Glioma subtypes determine how the dangerous tumors spread, evade anti-angiogenic treatment
(Massachusetts General Hospital) A multi-institutional research team led by investigators at Massachusetts General Hospital and the University of California San Francisco has identified a new mechanism by which the dangerous brain tumors called gliomas develop resistance to anti-angiogenic treatment. (Source: EurekAlert! - Cancer)
Source: EurekAlert! - Cancer - April 27, 2018 Category: Cancer & Oncology Source Type: news
Tocagen and ApolloBio Enter License Agreement to Develop and Commercialize Toca 511 and Toca FC in the Greater China Region
Tocagen eligible to receive up to $127 million in upfront payment, development and commercial milestones, plus additional double-digit tiered sales royalties
Upfront and near-term development milestones payments total up to $20 million
SAN DIEGO and ... Biopharmaceuticals, Oncology, Licensing Tocagen, ApolloBio, immunotherapy, high grade glioma (Source: HSMN NewsFeed)
Source: HSMN NewsFeed - April 19, 2018 Category: Pharmaceuticals Source Type: news
The cellular composition of H3K27M gliomas
(Source: ScienceNOW)
Source: ScienceNOW - April 19, 2018 Category: Science Authors: Zahn, L. M. Tags: Genetics, Medicine, Diseases twis Source Type: news
Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq
Gliomas with histone H3 lysine27-to-methionine mutations (H3K27M-glioma) arise primarily in the midline of the central nervous system of young children, suggesting a cooperation between genetics and cellular context in tumorigenesis. Although the genetics of H3K27M-glioma are well characterized, their cellular architecture remains uncharted. We performed single-cell RNA sequencing in 3321 cells from six primary H3K27M-glioma and matched models. We found that H3K27M-glioma primarily contain cells that resemble oligodendrocyte precursor cells (OPC-like), whereas more differentiated malignant cells are a minority. OPC-like ce...
Source: ScienceNOW - April 19, 2018 Category: Science Authors: Filbin, M. G., Tirosh, I., Hovestadt, V., Shaw, M. L., Escalante, L. E., Mathewson, N. D., Neftel, C., Frank, N., Pelton, K., Hebert, C. M., Haberler, C., Yizhak, K., Gojo, J., Egervari, K., Mount, C., van Galen, P., Bonal, D. M., Nguyen, Q.-D., Beck, A., Tags: Genetics, Medicine, Diseases reports Source Type: news
Biomarkers may help predict brain tumor recurrence, study says
Specific biomarkers have been identified that could help assess the likelihood and severity of the recurrence of malignant glioma, a form of brain cancer. (Source: Health News - UPI.com)
Source: Health News - UPI.com - April 11, 2018 Category: Consumer Health News Source Type: news
Newly discovered biomarkers could be key to predicting severity of brain tumor recurrence
(Henry Ford Health System) Researchers have identified predictive biomarkers that could help assess the level of risk for recurrence in patients with malignant glioma. The study, led by Henry Ford Health System, was published today in Cell Reports. In an analysis of 200 tumor samples, the authors identified a set of epigenetic biomarkers that can predict, at a patient's initial diagnosis, which tumors are likely to recur with a more aggressive tumor type. (Source: EurekAlert! - Cancer)
Source: EurekAlert! - Cancer - April 10, 2018 Category: Cancer & Oncology Source Type: news
Biomarker panel can guide treatment of brain cancer
(Funda ç ã o de Amparo à Pesquisa do Estado de S ã o Paulo) Brazilian researchers have identified seven biomarkers that could be used at the time of the primary diagnosis to show which glioma patients will tend to progress to a more aggressive form of the disease (Source: EurekAlert! - Medicine and Health)
Source: EurekAlert! - Medicine and Health - April 10, 2018 Category: International Medicine & Public Health Source Type: news
AI Beats Pathologists in Predicting Survival in Brain Cancer AI Beats Pathologists in Predicting Survival in Brain Cancer
A novel approach using artificial intelligence (AI) performed better than human pathologists when predicting overall survival for patients with gliomas.Medscape Medical News (Source: Medscape Medical News Headlines)
