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Research ArticleBrain Tumor Imaging

Sex-Specific Differences in Patients with IDH1–Wild-Type Grade 4 Glioma in the ReSPOND Consortium

Sree Gongala, Jose A. Garcia, Nisha Korakavi, Nirav Patil, Hamed Akbari, Andrew Sloan, Jill S. Barnholtz-Sloan, Jessie Sun, Brent Griffith, Laila M. Poisson, Thomas C. Booth, Rajan Jain, Suyash Mohan, MacLean P. Nasralla, Spyridon Bakas, Charit Tippareddy, Josep Puig, Joshua D. Palmer, Wenyin Shi, Rivka R. Colen, Aristeidis Sotiras, Sung Soo Ahn, Yae Won Park, Christos Davatzikos, Chaitra Badve and on behalf of the ReSPOND Consortium
American Journal of Neuroradiology September 2024, 45 (9) 1299-1307; DOI: https://doi.org/10.3174/ajnr.A8319
Sree Gongala
aFrom the Department of Radiology (S.G., N.K., J.S., C.T., C.B.), Case Western Reserve University School of Medicine, Cleveland, Ohio
bDepartment of Radiology (S.G., N.K., C.T., C.B.), University Hospitals of Cleveland, Cleveland, Ohio
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Jose A. Garcia
cCenter for Biomedical Image Computing and Analytics (CBICA) (J.A.G., C.D.), University of Pennsylvania, Philadelphia, Pennsylvania
dDepartment of Radiology (J.A.G., S.M., C.D.), Division of Neuroradiology at the University of Pennsylvania, Philadelphia, Pennsylvania
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Nisha Korakavi
aFrom the Department of Radiology (S.G., N.K., J.S., C.T., C.B.), Case Western Reserve University School of Medicine, Cleveland, Ohio
bDepartment of Radiology (S.G., N.K., C.T., C.B.), University Hospitals of Cleveland, Cleveland, Ohio
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Nirav Patil
eDepartment of Population and Quantitative Health Sciences (N.P.), Case Western Reserve University School of Medicine, Cleveland, Ohio
fUniversity Hospitals Health System (N.P.), Research and Education Institute, Cleveland, Ohio
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Hamed Akbari
gDepartment of Bioengineering (H.A.), Santa Clara University, Santa Clara, California
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Andrew Sloan
hNeuroscience Service line (A.Sloan), Department of Neurosurgery, Piedmont Health, Atlanta, Georgia
iDepartment of Cancer Biology (A.Sloan), Case Comprehensive Cancer Center, Cleveland, Ohio.
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Jill S. Barnholtz-Sloan
jCenter for Biomedical Informatics and Information Technology (J.S.B.-S.), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
kTrans-Divisional Research Program (J.S.B.-S.), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
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Jessie Sun
aFrom the Department of Radiology (S.G., N.K., J.S., C.T., C.B.), Case Western Reserve University School of Medicine, Cleveland, Ohio
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Brent Griffith
lDepartment of Radiology (B.G.), Henry Ford Health, Detroit, Michigan
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Laila M. Poisson
mDepartment of Radiology (L.M.P.), Wayne State University School of Medicine Henry Ford, Detroit, Michigan
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Thomas C. Booth
nSchool of Biomedical Engineering & Imaging Sciences (L.M.P.), King’s College London, London, United Kingdom
oDepartment of Neuroradiology (L.M.P.), King’s College Hospital NHS Foundation Trust, London, United Kingdom
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Rajan Jain
pDepartments of Radiology and Neurosurgery (R.J., M.P.N.), New York University Langone Health, New York, New York
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Suyash Mohan
dDepartment of Radiology (J.A.G., S.M., C.D.), Division of Neuroradiology at the University of Pennsylvania, Philadelphia, Pennsylvania
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MacLean P. Nasralla
qCenter for AI and Data Science for Integrated Diagnostics (C.D), at the University of Pennsylvania, Philadelphia, Pennsylvania
pDepartments of Radiology and Neurosurgery (R.J., M.P.N.), New York University Langone Health, New York, New York
rDepartment of Pathology and Laboratory Medicine (M.P.N.), at the University of Pennsylvania, Philadelphia, Pennsylvania
sGlioblastoma Translational Center of Excellence, Abramson Cancer Center (M.P.N.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
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Spyridon Bakas
tDivision of Computational Pathology (S.B.), Department of Pathology and Laboratory Medicine, Indiana University, Indianapolis, Indiana
uDepartment of Radiology and Imaging Sciences (S.B.), Indiana University, Indianapolis, Indiana
vDepartment of Neurological Surgery (S.B.), School of Medicine, Indiana University, Indianapolis, Indiana, Indiana University, Indianapolis, Indiana
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Charit Tippareddy
aFrom the Department of Radiology (S.G., N.K., J.S., C.T., C.B.), Case Western Reserve University School of Medicine, Cleveland, Ohio
bDepartment of Radiology (S.G., N.K., C.T., C.B.), University Hospitals of Cleveland, Cleveland, Ohio
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Josep Puig
wRadiology Department CDI (J.P.), Hospital Clinic of Barcelona, Barcelona, Spain
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Joshua D. Palmer
xDepartment of Radiation Oncology and Neurosurgery (J.D.P.), The James Cancer Hospital at the Ohio State University Wexner Medical Center, Columbus, Ohio
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Wenyin Shi
yDepartment of Radiation Oncology (W.S.), Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania
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Rivka R. Colen
zDepartment of Radiology (R.R.C.), University of Pittsburgh, Pittsburgh, Pennsylvania
aaHillman Cancer Center (R.R.C.), University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
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Aristeidis Sotiras
bbDepartment of Radiology (A.Sotiras), WA University School of Medicine, St. Louis, Missouri
ccInstitute for Informatics (A.Sotiras), Data Science & Biostatistics, Washington University School of Medicine, St. Louis, Missouri
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Sung Soo Ahn
ddDepartment of Radiology (S.S.A., Y.W.P.), Section of Neuroradiology, Yonsei University Health System, Seoul, Republic of Korea
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Yae Won Park
ddDepartment of Radiology (S.S.A., Y.W.P.), Section of Neuroradiology, Yonsei University Health System, Seoul, Republic of Korea
dDepartment of Radiology (J.A.G., S.M., C.D.), Division of Neuroradiology at the University of Pennsylvania, Philadelphia, Pennsylvania
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Christos Davatzikos
cCenter for Biomedical Image Computing and Analytics (CBICA) (J.A.G., C.D.), University of Pennsylvania, Philadelphia, Pennsylvania
dDepartment of Radiology (J.A.G., S.M., C.D.), Division of Neuroradiology at the University of Pennsylvania, Philadelphia, Pennsylvania
qCenter for AI and Data Science for Integrated Diagnostics (C.D), at the University of Pennsylvania, Philadelphia, Pennsylvania
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Chaitra Badve
aFrom the Department of Radiology (S.G., N.K., J.S., C.T., C.B.), Case Western Reserve University School of Medicine, Cleveland, Ohio
bDepartment of Radiology (S.G., N.K., C.T., C.B.), University Hospitals of Cleveland, Cleveland, Ohio
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Abstract

