Sex-Related Differences in Glioblastoma: A Single-Center Retrospective Cohort Study

<b>Background</b>: Sex differences play a significant role in the epidemiology, biology, and outcomes of many cancers, including glioblastoma (GB), the most common and aggressive primary brain tumor. GB is more frequent in males, while females tend to have longer survival, though the underlying reasons for these differences remain poorly understood. Potential contributors include hormonal influences, sex-specific risk factors, and treatment disparities. Understanding these differences is critical for optimizing personalized treatment strategies. <b>Methods</b>: We conducted a retrospective analysis of patients with gliomas from a neuro-oncological database, with a primary focus on GB cases. Variables collected included sex, age, tumor type, molecular biomarker, and treatment modalities. The primary objective was to assess sex-based differences in tumor characteristics and outcomes, while the secondary objective was to identify predictors of time to progression and mortality. <b>Results</b>: The cohort comprised 125 GB, 48 astrocytomas, and 16 oligodendrogliomas, with no significant sex-based differences in age or tumor type distribution. Among GB patients, multifocality was more prevalent in females (14% vs. 8%; <i>p</i> = 0.01); also, EGFR amplification was more frequent in females (25.5% vs. 52.5%; <i>p</i> = 0.007). Males received chemotherapy (80% vs. 63%; <i>p</i> = 0.04) and radiotherapy (84% vs. 67%; <i>p</i> = 0.03) more frequently than females. Survival was positively associated with <i>MGMT</i> methylation (<i>p</i> = 0.002) and negatively associated with TERT mutation (<i>p</i> = 0.01). Multivariable analysis identified TERT mutation as a predictor of increased mortality (HR = 4.1; 95% CI: 1.2-14; <i>p</i> = 0.025), while multifocality predicted both mortality (HR = 2.3; 95% CI: 1.3-3.9; <i>p</i> = 0.003) and reduced time to progression (HR = 3.3; 95% CI: 1.02-10.6; <i>p</i> = 0.04). <b>Conclusions</b>: This study underscores the importance of sex and molecular profiling in GB management, revealing distinct patterns in tumor characteristics and treatment administration between males and females. Our findings advocate for the integration of sex-specific considerations and molecular profiling into clinical decision-making to improve outcomes for GB patients.

Authors

Institutions

Publication Details

Journal
Biomedicines
Published
2025-07-14
DOI
https://doi.org/10.3390/biomedicines13071715
Citations
2
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
3.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sex-Related Differences in Glioblastoma: A Single-Center Retrospective Cohort Study

Payam Tabaee Damavandi, Gianfranco Pesce, Paolo Spina, Mustafa Yenigün et al.
2 citations
Biomedicines
Glioma Diagnosis and Treatment
3.25
article

Sex-Related Differences in Glioblastoma: A Single-Center Retrospective Cohort Study

Payam Tabaee Damavandi, Gianfranco Pesce, Paolo Spina, Mustafa Yenigün, Pamela Agazzi, Francesco Marchi, Giulio Disanto, Barbara Muoio, Vittoria Espeli, Chiara Prosperetti, Alberto Pagnamenta
article en
2 citations

Abstract

<b>Background</b>: Sex differences play a significant role in the epidemiology, biology, and outcomes of many cancers, including glioblastoma (GB), the most common and aggressive primary brain tumor. GB is more frequent in males, while females tend to have longer survival, though the underlying reasons for these differences remain poorly understood. Potential contributors include hormonal influences, sex-specific risk factors, and treatment disparities. Understanding these differences is critical for optimizing personalized treatment strategies. <b>Methods</b>: We conducted a retrospective analysis of patients with gliomas from a neuro-oncological database, with a primary focus on GB cases. Variables collected included sex, age, tumor type, molecular biomarker, and treatment modalities. The primary objective was to assess sex-based differences in tumor characteristics and outcomes, while the secondary objective was to identify predictors of time to progression and mortality. <b>Results</b>: The cohort comprised 125 GB, 48 astrocytomas, and 16 oligodendrogliomas, with no significant sex-based differences in age or tumor type distribution. Among GB patients, multifocality was more prevalent in females (14% vs. 8%; <i>p</i> = 0.01); also, EGFR amplification was more frequent in females (25.5% vs. 52.5%; <i>p</i> = 0.007). Males received chemotherapy (80% vs. 63%; <i>p</i> = 0.04) and radiotherapy (84% vs. 67%; <i>p</i> = 0.03) more frequently than females. Survival was positively associated with <i>MGMT</i> methylation (<i>p</i> = 0.002) and negatively associated with TERT mutation (<i>p</i> = 0.01). Multivariable analysis identified TERT mutation as a predictor of increased mortality (HR = 4.1; 95% CI: 1.2-14; <i>p</i> = 0.025), while multifocality predicted both mortality (HR = 2.3; 95% CI: 1.3-3.9; <i>p</i> = 0.003) and reduced time to progression (HR = 3.3; 95% CI: 1.02-10.6; <i>p</i> = 0.04). <b>Conclusions</b>: This study underscores the importance of sex and molecular profiling in GB management, revealing distinct patterns in tumor characteristics and treatment administration between males and females. Our findings advocate for the integration of sex-specific considerations and molecular profiling into clinical decision-making to improve outcomes for GB patients.

BiomedicinesVol. 13(7)
Laboratory for Biomedical Neurosciences (CH), Ente Ospedaliero Cantonale (CH), Università della Svizzera italiana (CH)
Good health and well-being
Openalex Percentile: Top 8%
Glioma Diagnosis and Treatment
3.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.