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

Authors :
Peter Canoll
Alyx B. Porter
Priya Kumthekar
Maciej M. Mrugala
Sandra K. Johnston
Paula Whitmire
Lee Curtin
Eduardo Carrasco
Spencer Bayless
Andrea Hawkins-Daarud
Julia Lorence
Lei Wang
Bernard R. Bendok
Christine Paula Lewis-de los Angeles
Cassandra R. Rickertsen
Kristin R. Swanson
Robert A. Gatenby
Kathleen M. Egan
Sujay A. Vora
Leland S. Hu
Kamala Clark-Swanson
Christina Corpuz
Joshua B. Rubin
Noah C. Peeri
Luis F. Gonzalez-Cuyar
Gustavo De Leon
Source :
BMC Cancer, BMC Cancer, Vol 20, Iss 1, Pp 1-10 (2020)
Publication Year :
2020
Publisher :
Research Square Platform LLC, 2020.

Abstract

BackgroundSex 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.MethodsCombining 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. Pretreatment MR images of 494 glioblastoma patients (299 males and 195 females) were segmented to quantify tumor volumes. Cox proportional hazard (CPH) models and Student’s t-tests were used to assess which variables were associated with survival outcomes.ResultsAmong 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, pConclusionDespite similar distributions of the MR imaging parameters between males and females, there was a sex-specific difference in how these parameters related to outcomes, which emphasizes the importance of considering sex as a biological factor when determining patient prognosis and treatment approach.

Details

Database :
OpenAIRE
Journal :
BMC Cancer, BMC Cancer, Vol 20, Iss 1, Pp 1-10 (2020)
Accession number :
edsair.doi.dedup.....f1c726631c4d975d52f419e36e79c67c
Full Text :
https://doi.org/10.21203/rs.2.10177/v5