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Mazzacurati, L.

Publications and source records attributed to Mazzacurati, L..

2 recordsLinked to original sources

Modulation of the sensitivity to ruxolitinib-mediated JAK2 inhibition by mutationally activated SHP2 exhibits cell context dependency in pre-clinical models of myeloproliferative neoplasms

Classic Philadelphia chromosome-negative myeloproliferative neoplasms (MPNs) are hematopoietic stem cell cancers that result in aberrant trilineage myeloid cell proliferation, bone marrow fibrosis, and increased risk of acute myeloid leukemia. MPNs are driven by deregulated activity of the JAK2 kinase, induced by mutations in the JAK2, CALR, and MPL genes, but approved JAK2 inhibitors primarily offer palliative effects, not remission. Cell models that demonstrate MPN oncogene driven JAK2 activity requisite for cell proliferation are important research tools for the development of anti-JAK2 and anti-JAK2 signaling therapeutics for MPN. SET2 and UKE1 cells are two such cell lines, as they express JAK2-V617F, one of the major driving mutations of MPN, and require signaling by JAK2 for their growth and viability. These cell lines are AML cell lines that were derived from patients with a previous diagnosis of MPN before they developed AML. Our previous studies demonstrated that the SHP2 phosphatase may be a therapeutic target for MPNs, and here we report our identification and characterization of an activating point mutation of SHP2 (encoded by the PTPN11 gene), SHP2-F71L, in UKE1 cells. Given SHP2 functions downstream of JAK2 and mediates JAK2 activation of RAS, we set out to determine the effect of mutational activation of SHP2 on the sensitivity of MPN model cells to JAK2 inhibition. We used CRISPR-Cas9 to edit this mutation in UKE1 cells back to wildtype such that these cells only express wildtype SHP2. These cells exhibited enhanced sensitivity to SHP2 inhibition and, notably, enhanced sensitivity to the JAK2 inhibitor ruxolitinib. This altered sensitivity was reverted by exogenous expression of SHP2-F71L but not SHP2-WT, indicating expression of an activated SHP2 may alter sensitivity to JAK2 inhibition in MPN model cells. We further explored this by genetically editing SET2 cells to express SHP2-F71L but observed no change in SHP2 inhibitor or JAK2 inhibitor sensitivity in cells with a SHP2-F71L encoding allele of PTPN11. Using the cytokine dependent BaF3 cell line where deregulation of JAK2 signaling by expression of JAK2-V617F induces cytokine independent transformation that remains dependent on this JAK2 signaling, we observed no effect of the expression of an activated SHP2 mutant on the sensitivity of the growth and viability of these cells to ruxolitinib. Recent studies have demonstrated activation of RAS signaling can antagonize JAK2 inhibition in pre-clinical MPN models, and the presence of RAS pathway mutations associates with patients whose disease advances on ruxolitinib therapy. Such mutations include activating mutations in PTPN11, as SHP2 is an upstream activator of RAS signaling. Our results suggest that activating PTPN11 mutations have the potential to desensitize the effects of JAK2 inhibition therapy in patients undergoing therapy and may be dependent on unknown cell and molecular profile contexts.

cancer biology↗

Controlling treatment toxicity in ovarian cancer to prime the patient for tumor extinction therapy

High-grade serous ovarian cancer (HGSOC) remains a major clinical challenge. In particular among those patients with homologous recombination (HR)-proficient tumors (>50%), most eventually succumb to their disease due to high recurrence rates, acquired resistance, and cumulative toxicity. This report summarizes work from the 12th IMO Workshop in which we explored an alternative "extinction therapy" strategy for frontline treatment of HGSOC. Inspired by ecological principles, this multi-strike approach aims to eradicate tumors not through a singular "magic bullet" but through a series of therapies after standard frontline treatment when the tumor is still, and perhaps most, vulnerable. We present a framework leveraging mathematical modeling (MM) to develop personalized multi-strike protocols for HGSOC. Key contributions include: 1) An "IMOme" score using liquid biopsy data to assess patient-specific hematopoietic toxicity risk, guiding the timing and selection of subsequent therapies, 2) MM strategies to design effective lowdose combinations of targeted agents to achieve synthetic lethality while managing toxicity, and 3) A MM framework to analyze the interplay between chemotherapy, gut microbiome toxicity, and immunotherapy, demonstrating how mitigating microbiome damage could enhance immune response. Overall, the computational approaches presented herein aim to support the design of personalized, multi-strike regimens in the frontline setting that proactively target tumor extinction while managing toxicity, ultimately seeking to deliver cures for patients with HGSOC.

cancer biology↗