A Phase 2 interventional study of Dostarlimab and Niraparib in Metastatic Pancreatic Ductal Adenocarcinoma and Stage IV Pancreatic Cancer AJCC v8, sponsored by Mayo Clinic. Completed at 3 sites in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-09-03.
Sponsored by Mayo Clinic · Phase 2, Interventional, and Treatment
This phase II trial studies how well niraparib and dostarlimab work in treating patients with germline or somatic BRCA1/2 and PALB2 mutated pancreatic cancer that has spread to other places in the body (metastatic). Niraparib may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth. Immunotherapy with monoclonal antibodies, such as dostarlimab, may help the body's immune system attack the cancer, and may interfere with the ability of tumor cells to grow and spread. Giving niraparib and dostarlimab may kill more tumor cells.
PRIMARY OBJECTIVE:
I. To determine antitumor activity as measured by disease control rate at 12 weeks (DCR12) as assessed using immune-modified Response Evaluation Criteria in Solid Tumors (iRECIST) in select homologous recombination repair (HRR) deficient pancreatic cancer patients with HRR deficiency (defined as mutations in BRCA 1/ 2, or PALB2).
SECONDARY OBJECTIVES:
I. To assess adverse events according to the current National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE) and other safety parameters.
II. To assess the time to next treatment (TTNT), objective response rate (ORR), time to and duration of response and duration of confirmed stable disease according to iRECIST.
III. To assess progression-free survival. IV. To assess overall survival.
CORRELATIVE RESEARCH OBJECTIVES:
I. To assess germline deoxyribonucleic acid (DNA) and serum markers of immune response.
II. To determine changes in circulating tumor DNA (ctDNA) profile after therapy with a PARP inhibitor (i) and a PD-1 inhibitor.
III. To study mechanisms of resistance in ctDNA profile after therapy with a PARPi and a PD-1 inhibitor.
IV. To assess the tumor microenvironment for immune related changes (immune infiltration, PD-L1 and PD-1 expression, tumor-infiltrating lymphocytes [TIL]).
V. To assess genetic profile of the tumor pre- and post-treatment. VI. To determine changes in the cytokine profile pre- and post-treatment.
OUTLINE:
Patients receive niraparib orally (PO) once daily (QD) on days 1-21. Patients also receive dostarlimab intravenously (IV) over 30 minutes on day 1 every 3 weeks (Q3W) for cycles 1-4 and every 6 weeks (Q6W) for subsequent cycles. Cycles repeat every 21 days for up to 2 years in the absence of disease progression or unacceptable toxicity.
After completion of study treatment, patients are followed up at 30 days, every 3 months until progressive disease (PD), and then every 6 months for up to 5 years after registration.
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At least one but no more than two prior lines of systemic therapy for metastatic disease (maintenance therapy is not considered a line of treatment)
Willingness to undergo repeat biopsies of tumor lesions amenable to biopsy
Exclusion Criteria:
Received a transfusion (platelets or red blood cells) =\< 4 weeks prior to registration
Received colony-stimulating factors (e.g., granulocyte colony-stimulating factor, granulocyte macrophage colony-stimulating factor, or recombinant erythropoietin) =\< 4 weeks prior to registration
Persons of childbearing potential (POCBP) or those capable of causing pregnancy whose sexual partners are POCBP who are unwilling or unable to use an effective method of contraception for at least 1 month prior to study entry, for the duration of the study, and for at least 180 days after the last dose of study drug. Non-childbearing potential is defined as follows (by other than medical reasons):
Active, known or suspected unstable auto-immune disease, are excluded from this study. Exceptions to this criterion are all auto-immune disease that have remained stable within the past 3 months on corticosteroids (=\< prednisone 20 mg or equivalent) prior to first study treatment are allowed to enroll. Patients with autoimmune diseases that do not require active immunosuppression are also allowed to enroll
Patients receive niraparib PO QD on days 1-21. Patients also receive dostarlimab IV over 30 minutes on day 1 Q3W for cycles 1-4 and Q6W for subsequent cycles. Cycles repeat every 21 days for up to 2 years in the absence of disease progression or unacceptable toxicity.
