This pilot phase I trial studies how well itacitinib works in treating patients with sarcomas that do not respond to treatment (refractory) and have spread to other parts of the body (advanced/metastatic). Itacitinib may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth.
OUTLINE: Patients receive itacitinib orally (PO) once daily (QD) on days 1-28. Cycles repeat every 28 days in the absence of disease progression or unacceptable toxicity. After completion of study treatment, patients are followed up at 7 and 30 days, every 12 weeks from baseline for up to 1 year, and then every 6 months thereafter.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
27
Given PO
Correlative studies
Fred Hutch/University of Washington Cancer Consortium
Seattle, Washington, United States
Difference in the percentage of cells which are immune inhibitory (CD11B+, CD163+) macrophages from pre-treatment to first post-treatment biopsy
Evaluation of the change in percentages of cells against the null hypothesis of no difference will be performed using a 1-sided t-test at the 0.05 level.
Time frame: From baseline to 2 years
Incidence of adverse events
Will be graded according to Common Terminology Criteria for Adverse Events version 5.0. The frequency and severity of toxicities will be evaluated by proportions and associated 95% confidence intervals.
Time frame: Up to 2 years
Progression-free survival rate
Assessed by Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. Distributions and percentages at landmark times for time to event outcomes will be estimated using the method of Kaplan-Meier. Confidence intervals about medians will be estimated using the method of Brookmeyer-Crowley. With 12 LMS patients, binary proportions can be estimated to within 29% with 95% confidence. With 8 (SS or MRCL) and PUS, respectively, binary proportions can be estimated to within 36% with 95% confidence.
Time frame: At 6 months
Median overall survival
Distributions and percentages at landmark times for time to event outcomes will be estimated using the method of Kaplan-Meier. Confidence intervals about medians will be estimated using the method of Brookmeyer-Crowley. With 12 LMS patients, binary proportions can be estimated to within 29% with 95% confidence. With 8 (SS or MRCL) and PUS, respectively, binary proportions can be estimated to within 36% with 95% confidence.
Time frame: At 12 months
Clinical benefit rate (complete response [CR]+ partial response [PR]+stable disease [SD])
CR and PR will be defined as per RECIST 1.1 Distributions and percentages at landmark times for time to event outcomes will be estimated using the method of Kaplan-Meier. Confidence intervals about medians will be estimated using the method of Brookmeyer-Crowley. With 12 LMS patients, binary proportions can be estimated to within 29% with 95% confidence. With 8 (SS or MRCL) and PUS, respectively, binary proportions can be estimated to within 36% with 95% confidence.
Time frame: At 12 weeks
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