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This study evaluates whether optimization of ancillary therapies can improve the efficacy of immune checkpoint therapy in participants with solid tumors. The ancillary therapies being optimized include the avoidance of daily acetaminophen and cannabis/THC/CBD while prescribing aspirin and loratadine. The goal is to see if optimizing these four drugs can improve the efficacy of the treatment compared to a matched historical control.
There are multiple reports of ancillary drugs impacting the efficacy of immune checkpoint inhibitor therapy. However, there are no prospective studies evaluating the potential benefit of optimizing multiple ancillary therapies in a prospective study. To address this gap in knowledge the approach is to compare two groups; the first group is a prospective interventional population consisting of 98 solid tumor patients who have radiologically measurable cancer which are scheduled to receive immunotherapy as part of the participant's cancer treatment. Enrolled patients will be asked to avoid daily acetaminophen and the use of cannabis/THC/CBD. The participants will also be prescribed aspirin 162 mg (2 x 81 mg baby aspirin) and loratadine 10 mg to be taken once daily for 126 days. Collectively, optimizing these 4 drugs is called the OAT protocol. Once the prospective patient enrollment is complete, a historical control will be created to match patients based on their cancer, the treatment regimen, line of therapy, performance status, and age. The control group will not have received the OAT protocol optimization. The primary endpoint of the trial will be response rate at 18 weeks. Other efficacy endpoints include progression free survival and overall survival at 12 months. Safety and toxicity endpoints include those associated with aspirin and loratadine as well as the rate of immune-related adverse events. The study will also capture drug discontinuation, including ICI therapy as a measure of toxicity. Lastly, the study will explore the efficacy of the OAT protocol in different populations based on disease, smoking status, genetics, and cytokines. The hypothesis is that optimizing these therapies will increase response rates by at least 15% compared to the controls.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| OAT ICI | Experimental | Participants with solid tumors receiving standard-of-care immune checkpoint inhibitor therapy will follow the OAT ICI protocol, which includes use of loratadine and aspirin (or continuation of an equivalent antihistamine/NSAID), avoidance of acetaminophen, and avoidance of THC-containing products. |
|
| Matched Historical Control | No Intervention | Retrospective matched controls identified from UK Healthcare EHR and Kentucky Cancer Registry data. Controls will be matched to enrolled participants by tumor type, disease stage, treatment regimen, line therapy, age group and ECOG performance status. Historical controls will not receive the OAT ICI protocol. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Asprin | Drug | Participants will receive Aspirin or continue an equivalent NSAID as part of the OAT ICI protocol while receiving standard-of-care immune checkpoint inhibitor therapy. |
| Measure | Description | Time Frame |
|---|---|---|
| 18- Week Response Rate | To determine whether the OAT protocol improves therapeutic response to immune checkpoint inhibitor-containing regimens compared with matched historical controls, as measured by 18-week response rate. | 18 Weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Progression-Free Survival by Disease Cohort | Progression-free survival among participants with lung cancer, head and neck cancer, bladder cancer, melanoma, and renal cell carcinoma compared with matched historical controls. | 12 Months |
| Response Rate by Disease Cohort |
| Measure | Description | Time Frame |
|---|---|---|
| Changes in Immune Cell Populations | T-cell subsets (including regulatory T cells [Tregs] and T-helper 17 [Th17] cells, monocytes, neutrophils at baseline, 9 and 18 weeks. Associations between baseline values and changes over time with response rate will be evaluated. | Baseline, 9 Weeks and 18 Weeks |
| Changes in Cytokine Profile |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Val Adams | Contact | 8592575202 | val.adams@uky.edu |
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| ID | Term |
|---|---|
| C010395 | acetylsalicylic acid lysinate |
| D017336 | Loratadine |
| ID | Term |
|---|---|
| D003533 | Cyproheptadine |
| D003986 | Dibenzocycloheptenes |
| D001567 | Benzocycloheptenes |
| D011084 | Polycyclic Aromatic Hydrocarbons |
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| Loratadine | Drug | Participants will receive Loratadine or continue an equivalent antihistamine as part of the OAT ICI protocol while receiving standard-of-care immune checkpoint inhibitor therapy. |
|
| Acetaminophen Avoidance | Behavioral | Participants will be instructed to avoid acetaminophen-containing products during immune checkpoint inhibitor therapy as part of the OAT ICI protocol. |
|
| THC Avoidance | Behavioral | Participants will be instructed to avoid THC-containing products during immune checkpoint inhibitor therapy as part of the OAT ICI protocol. |
|
Response rate (RECIST) at 18 weeks among participants with lung cancer, head and neck cancer, bladder cancer, melanoma, and renal cell carcinoma compared with matched historical controls |
| 18 Weeks |
| Overall Survival | Overall survival at 12 months among participants receiving the OAT ICI protocol compared with matched historical controls. | 12 Months |
Cytokine profiles, including inerleukin-10 (IL-10) and histamine concentrations, measured at baseline, 9 and 18 weeks. Associations between baseline values and changes over time with response rate will be evaluated.s. |
| Baseline, 9 Weeks and 18 Weeks |
| Response Rate by Tumor Histology | Response rate stratified by tumor histology including adenocarcinoma, squamous cell carcinoma, and other histologic subtypes. | 18 Weeks |
| Response Rate by Smoking Status and Genetic Profile | Association of response rate with smoking status and genetic factors, including tumor mutational burden (TMB) and programmed death-ligand 1 (PD-L1) expression levels, using genetic data obtained from standard of care next-generation sequencing. | 18 Weeks |
| Response Rate by Concurrent Ancillary Therapies | Association between response rate and use of other ancillary therapies that may affect immune checkpoint inhibitor effectiveness, including vaccines, proton pump inhibitors (PPIs), antibiotics and other concomitant treatments. | 18 Weeks |
| D006841 | Hydrocarbons, Aromatic |
| D006844 | Hydrocarbons, Cyclic |
| D006838 | Hydrocarbons |
| D009930 | Organic Chemicals |
| D010880 | Piperidines |
| D006573 | Heterocyclic Compounds, 1-Ring |
| D006571 | Heterocyclic Compounds |
| D011083 | Polycyclic Compounds |