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  1. Artikel ; Online: Macrophage-tumor cell interaction promotes ATRT progression and chemoresistance.

    Melcher, Viktoria / Graf, Monika / Interlandi, Marta / Moreno, Natalia / de Faria, Flavia W / Kim, Su Na / Kastrati, Dennis / Korbanka, Sonja / Alfert, Amelie / Gerß, Joachim / Meyer Zu Hörste, Gerd / Hartmann, Wolfgang / Frühwald, Michael C / Dugas, Martin / Schüller, Ulrich / Hasselblatt, Martin / Albert, Thomas K / Kerl, Kornelius

    Acta neuropathologica

    2019  Band 139, Heft 5, Seite(n) 913–936

    Abstract: Atypical teratoid/rhabdoid tumors (ATRT) are known for their heterogeneity concerning pathophysiology and outcome. However, predictive factors within distinct subgroups still need to be uncovered. Using multiplex immunofluorescent staining and single- ... ...

    Abstract Atypical teratoid/rhabdoid tumors (ATRT) are known for their heterogeneity concerning pathophysiology and outcome. However, predictive factors within distinct subgroups still need to be uncovered. Using multiplex immunofluorescent staining and single-cell RNA sequencing we unraveled distinct compositions of the immunological tumor microenvironment (TME) across ATRT subgroups. CD68
    Mesh-Begriff(e) Animals ; Biomarkers, Tumor/genetics ; Brain Neoplasms/genetics ; Brain Neoplasms/metabolism ; Central Nervous System Neoplasms/metabolism ; Central Nervous System Neoplasms/pathology ; Drug Resistance, Neoplasm/physiology ; Female ; Humans ; Macrophages/pathology ; Male ; Mice, Transgenic ; Neoplasm Recurrence, Local/pathology ; Rhabdoid Tumor/genetics ; Tumor Microenvironment/physiology
    Chemische Substanzen Biomarkers, Tumor
    Sprache Englisch
    Erscheinungsdatum 2019-12-17
    Erscheinungsland Germany
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1079-0
    ISSN 1432-0533 ; 0001-6322
    ISSN (online) 1432-0533
    ISSN 0001-6322
    DOI 10.1007/s00401-019-02116-7
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: An extracellular vesicle-related gene expression signature identifies high-risk patients in medulloblastoma.

    Albert, Thomas K / Interlandi, Marta / Sill, Martin / Graf, Monika / Moreno, Natalia / Menck, Kerstin / Rohlmann, Astrid / Melcher, Viktoria / Korbanka, Sonja / Meyer Zu Hörste, Gerd / Lautwein, Tobias / Frühwald, Michael C / Krebs, Christian F / Holdhof, Dörthe / Schoof, Melanie / Bleckmann, Annalen / Missler, Markus / Dugas, Martin / Schüller, Ulrich /
    Jäger, Natalie / Pfister, Stefan M / Kerl, Kornelius

    Neuro-oncology

    2020  Band 23, Heft 4, Seite(n) 586–598

    Abstract: Background: Medulloblastoma (MB) is a malignant brain tumor in childhood. It comprises 4 subgroups with different clinical behaviors. The aim of this study was to characterize the transcriptomic landscape of MB, both at the level of individual tumors as ...

    Abstract Background: Medulloblastoma (MB) is a malignant brain tumor in childhood. It comprises 4 subgroups with different clinical behaviors. The aim of this study was to characterize the transcriptomic landscape of MB, both at the level of individual tumors as well as in large patient cohorts.
    Methods: We used a combination of single-cell transcriptomics, cell culture models and biophysical methods such as nanoparticle tracking analysis and electron microscopy to investigate intercellular communication in the MB tumor niche.
    Results: Tumor cells of the sonic hedgehog (SHH)-MB subgroup show a differentiation blockade. These cells undergo extensive metabolic reprogramming. The gene expression profiles of individual tumor cells show a partial convergence with those of tumor-associated glial and immune cells. One possible cause is the transfer of extracellular vesicles (EVs) between cells in the tumor niche. We were able to detect EVs in co-culture models of MB tumor cells and oligodendrocytes. We also identified a gene expression signature, EVS, which shows overlap with the proteome profile of large oncosomes from prostate cancer cells. This signature is also present in MB patient samples. A high EVS expression is one common characteristic of tumors that occur in high-risk patients from different MB subgroups or subtypes.
    Conclusions: With EVS, our study uncovered a novel gene expression signature that has a high prognostic significance across MB subgroups.
    Mesh-Begriff(e) Cerebellar Neoplasms/genetics ; Extracellular Vesicles ; Hedgehog Proteins/genetics ; Humans ; Male ; Medulloblastoma/genetics ; Transcriptome
    Chemische Substanzen Hedgehog Proteins
    Sprache Englisch
    Erscheinungsdatum 2020-11-11
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2028601-6
    ISSN 1523-5866 ; 1522-8517
    ISSN (online) 1523-5866
    ISSN 1522-8517
    DOI 10.1093/neuonc/noaa254
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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