Biological: Dostarlimab · Drug: Niraparib
Given IV
Also known as: ANB011, Immunoglobulin G4, Anti-programmed Cell Death Protein 1 (PDCD1) (Humanized Clone ABT1 Gamma4-chain), Disulfide with Humanized Clone ABT1 Kappa-chain, Dimer, TSR 042, TSR-042, TSR042
Given PO
Also known as: MK-4827, MK4827
Disease Control Rate at 12 Weeks (DCR12)
Will be assessed using the standard immune-modified Response Evaluation Criteria in Solid Tumors (iRECIST) criteria.
Time frame: At 12 weeks
Objective Response Rate (ORR)
The confirmed response rate (by iRECIST ) will be assessed.
Time frame: Up to 4 years and 5 months
Time to Next Treatment (TTNT)
TTNT will be estimated using the Kaplan-Meier method.
Time frame: From the end of study treatment to receiving the next treatment, assessed up to 5 years
Overall Survival (OS)
OS will be estimated using the Kaplan-Meier method.
Time frame: From study entry to death from any cause, assessed up to 4 years and 5 months
Time to and Duration of Confirmed Response
Will be assessed using the Kaplan-Meier method.
Time frame: From the first documented date of confirmed response (complete response [CR] or partial response [PR]) to the date at which progression is first documented, assessed up to 5 years
Progression-free Survival (PFS)
PFS will be estimated using the Kaplan-Meier method.
Time frame: From study entry to the first of either disease progression or death from any cause, assessed up to 4 years and 5 months
Incidence of Adverse Events (AEs)
The maximum grade for each type of adverse event will be summarized using Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. The frequency and percentage of grade 3+ adverse events will be estimated. Will also assess AEs at least possibly related to treatment as well.
Time frame: Up to 4 years and 5 months
Germline Deoxyribonucleic Acid (DNA) and Serum Markers of Immune Response
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response versus \[vs\]. no response), will use logistic regression models.
Time frame: Up to 5 years
Changes in Circulating Tumor DNA (ctDNA) Profile After Therapy With a PARP Inhibitor (i) and a PD-1 Inhibitor
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Time frame: Baseline up to 5 years
Mechanisms of Resistance in ctDNA Profile After Therapy With a PARPi and a PD-1 Inhibitor
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Time frame: Up to 5 years
Tumor Microenvironment for Immune Related Changes (Immune Infiltration, PD-L1 and PD-1 Expression, Tumor-infiltrating Lymphocytes)
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Time frame: Up to 5 years
Genetic Profile of the Tumor Pre- and Post-treatment
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Time frame: Baseline up to 5 years
Changes in the Cytokine Profile Pre- and Post-treatment
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Time frame: Baseline up to 5 years
| Milestone | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Started | 22 |
| Completed | 18 |
| Not completed | 4 |
Will be assessed using the standard immune-modified Response Evaluation Criteria in Solid Tumors (iRECIST) criteria.
| Participants | Treatment (Niraparib, Dostarlimab) |
|---|---|
| No Success | 13 |
| Success | 5 |
The confirmed response rate (by iRECIST ) will be assessed.
| Participants | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Objective Response Rate (ORR) | 0 |
TTNT will be estimated using the Kaplan-Meier method.
| Days | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Time to Next Treatment (TTNT) | 105.0 (28.0 to NA) |
OS will be estimated using the Kaplan-Meier method.
| months | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Overall Survival (OS) | 27.9 (27.3 to NA) |
Will be assessed using the Kaplan-Meier method.
No measurements were reported for this outcome.
