Revisiting Circulating Extracellular Matrix Fragments as Disease Markers in Myelofibrosis and Related Neoplasms

Nanostructured mesoporous silica carriers for platinum-based conjugates with anti-inflammatory agents

This review discusses the relationship between inflammation and cancer initiation and progression, which has prompted research into anti-inflammatory approaches for cancer prevention and treatment. Specifically, it focuses on the use of inflammation-reducing agents to enhance the effectiveness of tumor treatment methods. These agents are combined with platinum(II)-based antitumor drugs to create multifunctional platinum(IV) prodrugs, allowing for simultaneous delivery to tumor cells in a specific ratio. Once inside the cells and subjected to intracellular reduction, both components can act in parallel through distinct pathways. Motivated by the objective of reducing the systemic toxicity associated with contemporary chemotherapy, and with the aim of leveraging the passive enhanced permeability and retention effect exhibited by nanostructured materials to improve their accumulation within tumor tissues, the platinum(IV) complexes have been efficiently loaded into mesoporous silica SBA-15 material. The resulting nanostructured materials are capable of providing controlled release of the conjugates when subjected to simulated plasma conditions. This feature suggests the potential for extended circulation within the body in vivo, with minimal premature release of the drug before reaching the intended target site. The primary emphasis of this review is on research that integrates these two approaches to develop chemotherapeutic treatments that are both more efficient and less harmful.

Quantitative interpretation of bone marrow biopsies in MPN-What's the point in a molecular age?

The diagnosis of myeloproliferative neoplasms (MPN) requires the integration of clinical, morphological, genetic and immunophenotypic findings. Recently, there has been a transformation in our understanding of the cellular and molecular mechanisms underlying disease initiation and progression in MPN. This has been accompanied by the widespread application of high-resolution quantitative molecular techniques. By contrast, microscopic interpretation of bone marrow biopsies by haematologists/haematopathologists remains subjective and qualitative. However, advances in tissue image analysis and artificial intelligence (AI) promise to transform haematopathology. Pioneering studies in bone marrow image analysis offer to refine our understanding of the boundaries between reactive samples and MPN subtypes and better capture the morphological correlates of high-risk disease. They also demonstrate potential to improve the evaluation of current and novel therapeutics for MPN and other blood cancers. With increased therapeutic targeting of diverse molecular, cellular and extra-cellular components of the marrow, these approaches can address the unmet need for improved objective and quantitative measures of disease modification in the context of clinical trials. This review focuses on the state-of-the-art in image analysis/AI of bone marrow tissue, with an emphasis on its potential to complement and inform future clinical studies and research in MPN.