Biology subjects

Poleszak, K.

Publications and source records attributed to Poleszak, K..

4 recordsLinked to original sources

bioRxiv2024

Integration of spatial transcriptomics with immunofluorescence staining reveals spatial heterogeneity and plasticity of astrocytes in experimental glioblastomas

Astrocytes comprise [~]50% of all brain cells and present distinct morphological, molecular and functional properties in different brain regions. In glioblastoma (GBM), an aggressive primary brain tumour, tumour-associated astrocytes (TAAs) become activated and exhibit different transcriptomic profiles, morphology and functions supporting disease progression. Heterogeneity and specific roles of TAAs within various regions of tumours are poorly known. Advancements of single-cell and spatial transcriptomics allow to profile tumours at unprecedented resolution revealing cell phenotypes, hidden functionalities and spatial architecture in disease-specific context. We combined spatial transcriptomics and multiple immunofluorescent staining to visualize TAAs heterogeneity and location of various subpopulations in intracranial murine gliomas. Using distinct gene expression profiles, we identified subtypes of TAAs with distinct localization and inferred their specialized functionalities. Gene signatures associated with TAAs reflected their reprograming in the tumour microenvironment (TME), revealed their multiple roles and potential contributing factors shaping the local milieu. Using spatial correlation analysis of the spots, we inferred the interactome of Slc1a2 (encoding a glutamate transporter) with the other markers of TAAs based on segregated areas of the tumour. The designer RGD peptide blocking tumour-microglia communications, alters the spatial distribution of TAAs in experimental gliomas providing insights into potential mechanisms. Spatial transcriptomics combined with multiple staining unveils multiple functional phenotypes of TAAs and interactions within TME. It shows their distinct morphology and unveils different roles in various regions of the tumour. We demonstrate the glioma-induced heterogeneity of TAAs and their adaption to the pharmacologically-induced modification of the immunosuppressive TME.

neuroscience↗

bioRxiv2024

Integrin blocking peptide reverses immunosuppression in experimental gliomas and improves anti-PD-1 therapy outcome

Immune checkpoint inhibitors (ICI) presented clinical benefits in many cancer patients but invariably fail in glioblastoma (GBM), the most common and deadly primary brain tumor. Lack of ICI efficacy in GBM is attributed to the accumulation of immunosuppressive myeloid cells that create the "cold" tumor microenvironment (TME) impeding infiltration and activation of effector T cells. We developed a designer RGD peptide that hindered glioma-instigated, integrin-mediated pro-tumoral reprogramming of myeloid cells and blocked microglia-dependent invasion of human and mouse glioma cells in co-cultures in vitro. Intratumorally-delivered RGD alone did not reduce glioma growth in syngeneic mice but prevented the emergence of immunosuppressive myeloid cells and led to peritumoral blood vessels normalization. Furthermore, combining RGD with immunotherapy using PD-1 blockade reduced tumor growth, led to upsurge of proliferating, interferon-{gamma} producing CD8+T cells and depleted regulatory T cells. Transcriptomic profiles of myeloid cells were altered by the combined treatment, consistently with the restored "hot" inflammatory TME and boosted immunotherapy responses. RGD modified the phenotypes of myeloid cells in human gliomas in nude mice. Thus, combining the integrin blockade with ICI reinvigorates antitumor immunity and paves the way to improve immunotherapy outcomes in GBM.

cancer biology↗

bioRxiv2022

Regulatory networks driving expression of genes critical for glioblastoma are controlled by the transcription factor c-Jun and the pre-existing epigenetic modifications.

BackgroundGlioblastoma (GBM, WHO grade IV) is an aggressive, primary brain tumor. Despite gross surgery and forceful radio- and chemotherapy, survival of GBM patients did not improve over decades. Several studies reported transcription deregulation in GBMs but regulatory mechanisms driving overexpression of GBM-specific genes remain largely unknown. Transcription in open chromatin regions is directed by transcription factors (TFs) that bind to specific motifs, recruit co-activators/repressors and the transcriptional machinery. Identification of GBM-related TFs-gene regulatory networks may reveal new and targetable mechanisms of gliomagenesis. ResultsWe predicted TFs-regulated networks in GBMs in silico and intersected them with putative TF binding sites identified in the accessible chromatin in human glioma cells and GBM patient samples. The Cancer Genome Atlas and Glioma Atlas datasets (DNA methylation, H3K27 acetylation, transcriptomic profiles) were explored to elucidate TFs-gene regulatory networks and effects of the epigenetic background. In contrast to the majority of tumors, c-Jun expression was higher in GBMs than in normal brain and c-Jun binding sites were found in multiple genes overexpressed in GBMs such as VIM, FOSL2 or UPP1. Binding of c-Jun to the VIM gene promoter is stronger in GBM cells than in cells derived from benign glioma as evidenced by gel shift and supershift assays. Regulatory regions of a majority of the c-Jun targets have distinct DNA methylation in GBMs suggesting the contribution of DNA methylation to the c-Jun-dependent regulation. ConclusionsWe identified distinct TFs-gene networks in GBMs compared to benign gliomas, a predominant role of c-Jun in controlling genes driving gliomagenesis and a modulatory role of DNA methylation.

cancer biology↗

bioRxiv2020

TOP2A substitution enhances topoisomerase activity and causes transcriptional dysfunction in glioblastoma patients

BackgroundHigh grade gliomas (HGGs) are aggressive, primary brain tumors with poor clinical outcomes. We aim to better understand glioma pathobiology and find potential therapeutic susceptibilities. MethodsWe designed a custom panel of 664 cancer- and epigenetics-related genes, and employed targeted next generation sequencing to study the genomic landscape of somatic and germline variants in 182 gliomas of different malignancy grades. mRNA sequencing was performed to detect transcriptomic abnormalities. ResultsIn addition to known alterations in TP53, IDH1, ATRX, EGFR genes found in this cohort, we identified a novel, recurrent mutation in the TOP2A gene coding for Topoisomerase 2A occurring only in glioblastomas (GBM, WHO grade IV gliomas). Biochemical assays with recombinant proteins demonstrated stronger DNA binding and DNA supercoil relaxation activities of the variant proteins. GBM patients carrying the mutated TOP2A had shorter overall survival than those with the wild type TOP2A. Computational analyses of transcriptomic data showed that GBMs with the mutated TOP2A have different transcriptomic patterns suggesting higher transcriptomic activity. ConclusionWe identified a novel TOP2A E948Q variant that strongly binds to DNA and is more active than the wild type protein. Our findings suggest that the discovered TOP2A variant is gain-of-function mutation. Key pointsO_LIThe most frequent genetic alterations in high grade gliomas are reported. C_LIO_LIA new mutation in the TOP2A gene was found in 4 patients from Polish population. C_LIO_LIA E948Q substitution changes TOP2A activities towards DNA. C_LIO_LIThe recurrent TOP2A variant is a gain-of-function mutation. C_LI Importance of the studyGlioblastoma is a deadly disease. Despite recent advancements in genomics and innovative targeted therapies, glioblastoma therapy has not shown improvements. Insights into glioblastoma biology may improve diagnosis, prognosis, and treatment prediction, directing to a better outcome. We performed targeted sequencing of 664 cancer genes, and identified a new variant of the TOP2A gene encoding topoisomerase 2A in glioblastomas. The TOP2A protein variant shows a higher affinity towards DNA and causes transcriptional alterations, suggesting a higher de novo transcription rate.

cancer biology↗