Peripheral T Cell Determinants of Response and Resistance to Pembrolizumab in Melanoma

March 16, 2026 updated by: University of California, San Francisco
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.

Study Overview

Status

Completed

Detailed Description

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.

Study Type

Observational

Enrollment (Actual)

25

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • San Francisco, California, United States, 94143
        • University of California, San Francisco

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Participants will be recruited from the Melanoma and Cutaneous Oncology Program at the Helen Diller Family Comprehensive Cancer Center at University of California San Francisco.

Description

Inclusion Criteria:

  1. Participants must have histologically confirmed locally advanced or metastatic melanoma and be starting on standard of care pembrolizumab monotherapy. Participants 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 40 milliliters (mL)) per phlebotomy every three weeks).

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Participants with Melanoma
Participants will undergo a pre-treatment tumor core biopsy and Peripheral blood mononuclear cell (PBMC) collection. Then, participants will be started on non-investigational pembrolizumab per standard of care and PBMCs will be collected every 3 weeks (1 cycle).
Tumor tissue collection
Other Names:
  • Excisional Biopsy
Intravenously Blood draw
Other Names:
  • Specimen Collection

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of Genes Predictive of Response at Baseline
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.
At Baseline, 1 day
Number of Genes Predictive of Response at 24 Weeks
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.
24 weeks
Number of T-cell Sub-populations
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.
Up to 24 weeks
Proportion of Participants With a Change in Clonal Expansion of T Cells Associated With Response to Anti-PD-1 Therapy
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.
Up to 24 weeks
Proportion of Participants With a Change in Distribution of T Cells Associated With Response to Anti-PD-1 Therapy
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.
Up to 24 weeks
Number of Transcriptional Migration Events
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.
Up to 24 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Adil Daud, MD, University of California, San Francisco

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 29, 2021

Primary Completion (Actual)

September 15, 2025

Study Completion (Actual)

September 15, 2025

Study Registration Dates

First Submitted

October 12, 2021

First Submitted That Met QC Criteria

October 25, 2021

First Posted (Actual)

November 3, 2021

Study Record Updates

Last Update Posted (Actual)

April 6, 2026

Last Update Submitted That Met QC Criteria

March 16, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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