BACKGROUND AND PURPOSE: Understanding sex-based differences in patients with glioblastoma is necessary for accurate personalized treatment planning to improve patient outcomes. Our purpose was to investigate sex-specific differences in molecular, clinical, and radiologic tumor parameters, as well as survival outcomes in patients with glioblastoma, isocitrate dehydrogenase-1 wild-type (IDH1-WT), grade 4.

MATERIALS AND METHODS: Retrospective data of 1832 patients with glioblastoma, IDH1-WT with comprehensive information on tumor parameters was acquired from the Radiomics Signatures for Precision Oncology in Glioblastoma consortium. Data imputation was performed for missing values. Sex-based differences in tumor parameters, such as age, molecular parameters, preoperative Karnofsky performance score (KPS), tumor volumes, epicenter, and laterality were assessed through nonparametric tests. Spatial atlases were generated by using preoperative MRI maps to visualize tumor characteristics. Survival time analysis was performed through log-rank tests and Cox proportional hazard analyses.

RESULTS: Glioblastoma was diagnosed at a median age of 64 years in women compared with 61.9 years in men (false discovery rate [FDR] = 0.003). Men had a higher KPS (above 80) as compared with women (60.4% women versus 69.7% men, FDR = 0.044). Women had lower tumor volumes in enhancing (16.7 cm3 versus 20.6 cm3 in men, FDR = 0.001), necrotic core (6.18 cm3 versus 7.76 cm3 in men, FDR = 0.001), and edema regions (46.9 cm3 versus 59.2 cm3 in men, FDR = 0.0001). The right temporal region was the most common tumor epicenter in the overall population. Right as well as left temporal lobes were more frequently involved in men. There were no sex-specific differences in survival outcomes and mortality ratios. Higher age, unmethylated O6-methylguanine-DNA-methyltransferase promoter and undergoing subtotal resection increased the mortality risk in both men and women.

CONCLUSIONS: Our study demonstrates significant sex-based differences in clinical and radiologic tumor parameters of patients with glioblastoma. Sex is not an independent prognostic factor for survival outcomes and the tumor parameters influencing patient outcomes are identical for men and women.

ABBREVIATIONS:

EOR
extent of resection
FDR
false discovery rate
GTR
gross total resection
IDH1-WT
isocitrate dehydrogenase-1 wild-type
KPS
Karnofsky performance score
MGMTp
O6-methylguanine-DNA-methyltransferase promoter
MICE
Multiple Imputation by Chained Equations
STR
subtotal resection
US
United States
WHO
World Health Organization
  • © 2024 by American Journal of Neuroradiology
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Sree Gongala, Jose A. Garcia, Nisha Korakavi, Nirav Patil, Hamed Akbari, Andrew Sloan, Jill S. Barnholtz-Sloan, Jessie Sun, Brent Griffith, Laila M. Poisson, Thomas C. Booth, Rajan Jain, Suyash Mohan, MacLean P. Nasralla, Spyridon Bakas, Charit Tippareddy, Josep Puig, Joshua D. Palmer, Wenyin Shi, Rivka R. Colen, Aristeidis Sotiras, Sung Soo Ahn, Yae Won Park, Christos Davatzikos, Chaitra Badve, on behalf of the ReSPOND Consortium
Sex-Specific Differences in Patients with IDH1–Wild-Type Grade 4 Glioma in the ReSPOND Consortium
American Journal of Neuroradiology Sep 2024, 45 (9) 1299-1307; DOI: 10.3174/ajnr.A8319

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Sex Differences in IDH1-Wild-Type Glioma
Sree Gongala, Jose A. Garcia, Nisha Korakavi, Nirav Patil, Hamed Akbari, Andrew Sloan, Jill S. Barnholtz-Sloan, Jessie Sun, Brent Griffith, Laila M. Poisson, Thomas C. Booth, Rajan Jain, Suyash Mohan, MacLean P. Nasralla, Spyridon Bakas, Charit Tippareddy, Josep Puig, Joshua D. Palmer, Wenyin Shi, Rivka R. Colen, Aristeidis Sotiras, Sung Soo Ahn, Yae Won Park, Christos Davatzikos, Chaitra Badve, on behalf of the ReSPOND Consortium
American Journal of Neuroradiology Sep 2024, 45 (9) 1299-1307; DOI: 10.3174/ajnr.A8319
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