Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status

被引:71
作者
Baldock, Anne L. [1 ,2 ]
Yagle, Kevin [3 ]
Born, Donald E. [4 ]
Ahn, Sunyoung [3 ]
Trister, Andrew D. [5 ]
Neal, Maxwell [3 ]
Johnston, Sandra K. [3 ]
Bridge, Carly A. [1 ,2 ]
Basanta, David [6 ]
Scott, Jacob [6 ]
Malone, Hani [7 ]
Sonabend, Adam M. [7 ]
Canoll, Peter [8 ]
Mrugala, Maciej M. [9 ]
Rockhill, Jason K. [5 ]
Rockne, Russell C. [1 ,2 ,10 ]
Swanson, Kristin R. [1 ,2 ,10 ,11 ]
机构
[1] Northwestern Univ, Feinberg Sch Med, Dept Neurol Surg, Chicago, IL 60611 USA
[2] Robert H Lurie Comprehens Canc Ctr, Northwestern Brain Tumor Inst, Chicago, IL USA
[3] Univ Washington, Sch Med, Dept Pathol Neuropathol, Seattle, WA USA
[4] Stanford Univ, Dept Pathol Neuropathol, Stanford, CA 94305 USA
[5] Univ Washington, Sch Med, Dept Radiat Oncol, Seattle, WA USA
[6] Univ S Florida, Coll Med, H Lee Moffitt Canc Ctr & Res Inst, Dept Integrated Math Oncol, Tampa, FL 33612 USA
[7] Columbia Univ, Dept Neurol Surg, New York, NY USA
[8] Columbia Univ, Dept Pathol & Cell Biol, New York, NY USA
[9] Univ Washington, Sch Med, Dept Neurol, Seattle, WA USA
[10] Univ Washington, Dept Appl Math, Seattle, WA 98195 USA
[11] Northwestern Univ, Dept Engn Sci & Appl Math, Evanston, IL 60208 USA
基金
美国国家卫生研究院;
关键词
glioma; growth kinetics; IDH1; mathematical model; patient-specific; proliferation; invasion; GLIOBLASTOMA; GROWTH; SURVIVAL;
D O I
10.1093/neuonc/nou027
中图分类号
R73 [肿瘤学];
学科分类号
100214 [肿瘤学];
摘要
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.
引用
收藏
页码:779 / 786
页数:8
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