Source: Medscape Medical News Headlines - March 21, 2018 Category: Consumer Health News Tags: Hematology-Oncology News Source Type: news
Machines See the Future for Patients Diagnosed with Brain Tumors
For patients diagnosed with glioma, a deadly form of brain tumor, the future can be very uncertain. While gliomas are often fatal within two years of diagnosis, some patients can survive for 10 years or more. Predicting the course of a patient's disease at diagnosis is critical in selecting the right therapy and in helping patients and their families to plan their lives. (Source: eHealth News EU)
Source: eHealth News EU - March 14, 2018 Category: Information Technology Tags: Featured Research Research and Development Source Type: news
Machines see the future for patients diagnosed with brain tumors
(Emory Health Sciences) Researchers at Emory and Northwestern Universities have developed artificial intelligence (AI) software that can predict the survival of patients diagnosed with glioma by examining data from tissue biopsies. The approach is more accurate than the predictions of doctors who undergo years of highly-specialized training for the same purpose. (Source: EurekAlert! - Medicine and Health)
Source: EurekAlert! - Medicine and Health - March 13, 2018 Category: International Medicine & Public Health Source Type: news
Response of High-Grade Gliomas to Checkpoint Inhibitors Response of High-Grade Gliomas to Checkpoint Inhibitors
How should MRI findings be used to assess response of high-grade gliomas to immunotherapy?Cancer Control: Journal of the Moffitt Cancer Center (Source: Medscape Today Headlines)
Source: Medscape Today Headlines - February 13, 2018 Category: Consumer Health News Tags: Hematology-Oncology Journal Article Source Type: news
Scientists target glioma cancer stem cells, which could improve patient survival
(Dartmouth-Hitchcock Medical Center) Brain tumors are responsible for 25 percent of cancer-related deaths in children and young adults. Despite initial response to treatment, most aggressive brain tumors eventually recur and are ultimately incurable. Multiple studies suggest that cancer stem cells within these tumors resist therapy and are responsible for tumor recurrences. Researchers at Dartmouth's Norris Cotton Cancer Center have devised a strategy to treat these tumors by identifying a secretion-mediated pathway that's essential for maintaining glioma cancer stem cells. (Source: EurekAlert! - Medicine and Health)
Source: EurekAlert! - Medicine and Health - February 5, 2018 Category: International Medicine & Public Health Source Type: news
Girl, 3, with brain tumour struggles to feed herself
Edie Molyneux, from Tranmere, will likely die young because of the rare mass on her brain, known as a diffuse intrinsic pontine glioma. (Source: the Mail online | Health)
Source: the Mail online | Health - January 25, 2018 Category: Consumer Health News Source Type: news
Tailoring cancer treatments to individual patients
(University of Texas at Austin, Texas Advanced Computing Center) The Center for Computational Oncology developed computer models to predict how cancer will progress in a specific individual, based on tissue, cellular and subcellular protein signaling responses. The models can predict how brain tumors (gliomas) will grow with much greater accuracy than previous models. Recently, the group began a clinical study to predict how an individual's cancer will progress after one cycle of therapy, and to use that prediction to plan the course of treatment. (Source: EurekAlert! - Medicine and Health)
Source: EurekAlert! - Medicine and Health - January 3, 2018 Category: International Medicine & Public Health Source Type: news
Variation Seen in Hospice Use for Malignant Glioma
Differences by race, sex, age, level of education, urban versus rural residence identified (Source: The Doctors Lounge - Oncology)
Source: The Doctors Lounge - Oncology - December 28, 2017 Category: Cancer & Oncology Tags: Family Medicine, Geriatrics, Internal Medicine, Neurology, Nursing, Oncology, Anesthesiology & amp; Pain, Journal, Source Type: news
