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Functional and Phenotypic Characterization of Monocytes in Myeloproliferative Syndromes

Functional and Phenotypic Characterization of Monocytes in Myeloproliferative Syndromes-PHEMOP

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06361641
Acronym
PHEMOP
Enrollment
70
Registered
2024-04-12
Start date
2024-05-29
Completion date
2028-11-19
Last updated
2026-08-10

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

Conditions

Essential Thrombocythemia, Myeloproliferative Neoplasm, Polycythemia Vera, Primary Myelofibrosis

Brief summary

Prospective study for functional and phenotypic characterization of monocytes in philadelphia-negative myeloproliferative neoplasms

Detailed description

Philadelphia-negative myeloproliferative neoplasms (MPN) are clonal disorders of the hematopoietic stem cell characterized by an excessive production of mature myeloid cells. MPNs are characterized by the presence of somatic gain-of-function mutations present in more than 80% of cases and affecting JAK2, CALR or MPL genes. These mutations lead to a constitutive activation of the JAK-STAT signaling pathway at the origin of cell proliferation. MPN include polycythemia vera (PV), essential thrombocythemia (ET), prefibrotic primary myelofibrosis (pre-PMF), and primary myelofibrosis (PMF). Despite the classification of MPNs into distinct subtypes based on clinical and pathological features, the precise mechanisms underlying the phenotypic diversity within these disorders remain poorly understood. One aspect that has received limited attention is the role of monocytes and macrophages, key components of the innate immune system, in MPN pathogenesis. Monocytes, circulating precursors of tissue-resident macrophages, play essential roles in inflammation, immune surveillance, and tissue repair. Upon recruitment to tissues, monocytes differentiate into macrophages with diverse phenotypes and functions influenced by local microenvironmental cues. Macrophages, in turn, exhibit a spectrum of activation states ranging from pro-inflammatory (M1) to anti-inflammatory or pro-repair (M2), with implications for various physiological and pathological processes. Recent studies have implicated monocytes and macrophages in the pathogenesis of MPNs. Circulating monocytes in MPN patients display altered functional characteristics, including dysregulated cytokine production and enhanced fibrotic potential. Additionally, monocytosis, an elevated monocyte count, has been identified as an adverse prognostic factor in MPNs, particularly in PMF. Based on these observations, investigator propose that monocytes and macrophages contribute to the phenotypic expression of MPNs and that distinct phenotypic and functional signatures of these cells may be associated with different MPN subtypes. By leveraging available techniques for genetic and functional analysis, study team aims to elucidate the role of monocytes and macrophages in MPN pathogenesis and identify potential biomarkers associated with disease phenotype and prognosis. Through comprehensive characterization of these immune cell populations, investigator seek to gain insights into the underlying mechanisms driving the heterogeneity of MPNs and identify novel therapeutic targets for precision medicine approaches.

Interventions

DIAGNOSTIC_TESTMonocytes signatures in myeloproliferative neoplasms at diagnosis

The monocytes signatures will be perform from a peripheral blood sample. The signature will be derived from (i) surface marker expression, (ii) cytokines profiles, (iii) genes expression.

Sponsors

University Hospital, Angers
Lead SponsorOTHER_GOV

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

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

Inclusion criteria

* Diagnosis of PV, ET, pre-myelofibrosis or primary myelofibrosis according to WHO 2022 criteria (including BOM for ET, premyelofibrosis and primary myelofibrosis) * Patient who has not received treatment specific to hemopathy at the time of sampling * Obtaining the signature of consent to participate in the study * Patient having consented to be included in the "Malignant Hemopathy" collection of Angers University Hospital and in FIMBANK database

Exclusion criteria

* Person not affiliated to a social security scheme or beneficiary of such a scheme * Patient with another hemopathy or another active cancer at the time of diagnosis * Minor patient at diagnosis (\< 18 years old) * Patient not capable or without agreement from the guardian or legal representative

Design outcomes

Primary

MeasureTime frameDescription
WHO 2016 criteria for polycythemia vera, prefibrotic myelofibrosis, essential thrombocytosis and overt myelofibrosis diagnosisDay 0Assessment of the monocytic signature against the WHO diagnosis (AUC will be determined)

Secondary

MeasureTime frameDescription
Identify correlation between the monocytic signature and driver mutations (mutation in JAK2, CALR or MPL gene).24 monthsThe monocytic signature will be derived from surface marker expression, cytokines profile and genes expression using a principal component analysis
Identify correlation between the monocytic signature and the grade of fibrosis24 monthsThe monocytic signature will be derived from surface marker expression, cytokines profile and genes expression using a principal component analysis The monocytic signature will be compared between the different stages of fibrosis (WHO definition for fibrosis grading)
prognostic value of the monocytic signature using a principal component analysis Response criteria according to Barosi et al., Leukemia, vol. 29,1 (2015): 20-612, 24 monthsEvaluate the prognostic value of the monocytic signature for treatment response The monocytic signature will be derived from surface marker expression, cytokines profile and genes expression using a principal component analysis Response criteria according to Barosi et al., Leukemia, vol. 29,1 (2015): 20-6 : * Complete response: normal blood counts * Partial response: platelets between 400 and 600 G/L * No response: absence of complete or partial response
Prognostic value of the monocyte signature for disease worsening according to Sureau et al., Blood Cancer Journal, vol. 12,4, 56. 8 Apr. 202224 monthsEvaluate the prognostic value of the monocyte signature for disease worsening The monocytic signature will be derived from surface marker expression, cytokines profile and genes expression using a principal component analysis Disease worsening criteria according to Sureau et al., Blood Cancer Journal, vol. 12,4, 56. 8 Apr. 2022): \- Worsening is defined by the presence of at least one of the following criteria: i) leukocytosis \>12 G/L or presence of immature granulocytes \>2% or erythroblasts \>1%; (ii) anemia (hemoglobin \<12 g/dL in a woman or \<13 g/dL in man) not related to treatment toxicity; (iii) thrombocytopenia (platelet count \<150G/L) not related to treatment toxicity; (iv) onset of splenomegaly or progression of pre-existing splenomegaly; (v) thrombocytosis despite cytoreductive therapy
leukemia-free survival24 monthsThe monocytic signature will be derived from surface marker expression, cytokines profile and genes expression using a principal component analysis Outcome measure : leukemia-free survival and myelofibrosis-free survival Evaluate the prognostic value of the monocytic signature for hematological progression (acute myeloid leukemia or myelofibrosis)
myelofibrosis-free survival24 monthsThe monocytic signature will be derived from surface marker expression, cytokines profile and genes expression using a principal component analysis Outcome measure : leukemia-free survival and myelofibrosis-free survival Evaluate the prognostic value of the monocytic signature for hematological progression (acute myeloid leukemia or myelofibrosis)
Monocytes parameters for hematological progression24 monthsEvaluate the prosnostic value of monocytes parameters for hematological progression Hematological free survival wil be evaluated by cox models

Countries

France

Contacts

CONTACTAgathe GOUBAND, PharmD
Agathe.Gouband@chu-angers.fr02 41 35 55 96
CONTACTUH Angers DRCI
DRCI-Promotion-Interne@chu-angers.fr+ 33 2 41 35 54 96
PRINCIPAL_INVESTIGATORAgathe GOUBAND, PharmD

University Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 11, 2026