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AI Derived Biomarker to Select Neoadjuvant Treatment for Borderline Resectable Pancreatic Ductal Adenocarcinoma

A Retrospective/Prospective Study of an Artificial Intelligence Derived Histological Biomarker to Select Neoadjuvant Treatment for Patients With Borderline Resectable or Resectable Pancreatic Ductal Adenocarcinoma

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06320717
Enrollment
100
Registered
2024-03-20
Start date
2024-01-02
Completion date
2026-12-02
Last updated
2026-07-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pancreatic Ductal Adenocarcinoma

Brief summary

To collect samples and information from patients who will be undergoing standard of care neoadjuvant treatment with either FOLFIRINOX or Gemcitabine + Nab-paclitaxel. The information collected will be used to determine if there are any "biomarkers" in your blood or tumor tissue that, when compared to your response to the neoadjuvant treatment, could be used to choose the best treatment option for future patients with similar biomarkers.

Interventions

OTHERBlood sample

To determine if there are any biomarkers in the blood that could be used to choose best treatment plan for future patients

Sponsors

Roswell Park Cancer Institute
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Have histologically or cytologically confirmed PDAC that is borderline resectable (BR) (Cohort A) OR have histologically or cytologically confirmed PDAC that is resectable (Cohort B) using the National Comprehensive Cancer Network criteria \[35\]. * Availability of archival tumor tissue (diagnostic for PDAC) required * Have a documented ECOG Performance Status of ≤ 1 * Participant must understand the investigational nature of this study and sign an Independent Ethics Committee/Institutional Review Board approved written informed consent form (ICF) prior to receiving any study related procedure.

Exclusion criteria

* Has received prior systemic treatment (standard of care or experimental) for PDAC * Participant has a concurrent malignancy requiring active treatment during the study.

Design outcomes

Primary

MeasureTime frameDescription
Retrospective prediction of pCR in resectable patientsUp to 2 yearsPathologic response is based on the American College of Pathology Criteria. The AI classified treatment is based on the best representative slide analyzed by the Valar Labs AI algorithm for V-FFX (is Folfirinox recommended) and V-GNP (is GEM/NAB-Paclitaxel recommended
Retrospective prediction of pCR in borderline resectable patientsUp to 2 yearsPathologic response is based on the American College of Pathology Criteria. The AI classified treatment is based on the best representative slide analyzed by the Valar Labs AI algorithm for V-FFX (is Folfirinox recommended) and V-GNP (is GEM/NAB-Paclitaxel recommended). Pathologic response is based on the American College of Pathology Criteria. The AI classified treatment is based on the best representative slide analyzed by the Valar Labs AI algorithm for V-FFX (is Folfirinox recommended) and V-GNP (is GEM/NAB-Paclitaxel recommended)

Secondary

MeasureTime frameDescription
Survival statusUp to 2 yearsMedical chart will be reviewed for survival status
RECIST 1.1 responseUP to 2 yearsTumor response was determined by RECIST1.1

Countries

United States

Contacts

CONTACTChristos Fountzilas, MD
Christos.Fountzilas@roswellpark.org716-845-2300
PRINCIPAL_INVESTIGATORChristos Fountilas, MD

Roswell Park Comprehensive Cancer Center

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 24, 2026