University of California, San Francisco
San Francisco, California, 94143, United States
NCT Number: NCT05105100
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 Programmed death-1 (PD-1) therapy.
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Notify Me18 year and older
All sexes
Observational
San Francisco, California, 94143, United States
Primary Objective:
To understand how the systemic immune profile (T cell activation and expansion in TME) changes in response to pembrolizumab therapy in patients with advanced melanoma on pembrolizumab monotherapy.
Exploratory Objectives :
I. To correlate the peripheral T cell profiles with the objective response rate (ORR) at 24 weeks in patients with advanced melanoma on pembrolizumab monotherapy.
II. To correlate the peripheral T cell profiles with progression free survival (PFS) in patients with advanced melanoma on pembrolizumab monotherapy.
III. To correlate the peripheral T cell profiles with overall survival (OS) in patients with advanced melanoma on pembrolizumab monotherapy.
IV. To correlate the peripheral T cell profiles with toxicity profile.
V. Transcriptional and phenotypic features of tumor directed T cells in blood using a combination of phenotypic markers derived from COMET and cite-seq.
Outline:
Participants will have blood drawn and tumor biopsied. Participants will be followed for 6 months from time of treatment initiation. After 6 months, participants do not need to be followed but standard of care scans and survival status can be assessed for up to 5 years.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Tumor tissue collection
Other names: Excisional Biopsy
Intravenously Blood draw
Other names: Specimen Collection
Time frame: At Baseline, 1 day
The investigators will identify the genes predictive of response to anti-programmed death-1(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. The overall number of genes predictive of response at baseline will be reported.
Time frame: 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. The overall number of genes predictive of response at week 24 will be reported.
Time frame: Up to 24 weeks
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. The overall number of t-cell sub-populations will be reported.
Time frame: Up to 24 weeks
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 T-Cell Receptor (TCR) sequences at single-cell resolution to compare clonal expansion in each of the sub-population's association with response to anti-PD-1 therapy. The proportion of participants with a change in clonal expansion of T-cells associated with a response to anti-PD-1 therapy will be reported.
Time frame: Up to 24 weeks
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. The proportion of participants with a change in distribution of T cells associated with response to anti-PD-1 therapy will be reported.
Time frame: Up to 24 weeks
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. The overall number of transcriptional migration events will be reported.
University of California, San Francisco
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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