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Pancreatic Cancer Molecular Sub-classification Using Endoscopic Ultrasound Tissue Core Biopsy Samples

Pancreatic Cancer Molecular Sub-classification for Prognostic Stratification and Individualized Therapy Using Endoscopic Ultrasound Tissue Core Biopsy Samples

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04246710
Enrollment
160
Registered
2020-01-29
Start date
2018-01-28
Completion date
2024-06-02
Last updated
2024-02-13

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

Conditions

Pancreas Cancer

Keywords

pancreatic cancer, EUS, molecular subtyping, personalized medicine

Brief summary

This study evaluated the feasibility and reliability of PDAC molecular subtyping on tissue core biopsies samples acquired under EUS guidance. Moreover, this study will assess the impact of molecular subtypes assessed on EUS-FNB samples in patients with resectable and unresectable (locally advanced, advanced, and metastatic) PDAC undergoing chemotherapy on treatment response and survival and the utility in monitoring disease response to therapy and early occurrence of disease relapse using the TaqMan RNA assay in serum

Detailed description

PDAC patients are categorised as resectable, borderline resectable, locally advanced, metastatic and recurrent. Substantial neoplastic tissue is only available for the resectable group. This is unfortunate as the other groups are those that would benefit the most from molecular characterization and identification of markers, which may be predictive and/or provide therapeutic stratification. For these categories of patients, only fine needle aspiration or small biopsies could be obtained until now. However, the introduction of new needles, specifically designed to acquire larger high quality biopsy samples under endoscopic ultrasound (EUS), has now made it possible to test prognostic, predictive and therapeutic stratification markers. However, the applicability of EUS-fine needle biopsy (EUS-FNB) samples for this purpose has yet to be clinically validated. The working hypothesis of this proposal is that the molecular sub-classification of PDAC on EUS-FNB tissue samples could be applied for prognostic stratification and therapeutic decision strategies in both resectable and unresectable patients using DNA and RNA biomarkers.

Interventions

None listed

Sponsors

Medtronic
CollaboratorINDUSTRY
Catholic University of the Sacred Heart
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Patients referred to EUS with FNB in the suspect of pancreatic cancer * Availability of biopsies obtained during EUS-FNB * Histological diagnosis of pancreatic ductal adenocarcinoma of any stage * Age \>18 and \<80 years * Willing to be followed up at the Fondazione Policlinico A. Gemelli University Hospital * Able to sign informed consent

Exclusion criteria

* Histological diagnoses other than pancreatic ductal adenocarcinoma * Pregnancy or lactation * Unable to sigh informed consent

Design outcomes

Primary

MeasureTime frameDescription
Feasibility of PDAC molecular subtyping on biopsy samplesAt 6 monthsNumber of patients in whom molecular subtyping on biopsy samples is obtained
Reliability of PDAC molecular subtyping on biopsy samplesAt 1 yearconcordance between molecular subtyping on biopsy samples and surgery specimens

Secondary

MeasureTime frameDescription
Progression-free-survival (PFS)From date of enrollment assessed until death or up to 3 yearsTo assess the impact of molecular subtypes assessed on EUS-FNB samples PFS defined as the time from the date of trial entry until disease progression or relapse.
Overall survivalFrom date of enrollment assessed until death or up to 3 yearsOverall survival defined as the length of time (in days) between the treatment date and the date of death.

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026