Publications by authors named "A Kanapari"

Background: Patients undergoing Pectus Excavatum repair with the minimally invasive approach frequently report severe postoperative pain. The goal of the study is to determine the superiority of cryoanalgesia compared to standard of care for return to normal quality of life.

Methods: A randomized, active controlled, parallel groups trial (category IIb medical device) was designed for patients undergoing pectus excavatum repair.

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Multiple myeloma (MM) is a plasma cell (PC) disorder characterized by skeletal involvement at the time of diagnosis. Recently, cell-free DNA (cfDNA) has been proven to recapitulate the heterogeneity of bone marrow (BM) disease. Our aim was to evaluate the prognostic role of cfDNA at diagnosis according to disease distribution, and to investigate the role of the MM microenvironment inflammatory state in supplying the release of cfDNA.

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Introduction: MGRS are new rare clinical entities, whose recognition and optimal management is evolving.

Methods: To implement real-life data, we retrospectively analysed a multicentre cohort of 60 patients with renal biopsy-proven MGRS receiving mainly novel treatments (between 2006 and 2021) in eight Italian centres. Based on renal biopsy, patients were divided into two subgroups: AL amyloidosis (70%, n = 42) and other-MGRS (30%, n = 18).

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Article Synopsis
  • Clonal hematopoiesis of indeterminate potential (CHIP) is when stem cells gain mutations that enhance their fitness, leading to increased expansion, and it is commonly found in multiple myeloma (MM) with worse patient outcomes.
  • High-throughput single-cell DNA sequencing of CD34+ cells from MM patients showed that 50% had CHIP mutations at the time of autologous stem cell transplantation (ASCT), with specific genes frequently mutated, including DNMT3A and SF3B1.
  • Longitudinal analysis revealed that mutant clones with higher fitness tend to be favored over time, and CHIP-positive patients appeared to respond less effectively to treatments compared to those without CHIP.
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The complexity of Multiple Myeloma (MM) is driven by several genomic aberrations, interacting with disease-related and/or -unrelated factors and conditioning patients' clinical outcome. Patient's prognosis is hardly predictable, as commonly employed MM risk models do not precisely partition high- from low-risk patients, preventing the reliable recognition of early relapsing/refractory patients. By a dimensionality reduction approach, here we dissect the genomic landscape of a large cohort of newly diagnosed MM patients, modelling all the possible interactions between any MM chromosomal alterations.

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