Publications by authors named "Lara Tavernari"

Article Synopsis
  • JAK2V617F is the most common genetic mutation in Philadelphia-negative chronic Myeloproliferative Neoplasms (MPNs), and researchers believe abnormalities in Chromosome 9 may influence the disease in patients with this mutation.
  • A specific group of MPN patients, called +9p patients, were found to have three copies of the JAK2 gene and nearby genes, leading to increased production of the immunosuppressive PD-L1 protein.
  • The study showed that these +9p patients have a distinct cancer profile, characterized by greater stem cell-like properties and an immune response that results in exhausted T cells, highlighting a complex interaction between +9p and JAK2V617F mutations.
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Myeloproliferative neoplasms represent a group of clonal hematopoietic disorders of which myelofibrosis (MF) is the most aggressive. In the context of myeloid neoplasms, there is a growing recognition of the dysregulation of immune response and T-cell function as significant contributors to disease progression and immune evasion. We investigated cytotoxic T-cell exhaustion in MF to restore immune response against malignant cells.

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Clonal myeloproliferation and development of bone marrow (BM) fibrosis are the major pathogenetic events in myelofibrosis (MF). The identification of novel antifibrotic strategies is of utmost importance since the effectiveness of current therapies in reverting BM fibrosis is debated. We previously demonstrated that osteopontin (OPN) has a profibrotic role in MF by promoting mesenchymal stromal cells proliferation and collagen production.

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Myelofibrosis (MF) is the Philadelphia-negative myeloproliferative neoplasm characterized by the worst prognosis and no response to conventional therapy. Driver mutations in and impact on JAK-STAT pathway activation but also on the production of reactive oxygen species (ROS). ROS play a pivotal role in inflammation-induced oxidative damage to cellular components including DNA, therefore leading to greater genomic instability and promoting cell transformation.

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Long non-coding RNAs (lncRNAs) have been recently described as key mediators in the development of hematological malignancies. In the last years, circulating lncRNAs have been proposed as a new class of non-invasive biomarkers for cancer diagnosis and prognosis and to predict treatment response. The present study is aimed to investigate the potential of circulating lncRNAs as non-invasive prognostic biomarkers in myelofibrosis (MF), the most severe among Philadelphia-negative myeloproliferative neoplasms.

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Article Synopsis
  • Myelofibrosis (MF) is a blood disorder within the group of Philadelphia-negative myeloproliferative neoplasms, which can either occur as primary (PMF) or secondary (SMF) types due to other conditions like polycythemia vera (PV) or essential thrombocythemia (ET).
  • Recent research focused on analyzing gene expression profiles (GEPs) in granulocytes from 114 MF patients, revealing 201 gene transcripts linked to survival risk and patient outcomes.
  • The study found that high-risk patients identified by these gene signatures experienced worse overall survival and leukemia-free survival, highlighting the potential of GEPs as a significant tool for better prognostic assessment in clinical settings.
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Disease progression of myeloproliferative neoplasms is the result of increased genomic complexity. Since the ability to predict disease evolution is crucial for clinical decisions, we studied single-cell genomics and transcriptomics of CD34-positive cells from a primary myelofibrosis (PMF) patient who progressed to acute myeloid leukemia (AML) while receiving Ruxolitinib. Single-cell genomics allowed the reconstruction of clonal hierarchy and demonstrated that TET2 was the first mutated gene while FLT3 was the last one.

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Single-cell genomics has become the method of choice for the study of heterogeneous cell populations and represents an elective application in defining the architecture and clonal evolution in hematological neoplasms. Reconstructing the clonal evolution of a neoplastic population therefore represents the main way to understand more deeply the pathogenesis of the neoplasm, but it is also a potential tool to understand the evolution of the tumor population with respect to its response to therapy. Pre-analytical phase for single-cell genomics analysis is crucial to obtain a cell population suitable for single-cell sorting, and whole genome amplification is required to obtain the necessary amount of DNA from a single cell in order to proceed with sequencing.

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