Sex-specific differences in glioblastoma
Sex differences have been well identified in many brain tumors. Even though glioblastoma
(GBM) is the most common primary malignant brain tumor in adults and has the worst …
(GBM) is the most common primary malignant brain tumor in adults and has the worst …
Glioma CpG island methylator phenotype (G-CIMP): biological and clinical implications
Gliomas are a heterogeneous group of brain tumors with distinct biological and clinical
properties. Despite advances in surgical techniques and clinical regimens, treatment of high …
properties. Despite advances in surgical techniques and clinical regimens, treatment of high …
Sex differences in GBM revealed by analysis of patient imaging, transcriptome, and survival data
W Yang, NM Warrington, SJ Taylor… - Science translational …, 2019 - science.org
Sex differences in the incidence and outcome of human disease are broadly recognized but,
in most cases, not sufficiently understood to enable sex-specific approaches to treatment …
in most cases, not sufficiently understood to enable sex-specific approaches to treatment …
Survival outcomes and prognostic factors in glioblastoma
NF Brown, D Ottaviani, J Tazare, J Gregson, N Kitchen… - Cancers, 2022 - mdpi.com
Simple Summary Glioblastoma is the most common tumour that originates in the brain in
adults. Most of the published data on glioblastoma are from patients in clinical trials who …
adults. Most of the published data on glioblastoma are from patients in clinical trials who …
An independently validated survival nomogram for lower-grade glioma
H Gittleman, AE Sloan, JS Barnholtz-Sloan - Neuro-oncology, 2020 - academic.oup.com
Background Gliomas are the most common primary malignant brain tumor. Diffuse low-
grade and intermediate-grade gliomas, which together compose the lower-grade gliomas …
grade and intermediate-grade gliomas, which together compose the lower-grade gliomas …
Leveraging external data in the design and analysis of clinical trials in neuro-oncology
Integration of external control data, with patient-level information, in clinical trials has the
potential to accelerate the development of new treatments in neuro-oncology by …
potential to accelerate the development of new treatments in neuro-oncology by …
Multi-channel 3D deep feature learning for survival time prediction of brain tumor patients using multi-modal neuroimages
High-grade gliomas are the most aggressive malignant brain tumors. Accurate pre-operative
prognosis for this cohort can lead to better treatment planning. Conventional survival …
prognosis for this cohort can lead to better treatment planning. Conventional survival …
Biologic pathways underlying prognostic radiomics phenotypes from paired MRI and RNA sequencing in glioblastoma
Background The biologic meaning of prognostic radiomics phenotypes remains poorly
understood, hampered in part by lack of multicenter reproducible evidence. Purpose To …
understood, hampered in part by lack of multicenter reproducible evidence. Purpose To …
An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning
BACKGROUND Although survival statistics in patients with glioblastoma multiforme (GBM)
are well-defined at the group level, predicting individual patient survival remains challenging …
are well-defined at the group level, predicting individual patient survival remains challenging …
Optimizing EphA2-CAR T cells for the adoptive immunotherapy of glioma
Z Yi, BL Prinzing, F Cao, S Gottschalk… - … Therapy Methods & …, 2018 - cell.com
Glioblastoma is the most aggressive primary brain tumor in humans and is virtually incurable
with conventional therapies. Chimeric antigen receptor (CAR) T cell therapy targeting the …
with conventional therapies. Chimeric antigen receptor (CAR) T cell therapy targeting the …