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A prognostic matrix code defines functional glioblastoma phenotypes and niches.
Vishnoi, Monika; Dereli, Zeynep; Yin, Zheng; Kong, Elisabeth K; Kinali, Meric; Thapa, Kisan; Babur, Ozgun; Yun, Kyuson; Abdelfattah, Nourhan; Li, Xubin; Bozorgui, Behnaz; Rostomily, Robert C; Korkut, Anil.
Afiliación
  • Vishnoi M; Department of Neurosurgery, Houston Methodist Research Institute, Houston, TX, 77030 USA.
  • Dereli Z; Department of Neurosurgery, University of Washington School of Medicine, Seattle WA, 98195.
  • Yin Z; Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Kong EK; Department of Systems Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston, TX, 77030 USA.
  • Kinali M; Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA.
  • Thapa K; Department of Statistics, Rice University, Houston, TX, 77030, USA.
  • Babur O; Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125.
  • Yun K; Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125.
  • Abdelfattah N; Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125.
  • Li X; Department of Neurology, Houston Methodist Research Institute, Houston, TX, 77030 USA.
  • Bozorgui B; Department of Neurology, Weill Cornell Medical School, New York NY, 10065.
  • Rostomily RC; Department of Neurology, Houston Methodist Research Institute, Houston, TX, 77030 USA.
  • Korkut A; Department of Neurology, Weill Cornell Medical School, New York NY, 10065.
bioRxiv ; 2023 Jun 08.
Article en En | MEDLINE | ID: mdl-37333072
Interactions among tumor, immune and vascular niches play major roles in driving glioblastoma (GBM) malignancy and treatment responses. The composition, heterogeneity, and localization of extracellular core matrix proteins (CMPs) that mediate such interactions, however, are not well understood. Here, we characterize functional and clinical relevance of genes encoding CMPs in GBM at bulk, single cell, and spatial anatomical resolution. We identify a "matrix code" for genes encoding CMPs whose expression levels categorize GBM tumors into matrisome-high and matrisome-low groups that correlate with worse and better survival, respectively, of patients. The matrisome enrichment is associated with specific driver oncogenic alterations, mesenchymal state, infiltration of pro-tumor immune cells and immune checkpoint gene expression. Anatomical and single cell transcriptome analyses indicate that matrisome gene expression is enriched in vascular and leading edge/infiltrative anatomic structures that are known to harbor glioma stem cells driving GBM progression. Finally, we identified a 17-gene matrisome signature that retains and further refines the prognostic value of genes encoding CMPs and, importantly, potentially predicts responses to PD1 blockade in clinical trials for GBM. The matrisome gene expression profiles may provide biomarkers of functionally relevant GBM niches that contribute to mesenchymal-immune cross talk and patient stratification to optimize treatment responses.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos