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Ranti, D.

Publications and source records attributed to Ranti, D..

3 recordsLinked to original sources

IL-15 synergizes with CD40 agonist antibodies to induce durable immunity against bladder cancer

CD40 is a central co-stimulatory receptor implicated in the development of productive anti-tumor immune responses across multiple cancers, including bladder cancer. Despite strong preclinical rationale, systemic administration of therapeutic agonistic antibodies targeting the CD40 pathway have demonstrated dose limiting toxicities with minimal clinical activity to date, emphasizing an important need for optimized CD40-targeted approaches, including rational combination therapy strategies. Here, we describe an important role for the endogenous IL-15 pathway in contributing to the therapeutic activity of CD40 agonism in orthotopic bladder tumors, with upregulation of trans-presented IL-15/IL-15R surface complexes, particularly by cross-presenting cDC1s, and associated enrichment of activated CD8 T cells within the bladder tumor microenvironment. In bladder cancer patient samples, we identify DCs as the primary source of IL-15, however, they lack high levels of IL-15R at baseline. Using humanized immunocompetent orthotopic bladder tumor models, we demonstrate the ability to therapeutically augment this interaction through combined treatment with anti-CD40 agonist antibodies and exogenous IL-15, including the fully-human Fc-optimized antibody 2141-V11 currently in clinical development for the treatment of bladder cancer. Combination therapy enhances the crosstalk between Batf3-dependent cDC1s and CD8 T cells, driving robust primary anti-tumor activity and further stimulating long-term systemic anti-tumor memory responses associated with circulating memory-phenotype T and NK cell populations. Collectively, these data reveal an important role for IL-15 in mediating anti-tumor CD40 agonist responses in bladder cancer and provide key proof-of-concept for combined use of Fc-optimized anti-CD40 agonist antibodies and agents targeting the IL-15 pathway. These data support expansion of ongoing clinical studies evaluating anti-CD40 agonist antibodies and IL-15-based approaches to evaluate combinations of these promising therapeutics for the treatment of patients with bladder cancer.

immunology↗

Elevated HLA-E and NKG2A as a consequence of chronic immune activation defines resistance to M. bovis BCG immunotherapy in Non-Muscle-Invasive Bladder Cancer

Mycobacterium bovis Bacillus Calmette-Guerin (BCG), the first-line treatment for non-muscle invasive bladder cancer (NMIBC), promotes the production of inflammatory cytokines, particularly interferon (IFN)-{gamma}. Prolonged inflammation and IFN-{gamma} exposure are known to cause an adaptive immune response, enabling immune escape and proliferation by tumor cells. We investigated HLA-E and NKG2A, a novel T and NK cell checkpoint pathway, as a driver of adaptive resistance in BCG unresponsive NMIBC. We observed ubiquitous inflammation in all patients after BCG immunotherapy, regardless of recurrence status. IFN-{gamma} was shown to drive tumor expression of HLA-E and PD-L1. Further, NKG2A-expressing NK and CD8 T cells were enriched in BCG unresponsive tumors and with enhanced capacity for cytolytic functions. Strikingly, in situ spatial analyses revealed that HLA-EHIGH tumors are activated to recruit NK and T cells via chemokine production, potentially sparing HLA-ELOW tumors that would otherwise be susceptible to lysis. Finally, blood-derived NK cells retained anti-tumor functions at the time of tumor recurrence. These data support combined NKG2A and PD-L1 blockade for BCG unresponsive disease.

immunology↗

Perivascular Space Semi-Automatic Segmentation (PVSSAS): A Tool for Segmenting, Viewing and Editing Perivascular Spaces

ObjectiveIn this study, we validate and describe a user-friendly tool for PVS tracing that uses a Frangi-based detection algorithm; which will be made freely available to aid in future clinical and research applications. All PVS detected by the semi-automated method had a match with the manual dataset and 94% of the manual PVS had a match within the semi-automated dataset. MethodsWe deployed a Frangi-based filter using a pre-existing Matlab toolbox. The PVSSAS tool pre-processes the images and is optimized for maximum effectiveness in this application. A user-friendly GUI was developed to aid the speed and ease in marking large numbers of PVS across the entire brain at once. ResultsUsing a tolerance of 0.7 cm, 83% of all PVSs detected by the semi-automated method had a match with the manual dataset and 94% of the manual PVS had a match within the semi-automated dataset. As shown in figure 3, there was generally excellent agreement between the manual and semi-automated markings in any given slice. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=80 SRC="FIGDIR/small/385336v1_fig3.gif" ALT="Figure 3"> View larger version (19K): org.highwire.dtl.DTLVardef@35f651org.highwire.dtl.DTLVardef@be6b08org.highwire.dtl.DTLVardef@164ec0aorg.highwire.dtl.DTLVardef@c48643_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 3&4C_FLOATNO Rendered 3-D view of total PVS found across all slices for one patient. C_FIG SignificanceThe primary benefit of PVSSAS will be time saved marking PVS. Clinical MRI use is likely to become more widespread in the diagnosis, treatment, and study of MS and other degenerative neurological conditions in the coming years. Tools like the one presented here will be invaluable in ensuring that the tracing and quantitative analysis of these PVS does not act as a bottle neck to treatment and further research.

neuroscience↗