Testing the Addition of Radiation Therapy to the Usual Immune Therapy Treatment (Atezolizumab) for Extensive Stage Small Cell Lung Cancer, The RAPTOR Trial
Reason for stopping the trial:
Scheduled Interim Monitoring
Scheduled Interim Monitoring
This phase II/III trial compares the effect of adding radiation therapy to the usual maintenance therapy with atezolizumab versus atezolizumab alone in patients who have already received atezolizumab plus chemotherapy for the treatment of small cell lung cancer that has spread outside of the lung or to other parts of the body (extensive stage). Immunotherapy with monoclonal antibodies, such as atezolizumab, may help the body's immune system attack the cancer, and may interfere with the ability of tumor cells to grow and spread. Radiation therapy uses high energy x-rays to kill tumor cells and shrink tumors. Giving radiation therapy in addition to atezolizumab may extend the time without extensive small cell lung cancer growing or spreading compared to atezolizumab alone.
Any confirmation (cytologic, histologic, or pathologic) of extensive stage small cell lung cancer at any site, either primary or metastases
Partial response (PR) or stable disease (SD) after 4-6 cycles of etoposide/platinum (E/P) doublet plus atezolizumab by re-staging scans (positron emission tomography [PET]/computed tomography [CT] scan, diagnostic CT scan, magnetic resonance imaging [MRI] optional per treating physician); atezolizumab should continue through randomization. Patients must be randomized within 9 weeks of last dose of etoposide/platinum (if not receiving PCI) or 6 weeks from completion of prophylactic cranial irradiation (PCI)
NOTE: Patients must have at least 3 cycles of E/P plus atezolizumab. They can have one cycle of induction E/P without concurrent atezolizumab if unable to receive concurrent E/P combined with atezolizumab for all cycles of induction therapy
Patients must have measurable disease (per Response Evaluation Criteria in Solid Tumors [RECIST]) and 3 or fewer observable liver metastases and no evidence of progressive disease (per RECIST) at time of enrollment
Metastatic disease invading the liver (> 3 metastases), heart or > 10 metastatic sites detectable after induction systemic therapy. Each visible bone metastasis on radiographic scan counts as one site
Patients with a concurrent malignancy whose natural history or treatment has the potential to interfere with the safety or efficacy assessment of the investigational regimen with atezolizumab or radiation
Prior radiotherapy in the thorax that would result in overlapping RT fields, unless the overlapping fields meet acceptable dose constraints for normal tissue
Active autoimmune disease, including, but not limited to: systemic lupus erythematosus; rheumatoid arthritis; inflammatory bowel disease (e.g. Crohn's, ulcerative colitis); vascular thrombosis associated with antiphospholipid syndrome; Wegener's granulomatosis; Sjogren's syndrome; Guillain-Barre syndrome; multiple sclerosis; vasculitis; or glomerulonephritis.
Parallel
Atezolizumab
DrugGiven IV
Biospecimen Collection
Procedure/SurgeryUndergo blood and tissue collection
Computed Tomography
Procedure/SurgeryUndergo CT
Magnetic Resonance Imaging
Procedure/SurgeryUndergo MRI
Positron Emission Tomography
Procedure/SurgeryUndergo PET
Radiation Therapy
RadiationUndergo radiation therapy
Progression-free survival (PFS) (Phase II)
Will compare the distributions of PFS between treatment arms using a one-sided stratified log-rank test in all randomized eligible patients. The rates at various timepoints (e.g., every 6 months after randomization) and medians of PFS for each arm will be estimated using the Kaplan-Meier method. The associated 95% confidence interval (CI) will be calculated using Greenwood's formula and based on a log-log transformation applied on the survival function. Results from an unstratified analysis will also be provided.
Overall survival (OS) (Phase III)
Will compare arm I to arm 2 based on OS using a stratified log-rank test. Hazard ratios will be estimated using a stratified Cox regression model. Event rates over time will be estimated within each treatment group using the Kaplan-Meier method.
Incidence of adverse events
For each patient, the maximum severity reported for both immune mediated and non-immune mediated adverse events will be used in the summaries. Adverse events will be summarized regardless of relationship to protocol treatment as assessed by the investigator. All adverse events, adverse events leading to withdrawal, interruption or modification of protocol treatment, grade \>= 3 adverse events, and serious adverse events will be summarized. Deaths and cause of death will be summarized. The rate of treatment-related adverse events using National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE, version \[v.\]5.0) will be reported with the frequency and severity (e.g., type, grade, and attribution) by arm, the analysis will be performed at the time of both phase II and phase III (if applicable) primary endpoint analyses. All adverse events will be classified as either immune or non-immune mediated.
PFS (Phase III)
Assessed per Response Evaluation Criteria in Solid Tumors (RECIST). Will compare the distributions of PFS between treatment arms using a one-sided stratified log-rank test in all randomized eligible patients at 0.025 level. The rates at various timepoints (e.g., every 6 months after randomization) and medians of PFS for each arm will be estimated using the Kaplan-Meier method. The associated 95% CI will be calculated using Greenwood's formula and based on a log-log transformation applied on the survival function. If one stratum has less than 10 events, the stratification factor which contains the level with the smallest number of patients will be removed from the stratified analyses.
PFS in patients with 1-3 distinct visible tumors and > 3 distinct visible tumors
Will be similarly summarized and compared between experimental and control. The interaction between the treatment groups and tumor number groups will also be explored in Cox regression model.
OS in patients with 1-3 distinct visible tumors and > 3 distinct visible tumors
Will be similarly summarized and compared between experimental and control. The interaction between the treatment groups and tumor number groups will also be explored in Cox regression model.
Tumor burden
Tumor burden determined by central radiographic assessment, using both tumor number and tumor volume will be associated with PFS and OS benefit. The PFS and OS will be similarly summarized and compared between experimental and control in the following subgroups: 1) high or low tumor burden, using \>= 4, 5, or 6 metastases as a cutoff; 2) high or low tumor burden, using the median of centrally reviewed radiographic tumor volume as a cutoff.
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National Cancer Institute (NCI)
Lead sponsor
NRG Oncology
Collaborator
This trial is not recruiting at the moment. You can still explore other options: