ProsperPanc: Province of Ontario Strategy for Personalized Management of Pancreatic Cancer Trial

Sponsor
University Health Network, Toronto (Other)
Overall Status
Recruiting
CT.gov ID
NCT05927298
Collaborator
Ontario Institute for Cancer Research (Other), Ottawa Hospital Research Institute (Other), Lawson Health Research Institute (Other)
200
1
48
4.2

Study Details

Study Description

Brief Summary

This is a prospective, multi-centre, translational and observational study. Two cohorts of patients with pancreatic ductal adenocarcinoma (PDAC) are eligible to enroll 1) Upfront resectable PDAC 2) Advanced (unresectable PDAC or metastatic). Patients will have tissue either at resection or from a biopsy at enrolment processed for whole genome sequencing, RNA sequencing and for establishment of patient derived organoids (PDOs). Background epidemiological history and outcome data will be prospectively annotated. Serial blood and stool samples will be collected for exploratory analyses. All electronic medical record information will also be collected. Data will be used to determine if an integrated correlative analysis of whole genome sequencing/RNAsequencing (WGS/RNAseq) and PDOs in the enrolled population will increase the number of patients receiving a precision-matched treatment in Ontario

Condition or Disease Intervention/Treatment Phase
  • Other: Non-interventional

Detailed Description

This study is being done to answer the following question: Can creating 3D models using tumour samples and looking at genetic information from pancreatic ductal adenocarcinoma (PDAC) tumours, help us to provide more patients with a specific, personalized treatment? Two groups of patients with PDAC are eligible to enroll 1) PDAC patients that will go straight to surgery 2) PDAC patients where the disease is either too advanced for a surgical option, or the disease has spread to other areas in the body. Patients will have tumour tissue taken either during their surgery or from a biopsy at enrolment. Background history, outcome data, questionnaires, series of blood draws and stool samples will be collected for analyses. All electronic medical record information will also be collected.

Researchers are looking for better ways of understanding and treating pancreatic cancer by looking to see how useful it is to know about changes and characteristics in the genes in the tumour (molecules that contain instructions for the development and functioning of the cells). Results from analyzed data may be useful in choosing treatments for enrolled patients and for patients in the future. Patients current treatment plan will not change if they choose to take part in this study.

Study Design

Study Type:
Observational
Anticipated Enrollment :
200 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Province of Ontario Strategy for Personalized Management of Pancreatic Cancer Trial
Actual Study Start Date :
Mar 6, 2023
Anticipated Primary Completion Date :
Mar 6, 2027
Anticipated Study Completion Date :
Mar 6, 2027

Arms and Interventions

Arm Intervention/Treatment
Cohort 1

Upfront resectable PDAC

Other: Non-interventional
Standard of care intervention

Cohort 2

Advanced (unresectable PDAC or metastatic)

Other: Non-interventional
Standard of care intervention

Outcome Measures

Primary Outcome Measures

  1. Precision-Matched Treatment Utilization Rate [4 years]

    Number of patients receiving precision-matched treatment in Ontario based on integrated correlative analysis of whole-genome sequencing (WGS), RNA sequencing (RNAseq), and patient-derived organoids (PDOs).

Secondary Outcome Measures

  1. Pancreatic Cancer Specimen and PDO Dataset [4 years]

    Comprehensive dataset of pancreatic cancer specimens (tissue and blood) and matched patient-derived organoids (PDOs)

  2. Drug Sensitivity Correlation with Molecular Information [4 Years]

    Correlation between drug sensitivities in patient-derived organoids (PDOs) and molecular information from high-throughput drug screening.

  3. Correlation of Immune Phenotypes and Molecular Profiles [4 Years]

    Relationship between immune phenotypes (assessed using image mass cytometry) and molecular profiles, such as basal-like/classical subtypes.

Other Outcome Measures

  1. AI-Based Electronic Medical Record (EMR) Platform Development [4 Years]

    Development of an electronic medical record (EMR) platform utilizing artificial intelligence (AI) modeling for enhanced data analysis and decision-making.

