Articles tagged with Brain Tumors
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Researchers at the University of Seville discovered Galectin-3's crucial role in brain tumour progression, finding its inhibition significantly reduces glioblastoma size and brain metastases. Inhibition promotes pro-inflammatory markers and reverses immunosuppressive biomarkers, leading to improved outcomes.
Glioblastoma cancer cells change their appearance and behavior to evade T-cell attack, rendering immunotherapy ineffective. Researchers found that these 'plastic' cells can also exhaust T-cells, making glioblastoma resistant to treatment.
A new atlas of early brain development has been created, allowing researchers to understand the genetic processes behind brain tumor formation in children. The study's findings may lead to new treatments for this rare but deadly disease.
A new mRNA cancer vaccine has been shown to trigger a vigorous immune response in both human patients and pet dogs with glioblastoma, the most aggressive form of brain cancer. The breakthrough treatment, which uses a personalized approach and novel delivery mechanism, demonstrates promising results in early clinical trials.
A team of Purdue researchers has developed a novel immunotherapy to combat glioblastoma, a type of brain tumor with limited treatment options. The treatment uses genetically engineered stem cell-derived natural killer cells that can target and eliminate tumors without the need for blood sourcing.
A study by researchers at Washington University School of Medicine has found that a drug used to treat epilepsy can prevent brain tumor formation and growth in mice with neurofibromatosis type 1 (NF1). The drug, lamotrigine, was shown to be effective at lower doses than those used for epilepsy, and its effects were lasting. The finding...
Researchers at Tampere University and Hospital discovered that aberrant DNA methylation contributes to the development of aggressive AT/RT brain tumors in young children. This finding paves the way for a deeper understanding of the disease and potential new treatments.
MD Anderson researchers presented studies on combination therapies for AML and lung cancer, tumor microbiomes in immunity, and improved HPV screening. Genetic markers predict extended survival with KRAS inhibitors and may identify patients who benefit from novel combinations.
The University of Cincinnati Cancer Center team has opened a Phase 2 clinical trial to test a new combination treatment for glioblastomas, a deadly form of brain tumors. The treatment uses letrozole, a drug that targets an enzyme present in breast cancer cells, and temozolomide, a chemotherapy drug already approved as a GBM treatment.
Early trial results from six patients with recurrent glioblastoma show reduced tumor sizes after administering dual-target CAR T cells targeting EGFR and IL13Rα2 intrathecally. This 'dual-target' approach may outsmart the defense systems of GBM, leading to more effective therapies.
Researchers at Mass General Cancer Center have achieved dramatic tumor regression in glioblastoma patients after receiving next generation CAR-T therapy. The treatment, known as INCIPIENT, combines two forms of therapy to target mixed cell populations within tumors.
A novel AI-based and non-invasive diagnostic tool, DISCERN, enables accurate brain tumor diagnosis with high accuracy, surpassing conventional methods. The tool leverages deep learning to identify behavioral patterns on imaging specific to each tumor.
A new model of glioblastoma's key feature, oncostreams, could help scientists understand how to develop new treatments for this aggressive brain cancer. The model, developed by a team at the University of Michigan, identifies a potential inhibitor that appears to dismantle oncostreams, leading to better survival in mouse models.
Researchers at UCSF have identified AF1q as a universal biomarker for neuroblastoma, a highly aggressive and fatal form of childhood cancer. High-risk cases have a five-year survival rate of just 50%. The study found that silencing AF1q in neuroblastoma cells induces cell death and weakens tumor progression.
Researchers at Texas A&M University have discovered that meningiomas in humans and dogs share remarkable genetic similarities. This breakthrough could lead to the development of novel treatments applicable to both species, including access to therapy not available elsewhere for dog owners.
Recent advances in permeating the brain-blood barrier hold promise for using radiopharmaceuticals to treat brain tumors. Theranostic approaches show encouraging preliminary results, particularly for meningiomas and pediatric brain tumors.
A study conducted at a FAPESP-supported research center discovered a link between the protein VAPB and tumor cell proliferation in medulloblastoma, one of the most common and aggressive brain tumors in children. High expression of VAPB correlated with reduced patient survival.
Researchers used a novel microscopy technique to image human brain tissue with unprecedented detail, revealing new cells and structures previously invisible. The method could help diagnose tumors, generate more accurate prognoses, and guide treatment decisions.
Researchers from UPV propose using rCBV as a predictive marker to identify patients with moderately vascularized tumors who benefit most from bevacizumab treatment. This approach enhances treatment efficacy and improves clinical outcomes.
Researchers have identified regional biological signatures in invasive brain tumor margins of high-grade glioma, which could lead to improved diagnosis, prognosis, and treatment. Advanced MRI techniques may help distinguish between the genetic and molecular alterations, providing insights into resistance to treatment.