PFS will be estimated using the Kaplan-Meier method.
| months | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Progression-free Survival (PFS) | 16.4 (13.6 to NA) |
The maximum grade for each type of adverse event will be summarized using Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. The frequency and percentage of grade 3+ adverse events will be estimated. Will also assess AEs at least possibly related to treatment as well.
| Participants | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Any Grade 3 or Higher | 15 |
| Any Grade 4 or Higher | 3 |
| Grade 5 | 2 |
| Hematologic Grade 3 or Higher | 9 |
| Hematologic Grade 4 or Higher | 1 |
| Hematologic Grade 5 | 0 |
| Non-Hematologic Grade 3 or Higher | 12 |
| Non-Hematologic Grade 4 or Higher | 2 |
| Non-Hematologic Grade 5 | 2 |
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response versus \[vs\]. no response), will use logistic regression models.
Results for this outcome have not been posted.
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Results for this outcome have not been posted.
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Results for this outcome have not been posted.
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Results for this outcome have not been posted.
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Results for this outcome have not been posted.
Due to the limited sample size, these analyses will be hypothesis generating and descriptive in nature. Descriptive statistics will be summarized and the blood and tissue marker data will be correlated with clinical endpoints (response, DCR12, duration of response, OS, PFS, adverse events, etc.). For time-to-event data, the Kaplan-Meier method will be used. For categorical data, will use the Fisher's exact test. For marker data used to predict binary outcomes (i.e. response vs. no response), will use logistic regression models.
Results for this outcome have not been posted.
Collected over Up to 4 years and 5 months. Non-serious events are listed at a 0% frequency threshold.
| Group | Deaths | Serious | Other |
|---|---|---|---|
| Treatment (Niraparib, Dostarlimab) | 2/20 (10%) | 2/20 (10%) | 20/20 (100%) |
| Event | Treatment (Niraparib, Dostarlimab) |
|---|---|
| AsystoleCardiac disorders | 1/20 |
| Infections and infestations - Oth specInfections and infestations | 1/20 |
| Event | Treatment (Niraparib, Dostarlimab) |
|---|---|
| AnemiaBlood and lymphatic system disorders | 19/20 |
| FatigueGeneral disorders and administration site conditions | 17/20 |
| PainGeneral disorders and administration site conditions | 13/20 |
| HyperglycemiaMetabolism and nutrition disorders | 11/20 |
| Platelet count decreasedInvestigations | 8/20 |
| Aspartate aminotransferase increasedInvestigations | 6/20 |
| DiarrheaGastrointestinal disorders | 5/20 |
| Creatinine increasedInvestigations | 5/20 |
| Lymphocyte count decreasedInvestigations | 5/20 |
| DyspneaRespiratory, thoracic and mediastinal disorders | 5/20 |
| Age, Continuous(years) | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Mean | 61.3 ± 8.49 |
| Sex: Female, Male(Participants) | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Female | 11 |
| Male | 7 |
| Ethnicity (NIH/OMB)(Participants) | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Hispanic or Latino | 0 |
| Not Hispanic or Latino | 18 |
| Unknown or Not Reported | 0 |
| Race (NIH/OMB)(Participants) | Treatment (Niraparib, Dostarlimab) |
|---|---|
| American Indian or Alaska Native | 0 |
| Asian | 0 |
| Native Hawaiian or Other Pacific Islander | 0 |
| Black or African American | 1 |
| White | 17 |
| More than one race | 0 |
| Unknown or Not Reported | 0 |
| Number of Prior Treatment(s)(Participants) | Treatment (Niraparib, Dostarlimab) |
|---|---|
| 1 | 3 |
| 2 | 7 |
| 3+ | 8 |
| Mismatch Repair Status(Participants) | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Deficient | 2 |
| Proficient | 15 |
| Deleterious Mutation(Participants) | Treatment (Niraparib, Dostarlimab) |
|---|---|
| BRCA 1 | 5 |
| BRCA 2 | 12 |
| PALB2 | 1 |
| Platinum Tx Exposure(Participants) | Treatment (Niraparib, Dostarlimab) |
|---|---|
| Yes | 16 |
| No | 2 |
1 further baseline measures are reported on the registry.
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