Project description:Myelofibrosis (MF) is a progressive, bone marrow (BM) malignancy associated with monocytosis, and is believed to promote the pathological remodelling of the extracellular matrix. Here, we show that the pathologic grading of MF was associated with inflammatory gene expression in primary patient samples.
Project description:Myelofibrosis (MF) is a progressive, bone marrow (BM) malignancy associated with monocytosis, and is believed to promote the pathological remodelling of the extracellular matrix. Here, we show that the pathologic grading of MF was associated with inflammatory gene expression in primary patient samples.
Project description:Primary myelofibrosis (PMF) together with polycythemia vera (PV) and essential thrombocythemia (ET) belongs to the classic Philadelphia-negative myeloproliferative neoplasms (MPNs). PV and ET can evolve to secondary myelofibrosis (SMF) giving rise to post-PV (PPV) and post-ET (PET) myelofibrosis (MF). PMF and SMF patients are currently managed in the same way and prediction of survival is based on the same prognostic models, even if it has been demonstrated that they can’t accurately distinguish different risk categories in SMF. In the last few years interest grew concerning the ability of gene expression profiling (GEP) to provide valuable prognostic information for clinical decision making. To construct a molecular signature that can predict survival according to gene expression we studied GEP of granulocytes from 114 MF patients, including 35 prefibrotic/early PMF (Pre-PMF), 37 overt PMF (Overt-PMF), 26 PET and 16 PPV, using microarray platform.
Project description:Myelofibrosis (MF) is a hematopoietic stem cell disorder belonging to the myeloproliferative neoplasms. MF patients frequently carry driver mutations in JAK2 and Calreticulin (CALR) and have limited therapeutic options. Here, we integrate ex vivo drug response and proteotype analyses across MF patient cohorts to discover targetable vulnerabilities and associated therapeutic strategies. Drug sensitivities of mutated and progenitor cells were measured in patient blood using high-content imaging and single-cell deep learning-based analyses. Integration with matched molecular profiling revealed three therapeutic vulnerabilities. First, CALR mutations drive BET and HDAC inhibitor sensitivity, particularly in the absence of high MAPK-Ras pathway protein levels. Second, an MCM complex-high proliferative signature corresponds to advanced disease and sensitivity to drugs targeting pro-survival signaling and DNA replication. Third, homozygous CALR mutations result in high ER stress, responding to ER stressors and UPR inhibition. Overall, our integrated analyses provide a molecularly-motivated roadmap for individualized MF patient treatment.
Project description:Myelofibrosis is a severe myeloproliferative neoplasm characterised by increased numbers of abnormal bone marrow megakaryocytes that induce fibrosis, destroying the hematopoietic microenvironment. To determine the cellular and molecular basis for aberrant megakaryopoiesis in myelofibrosis, we performed single-cell transcriptome profiling of 135,929 CD34+Lineage- hematopoietic stem/progenitor cells (HSPCs), single-cell proteomics, genomics and functional assays. We identified a bias towards megakaryocyte differentiation apparent from early multipotent stem cells in myelofibrosis and associated aberrant molecular signatures. A sub-fraction of myelofibrosis megakaryocyte progenitors (MkP) were transcriptionally similar to healthy-donor MkP but the majority were disease-specific, with distinct populations expressing fibrosis- and proliferation-associated genes. Mutant-clone HSPCs showed increased expression of megakaryocyte-associated genes compared to wild-type HSPCs, and we provide early validation of G6B as a potential immunotherapy target. Our study paves the way for selective targeting of the myelofibrosis clone and illustrates the power of single-cell multi-omics to discover tumor-specific therapeutic targets and mediators of tissue fibrosis.
Project description:Mesenchymal stromal cells are a critical component of the bone marrow hematopoietic stem cell niche. In myelofibrosis, these cells are the major source of fibrosis in the bone marrow. We performed gene expression analysis using microarrays to systematically elucidate the mechanisms leading to fibrogenic conversion of these cells.
Project description:Primary myelofibrosis (PMF) is a clonal myeloproliferative neoplasm whose severity and treatment complexity is attributed to the presence of bone marrow (BM) fibrosis and alterations of stroma impairing the production of normal blood cells. Despite the recently discovered mutations including the JAK2V617F mutation in about half of patients, the primitive event responsible for the clonal proliferation is still unknown. In the highly inflammatory context of PMF, the presence of fibrosis associated with a neoangiogenesis and an osteosclerosis concomitant to the myeloproliferation and to the increase number of circulating hematopoietic progenitors suggests that the crosstalk between hematopoietic and stromal cells is deregulated in the PMF BM microenvironment. Within these niches, Mesenchymal Stromal Cells (BM-MSC) play a supportive role in the production of growth factors and extracellular matrix which regulate the proliferation, differentiation, adhesion and migration of hematopoietic progenitors. A transcriptome analysis of BM-MSC in PMF patients will help to characterize their molecular alterations and to understand their involvement in the hematopoietic progenitor deregulation that features PMF. Primary Myelofibrosis, mesenchymal stroma cells, bone marrow, myeloproliferative disorders Transcriptome analysis was performed on BM-MSC amplified in vitro after 3 to 5 passages. Agilent Whole Human Genome Oligo Microarrays were used to compare expression profiling of BM-MSC from PMF patients and healthy donors.