A new cancer GPS method uses a water-soluble, luminescent europium complex to evaluate the malignancy grade of model glioma tumor cells without causing harm. The method measures changes in the lifetime of the complex's red-light emission, revealing differences in tumor activity and growth processes between different malignancy grades.
Researchers aim to improve glioma treatment with direct light therapy that targets cancer cells without harming healthy ones. The project will investigate the efficacy and safety of this approach, potentially leading to improved treatment outcomes.
Researchers developed a new imaging technique to visualize the tumor microenvironment of glioblastoma, revealing insights into its pathology. The technique uses PET imaging with Carbon-11 acetate, tracking reactive astrocytes and distinguishing them from tumor cells.
Researchers studied cellular functions in medulloblastoma to understand its genetic causes and develop targeted therapies. The study identified essential microproteins that play a crucial role in the survival of cancer cells.
Researchers have discovered that cancer cells in certain brain tumors, such as medulloblastoma with extensive nodularity (MBEN), undergo a process of maturation as they migrate within the tumor. This leads to a reduction in aggression and a more favorable course for the disease.
A new framework has been established for standardized imaging of diffuse gliomas using amino acid PET, enabling the evaluation of treatment success and improving therapies. The RANO group has developed criteria that enable reliable imaging of tumor activity and extent.
Researchers at the Princess Máxima Center and Hubrecht Institute developed a new cortex organoid that more accurately captures essential features of the human brain. The mini-organs can be used to model pediatric brain tumors, offering potential targets for treatment.
A Phase II clinical trial has shown a clear clinical benefit of combining Dabrafenib and Trametinib in treating BRAF mutated low-grade paediatric gliomas. The combination therapy improved overall response rate by over four-fold and increased median progression-free survival.
Researchers developed a highly accurate way to predict the best treatment for patients with meningioma based on patterns of gene expression. The new approach could change treatment for nearly 1 in 3 people with meningioma, reducing radiation side effects and improving patient outcomes.
A $5 million NIH grant is expanding the University of Illinois Chicago's neurology tissue bank into a citywide effort to study epilepsy and brain cancer. The project will create a powerful new resource combining brain tissue data with clinical, functional, genetic, and 3D imaging information.
Researchers have discovered that tumors can hijack and exploit the nervous system's electrical signals to drive their growth and form working connections with healthy cells. This new field of medicine, cancer neuroscience, offers opportunities to target deadly forms of cancer, including brain tumors.
Researchers are testing a single target to weaken tumors and strengthen immune cells in pediatric brain tumor patients. The goal is to improve the effectiveness of CAR-T therapy, which has shown promise but also leads to exhaustion of immune cells.
In a phase I trial, an oncolytic virus treatment designed by Brigham researchers extended survival among patients with recurrent glioblastoma, especially those with pre-existing viral antibodies. The therapy reshaped the tumor's surrounding environment to stimulate an anti-tumor immune response.
A new AI tool provides fully automated, easy-to-use evaluation of brain tumors using amino acid PET scans. The deep learning-based segmentation algorithm assesses treatment response with quality comparable to that of an experienced physician.
Researchers discovered that targeting TUG1 can control brain tumor growth in mice, suggesting a potential strategy to combat aggressive brain tumors. By inhibiting TUG1, the therapy significantly suppressed tumor growth and improved survival rates when combined with standard treatment.
Researchers at UMC Utrecht developed a deep-learning algorithm that can identify brain tumor types within 20-40 minutes, allowing neurosurgeons to adjust surgical strategies on the spot. This technology has shown promising results and is already being used in clinical practice.
A research team led by HKUST developed an AI-powered model to predict glioma patients' prognosis and identify early predictors of tumor evolution under therapy. The model, CELLO2, uses genomic and transcriptomic data from 544 glioma patients to accurately predict treatment-induced hypermutation and grade progression.
Researchers have developed a novel zebrafish xenograft platform to screen for novel treatments for glioblastoma, an aggressive brain tumor. The platform uses zebrafish avatars to model glioblastoma cells from individual patients, allowing researchers to identify patient-specific targets and potential treatments.
A new set of criteria, RANO 2.0, has been proposed to improve the assessment of progression in glioma patients and accelerate the development of new treatments for brain tumors.
A recent study by Sylvester Cancer researchers used machine learning tools to predict tumor growth patterns in glioblastoma patients. The model achieved an overall accuracy of 86% in predicting three outcome classes, with 93% accuracy when predicting between no progression and any kind of progression.
