Actively Recruiting

Phase Not Applicable
Age: 18Years +
All Genders
ID07419178

A New Diagnostic Algorithm to Non-invasively Track Fibrotic Changes in Myeloproliferative Neoplasms Based on CCR2 Detection Using Flow Cytometry and Targeted PET Molecular Imaging

Led by Azienda Ospedaliero-Universitaria di Parma · Updated on 2026-02-18

265

Participants Needed

1

Research Sites

8 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are studying chronic Philadelphia-negative myeloproliferative syndromes, which are blood disorders including essential thrombocythemia, polycythemia vera, and myelofibrosis. Myelofibrosis may occur initially or develop from the other conditions and is marked by scar-like tissue in the bone marrow, indicating a more severe disease stage. Currently, bone marrow biopsy is the only way to assess this fibrosis, and the study aims to find less invasive methods by tracking cells expressing the CCR2 receptor, a marker of fibrosis. The study evaluates a new diagnostic approach using flow cytometry on blood samples to identify CCR2-positive cells and PET-CT imaging with a targeted tracer called 68Ga-DOTA-ECL1i that binds to these cells. This approach is being tested both in preclinical models and in patients with myeloproliferative neoplasms. The project includes tracking these cells for diagnosis, functional imaging in mice, and imaging in human participants to support diagnosis and monitoring. Participants will have their blood tested for CCR2 expression on certain cells and undergo PET-CT imaging sessions using the tracer. Researchers will measure the percentage of circulating CD34+/CCR2+ cells as the main outcome and assess bone marrow activity and tracer uptake in other sites during imaging. The study supports diagnosis and disease monitoring without invasive biopsies and includes follow-up assessments to understand fibrotic progression. Participation involves blood tests and imaging, with evaluations done at enrollment and imaging sessions.

CONDITIONS

Brief Title

A New Diagnostic Algorithm to Non-invasively Track Fibrotic Changes in Myeloproliferative Neoplasms Based on C-C Chemokine Receptor 2 Detection. From Flow Cytometry to the Development of Targeted Positron Emission Tomography Molecular Imaging. Pre-clinical Studies and First In-human Proof of Concept

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Diagnosis of essential thrombocythemia, polycythemia vera, pre-primary myelofibrosis, overt primary myelofibrosis, or secondary myelofibrosis with histopathological data
  • Age 18 years or older
  • ECOG performance status of 3 or less
Not Eligible

You will not qualify if you...

  • Pregnancy or breastfeeding
  • Current treatment with immunomodulatory drugs such as JAK-inhibitors or interferon
  • For PET imaging, not having stopped cytoreductive treatment for at least 3 months
  • Antiplatelet agents are allowed

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 screening and enrollment visit (in-person)

Diagnostic Evaluation

Duration - 1 day

Participants undergo non-invasive imaging using PET/CT and flow cytometry to assess CCR2 expression on CD34+ cells and correlate imaging and blood data for diagnosis of MPN subtypes.

1 imaging and blood sample collection visit (in-person)

Long-term Monitoring

Duration - Up to study completion

Participants are observed over time to track disease progression and support clinical decisions without invasive procedures.

Follow-up visits as needed depending on clinical assessment

Trial Site Locations

Total: 1 location

1

Dipartimento di Medicina e Chirurgia

Parma, Italy, Italy, 43126

Actively Recruiting

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Research Team

E

Elena Masselli, MD, PhD

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

NA

Model

SINGLE_GROUP

Primary Purpose

SCREENING

Number of Arms

1

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