Results 31 to 40 of about 222,357 (321)

Characterising Distinct Migratory Profiles of Infiltrating T-Cell Subsets in Human Glioblastoma

open access: yesFrontiers in Immunology, 2022
Glioblastoma is the most common and aggressive form of primary brain cancer, with no improvements in the 5-year survival rate of 4.6% over the past three decades.
Paris M. Kollis   +20 more
doaj   +1 more source

The Glioblastoma CircularRNAome

open access: yesInternational Journal of Molecular Sciences, 2023
Glioblastoma remains one of the most aggressive cancers of the brain, warranting new methods for early diagnosis and more efficient treatment options. Circular RNAs (circRNAs) are rather new entities with increased stability compared to their linear counterparts that interact with proteins and act as microRNA sponges, among other functions.
Alexandru Tirpe   +8 more
openaire   +2 more sources

Research Progress of Diagnosis and Treatment of Glioblastoma

open access: yesZhongliu Fangzhi Yanjiu, 2022
Glioblastoma is the most common primary malignant brain tumor. Despite large-scale researches have been carried out, the prognosis of glioblastoma is still not significantly improved.
CHEN Qianxue
doaj   +1 more source

Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma [PDF]

open access: yesarXiv, 2021
Glioblastoma is profoundly heterogeneous in regional microstructure and vasculature. Characterizing the spatial heterogeneity of glioblastoma could lead to more precise treatment. With unsupervised learning techniques, glioblastoma MRI-derived radiomic features have been widely utilized for tumor sub-region segmentation and survival prediction. However,
arxiv  

Novel Local Radiomic Bayesian Classifiers for Non-Invasive Prediction of MGMT Methylation Status in Glioblastoma [PDF]

open access: yesarXiv, 2021
Glioblastoma, an aggressive brain cancer, is amongst the most lethal of all cancers. Expression of the O6-methylguanine-DNA-methyltransferase (MGMT) gene in glioblastoma tumor tissue is of clinical importance as it has a significant effect on the efficacy of Temozolomide, the primary chemotherapy treatment administered to glioblastoma patients ...
arxiv  

Angiogenesis in Glioblastoma [PDF]

open access: yesNew England Journal of Medicine, 2013
Recent work suggests that glioblastoma cells can differentiate into endothelial cells and pericytes, thus providing a means of tumor vascularization.
Philip A. Marsden, Sunit Das
openaire   +3 more sources

The anti‐hypertensive drug prazosin inhibits glioblastoma growth via the PKCδ‐dependent inhibition of the AKT pathway

open access: yesEMBO Molecular Medicine, 2016
A variety of drugs targeting monoamine receptors are routinely used in human pharmacology. We assessed the effect of these drugs on the viability of tumor‐initiating cells isolated from patients with glioblastoma.
Suzana Assad Kahn   +18 more
doaj   +1 more source

Integrative analysis of DNA methylation suggests down-regulation of oncogenic pathways and reduced somatic mutation rates in survival outliers of glioblastoma

open access: yesActa Neuropathologica Communications, 2019
The study of survival outliers of glioblastoma can provide important clues on gliomagenesis as well as on the ways to alter clinical course of this almost uniformly lethal cancer type.
Taeyoung Hwang   +12 more
doaj   +1 more source

Valganciclovir as Add-On to Standard Therapy in Secondary Glioblastoma

open access: yesMicroorganisms, 2020
Patients with glioblastoma have a very poor prognosis despite aggressive therapeutic strategies. Cytomegalovirus has been detected in >90% of glioblastoma tumors.
Giuseppe Stragliotto   +3 more
doaj   +1 more source

Detection and Classification of Glioblastoma Brain Tumor [PDF]

open access: yesarXiv, 2023
Glioblastoma brain tumors are highly malignant and often require early detection and accurate segmentation for effective treatment. We are proposing two deep learning models in this paper, namely UNet and Deeplabv3, for the detection and segmentation of glioblastoma brain tumors using preprocessed brain MRI images.
arxiv  

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