About this trial
This phase II trial studies how well acalabrutinib, lenalidomide, and rituximab work in treating patients with CD20 positive stage III-IV, grade 1-3a follicular lymphoma. Acalabrutinib may stop the growth of cancer cells by blocking some of the enzymes needed for cell growth. Drugs used in chemotherapy, such as lenalidomide, work in different ways to stop the growth of tumor cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. Rituximab is a monoclonal antibody that may interfere with the ability of cancer cells to grow and spread. Giving acalabrutinib, lenalidomide, and rituximab may help to control the disease.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Histologically confirmed CD20 positive (+) follicular lymphoma, grade 1, 2, or 3a
Have had no prior systemic treatment for lymphoma
Bi-dimensionally measurable disease, with at least one mass lesion >= 2 cm in longest diameter by computed tomography (CT), positron emission tomography (PET)/CT, and/or magnetic resonance imaging (MRI)
Meeting Groupe d'Etude des Lymphomes Folliculaires (GELF) criteria for initiation of treatment
Disqualifiers
Known active central nervous system lymphoma or leptomeningeal disease, except subjects with a history of central nervous system lymphoma treated and in remission > 6 months
Evidence of diffuse large B-cell transformation
Grade 3b FL
Adequately treated non-melanoma skin cancer or lentigo maligna without evidence of disease
Trial design
Single group
Treatments tested in this trial
Acalabrutinib
DrugGiven PO
Lenalidomide
DrugGiven PO
Rituximab
Biological/VaccineGiven IV
Treatment groups
Trial outcomes
Primary outcomes
Complete remission rate
Will be based on Cheson, Lugano classification 2014. The number and percentage of subjects with a complete remission at the end of treatment will be tabulated.
Secondary outcomes
Overall response rate (complete response + partial response)
Will be based on Cheson, Lugano classification 2014. The number and percentage of subjects with an overall response rate will be tabulated. The best overall response rate will be recorded.
Duration of response
Will be based on Cheson, Lugano classification 2014. Cox proportional hazards models will be used to assess the effects of patient prognostic factors on duration of response. Kaplan-Meier methodology will be used to estimate event-free curves, median, and 95% confidence interval.
Progression-free survival within 24 months from treatment initiation
Will be estimated by the Kaplan-Meier method. Corresponding 95% confidence intervals will be summarized. Cox proportional hazards models will be used to assess the effects of patient prognostic factors on progression-free survival.
Progression-free survival
Kaplan-Meier methodology will be used to estimate event-free curves, median, and 95% confidence interval. Cox proportional hazards models will be used to assess the effects of patient prognostic factors on progression-free survival.
Other outcomes
Alteration in immune cell subsets
Will assess whole exome sequencing (WES) of the tissue microenvironment to determine alteration in immune cell subsets. The association between somatic mutations and duration of response will be determined using Cox regression.
Alteration in immune cell subsets
Will assess ribonucleic acid sequencing of tissue microenvironment to determine alteration in immune cell subsets. The frequencies of tumor infiltrating immune cells will be inferred, and their abundance correlated with duration of response.
Cell free circulating deoxyribonucleic acid (DNA)
Will assess cell-free circulating DNA and association with response to therapy. The dynamics of response (i.e. rate of decline of tumor-derived somatic mutations) and ability to achieve negativity of molecular residual disease will be correlated with the duration of response.
Sponsors and contacts
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M.D. Anderson Cancer Center
Lead sponsor
National Cancer Institute (NCI)
Collaborator