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A longitudinal single-cell and spatial multiomic atlas of pediatric high-grade glioma.
Sussman, Jonathan H; Oldridge, Derek A; Yu, Wenbao; Chen, Chia-Hui; Zellmer, Abigail M; Rong, Jiazhen; Parvaresh-Rizi, Arianne; Thadi, Anusha; Xu, Jason; Bandyopadhyay, Shovik; Sun, Yusha; Wu, David; Emerson Hunter, C; Brosius, Stephanie; Ahn, Kyung Jin; Baxter, Amy E; Koptyra, Mateusz P; Vanguri, Rami S; McGrory, Stephanie; Resnick, Adam C; Storm, Phillip B; Amankulor, Nduka M; Santi, Mariarita; Viaene, Angela N; Zhang, Nancy; Raedt, Thomas De; Cole, Kristina; Tan, Kai.
Afiliação
  • Sussman JH; Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Oldridge DA; Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Yu W; Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
  • Chen CH; Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Zellmer AM; Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Rong J; Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Parvaresh-Rizi A; Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
  • Thadi A; Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Xu J; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA.
  • Bandyopadhyay S; Department of Biomedical Engineering, University of Rhode Island, Kingston, RI.
  • Sun Y; Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Wu D; Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Emerson Hunter C; Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Brosius S; Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Ahn KJ; Cellular and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, PA.
  • Baxter AE; Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Koptyra MP; Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, PA.
  • Vanguri RS; Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • McGrory S; Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Resnick AC; Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Storm PB; Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Amankulor NM; Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Santi M; Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Viaene AN; Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
  • Zhang N; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Raedt T; Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
  • Cole K; Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA.
  • Tan K; Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA.
bioRxiv ; 2024 Mar 08.
Article em En | MEDLINE | ID: mdl-38496580
ABSTRACT
Pediatric high-grade glioma (pHGG) is an incurable central nervous system malignancy that is a leading cause of pediatric cancer death. While pHGG shares many similarities to adult glioma, it is increasingly recognized as a molecularly distinct, yet highly heterogeneous disease. In this study, we longitudinally profiled a molecularly diverse cohort of 16 pHGG patients before and after standard therapy through single-nucleus RNA and ATAC sequencing, whole-genome sequencing, and CODEX spatial proteomics to capture the evolution of the tumor microenvironment during progression following treatment. We found that the canonical neoplastic cell phenotypes of adult glioblastoma are insufficient to capture the range of tumor cell states in a pediatric cohort and observed differential tumor-myeloid interactions between malignant cell states. We identified key transcriptional regulators of pHGG cell states and did not observe the marked proneural to mesenchymal shift characteristic of adult glioblastoma. We showed that essential neuromodulators and the interferon response are upregulated post-therapy along with an increase in non-neoplastic oligodendrocytes. Through in vitro pharmacological perturbation, we demonstrated novel malignant cell-intrinsic targets. This multiomic atlas of longitudinal pHGG captures the key features of therapy response that support distinction from its adult counterpart and suggests therapeutic strategies which are targeted to pediatric gliomas.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Panamá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Panamá