Receptor tyrosine kinase expression in high-grade gliomas before and after chemoradiotherapy.

Receptor tyrosine kinase expression in high-grade gliomas before and after chemoradiotherapy. Oncol Lett. 2019 Dec;18(6):6509-6515 Authors: Wang K, Huang R, Wu C, Li G, Zhao Z, Hu H, Liu Y Abstract Glioma is the most common type of malignant brain tumor, and is characterized by invasive growth and chemoradiotherapy resistance. The following Cancer Genome Atlas mutation subtypes were identified in initial high-grade gliomas and recurrent gliomas treated by chemoradiotherapy: Isocitrate dehydrogenase 1/2 (IDH1/2) mutation, epidermal growth factor receptor variant III (EGFRvIII) mutation, tumor protein P53 mutation, PTEN mutation, O6-methylguanine-DNA methyltransferase promoter methylation and telomerase reverse transcriptase (TERT) mutation. The expression profile of 58 receptor tyrosine kinases (RTKs) were also examined. It was revealed that the proneural tumor subtype and IDH1/2 mutation are more frequent in recurrent tumors compared with initial tumors. Lower frequencies of the classical subtype, EGFRvIII mutation and TERT mutation were identified in recurrent tumors. A set of six RTK genes in which the level of expression was influenced by chemoradiotherapy was identified. Survival analysis revealed that the expression of several RTKs, including apoptosis-associated tyrosine kinase, fibroblast growth factor receptor 1 and insulin-like growth factor 1 receptor (IGF1R), was associated with patient survival. The stimulation of glioma cells by IGF1 in vitro...
Source: Oncology Letters - Category: Cancer & Oncology Tags: Oncol Lett Source Type: research

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Contributors : Zhong Yao ; Xingang LiSeries Type : Expression profiling by high throughput sequencingOrganism : Homo sapiensGlioblastoma multiforme (GBM) is the deadliest form of brain tumor with a median survival time of 15 months due to drug resistance. Ursodeoxycholic acid (UDCA) is approved of cancer suppressive potential in several tumors. Here we researched on the antitumor potential of UDCA on GBM. The CCK-8 and colony formation was used for detecting cell viability. RNA sequencing hinted transcriptional profile and pathways. PCR and western blot tested the change of related markers. Phenotype changes as cell cycle,...
Source: GEO: Gene Expression Omnibus - Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Homo sapiens Source Type: research
WEDNESDAY, Jan. 20, 2020 -- Surgical removal of the entire tumor may extend the lives of patients with a rare and deadly type of brain cancer called brainstem high-grade gliomas, a new study suggests. Researchers analyzed data from 103 patients in...
Source: Drugs.com - Daily MedNews - Category: General Medicine Source Type: news
CONCLUSION: VUGX01 can effectively block proliferation and induce apoptosis of certain type of cancer cells, even it's predicted by high LASSO score, but it is not an effective RTKs inhibitor, it may inhibit cell growth through acting as a novel ligand to one or several GPCRs. PMID: 31951182 [PubMed - as supplied by publisher]
Source: Current Cancer Drug Targets - Category: Cancer & Oncology Authors: Tags: Curr Cancer Drug Targets Source Type: research
CONCLUSIONS: GDC-0084 demonstrated classic PI3K/mTOR-inhibitor related toxicities. FDG-PET and concentration data from brain tumor tissue suggest that GDC-0084 crossed the blood-brain barrier. PMID: 31937616 [PubMed - as supplied by publisher]
Source: Clinical Cancer Research - Category: Cancer & Oncology Authors: Tags: Clin Cancer Res Source Type: research
In this study, we report for the first time the incorporation and administration of Aluminum phthalocyanine chloride (AlClPc)-loaded whey protein drug delivery system (AlClPc-PDDS) for the treatment of glioblastoma brain cancer. This system was designed and optimized (with the use of the spray drying technique) to obtain the required particle size (in the range of 100 to 300 nm), zeta potential and drug loading. Our results suggest that we have developed a drug delivery system from a low-cost raw material and preparation method that is capable of incorporating hydrophobic drugs which, in combination with irradiation, ...
Source: Materials Science and Engineering: C - Category: Materials Science Source Type: research
ville Malignant gliomas are one of the deadliest forms of brain cancer and despite advancements in treatment, patient prognosis remains poor, with an average survival of 15 months. Treatment using conventional chemotherapy does not deliver the required drug dose to the tumour site, owing to insufficient blood brain barrier (BBB) penetration, especially by hydrophilic drugs. Additionally, low molecular weight drugs cannot achieve specific accumulation in cancerous tissues and are characterized by a short circulation half-life. Nanoparticles can be designed to cross the BBB and deliver their drugs within the brain, thus ...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Review Source Type: research
We report initial production of a combined deep learning and radiomics model to predict overall survival in a clinically heterogeneous cohort of patients with high-grade gliomas. MATERIALS AND METHODS: Fifty patients with high-grade gliomas from our hospital and 128 patients with high-grade glioma from The Cancer Genome Atlas were included. For each patient, we calculated 348 hand-crafted radiomics features and 8192 deep features generated by a pretrained convolutional neural network. We then applied feature selection and Elastic Net-Cox modeling to differentiate patients into long- and short-term survivors. RESULTS: In ...
Source: American Journal of Neuroradiology - Category: Radiology Authors: Tags: FUNCTIONAL Source Type: research
Conditions:   Glioma;   Glioma, Malignant;   Glioblastoma;   Glioblastoma Multiforme;   Glioblastoma Multiforme of Brain;   GBM;   Brain Cancer Intervention:   Procedure: Laparoscopically harvested omental free flap Sponsor:   Northwell Health Recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
(Osaka University) Scientists at Osaka University have created a machine learning method for classifying the mutations of glioma brain tumors based on MR images alone. Thus far, classification has only been possible by tissue sampling during surgery. The new method is noninvasive, may remove the need for a tissue sample and help accelerate delivery of treatment for patients.
Source: EurekAlert! - Cancer - Category: Cancer & Oncology Source Type: news
AbstractIn the pediatric population, brain tumors represent the most commonly diagnosed solid neoplasms and the leading cause of cancer-related deaths globally. They include low-grade gliomas (LGGs), medulloblastomas (MBs), and other embryonal, ependymal, and neuroectodermal tumors. The mainstay of treatment for most brain tumors includes surgical intervention, radiation therapy, and chemotherapy. However, resistance to conventional therapy is widespread, which contributes to the high mortality rates reported and lack of improvement in patient survival despite advancement in therapeutic research. This has been attributed t...
Source: Cancer and Metastasis Reviews - Category: Cancer & Oncology Source Type: research
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