Immunotherapy is a specific approach to treating cancer that has shown promise in adult patients for the treatment of melanoma, malignant brain tumors, and other cancers. The study investigators will use the experience they have gained from these studies to try to improve the outcome for children affected by a recurrent brain tumor. Approximately 35 patients with first recurrence of medulloblastoma (reMB)/supratentorial primitive neuroectodermal tumors (PNETs) will be treated with tumor-specific immune cells and dendritic cell vaccines to see what impact they have on the tumor.
Malignant brain tumors now represent the most frequent cause of cancer death in children. Despite aggressive and highly toxic multi-modality therapy including surgery, craniospinal radiation, and high-dose chemotherapy coupled with peripheral blood stem cell transplantation, almost half the children diagnosed with the most common malignant brain tumors, medulloblastoma (MB) and primitive neuroectodermal tumors (PNET), will still die from recurrent disease. Furthermore, survivors are often left with severe and lifelong treatment-associated cognitive and motor deficits. The development of more effective and tumor-specific therapies that will not add further toxicity to existing treatments is paramount in improving clinical outcomes for children affected by MB/PNETs. Immunotherapy targeting tumor-specific antigens expressed within brain tumors is a modality potentially capable of meeting this clear and urgent need. Despite considerable advancements and promising clinical results observed in immunotherapy trials directed against adult malignant brain tumors, efforts in the immunologic treatment of pediatric brain tumors have been limited to relatively few notable studies. This is due, at least in part, to the often limited viable tumor tissue available for tumor cell-based vaccine preparations, and the lack of identification of consistently expressed tumor-specific antigens within these cancers. The use of total tumor RNA (TTRNA)-loaded dendritic cells (DCs) was pioneered at Duke University, as a novel platform for inducing potent immunologic responses against the variety of uncharacterized and patient-specific antigens present within malignant tumor cells. Duke demonstrated that sufficient RNA for clinical vaccine preparations can be amplified with high fidelity using existing molecular technologies from as few as 500 isolated pediatric and adult brain tumor cells, thus allowing vaccine preparation from surgical biopsies and even microdissected archival tumor specimens. Immunotherapy administered during recovery from chemotherapy may have tremendous advantages, as adoptive cellular therapy following lymphodepletive conditioning regimens has emerged as the most effective treatment strategy for advanced and refractory melanoma. Our hypothesis is that DC + ex vivo expanded Autologous Lymphocyte Transfer (xALT) therapy targeting recurrent MB/PNETs during recovery from myeloablative chemotherapy will be safe and will prolong survival in children and young adults with recurrent MB/PNETs. In this study, the investigators will treat patients with first recurrence reMB/PNETs after completion of definitive radiation therapy with autologous tumor-specific T cell immunotherapy (TTRNA-xALT) plus TTRNA-loaded dendritic cell vaccine. Following surgical resection, biopsy, or cytology examination with confirmatory pathologic diagnosis, patients will be enrolled into Group A (high-dose chemotherapy or HDC) or Group B (non-myeloablative or NMA salvage chemotherapy) based on eligibility for HDC. Patients with localized relapse and have not failed HDC+ peripheral blood stem cell transplant (PBSCT) previously will be enrolled into Group A. Patients with disseminated disease, have previously failed HDC+PBSCT, or are otherwise considered poor candidates for HDC based on overall health status, but otherwise meet eligibility criteria, will be enrolled into Group B. All patients will receive DC + xALT therapy.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
26
TTRNA-xALT 3 x 10\^7/kg by intravenous injection once.
TTRNA-DCs 1 x 10\^7 by intradermal injection every 2 weeks for 3 total doses.
