Melanoma Clinical Trial
Official title:
Peripheral T Cell Determinants of Response and Resistance to Pembrolizumab in Melanoma
NCT number | NCT05105100 |
Other study ID # | 21853 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | October 29, 2021 |
Est. completion date | August 28, 2026 |
This is a non-therapeutic study assessing peripheral T cell determinants of response and resistance to immunotherapy in patients with advanced melanoma.The hypothesis is that systemic T cells traffic into the tumor microenvironment (TME) can predict response and resistance to immunotherapy. These systemic tumor directed T cells can be defined by tumor/blood small conditional RNA (scRNA) using T cell receptor (TCR) as a barcode and can help predict response to PD-1 therapy.
Status | Recruiting |
Enrollment | 25 |
Est. completion date | August 28, 2026 |
Est. primary completion date | August 28, 2026 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. Patients must have histologically confirmed locally advanced or metastatic melanoma and be starting on standard of care pembrolizumab monotherapy. Patients may have received any or no prior anti-cancer therapy without limitation. 2. Must have one or more sites of disease amenable to biopsy (tumor, skin, lymph node, pleural fluid, peritoneal fluid, cerebral spinal fluid (CSF)). 3. Have measurable disease based on Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. Lesions situated in a previously irradiated area are considered measurable if progression has been demonstrated in such lesions. 4. Participants must be age 18 years or older on the day of signing informed consent. 5. Have the ability to provide written informed consent for the trial. 6. Be able and willing to comply with study procedures including provision of basic demographic information and medical history. 7. Be willing to receive periodic follow up phone calls to monitor health status and survival status. Exclusion Criteria: 1. Has received prior therapy with an anti-PD-1, anti-PD-L1, or anti PD L2 agent or with an agent directed to another stimulatory or co-inhibitory T-cell receptor (e.g., cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), OX 40, Cluster of Differentiation 137 (CD137)). 2. Has received prior systemic anti-cancer therapy including investigational agents within the prior 2 weeks. 3. Has a diagnosis of immunodeficiency or is receiving chronic systemic steroid therapy (in dosing exceeding 10 mg daily of prednisone equivalent) or any other form of immunosuppressive therapy within 7 days prior to the first dose of study drug. 4. Has a contraindication to tissue biopsy for minimally-invasive research-procedure 5. Contraindication to phlebotomy (up to 20 milliliters (mL)) per phlebotomy every three weeks). |
Country | Name | City | State |
---|---|---|---|
United States | University of California, San Francisco | San Francisco | California |
Lead Sponsor | Collaborator |
---|---|
University of California, San Francisco | Merck Sharp & Dohme LLC |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Number of genes predictive of response at Baseline | The investigators will identify the genes predictive of response to anti-PD-1 therapy by testing for significant associations across expression rates of each gene and response/resistance, within a hurdle-Gaussian mixed-effect framework that accounts for variance across patients and technical noise present in single-cell data. | Baseline | |
Primary | Number of genes predictive of response at 24 weeks | The investigators will identify the genes predictive of response to anti-PD-1 therapy by testing for significant associations across expression rates of each gene and response/resistance, within a hurdle-Gaussian mixed-effect framework that accounts for variance across patients and technical noise present in single-cell data. | 24 weeks | |
Primary | Number of T-cell sub-populations | The investigators will identify T cell sub-populations in the tumor-directed component in blood whose relative frequency is indicative of response to anti-PD-1 therapy, using a negative binomial regression model. We will test for predictive differences in relative frequencies before and after treatment initiation separately, as well as when combining both time points with appropriate interaction terms | Baseline and 24 weeks | |
Primary | Proportion of participants with a change in clonal expansion of T cells associated with response to anti-PD-1 therapy | The investigators will build a novel computational framework to identify T-cell clonal behavior associated with response to anti-PD-1 therapy using profiling of TCR sequences at single-cell resolution to compare clonal expansion in each of the sub-populations for their association with response to anti-PD-1 therapy. | 24 weeks | |
Primary | Proportion of participants with a change in distribution of T cells associated with response to anti-PD-1 therapy | The investigators will build a novel computational framework to identify T-cell clonal behavior associated with response to anti-PD-1 therapy using profiling of TCR sequences at single-cell resolution to compare distribution of T cells in each of the sub-populations for their association with response to anti-PD-1 therapy. | 24 weeks | |
Primary | Number of transcriptional migration events | The investigators will search for "transcriptional migration" events, in which T cell clones change their transcriptional profile following treatment and will assess the predictive power of such events to the success of anti-PD-1 therapy. | 24 weeks |
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