Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
Open Access
- 27 January 2020
- preprint content
- Published by Research Square Platform LLC
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<0.001). Female extreme survivors had significantly smaller tumors (T1Gd) (p=0.010 t-test), but tumor size was not correlated with female overall survival (p=0.955 CPH). Both male and female extreme survivors had significantly lower tumor cell net proliferation rates than other patients (M p=0.004, F p=0.001, t-test). Conclusion : Despite similar distributions of the MR imaging parameters between males and females, there was a sex-specific difference in how these parameters related to outcomes.Keywords
This publication has 39 references indexed in Scilit:
- The Prognostic Roles of Gender and O6-Methylguanine-DNA Methyltransferase Methylation Status in Glioblastoma Patients: The Female PowerWorld Neurosurgery, 2018
- Prognostic factors for survival in adult patients with recurrent glioblastoma: a decision-tree-based modelJournal of Neuro-Oncology, 2017
- The impact of MGMT methylation and IDH-1 mutation on long-term outcome for glioblastoma treated with chemoradiotherapyActa Neurochirurgica, 2016
- Glioblastoma in England: 2007–2011European Journal Of Cancer, 2015
- Changing incidence and improved survival of gliomasEuropean Journal of Cancer, 2014
- Glioblastoma survival in the United States improved after Food and Drug Administration approval of bevacizumab: A population‐based analysisCancer, 2013
- Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomasActa Neuropathologica, 2010
- Nomograms for predicting survival of patients with newly diagnosed glioblastoma: prognostic factor analysis of EORTC and NCIC trial 26981-22981/CE.3The Lancet Oncology, 2007
- A mathematical modelling tool for predicting survival of individual patients following resection of glioblastoma: a proof of principleBritish Journal of Cancer, 2007
- Frequent hypermethylation of the DNA repair gene MGMT in long-term survivors of glioblastoma multiformeJournal of Neuro-Oncology, 2006