicalTrials.gov Identifier: NCT02399371|
Recruitment Status : Active, not recruiting
First Posted : March 26, 2015
Last Update Posted : March 5, 2018
|Condition or disease||Intervention/treatment||Phase|
|Biphasic Mesothelioma Epithelioid Mesothelioma Peritoneal Malignant Mesothelioma Pleural Biphasic Mesothelioma Pleural Epithelioid Mesothelioma Pleural Malignant Mesothelioma Pleural Sarcomatoid Mesothelioma Recurrent Peritoneal Malignant Mesothelioma Recurrent Pleural Malignant Mesothelioma Sarcomatoid Mesothelioma||Biological: Pembrolizumab Other: Laboratory Biomarker Analysis Other: Pharmacogenomic Study||Phase 2|
Show Detailed Description
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||65 participants|
|Intervention Model:||Single Group Assignment|
|Masking:||None (Open Label)|
|Official Title:||A Phase II Study of the Anti-PD-1 Antibody Pembrolizumab in Patients With Malignant Mesothelioma|
|Actual Study Start Date :||March 31, 2015|
|Estimated Primary Completion Date :||March 2020|
|Estimated Study Completion Date :||March 2020|
Experimental: Treatment (pembrolizumab)
Patients receive pembrolizumab IV over 30 minutes on day 1. Treatment repeats every 21 days for up to 24 months in the absence of disease progression or unacceptable toxicity. Patients may be eligible for up to 1 year of additional pembrolizumab therapy if they progress after stopping pembrolizumab.
Other: Laboratory Biomarker Analysis
Other: Pharmacogenomic Study
- Ability of PD-L1 to predict response [ Time Frame: Up to 3 years ]Based on the results from Part A, the Youden Index methodology will be used to determine the optimal threshold for PD-L1 expression in correlation with tumor response, and if a correlation is identified this threshold will be used for Part B. The overall ability of PD-L1 to predict response will be assessed using the area under the receiver operating characteristic curve (area under the curve). If the area is significantly greater than 0.5, part B will begin using the optimum cutpoint as determined from the Youden index.
- Overall survival (OS) [ Time Frame: Up to 3 years ]Kaplan-Meier curves will be generated for OS. Median OS will be estimated along with 90% confidence intervals using the method of Brookmeyer and Crowley.
- Progression free survival (PFS) [ Time Frame: Time from enrollment until disease progression or death from any cause, assessed up to 3 years ]Kaplan-Meier curves will be generated for PFS. Median PFS will be estimated along with 90% confidence intervals using the method of Brookmeyer and Crowley.
- Disease control rate (CR + PR + SD) [ Time Frame: Up to 3 years ]The disease control rate (CR+PR+SD) and 90% confidence interval will also be determined.
- CD8 TILs will be assessed by percentage of tumor showing infiltration [ Time Frame: Baseline ]CD8 levels will be correlated with PD-L1 expression using Pearson or Spearman rank correlation coefficients.
- Composite measure of other immune escape mechanisms including MDSCs and other checkpoints [ Time Frame: Up to 3 years ]Other immune escape mechanisms including MDSCs and other checkpoints will be assessed by immunohistochemistry (0 - 3+) or flow cytometry counting the number and percentage of positive cells. Levels will be correlated with PD-L1 expression and other biomarkers.
- PD-L1 expression by mass spectrometry [ Time Frame: Baseline ]PD-L1 expression by mass spectrometry and correlation with PD-L1 expression by IHC as well as tumor response, and the T-cell inflamed phenotype will be performed. Multivariate logistic regression will be performed to determine whether these biomarkers or combinations of biomarkers are predictive of response. Exact logistic regression models will be fit given the small number of responders expected (4 from part A and 7-8 from part B).
- Mass spectrometry-based flow cytometric analysis [ Time Frame: Up to 3 years ]Mass spectrometry-based flow cytometric analysis (CyTOF) will be descriptive based on number and percentage of certain cell populations.
- Analysis of T-cell receptor repertoire from TILs [ Time Frame: Up to 3 years ]Analysis of T-cell receptor repertoire from TILs will be descriptive looking for presence or absence of oligoclonal T-cell population.
- Duration of response [ Time Frame: Up to 3 years ]Will be estimated by Kaplan-Meier.
- Incidence of toxicities graded according to the National Cancer Institute Common Terminology Criteria for Adverse Events version 4.0 [ Time Frame: Up to 30 days after completion of study treatment ]Toxicities will be summarized in tabular form by type and severity and incidence rates generated.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02399371
|United States, Illinois|
|University of Chicago|
|Chicago, Illinois, United States, 60637|
|Principal Investigator:||Hedy Kindler||University of Chicago|