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Predictive Biomarkers Including miRNA-based Tumor Signatures in Diffuse Large B Cell Lymphoma (R/R DLBCL) (MIMOSA)

Deciphering the Biology of Relapsed/Refractory Diffuse Large B Cell Lymphoma (R/R DLBCL) Subtypes: Identification of Predictive Biomarkers Including miRNA-based Tumor Signatures to Optimize Sequential Treatment Decisions. (MIMOSA)

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05746858
Acronym
MIMOSA
Enrollment
300
Registered
2023-02-28
Start date
2023-04-01
Completion date
2027-03-31
Last updated
2023-02-28

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

Conditions

Diffuse Large B Cell Lymphoma, Relapsed Non-Hodgkin Lymphoma

Keywords

miRNA, flow cytometry, next generation sequencing

Brief summary

The goal of this study is to identify biomarkers that will predict outcome to standard and targeted therapies in patients with relapsed/refractory diffuse large B-cell lymphoma (DLBCL). The specific aims of the present project are: 1. To explore associations between expression of target antigens on surface of neoplastic cells of DLBCL patients and response to target therapies 2. To identify specific miRNA signatures as predictors of response to upfront and salvage immune-chemotherapies in DLBCL patients. 3. To refine the diagnosis and molecular profiling of DLBCL, and to provide biological information of prognostic relevance in the setting of innovative treatments of patients with DLBCL.

Detailed description

The research activities will be conducted within a project-specific retrospective/ prospective, multicenter, non-interventional study. The study is non-interventional since all patients will be treated according to institutional guidelines for standard clinical practice at each center. Duration of the study: this is a two-year project, in the first 4 moths the retrospective part of the study will be performed, the accrual of patients for the prospective part will start rom the fourth month and the analysis of the prospective samples will last until the end of the project. The in vitro model will be established during the first year and the in vitro experiments will be performed until the enst of the project. The last months of the study will be dedicated to the statistical analysis of data and to their interpretation. This project will be developed through the following specific Tasks: Task 1: To explore associations between expression of target antigens on surface of neoplastic cells of DLBCL patients and response to target therapies A flow cytometric algorithm has been developed to identify an aberrant CD19+ B cell populations suggestive for aggressive B cell lymphoma that consists in the identification of a cell population defined by either the presence of surface immunoglobulin light chain clonality or the absence of light chains expression in combination with increased FSC and SSC physical parameters. These populations will be analysed for expressioe of target antigens. Task 2: To identify specific miRNA signatures as predictors of response to upfront and salvage immunotherapies in DLBCL patients. To this end miRNA expression profiling will be performed by Nanostring technology in formalin fixed and paraffin embedded (FFPE) tumor tissue samples collected at diagnosis. The resulting hits will be further analyzed in matched plasma/serum samples to evaluate the potential use of miRNAs as non-invasive biomarkers. Task 3: To refine the diagnosis and molecular profiling of DLBCL, and to provide biological information of prognostic relevance in the setting of innovative treatments of patients with DLBCL The major aim is to provide the multilevel characterization (nanostring, NGS) of DLBCL cases that are concurrently utilized to develop a miRNA signature predictive of response to upfront and salvage treatments. Cases will be also characterized for structural alterations of MYC, BCL2 and BCL-6 genes (FISH) and for dual MYC/BCL2 protein expression (immunohistochemistry). In addition, information on pathways of immunosurveillance and microenvironmental functions will be generated.

Interventions

OTHERno intervention (observational study)

No intervention (observational study)

Sponsors

Istituti Fisioterapici Ospitalieri
CollaboratorOTHER
Istituto Nazionale Tumori IRCCS - Fondazione G. Pascale
CollaboratorNETWORK
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

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

Inclusion criteria

* Diagnosis of DLBCL and RR-DLBCL; * Age\>18 years; * Eligibility for first-line and/or salvage chemo-immunotherapies as above specified; * Measurable and/or evaluable disease (at least one bi-dimensionally measurable lesion on imaging scan defined as \>1.5 cm in its longest dimension); * No concomitant active cancers or others life-threatening conditions that can compromise chemotherapy treatment; * Available FFPE and fresh tumor tissue (excisional biopsy, Tru-cut microhistology); * Informed consent to treatment and use of biologic materials for studies related to the present proposal.

Exclusion criteria

* Diagnosis of follicular lymphoma grade 3b, lymphoblastic lymphoma, Burkitt lymphoma or primary mediastinal lymphoma; * Age ≤ 18 years; * Ineligible for first-line and/or salvage chemo-immunotherapies; * No measurable and/or evaluable disease; * Patients with concomitant active solid tumors or others clinical conditions that can compromise chemotherapy treatment or negatively influence the prognosis; * Known history of HIV seropositive status. HIV testing will be performed at screening

Design outcomes

Primary

MeasureTime frameDescription
Complete remission2 yearsComplete remission rates according to miRNA signatures, expression of target antigens, mutational status

Countries

Italy

Contacts

Primary ContactStefan Hohaus, MD
stefan.hohaus@unicatt.it06-30154180

Outcome results

None listed

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