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Metabolomic Profiles of Human Glioma Inform Patient Survival.
Scott, Andrew J; Correa, Luis O; Edwards, Donna M; Sun, Yilun; Ravikumar, Visweswaran; Andren, Anthony C; Zhang, Li; Srinivasan, Sudharsan; Jairath, Neil; Verbal, Kait; Muraszko, Karin; Sagher, Oren; Carty, Shannon A; Hervey-Jumper, Shawn; Orringer, Daniel; Kim, Michelle M; Junck, Larry; Umemura, Yoshie; Leung, Denise; Venneti, Sriram; Camelo-Piragua, Sandra; Lawrence, Theodore S; Ippolito, Joseph E; Al-Holou, Wajd N; Chinnaiyan, Prakash; Heth, Jason; Rao, Arvind; Lyssiotis, Costas A; Wahl, Daniel R.
Afiliación
  • Scott AJ; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
  • Correa LO; Department of Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA.
  • Edwards DM; Department of Immunology Graduate Program, University of Michigan, Ann Arbor, Michigan, USA.
  • Sun Y; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
  • Ravikumar V; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
  • Andren AC; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
  • Zhang L; Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA.
  • Srinivasan S; Department of Molecular & Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA.
  • Jairath N; Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan, USA.
  • Verbal K; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
  • Muraszko K; Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan, USA.
  • Sagher O; Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan, USA.
  • Carty SA; Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan, USA.
  • Hervey-Jumper S; Department of Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA.
  • Orringer D; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Kim MM; Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
  • Junck L; Department of Neurosurgery, New York University Langone Health, New York, New York, USA.
  • Umemura Y; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
  • Leung D; Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
  • Venneti S; Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
  • Camelo-Piragua S; Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA.
  • Lawrence TS; Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
  • Ippolito JE; Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
  • Al-Holou WN; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
  • Chinnaiyan P; Department of Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA.
  • Heth J; Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Rao A; Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Lyssiotis CA; Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan, USA.
  • Wahl DR; Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan, USA.
Antioxid Redox Signal ; 39(13-15): 942-956, 2023 11.
Article en En | MEDLINE | ID: mdl-36852494
ABSTRACT

Aims:

Targeting tumor metabolism may improve the outcomes for patients with glioblastoma (GBM). To further preclinical efforts targeting metabolism in GBM, we tested the hypothesis that brain tumors can be stratified into distinct metabolic groups with different patient outcomes. Therefore, to determine if tumor metabolites relate to patient survival, we profiled the metabolomes of human gliomas and correlated metabolic information with clinical data.

Results:

We found that isocitrate dehydrogenase-wildtype (IDHwt) GBMs are metabolically distinguishable from IDH mutated (IDHmut) astrocytomas and oligodendrogliomas. Survival of patients with IDHmut gliomas was expectedly more favorable than those with IDHwt GBM, and metabolic signatures can stratify IDHwt GBMs subtypes with varying prognoses. Patients whose GBMs were enriched in amino acids had improved survival, while those whose tumors were enriched for nucleotides, redox molecules, and lipid metabolites fared more poorly. These findings were recapitulated in validation cohorts using both metabolomic and transcriptomic data. Innovation Our results suggest the existence of metabolic subtypes of GBM with differing prognoses, and further support the concept that metabolism may drive the aggressiveness of human gliomas.

Conclusions:

Our data show that metabolic signatures of human gliomas can inform patient survival. These findings may be used clinically to tailor novel metabolically targeted agents for GBM patients with different metabolic phenotypes. Antioxid. Redox Signal. 39, 942-956.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Astrocitoma / Neoplasias Encefálicas / Glioblastoma / Glioma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Antioxid Redox Signal Asunto de la revista: METABOLISMO Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Astrocitoma / Neoplasias Encefálicas / Glioblastoma / Glioma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Antioxid Redox Signal Asunto de la revista: METABOLISMO Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos