This is a biological study based on a collaborative effort involving several Italian haematology centres (including the coordinating centre). The study will be conducted retrospectively and prospectively using bone marrow (BM) or peripheral blood (PB) samples, lymph node or tissue biopsies with metastatic involvement, and other biological fluids, such as cerebrospinal fluid and pathological pleural effusion.
Patient aged > 2 year old
Patients previously diagnosed with hematological malignancies
Patients with clinical suspect of hematological malignancies requiring a diagnostic assessment using BM or PB samples, biopsies of lymph nodes or tissues with metastatic involvement, or other biological fluids (such as CSF, pathologic pleural effusion).
Patients with clinical suspicion of R/R onco-hematological disorder, requiring a diagnostic assessment using BM aspirate/biopsy or biopsies of tissues with metastatic involvement including lymph nodes, liquor from lumbar puncture, tissue aspirate etc.
Age <2 year old
Patient without a diagnosis of hematological malignancy.
Single group
Multi-omics analyses
Other interventionThe focus of our scientific approach is based on multi-omics analyses: NGS (Next Generation Sequencing analysis), Bulk Transcriptomics, Single-cell resolution, Single-cell transcriptomics and phosphoproteomics.
Functional tests
Biological/VaccineFunctional analyses will be performed on primary sample from each enrolled patient. Malignant cells are cultered and incubated with a specific library of drugs (300 drugs) at four different concentrations for 72 hours.
Characterize multi-omics features of different hematological malignancies to identify disease biomarkers
This will be performed through the application of transcriptomics, phosphoproteomics, metabolomics, genomics, and other omics techniques. Proportion of samples in which ≥1 candidate biomarker is identified through multi-omic assessment (NGS, RNA-seq/Nanostring, single-cell/CITE-seq or phospho-proteomic profiling), categorized by predefined levels of evidence (high/moderate/exploratory according to current guidelines, such as ESCAT (5)).
Evaluate the anti-cancer activity of bioactive compounds and derivatives for functionally pharmacotyping the disease and build a nationally oriented multicenter DRP platform.
Ex vivo sensitivity to compounds/derivatives: proportion of samples showing ex vivo response to at least one class of compounds of the library according to predefined thresholds on Drug Sensitivity Score (DSS) and/or AUC/IC50. The thresholds are identified based on previous reports, database (e.g. FORALL, Genomic of Drug Sensitivity in Cancer), and internal validation on previous cases assessed in our chemogenomic platform. Additional metrics will include the mean number of active compounds per sample and further application of DSS distribution in the experimental cohort (sDSS, dDSS, zDSS).
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Azienda Ospedaliero-Universitaria di Parma
Lead sponsor
University of Parma
Sponsor institution
