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Brief Title: Predictive Biomarkers Including miRNA-based Tumor Signatures in Diffuse Large B Cell Lymphoma (R/R DLBCL) (MIMOSA)
Official Title: 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)
Study ID: NCT05746858
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.
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Istituto Nazionale Tumori Fondazione "G. Pascale" IRCCS, Napoli, , Italy
Fonadazione Policlinico Universitario A. Gemelli, Roma, , Italy
Istituti Fisioterapici Ospitalieri -Istituto Regina Elena, Roma, , Italy
Name: Stefan Hohaus, MD
Affiliation: Fondazione Policlinico Universitario A. Gemelli
Role: PRINCIPAL_INVESTIGATOR