A new drug called vorasidenib has been shown to significantly slow tumor growth and extend the average time until tumor growth in patients with grade 2 IDH-mutant gliomas. This breakthrough could offer a first early treatment option for these cancer patients, potentially improving their quality of life.
Cancer researchers at University of Cincinnati Cancer Center are exploring a new method called lattice therapy, which delivers higher doses to tumors and lower doses to surrounding tissues. The approach has shown promise in reducing treatment time and improving patient outcomes for head and neck, lung, and brain tumors.
Researchers have developed a noninvasive brain biopsy technique using ultrasound and microbubbles to access brain tissue without surgery. The technique increases circulating tumor DNA by 1.6- to 5.6-fold, providing valuable genetic information for treatment decisions.
Scientists from German Cancer Research Center successfully tested transgenic T cells against glioblastoma, a type of aggressive brain tumor. The T cells were engineered to recognize and kill cancer cells, showing a greater than 40% response rate in treated mice.
Researchers have developed a peptide vaccine targeting a specific mutation in the histone protein H3K27M, common in diffuse midline gliomas. The vaccine induced immune responses in patients and led to tumor regression in some cases.
The INSIGhT trial has reported initial results, with patients on abemaciclib and neratinib experiencing longer progression-free survival than those receiving standard therapy. The adaptive platform trial uses Bayesian Adaptive Randomization to identify therapies that benefit patients more efficiently.
Researchers at the University of Nottingham have developed a new way to target and kill glioblastoma cells, a type of brain cancer with a low five-year survival rate. The breakthrough uses bio-nanoantennae to induce programmed cell death in cancer cells via electrical stimulation.
Researchers at UTSA are studying the bioactive properties of Sweet Annie, a plant used in traditional Chinese medicine for over 2,000 years. The study reveals that arteannuin B from the plant has anti-COVID and anti-glioblastoma properties, offering new avenues for targeted therapy.
Researchers have developed a device that can be implanted into tumors during surgery to test new treatments, providing unprecedented insight into the effects of drugs on glioma tumors. The device, which is designed to be used during standard of care surgery, caused no adverse effects on patients in a phase 1 clinical trial.
Researchers developed a molecular test to identify brain tumors by analyzing genetic material in cerebrospinal fluid. The Real-CSF test correctly identified 67% of cancerous and 96% of noncancerous brain lesions, outperforming standard cytology methods.
Researchers at UCLA Jonsson Comprehensive Cancer Center aim to overcome brain tumor's limited treatment options with ERAS-801, a brain-penetrant inhibitor showing promise in preclinical models. The team is testing the treatment in early clinical trials for patients diagnosed with glioblastoma.
Researchers found that tumors with metastasis to the brain respond better to immunotherapy due to effective priming outside the brain. Glioblastoma, an aggressive brain cancer, does not respond well due to impaired priming step.
A new study from the University of Michigan Department of Neurosurgery and Rogel Cancer Center shows promising early results that a therapy combining cell-killing and immune-stimulating drugs are safe and effective in extending survival for patients with gliomas, a highly aggressive form of brain cancer. The treatment improved survival...
A pioneering study published in Cancer Cell finds that brain metastasis alters the brain's chemistry and disrupts neuronal communication. Researchers discovered a molecule, EGR1, that may play a role in this process, paving the way for potential drug development to alleviate neurocognitive effects.
Researchers at Kanazawa University found a link between nuclear pore complex alterations and glioblastoma. They demonstrated that NUP107 proteins overexpression degrades the function of p53, a crucial cancer-preventing protein. Further studies are needed to uncover the molecular pathways at play.
Recent research on gamma delta T cells has made significant progress in understanding their role in antitumor immune response. Key findings include the identification of various hidden mechanisms and a strong association between tumor-infiltrating gamma delta T cells and patient survival.
Researchers at Michigan Medicine have discovered a potential treatment for diffuse midline glioma, a type of childhood brain tumor with no effective treatments. The compound ONC201 nearly doubled survival rates in patients with the disease, and the underlying mechanism behind its success has been explained.
Researchers find immunotherapy treatment anti-CTLA-4 leads to greater survival in mice with glioblastoma and discover new way cells kill cancer by triggering microglia, specialized immune cells in the brain. This breakthrough could lead to more effective treatments for human brain cancer.
Researchers at Uppsala University developed a new method to identify mutations in childhood brain tumors, medulloblastoma. The study found that these mutations can affect how cancer cells respond to certain drugs, suggesting a potential for precision medicine.
Researchers investigated H3K27me3 expression patterns in pediatric brain tumors, finding a global loss of this epigenetic mark in diffused midline glioma (DMG). This loss was associated with high relapse rates and poor survival, highlighting the potential for targeting H3K27me3 as an epigenetically guided cancer therapy.