An introduction to the performance of immunohistochemistry
Immunohistochemistry (IHC) is a powerful technique that exploits the specific binding
between an antibody and antigen to detect and localize specific antigens in cells and tissue …
between an antibody and antigen to detect and localize specific antigens in cells and tissue …
[HTML][HTML] Glioma stem cells: novel data obtained by single-cell sequencing
A Gisina, I Kholodenko, Y Kim, M Abakumov… - International journal of …, 2022 - mdpi.com
Glioma is the most common type of primary CNS tumor, composed of cells that resemble
normal glial cells. Recent genetic studies have provided insight into the inter-tumoral …
normal glial cells. Recent genetic studies have provided insight into the inter-tumoral …
p53-targeted lncRNA ST7-AS1 acts as a tumour suppressor by interacting with PTBP1 to suppress the Wnt/β-catenin signalling pathway in glioma
J Sheng, X He, W Yu, Y Chen, Y Long, K Wang, S Zhu… - Cancer Letters, 2021 - Elsevier
Glioma is the most prevalent intracranial tumour, with considerable morbidity. Long non-
coding RNAs are important in the biological processes of various cancers. However, little is …
coding RNAs are important in the biological processes of various cancers. However, little is …
[HTML][HTML] Identification of immune-related lncRNA prognostic signature and molecular subtypes for glioblastoma
W Yu, Y Ma, W Hou, F Wang, W Cheng, F Qiu… - Frontiers in …, 2021 - frontiersin.org
Background Glioblastoma multiforme (GBM) is extensively genetically and transcriptionally
heterogeneous, which poses challenges for classification and management. Long …
heterogeneous, which poses challenges for classification and management. Long …
[HTML][HTML] MRI features predict p53 status in lower-grade gliomas via a machine-learning approach
Y Li, Z Qian, K Xu, K Wang, X Fan, S Li, T Jiang… - NeuroImage: Clinical, 2018 - Elsevier
Background P53 mutation status is a pivotal biomarker for gliomas. Here, we developed a
machine-learning model to predict p53 status in lower-grade gliomas based on radiomic …
machine-learning model to predict p53 status in lower-grade gliomas based on radiomic …
[HTML][HTML] Metabolic rewiring in glioblastoma cancer: EGFR, IDH and beyond
Glioblastoma multiforme (GBM), a highly invasive and incurable tumor, is the humans'
foremost, commonest, and deadliest brain cancer. As in other cancers, distinct combinations …
foremost, commonest, and deadliest brain cancer. As in other cancers, distinct combinations …
Extracellular vesicles in brain tumor progression
E D'Asti, S Chennakrishnaiah, TH Lee… - Cellular and molecular …, 2016 - Springer
Brain tumors can be viewed as multicellular 'ecosystems' with increasingly recognized
cellular complexity and systemic impact. While the emerging diversity of malignant disease …
cellular complexity and systemic impact. While the emerging diversity of malignant disease …
[HTML][HTML] State-of-the-art explainability methods with focus on visual analytics showcased by glioma classification
This study aims to reflect on a list of libraries providing decision support to AI models. The
goal is to assist in finding suitable libraries that support visual explainability and …
goal is to assist in finding suitable libraries that support visual explainability and …
MicroRNAs as biomarkers for human glioblastoma: progress and potential
S Huang, N Ali, L Zhong, J Shi - Acta Pharmacologica Sinica, 2018 - nature.com
Glioblastoma multiforme (GBM) is the most common malignant glioma. Despite innovative
research efforts in tumor therapy, the outcome for most diagnosed patients remains poor; …
research efforts in tumor therapy, the outcome for most diagnosed patients remains poor; …
[HTML][HTML] Molecular testing of brain tumor
Abstract The World Health Organization (WHO) classification of central nervous system
(CNS) tumors was revised in 2016 with a basis on the integrated diagnosis of molecular …
(CNS) tumors was revised in 2016 with a basis on the integrated diagnosis of molecular …