Glioblastoma radiomics: can genomic and molecular characteristics correlate with imaging response patterns?

Michael H. Soike, Emory R. McTyre, Nameeta Shah, Ralph B. Puchalski, Jordan A. Holmes, Anna K. Paulsson, Lance D. Miller, Christina K. Cramer, Glenn J. Lesser, Roy E. Strowd, William H. Hinson, Ryan T. Mott, Annette Johnson, Hui Wen Lo, Adrian W. Laxton, Stephen B. Tatter, Waldemar Debinski, Michael D. Chan

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Purpose: For glioblastoma (GBM), imaging response (IR) or pseudoprogression (PSP) is frequently observed after chemoradiation and may connote a favorable prognosis. With tumors categorized by the Cancer Genome Atlas Project (mesenchymal, classical, neural, and proneural) and by methylguanine-methyltransferase (MGMT) methylation status, we attempted to determine if certain genomic or molecular subtypes of GBM were specifically associated with IR or PSP. Methods: Patients with GBM treated at two institutions were reviewed. Kaplan-Meier method was used to estimate overall survival (OS) and progression-free survival (PFS). Mantel-cox test determined effect of IR and PSP on OS and PFS. Fisher’s exact test was utilized to correlate IR and PSP with genomic subtypes and MGMT status. Results: Eighty-two patients with GBM were reviewed. The median OS and PFS were 17.9 months and 8.9 months. IR was observed in 28 (40%) and was associated with improved OS (median 29.4 vs 14.5 months p < 0.01) and PFS (median 17.7 vs 5.5 months, p < 0.01). PSP was observed in 14 (19.2%) and trended towards improved PFS (15.0 vs 7.7 months p = 0.08). Tumors with a proneural component had a higher rate of IR compared to those without a proneural component (IR 60% vs 28%; p = 0.03). MGMT methylation was associated with IR (58% vs 24%, p = 0.032), but not PSP (34%, p = 0.10). Conclusion: IR is associated with improved OS and PFS. The proneural subtype and MGMT methylated tumors had higher rates of IR.

Original languageEnglish (US)
Pages (from-to)1043-1051
Number of pages9
JournalNeuroradiology
Volume60
Issue number10
DOIs
StatePublished - Oct 1 2018

    Fingerprint

Keywords

  • Glioblastoma
  • Imaging response
  • Pseudoprogression
  • Radiomics
  • TCGA subtype

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

Cite this

Soike, M. H., McTyre, E. R., Shah, N., Puchalski, R. B., Holmes, J. A., Paulsson, A. K., Miller, L. D., Cramer, C. K., Lesser, G. J., Strowd, R. E., Hinson, W. H., Mott, R. T., Johnson, A., Lo, H. W., Laxton, A. W., Tatter, S. B., Debinski, W., & Chan, M. D. (2018). Glioblastoma radiomics: can genomic and molecular characteristics correlate with imaging response patterns? Neuroradiology, 60(10), 1043-1051. https://doi.org/10.1007/s00234-018-2060-y