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Molldrem, J. J.

Publications and source records attributed to Molldrem, J. J..

5 recordsLinked to original sources

2-Methoxyestradiol Treatment Prevents Graft-versus-Host Disease While Preserving Graft-versus-Leukemia Effect in Mice

2-Methoxyestradiol (2ME2, Panzem) is an endogenous metabolite that is well-tolerated in phase I/II clinical trials for variety of tumors. The plasma levels of 2ME2 may increase up to 1,000-fold during pregnancy and correlate temporally with the remission of rheumatoid arthritis (RA) and multiple sclerosis (MS) symptoms. The anti-inflammatory properties of 2ME2 were recently established in the mouse model of MS, and the mechanism of action is the ability of 2ME2 to inhibit lymphocyte proliferation, cytokine production and T cell polarization. Herein, we have demonstrated that 2ME2 treatment can significantly reduce the mortality and morbidity associated with graft-versus-host disease (GVHD). There is a lower number of donor-derived CD4+ and CD8+ T cells in the peripheral lymph node and Peyers patches of 2ME2-treated mice compared to control recipients. Moreover, 2ME2 exposure can significantly decrease the production of IFN-{gamma} and IL-2 in donor-derived CD4+ T cells and serum in GVHD mice. However, 2ME2 treatment has no effect on the differentiation of CD8+ effector T cells in vivo and their cytolytic activity remains intact. Furthermore, 2ME2 therapy is effective in preventing GVHD while preserving graft-versus leukemia (GVL) activity in mice. Our findings indicate that 2ME2 could be a novel and effective treatment for GVHD patients.

immunology↗

Copper Sulfide Nanoparticle-Mediated Photothermolysis Induces Immunogenic Cell Death in Ovarian Cancer Cells

Immunotherapy has only limited efficacy against ovarian cancer because of dysfunctional T cells in an immunosuppressive tumor microenvironment. Selective photothermolysis is a technique in which short pulsed laser is used to ablate tissue in targeted regions in a precise spatiotemporally controlled manner. This technique allows targeted tissue ablation without damage to surrounding tissue. In the current study, we demonstrated that ovarian cancer cells treated with photothermolysis mediated by near-infrared-absorbing CuS nanoparticles and 15-ns laser pulses were ingested by human monocyte-derived dendritic cells (MoDCs) more efficiently than were ovarian cancer cells treated with ionizing radiation. Moreover, ingestion of ovarian cancer cells treated with CuS NP-mediated photothermolysis promoted MoDC activation. Immature MoDCs that had been exposed to photothermolysis-treated cancer cells caused greater clonal expansion of co-cultured human CD4+ and CD8+ T cells than did immature MoDCs that had been exposed to ionizing radiation-treated tumor cells. These data indicate that photothermolysis may be used to selectively target and destroy tumor cells and cause them to release antigens and danger signals, which can be recognized by DCs to activate T cells.

immunology↗

Biophysical modeling for accurate T cell specificity prediction of viral and tumor antigens

Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immunology, with broad implications for vaccine design, optimal immunotherapy, and improved management of autoimmune diseases. However, diversity in peptide antigens and TCR sequences at the level of individual patient repertoires remains a formidable computational challenge. Here, we develop a joint experimental and computational approach for predicting the antigen specificity of clinically-derived TCR sequences. Our model is trained on a combination of experimentally pre-identified and in silico-predicted TCR-pMHC structures using AlphaFold3. We apply our structural model in the clinical setting of hematopoietic stem cell transplant (HSCT) and demonstrate that our model is able to effectively discern the specificity of previously unseen donor and patient-derived TCR sequences against tumor associated and viral antigens. Model performance was further enhanced through the integration of sequence-based clustering and structurally diverse training templates. Our results highlight the predictive capabilities of structurally guided machine learning frameworks, trained on a minority test dataset, for antigen specificity prediction on unseen TCR sequences and their potential impact on a wide range of immunological applications.

immunology↗

Evolution of chronic lymphocytic leukemia after allogeneic stem cell transplant

Allogeneic stem cell transplant (alloSCT) for patients with relapsed/refractory chronic lymphocytic leukemia (CLL) can result in cure in some patients. Analogous to chemotherapy and targeted therapy, we hypothesized that allogeneic cellular immunotherapies, including alloSCT and donor lymphocyte infusion (DLI), would impact malignant evolution through the application of selective immunologic pressure with reciprocal changes in the T cell compartment. We tested a cohort of 24 patients treated with HLA-matched alloSCT +/- DLI, two mediators of the graft versus leukemia (GVL) effect. Comparison of pre-alloSCT samples revealed that a key difference between responders (n=13) and non-responders (n=11) is the cellularity of leukemic cells. We further mapped mutational trajectories of tumor cells by whole exome sequencing (WES) of sort-purified CLL in 11 post-transplant relapsed patients and found evidence of subclonal leukemic evolution in 8/11 patients after nonmyeloablative human leukocyte antigen (HLA)-matched alloSCT. Different patterns of CLL evolution were observed, and these changes included putative CLL drivers in every case. To investigate the presence of immune-related variants in patients, we collected 19 T cell co-culture CRISPR datasets and identified the top positive and negative regulators of cancer cells response to T-cell-dependent killing. We found that most mutations linked to T-cell killing emerged after allo-SCT treatment, suggesting that selective pressures from the GVL effect may drive the evolution of these mutations. Together, these data identify cellular homogeneity as a key biomarker for susceptibility to GVL-driven immunity in CLL and illustrate how the leukemic cells further evolve to evade immunosurveillance. SIGNIFICANCEThe impact of allogeneic stem cell transplant (alloSCT) on subclonal leukemia evolution remains poorly understood. By performing whole exome sequencing (WES) on pre- and post-alloSCT patient samples, we reveal different patterns of CLL evolution and potential immune-related driver genes influencing CLL relapse and refractory disease post-alloSCT.

cancer biology↗

Development of Fully Human, Bispecific Antibodies that Effectively Block Omicron Variant Pseudovirus Infections

The emergence of highly immune invasive and transmissible variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has decreased the effectiveness of existing vaccines. It is, therefore, critical to develop effective and safe therapeutics for SARS-CoV-2 infections, especially for the most vulnerable and immunocompromised patients. Neutralizing antibodies have been shown to be successful at preventing severe disease from early SARS-CoV-2 strains, although their efficacy has diminished with the emergence of new variants. Here, we aim to develop fully human and broadly neutralizing monoclonal (mAb) and bispecific (BsAb) antibodies against SARS-CoV-2 and its variants. Specifically, we first identified two antibodies from human transgenic mice that bind to the receptor binding domain (RBD) of the SARS-CoV-2 spike protein and are capable of neutralizing SARS-CoV-2 and variants of concern with high to moderate affinity. Two non-competing clones with the highest affinity and functional blocking of ACE2 binding were then selected to be engineered into two BsAbs, which were then demonstrated to have relatively improved affinity, ACE2 blocking ability, and pseudovirus inhibition against several variants, including Omicron (B.1.1.529). Our findings provide one mAb candidate and two bsAb candidates for consideration of further clinical development and suggest that the bispecific format may be more effective than mAbs for SARS-CoV-2 treatment.

biochemistry↗