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Immune checkpoint inhibitors (ICIs) (also called "immunotherapy") are an effective family of anti-cancer drugs, but they can cause serious side effects. Some evidence suggests these side effects might happen because ICIs interact with other drugs that you may already be taking, making those drugs work differently, or causing more side effects. The purpose of this study is to see whether ICIs impact how the liver processes other drugs. To do this, participants will be given a probe cocktail of 7 different FDA-approved drugs that are processed in different ways in the liver.
Findings suggest that adverse events during checkpoint inhibitor therapy may, in part, be caused by drug-drug interactions that increase the risk of adverse events with co-administered medications. Identifying these novel drug-drug interactions will likely inform clinical strategies to reduce adverse events during checkpoint inhibitor therapy and enhance their clinical benefits.
This current research aims to systematically explore the impact of ICIs on CYP/transporter function and the associated risks for adverse events, thereby informing clinical strategies to mitigate these risks and optimize the therapeutic benefits of checkpoint inhibitors. By employing a rigorous crossover drug-drug interaction design, this study seeks to enhance understanding of drug interactions during ICI therapy, ultimately improving patient outcomes in oncology.
The long-term goal of this research is to find ways to manage adverse events that occur during treatment with ICIs. The research has two main aims:
A two-phase clinical study will be conducted to achieve these aims: patients will be given seven different probe drugs that interact with key enzymes and transporters (CYP1A2, CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP3A, BCRP, and SLCO1B1) both before they start ICI treatment and after they have begun therapy.
Adverse events will be assessed by looking at how changes in the function of these enzymes and transporters affect the metabolism of drugs that cancer patients commonly use. Special computer models, known as physiologically-based pharmacokinetic (PBPK) models, will be used to simulate how these drugs behave in the body and predict potential serious adverse events.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort 1 | Experimental | CYP enzyme/drug transporter probe substrates administered at two study visits: one before initiation of ICI therapy and one while on therapy. |
|
| Cohort 2 | Experimental | CYP enzyme/drug transporter probe substrates administered at one study visit: during ICI therapy. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ICI Therapy | Drug | Low dose of a cocktail of probe substrates for eight major CYP enzymes/drug transporters. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change in plasma concentrations from drug exposure during ICI therapy | baseline (before start of ICI therapy) up to day 84 | |
| Toxicity concentrations for CYP/transporter substrate drugs in plasma | baseline (day before Cycle 1 start) up to day 84 | |
| Associations between pro-inflammatory cytokine concentrations and CYP/transporter probe drug concentrations in plasma | baseline (day before Cycle 1 start) up to day 84 |
| Measure | Description | Time Frame |
|---|---|---|
| Assess associations between T cells populations and CYP/transporter probe drug concentrations | Peripheral blood mononuclear cells (PBMCs) | baseline (day before Cycle 1 start) up to day 84 |
| Concentrations of endogenous biomarkers |
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Inclusion Criteria:
Exclusion Criteria:
Actively pregnant or breastfeeding
Body weight less than 50 kg or a BMI >35
Low baseline hemoglobin, defined as <10 g/dL
Past medical history of chronic liver disease, signs and symptom of liver disease (e.g., jaundice, ascites), or aspartate aminotransferase >96 U/L, alanine aminotransferase > 80 IU/L, alkaline phosphatase >260 U/L, or total bilirubin > 2.6 mg/dL
Past medical history of chronic kidney disease, signs and symptom of kidney disease (e.g., decreased urine output, swelling in feet and ankles), or estimated glomerular filtration rate <45 mL/minute/1.73 m2 BSA
Poor performance status that makes it unlikely the patient will complete 3 cycles of immune checkpoint inhibitor (at the treating oncologist's discretion)
Diagnosis or past medical history of autoimmune disorder, including systemic lupus erythematosus, Crohn's disease, Sjogren's syndrome, multiple sclerosis, type 1 diabetes mellitus, Behcet's disease, and ankylosing spondylitis
History of intolerance, allergic reaction, or hypersensitivity to any of the study drugs (tizanidine, bupropion, flurbiprofen, omeprazole, dextromethorphan, midazolam, rosuvastatin)
Current infection requiring medical treatment (note: if a prospective patient's infection resolves, they can be re-screened for trial inclusion)
Concomitant treatment with systemic immunosuppressant drugs (see Appendix 3 for list)
Concomitant treatment with a CYP/transporter probe cocktail drug or strong inhibitors, inducers, or agents that affect the pharmacokinetics of the relevant CYP enzymes or drug transporters (see Appendix 4 for list)
Are unwilling/unable to avoid drugs of abuse, tobacco products or marijuana, or consuming more than 2 alcoholic drinks per day during the study
Inability to take oral medication
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ross Robinson | Contact | 317-381-1426 | rossrobi@iu.edu |
| Name | Affiliation | Role |
|---|---|---|
| Tyler Shugg, MD | IUSCCC | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Indiana University Melvin and Bren Simon Comprehensive Cancer Center | Indianapolis | Indiana | 46202 | United States |
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| ID | Term |
|---|---|
| D005770 | Gastrointestinal Neoplasms |
| D014565 | Urogenital Neoplasms |
| D012509 | Sarcoma |
| D008545 | Melanoma |
| ID | Term |
|---|---|
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
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Plasma or urine
| baseline (day before Cycle 1 start) up to day 84 |
| CYP/transporter endogenous biomarker concentrations | Plasma or urine correlated with plasma concentrations of pro-inflammatory cytokines | baseline (day before Cycle 1 start) up to day 84 |
| Correlation of concentration of population of activated T cells and CYP/transporter endogenous biomarkers | Plasma or urine | baseline (day before Cycle 1 start) up to day 84 |
| CYP/transporter substrate-related adverse events and immune related (ir) adverse events | assessed through surveys given to participants | Baseline (before starting ICI cycle 1) and study visit 2 (up to day 84) |
| D005767 |
| Gastrointestinal Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D018204 | Neoplasms, Connective and Soft Tissue |
| D009370 | Neoplasms by Histologic Type |
| D018358 | Neuroendocrine Tumors |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009380 | Neoplasms, Nerve Tissue |
| D018326 | Nevi and Melanomas |
| D012878 | Skin Neoplasms |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |