Structural connectome quantifies tumor invasion and predicts survival in glioblastoma patients

TY - UNPB

T1 - Structural connectome quantifies tumor invasion and predicts survival in glioblastoma patients

AU - Wei, Yiran

AU - Li, Chao

AU - Cui, Zaixu

AU - Mayrand, Roxanne C.

AU - Zou, Jingjing

AU - Wong, Adrianna L.K.C.

AU - Sinha, Rohitashwa

AU - Matys, Tomasz

AU - Schönlieb, Carola-Bibiane

AU - Price, Stephen John

PY - 2021/7/3

Y1 - 2021/7/3

N2 - Glioblastoma widely affects brain structure and function, and remodels neural connectivity. Characterizing the neural connectivity in glioblastoma may provide a tool to understand tumor invasion. Here, using a structural connectome approach based on diffusion MRI, we quantify the global and regional connectome disruptions in individual glioblastoma patients and investigate the prognostic value of connectome disruptions and topological properties. We show that the disruptions in the normal-appearing brain beyond the lesion could mediate the topological alteration of the connectome (P <0.001), associated with worse patient performance (P <0.001), cognitive function (P <0.001), and survival (overall survival: HR: 1.46, P = 0.049; progression-free survival: HR: 1.49, P = 0.019). Further, the preserved connectome in the normal-appearing brain demonstrates evidence of remodeling, where increased connectivity is associated with better overall survival (log-rank P = 0.005). Our approach reveals the glioblastoma invasion invisible on conventional MRI, promising to benefit patient stratification and precise treatment.

AB - Glioblastoma widely affects brain structure and function, and remodels neural connectivity. Characterizing the neural connectivity in glioblastoma may provide a tool to understand tumor invasion. Here, using a structural connectome approach based on diffusion MRI, we quantify the global and regional connectome disruptions in individual glioblastoma patients and investigate the prognostic value of connectome disruptions and topological properties. We show that the disruptions in the normal-appearing brain beyond the lesion could mediate the topological alteration of the connectome (P <0.001), associated with worse patient performance (P <0.001), cognitive function (P <0.001), and survival (overall survival: HR: 1.46, P = 0.049; progression-free survival: HR: 1.49, P = 0.019). Further, the preserved connectome in the normal-appearing brain demonstrates evidence of remodeling, where increased connectivity is associated with better overall survival (log-rank P = 0.005). Our approach reveals the glioblastoma invasion invisible on conventional MRI, promising to benefit patient stratification and precise treatment.

U2 - 10.1101/2021.03.09.434656

DO - 10.1101/2021.03.09.434656

M3 - Preprint

BT - Structural connectome quantifies tumor invasion and predicts survival in glioblastoma patients

PB - BioRxiv

ER -