Children's Hospital Los Angeles
Los Angeles, California, United States
Children's National Medical Center
Washington D.C., District of Columbia, United States
University of Florida
Gainesville, Florida, United States
12 Month Progression-free Survival (PFS-12)
PFS-12 is the number of participants (%) with PFS at 12 months. PFS is defined as time interval from date of first DC vaccine to date of progression (death is also treated as progression) or censoring, whichever happens first. The PFS-12 of Historical Benchmark is 33%. The granular PFS of Historical Bechmark is 4,16, 5, 12, 14, 7, 5, 5, 12, 9, 24 and 13 months (Gururangan et al,. Neuro Oncol. 2008, Table 3)
Time frame: up to 12 months
Objective Radiographic Response Rate
Objective Response Rate (ORR), defined as the proportion of subjects who show partial or complete response (CR+PR) to therapy, SD (stable disease), and PD (progressive disease) or not assessable, using RECIST criteria based on their best overall response over 8 weeks when comparing pre-ACT vs. post-ACT MRI.
Time frame: Baseline MRI (prior to Adoptive Cellular Therapy (ACT)) compared to post-ACT MRI (approximately 8 weeks post-baseline MRI)
Change in Cytokine Profile for IFNg
We will measure serum cytokines in peripheral blood pre and post ACT therapy for patients in Arm A and Arm B. We will compare baseline (pre-ACT) to post treatment (both TTRNA-xALT and TTRNA-DCs vaccines administered) changes for each arm. Longitudinal difference baseline to Day 14 and 28 with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Overall Survival (OS) Rate
12-month OS calculated based on benchmark. OS-12 is the proportion of participants with OS at 12 months.
Time frame: baseline up to 12 months
Change in Type 1 Interferon
We will measure change in cellular immunity in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to Day 28 (including Day 14) with each patient. OS Univariable Cox Regression with Change in Cellular Immunity was applied. The Hazard Ratio with 95% CI reported.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Type 2 Interferon
We will measure change in cellular immunity in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to Day 28 (including Day 14) with each patient. OS Univariable Cox Regression with Change in Cellular Immunity was applied. The Hazard Ratio with 95% CI reported.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Percentage of CD8 Naive T Cells in PBMC
We will measure change in lymphocyte phenotype in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline (pre-treatment) to 28 days with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Cytokine Profile for IL10
We will measure serum cytokines in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to Day 14 and 28 with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Cytokine Profile for IL12p70
We will measure serum cytokines in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to Day 14 and 28 with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Cytokine Profile for IL2
We will measure serum cytokines in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to Day 14 and 28 with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Cytokine Profile for IL4
We will measure serum cytokines in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to Day 14 and 28 with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Cytokine Profile for IL6
We will measure serum cytokines in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to Day 14 and 28 with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Cytokine Profile for TNFa
We will measure serum cytokines in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to Day 14 and 28 with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in TLR Activation Status
We will measure change in TLR activation status in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to Day 14 and 28 with each patient serving as own control using mixed linear effect model. We quantified pathway activity using GSVA applied to normalized RNA-seq expression data. The enrichment score for each sample was defined as the maximum deviation from zero of this running sum, yielding a dimensionless GSVA score that represents the relative coordinated up- or down-regulation of TLR pathway genes within that sample compared to the background transcriptome. Higher GSVA score represents upregulation and lower GSVA score represents downregulation. There is no clinical relevance threshold.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Percentage of CD8 Memory T Cells in PBMC
We will measure change in lymphocyte phenotype in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to 28 days with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Percentage of CD4 Naive T Cells in PBMC
We will measure change in lymphocyte phenotype in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to 28 days with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Percentage of CD4 Memory T Cells in PBMC
We will measure change in lymphocyte phenotype in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to 28 days with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Percentage of Treg T Cells in PBMC
We will measure change in lymphocyte phenotype in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to 28 days with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
Change in Percentage of NK Cells in PBMC
We will measure change in lymphocyte phenotype in peripheral blood pre and post therapy for patients in Arm A and Arm B. We will compare baseline to post treatment changes for each arm. Longitudinal difference baseline to 28 days with each patient serving as own control using mixed linear effect model.
Time frame: baseline prior to immunotherapy to 28 days post-vaccine #1 (both TTRNA-xALT and TTRNA-DCs vaccines administered)
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