4.6 Article

Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status

期刊

NEURO-ONCOLOGY
卷 16, 期 6, 页码 779-786

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/neuonc/nou027

关键词

glioma; growth kinetics; IDH1; mathematical model; patient-specific; proliferation; invasion

资金

  1. James S. McDonnell Foundation
  2. University of Washington Academic Pathology fund
  3. National Institutes of Health [U54 CA143970, NS060752, R01 CA16437]
  4. James D. Murray Endowed Chair in the Nancy and Buster Alvord Brain Tumor Center at the University of Washington
  5. Northwestern Brain Tumor Institute at Northwestern University
  6. Zell Scholars Fund at Northwestern University
  7. Wirtz Innovation Fund at Northwestern University

向作者/读者索取更多资源

Glioblastomas with a specific mutation in the isocitrate dehydrogenase 1 (IDH1) gene have a better prognosis than gliomas with wild-type IDH1. Here we compare the IDH1 mutational status in 172 contrast-enhancing glioma patients with the invasion profile generated by a patient-specific mathematical model we developed based on MR imaging. We show that IDH1-mutated contrast-enhancing gliomas were relatively more invasive than wild-type IDH1 for all 172 contrast-enhancing gliomas as well as the subset of 158 histologically confirmed glioblastomas. The appearance of this relatively increased, model-predicted invasive profile appears to be determined more by a lower model-predicted net proliferation rate rather than an increased model-predicted dispersal rate of the glioma cells. Receiver operator curve analysis of the model-predicted MRI-based invasion profile revealed an area under the curve of 0.91, indicative of a predictive relationship. The robustness of this relationship was tested by cross-validation analysis of the invasion profile as a predictive metric for IDH1 status. The strong correlation between IDH1 mutation status and the MRI-based invasion profile suggests that use of our tumor growth model may lead to noninvasive clinical detection of IDH1 mutation status and thus lead to better treatment planning, particularly prior to surgical resection, for contrast-enhancing gliomas.

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