TY - JOUR
T1 - Multivariate analysis of associations between clinical sequencing and outcome in glioblastoma
AU - Yang, Peter H.
AU - Tao, Yu
AU - Luo, Jingqin
AU - Paturu, Mounica
AU - Lu, Hsiang Chih
AU - Ramkissoon, Shakti
AU - Heusel, Jonathan W.
AU - Leuthardt, Eric C.
AU - Chicoine, Michael R.
AU - Dowling, Joshua L.
AU - Dunn, Gavin P.
AU - Duncavage, Eric
AU - Dahiya, Sonika
AU - Chattherjee, Arindam R.
AU - Kim, Albert H.
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Background: Many factors impact survival in patients with glioblastoma, including age, Karnofsky Performance Status, postoperative chemoradiation, IDH1/2 mutation status, MGMT promoter methylation status, and extent of resection. High-throughput next-generation sequencing is a widely available diagnostic tool, but the independent impact of tumors harboring specific mutant genes on survival and the efficacy of extent of resection are not clear. Methods: We utilized a widely available diagnostic platform (FoundationOne CDx) to perform high-throughput next-generation sequencing on 185 patients with newly diagnosed glioblastoma in our tertiary care center. We performed multivariate analysis to control for clinical parameters with known impact on survival to elucidate the independent prognostic value of prevalent mutant genes and the independent impact of gross total resection. Results: When controlling for factors with known prognostic significance including IDH1/2 mutation and after multiple comparisons analysis, CDKN2B and EGFR mutations were associated with reduced overall survival while PTEN mutation was associated with improved overall survival. Gross total resection, compared to other extent of resection, was associated with improved overall survival in patients with tumors harboring mutations in CDKN2A, CDKN2B, EGFR, PTEN, TERT promoter, and TP53. All patients possessed at least one of these 6 mutant genes. Conclusions: This study verifies the independent prognostic value of several mutant genes in glioblastoma. Six commonly found mutant genes were associated with improved survival when gross total resection was achieved. Thus, even when accounting for known predictors of survival and multiple mutant gene comparisons, extent of resection continues to be strongly associated with survival.
AB - Background: Many factors impact survival in patients with glioblastoma, including age, Karnofsky Performance Status, postoperative chemoradiation, IDH1/2 mutation status, MGMT promoter methylation status, and extent of resection. High-throughput next-generation sequencing is a widely available diagnostic tool, but the independent impact of tumors harboring specific mutant genes on survival and the efficacy of extent of resection are not clear. Methods: We utilized a widely available diagnostic platform (FoundationOne CDx) to perform high-throughput next-generation sequencing on 185 patients with newly diagnosed glioblastoma in our tertiary care center. We performed multivariate analysis to control for clinical parameters with known impact on survival to elucidate the independent prognostic value of prevalent mutant genes and the independent impact of gross total resection. Results: When controlling for factors with known prognostic significance including IDH1/2 mutation and after multiple comparisons analysis, CDKN2B and EGFR mutations were associated with reduced overall survival while PTEN mutation was associated with improved overall survival. Gross total resection, compared to other extent of resection, was associated with improved overall survival in patients with tumors harboring mutations in CDKN2A, CDKN2B, EGFR, PTEN, TERT promoter, and TP53. All patients possessed at least one of these 6 mutant genes. Conclusions: This study verifies the independent prognostic value of several mutant genes in glioblastoma. Six commonly found mutant genes were associated with improved survival when gross total resection was achieved. Thus, even when accounting for known predictors of survival and multiple mutant gene comparisons, extent of resection continues to be strongly associated with survival.
KW - DNA
KW - glioblastoma
KW - high-throughput nucleotide analysis
KW - multivariate analysis
KW - retrospective studies
KW - sequence analysis
UR - http://www.scopus.com/inward/record.url?scp=85134927933&partnerID=8YFLogxK
U2 - 10.1093/noajnl/vdac002
DO - 10.1093/noajnl/vdac002
M3 - Article
C2 - 35156038
AN - SCOPUS:85134927933
SN - 2632-2498
VL - 4
JO - Neuro-Oncology Advances
JF - Neuro-Oncology Advances
IS - 1
M1 - vdac002
ER -