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Medulloblastoma and glioblastoma are the most common malignant primary brain tumors in children and adults, respectively. Tumor-associated macrophages and microglia are key non-cancerous cell types in these tumors. These cells interact with CD24, a so called “don’t eat me signal” expressed on tumor cells, through Siglec-10, a receptor that contributes to immune evasion by promoting an immunosuppressive environment. The CD24/Siglec-10 interaction in context of malignant brain tumors has been scarcely studied.In silico analyses reveal that CD24 gene expression correlates with specific gene signatures associated with prognosis in both medulloblastoma and glioblastoma. In both human- and mouse brain tumors, Siglec-10 + cells co-express the microglia-associated molecule TREM2. Treatment with mitoxantrone as an immunogenic cell-death-inducing cytostatic agent led to a dose-dependent reduction in cell viability and cell surface CD24 levels in both murine and human brain tumor cell cultures. Intratumoral mitoxantrone administration in a murine CD24-high glioma model extended survival, decreased tumor size, reduced Siglec-10 + /TREM2 + cell populations, and increased anti-tumor CD8 + cells. These findings suggest that targeting the CD24/Siglec-10 axis with mitoxantrone may modulate the tumor microenvironment and enhance anti-tumor immunity.  Keywords : CD24, Siglec-10, Mitoxantrone, Malignant brain tumor, Immunotherapy.

Individual vibrational band spectroscopy presents an opportunity to examine exoplanet atmospheres in detail, by distinguishing where the vibrational state populations of molecules differ from the current assumption of a Boltzmann distribution. Here, retrieving vibrational bands of OH in exoplanet atmospheres is explored using the hot Jupiter WASP-33b as an example. We simulate low-resolution spectroscopic data for observations with the JWST's NIRSpec instrument and use high-resolution observational data obtained from the Subaru InfraRed Doppler instrument (IRD). Vibrational band–specific OH cross-section sets are constructed and used in retrievals on the (simulated) low- and (real) high-resolution data. Low-resolution observations are simulated for two WASP-33b emission scenarios: under the assumption of local thermal equilibrium (LTE) and with a toy non-LTE model for vibrational excitation of selected bands. We show that mixing ratios for individual bands can be retrieved with sufficient precision to allow the vibrational population distributions of the forward models to be reconstructed. A fit for the Boltzmann distribution in the LTE case shows that the vibrational temperature is recoverable in this manner. For high-resolution, cross-correlation applications, we apply the individual vibrational band analysis to an IRD spectrum of WASP-33b, applying an “unpeeling” technique. Individual detection significances for the two strongest bands are shown to be in line with Boltzmann-distributed vibrational state populations, consistent with the effective temperature of the WASP-33b atmosphere reported previously. We show the viability of this approach for analyzing the individual vibrational state populations behind observed and simulated spectra, including reconstructing state population distributions.

Individual vibrational band spectroscopy presents an opportunity to examine exoplanet atmospheres in detail by distinguishing where the vibrational state populations of molecules differ from the current assumption of a Boltzmann distribution. Here, retrieving vibrational bands of OH in exoplanet atmospheres is explored using the hot Jupiter WASP-33b as an example. We simulate low-resolution spectroscopic data for observations with the JWST's NIRSpec instrument and use high resolution observational data obtained from the Subaru InfraRed Doppler instrument (IRD). Vibrational band-specific OH cross section sets are constructed and used in retrievals on the (simulated) low and (real) high resolution data. Low resolution observations are simulated for two WASP-33b emission scenarios: under the assumption of local thermal equilibrium (LTE) and a toy non-LTE model for vibrational excitation of selected bands. We show that mixing ratios for individual bands can be retrieved with sufficient precision to allow the vibrational population distributions of the forward models to be reconstructed. A simple fit for the Boltzmann distribution in the LTE case shows that the vibrational temperature is recoverable in this manner. For high resolution, cross-correlation applications, we apply the individual vibrational band analysis to an IRD spectrum of WASP-33b, applying an 'un-peeling' technique. Individual detection significances for the two strongest bands are shown to be in line with Boltzmann distributed vibrational state populations consistent with the effective temperature of the WASP-33b atmosphere reported previously. We show the viability of this approach for analysing the individual vibrational state populations behind observed and simulated spectra including reconstructing state population distributions.