Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

  • Christina Corpuz (Contributor)
  • Joshua B. Rubin (Contributor)
  • Spencer Bayless (Contributor)
  • Paula Whitmire (Contributor)
  • Priya Kumthekar (Contributor)
  • Bernard R. Bendok (Contributor)
  • Robert A. Gatenby (Contributor)
  • Gustavo De Leon (Contributor)
  • Kamala Clark-Swanson (Contributor)
  • Sandra K. Johnston (Contributor)
  • Kristin R. Swanson (Contributor)
  • Peter Canoll (Contributor)
  • Eduardo Carrasco (Contributor)
  • Lei Wang (Contributor)
  • Sujay Vora (Contributor)
  • A. J. Hawkins-Daarud (Contributor)
  • K. M. Egan (Contributor)
  • Noah C. Peeri (Contributor)
  • Julia Lorence (Contributor)
  • Leland S. Hu (Contributor)
  • Christine Paula Lewis-De Los Angeles (Contributor)
  • Lee Curtin (Contributor)
  • Cassandra R. Rickertsen (Contributor)
  • M. M. Mrugala (Contributor)
  • Luis Gonzalez-Cuyar (Contributor)
  • Alyx B. Porter (Contributor)

Dataset

Description

Abstract Background Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods Combining multi-modal MR images, biomathematical models, and patient clinical information, this investigation assesses which pretreatment variables have a sex-specific impact on the survival of glioblastoma patients (299 males and 195 females). Results Among males, tumor (T1Gd) radius was a predictor of overall survival (HR = 1.027, p = 0.044). Among females, higher tumor cell net invasion rate was a significant detriment to overall survival (HR = 1.011, p
Date made availableMay 19 2020
Publisherfigshare Academic Research System

Cite this