TY - JOUR
T1 - Metabolomic Profiles of Human Glioma Inform Patient Survival
AU - Scott, Andrew J.
AU - Correa, Luis O.
AU - Edwards, Donna M.
AU - Sun, Yilun
AU - Ravikumar, Visweswaran
AU - Andren, Anthony C.
AU - Zhang, Li
AU - Srinivasan, Sudharsan
AU - Jairath, Neil
AU - Verbal, Kait
AU - Muraszko, Karin
AU - Sagher, Oren
AU - Carty, Shannon A.
AU - Hervey-Jumper, Shawn
AU - Orringer, Daniel
AU - Kim, Michelle M.
AU - Junck, Larry
AU - Umemura, Yoshie
AU - Leung, Denise
AU - Venneti, Sriram
AU - Camelo-Piragua, Sandra
AU - Lawrence, Theodore S.
AU - Ippolito, Joseph E.
AU - Al-Holou, Wajd N.
AU - Chinnaiyan, Prakash
AU - Heth, Jason
AU - Rao, Arvind
AU - Lyssiotis, Costas A.
AU - Wahl, Daniel R.
N1 - Publisher Copyright:
© Mary Ann Liebert, Inc.
PY - 2023/11/1
Y1 - 2023/11/1
N2 - 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.
AB - 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.
KW - 2-hydroxyglutarate
KW - IDH
KW - astrocytoma
KW - glioblastoma
KW - glioma
KW - metabolomics
KW - oligodendroglioma
KW - oxidative stress
KW - recurrence
UR - http://www.scopus.com/inward/record.url?scp=85174354748&partnerID=8YFLogxK
U2 - 10.1089/ars.2022.0085
DO - 10.1089/ars.2022.0085
M3 - Review article
C2 - 36852494
AN - SCOPUS:85174354748
SN - 1523-0864
VL - 39
SP - 942
EP - 956
JO - Antioxidants and Redox Signaling
JF - Antioxidants and Redox Signaling
IS - 13-15
ER -