  2. Correlation Between Serial Plasma WGS and Tissue WGS [4 Years]

    Correlation between serial plasma whole-genome sequencing (WGS) and tissue WGS for monitoring treatment response and identifying potential biomarkers.

  3. Epigenomic Characterization of PDOs [4 Years]

    Characterization of the epigenome in established patient-derived organoids (PDOs) to understand epigenetic alterations and their impact on treatment response.

  4. Evaluation of Oncolytic Viruses in Combination with Immune Checkpoint Inhibitors [4 Years]

    Assessment of oncolytic virus efficacy in combination with immune checkpoint inhibitors in a subset of 50 patient-derived organoids (PDOs) co-cultured with autologous peripheral blood mononuclear cells (PBMCs).

  5. Microbiome Differences and Correlation with WGS/RNA Subtypes [4 Years]

    Identification of microbiome differences in patients at various stages of pancreatic ductal adenocarcinoma (PDAC) and their correlation with whole-genome sequencing (WGS)/RNA subtypes.

  6. Stroma Subtypes Documentation and Correlation with Outcomes [4 Years]

    Documentation of different stroma subtypes in pancreatic cancer and their correlation with clinical outcomes to understand their impact on disease progression and patient prognosis.

  7. Response Assessment in Precision-Matched Treatment [4 Years]

    Evaluation of treatment responses in patients receiving precision-matched treatment using the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1.

  8. Genetic and Environmental Factors in Pancreatic Cancer [4 Years]

    Investigation of the involvement of genetic and environmental factors in the development and progression of pancreatic cancer.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Inclusion Criteria:
  1. Patients must have either upfront resectable PDAC or advanced (unresectable or metastatic) PDAC (borderline PDAC and those planned for neoadjuvant chemotherapy excluded)

  2. Patients with a histological or radiological diagnosis of pancreatic ductal adenocarcinoma (PDAC). For patients awaiting histological confirmation, tissue obtained at study enrolment or can suffice. For those patients who undergo a resection, surgical tissue will be used.

  3. For patients enrolling with resectable PDAC (cohort 1) - the definition of resectability will be according to NCCN guidelines and the patient must be planned for a surgery first approach.

  4. For patients with advanced PDAC (cohort 2), all stages are eligible including locally advanced unresectable, first-line metastatic, second-line (or beyond) metastatic.

  5. In advanced PDAC patients (cohort 2) where a single lesion is to be biopsied, the lesion should be amenable to a core needle biopsy as judged by a staff radiologist. A minimum of 4 to 6 x 18 Gauge (G) good quality tumour cores must be safely obtainable under CT or US guidance.

  6. Patients must have a life expectancy of ≥ 6 months

  7. ECOG 0-1

  8. Patient must be suitable for systemic therapy

  9. Patients should have organ function deemed sufficiently adequate to receive systemic therapy

Exclusion Criteria:
  1. Certain histologies are excluded: colloid, high grade neuroendocrine;

  2. For patients enrolling in cohort 2 - Patients without a tumour lesion amenable to biopsy or with tumour lesions that are not safe for sampling a minimum of 4 to 6 x 18G good quality tumour cores by image guided core needle biopsy as judged by a staff radiologist.

  3. Patients who are not fit enough to undergo a tumour biopsy for any reason as judged by the investigator; this includes patients who cannot stop anticoagulation therapy.

  4. For cohort 1 - patients receiving neoadjuvant chemotherapy are excluded, (neoadjuvant immunotherapy is permitted)

Contacts and Locations

Locations

Site City State Country Postal Code
1 Princess Margaret Cancer Centre Toronto Ontario Canada M5G 2M9

Sponsors and Collaborators

  • University Health Network, Toronto
  • Ontario Institute for Cancer Research
  • Ottawa Hospital Research Institute
  • Lawson Health Research Institute

Investigators

  • Principal Investigator: Erica Tsang, MD, University Health Network, Toronto

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
University Health Network, Toronto
ClinicalTrials.gov Identifier:
NCT05927298
Other Study ID Numbers:
  • OZUHN-011
First Posted:
Jul 3, 2023
Last Update Posted:
Jul 3, 2023
Last Verified:
Jun 1, 2023
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jul 3, 2023