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

Autor: 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
Rok vydání: 2020
Předmět:
Male
Oncology
Cancer Research
0302 clinical medicine
Surgical oncology
Clinical information
Child
Aged
80 and over
Tumor size
Brain Neoplasms
Middle Aged
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Prognosis
Magnetic Resonance Imaging
Sex specific
Survival Rate
030220 oncology & carcinogenesis
Female
Mr images
Research Article
Adult
medicine.medical_specialty
Adolescent
Neuroimaging
lcsh:RC254-282
03 medical and health sciences
Young Adult
Sex Factors
Internal medicine
Image Interpretation
Computer-Assisted
Sex differences
Genetics
medicine
Overall survival
Humans
Tumor growth
Biomathematical models
Aged
Retrospective Studies
Primary Glioblastoma
business.industry
Models
Theoretical
medicine.disease
Mr imaging
Glioblastoma
business
030217 neurology & neurosurgery
Follow-Up Studies
Zdroj: BMC Cancer
BMC Cancer, Vol 20, Iss 1, Pp 1-10 (2020)
Popis: 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.
Databáze: OpenAIRE
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