Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Merck Sharp & Dohme LLC | INDUSTRY |
Not provided
Not provided
Not provided
Not provided
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.
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.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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). |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Biopsy | Procedure | Tumor tissue collection |
|
| Measure | Description | Time Frame |
|---|---|---|
| Number of Genes Predictive of Response at Baseline | 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 | 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 | 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 | 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 |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
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.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Adil Daud, MD | University of California, San Francisco | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of California, San Francisco | San Francisco | California | 94143 | United States |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| FG000 | 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). |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| BG000 | 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). |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Customized | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Number of Genes Predictive of Response at Baseline | 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. | Posted | Number | genes | At Baseline, 1 day |
|
Up to 24 weeks
Not provided
Not provided
| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | 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). |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Chest Pain | Cardiac disorders | CTCAE (5.0) | Systematic Assessment |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Colitis | Gastrointestinal disorders | CTCAE (5.0) | Systematic Assessment |
Not provided
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Adil Daud, MD | University of California, San Francisco | (415) 476-1000 | Adil.Daud@ucsf.edu |
Not provided
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Feb 26, 2025 | Mar 9, 2026 | Prot_SAP_000.pdf |
Not provided
| ID | Term |
|---|---|
| D008545 | Melanoma |
| ID | Term |
|---|---|
| D018358 | Neuroendocrine Tumors |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
Not provided
Not provided
| ID | Term |
|---|---|
| D001706 | Biopsy |
| D013048 | Specimen Handling |
| ID | Term |
|---|---|
| D003581 | Cytodiagnosis |
| D003584 | Cytological Techniques |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
Not provided
Not provided
Not provided
Not provided
Not provided
Tumor tissue and blood samples
| Biospecimen Collection | Procedure | Intravenously Blood draw |
|
|
| 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. 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 | 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 |
| Participants |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Region of Enrollment | Number | participants |
|
| Units | Counts |
|---|---|
| Participants |
|
|
| 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. The overall number of genes predictive of response at week 24 will be reported. | Posted | Number | genes | 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. The overall number of t-cell sub-populations will be reported. | Posted | Number | t-cell sub-populations | Up to 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 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. | Posted | Number | proportion of participants | Up to 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. The proportion of participants with a change in distribution of T cells associated with response to anti-PD-1 therapy will be reported. | Posted | Number | proportion of participants | Up to 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. The overall number of transcriptional migration events will be reported. | Posted | Number | transcriptional migration events | Up to 24 weeks |
|
|
|
| 0 |
| 25 |
| 1 |
| 25 |
| 15 |
| 25 |
| Fatigue | General disorders | CTCAE (5.0) | Systematic Assessment |
|
| Myalgia | Musculoskeletal and connective tissue disorders | CTCAE (5.0) | Systematic Assessment |
|
| Dyspnea | Respiratory, thoracic and mediastinal disorders | CTCAE (5.0) | Systematic Assessment |
|
| Pleural effusion | Respiratory, thoracic and mediastinal disorders | CTCAE (5.0) | Systematic Assessment |
|
| Rash | Skin and subcutaneous tissue disorders | CTCAE (5.0) | Systematic Assessment |
|
| Eczema | Skin and subcutaneous tissue disorders | CTCAE (5.0) | Systematic Assessment |
|
| Neutrophil count decreased | Investigations | CTCAE (5.0) | Systematic Assessment |
|
| Neuropathy | Nervous system disorders | CTCAE (5.0) | Systematic Assessment |
|
| Pruritic rash | Skin and subcutaneous tissue disorders | CTCAE (5.0) | Systematic Assessment |
|
| Hypothyroidism | Endocrine disorders | CTCAE (5.0) | Systematic Assessment |
|
| Aspartate aminotransferase increased | Investigations | CTCAE (5.0) | Systematic Assessment |
|
| Arthralgia | Musculoskeletal and connective tissue disorders | CTCAE (5.0) | Systematic Assessment |
|
| Fever | General disorders | CTCAE (5.0) | Systematic Assessment |
|
| Chills | General disorders | CTCAE (5.0) | Systematic Assessment |
|
| Skin and subcutaneous tissue disorders - Other, specify | Skin and subcutaneous tissue disorders | CTCAE (5.0) | Systematic Assessment | Itching |
|
Not provided
Not provided
Not provided
| D009369 | Neoplasms |
| D009380 | Neoplasms, Nerve Tissue |
| D018326 | Nevi and Melanomas |
| D012878 | Skin Neoplasms |
| D009371 | Neoplasms by Site |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D003933 | Diagnosis |
| D003949 | Diagnostic Techniques, Surgical |
| D013514 | Surgical Procedures, Operative |
| D008919 | Investigative Techniques |