Narrative review suggests multi-omics AI models improve glioma radiotherapy response prediction over single-modality approaches
Glioma Radiotherapy Gets Smarter With Biomarker-Guided Dosing
This narrative review synthesizes evidence regarding multi-omics artificial intelligence models for predicting radiotherapy response in glio…
New biomarkers may help doctors tailor radiation doses for glioma patients, improving outcomes and reducing side effects.
LP-184 Alone and With Spironolactone in Recurrent Glioblastoma: Phase 1a Results
New drug combo may help brain cancer patients who have run out of options
This Phase 1a trial in 63 patients (16 with glioblastoma) found LP-184 was well tolerated but with more transaminitis and thrombocytopenia i…
A new drug combination could help brain cancer patients by making their current medicine work much harder inside the tumor.
Meta-analysis of TKI combinations in glioblastoma shows improved PFS and ORR with mixed safety signals
New Hope for Glioblastoma Patients Emerges
This meta-analysis evaluated combination treatments incorporating tyrosine kinase inhibitors (TKIs) versus TKI-free control regimens in 1,43…
Imagine getting the hardest diagnosis a person can hear: a fast-growing brain tumor with few good treatment options.
Systematic review and meta-analysis of intra-arterial cerebral infusion for glioma patients
Direct Drug Delivery May Help Brain Tumors
This systematic review and meta-analysis evaluated the safety and efficacy of selective intra-arterial cerebral infusion with blood-brain ba…
Imagine having a powerful medicine that stays right where it needs to work, instead of traveling through your whole body.
GSC-associated gene signature predicts survival in adult and pediatric high-grade glioma patients
New Brain Tumor Test Predicts Survival More Accurately
This cohort study evaluated a GSC-associated gene signature involving the FAM86B1/FAM86B2 axis in adult and pediatric high-grade glioma pati…
A new model uses specific genes to predict how long patients might live with aggressive brain tumors.
Unsupervised clustering of glioma RNAseq data shows diagnostic and prognostic potential
AI-powered analysis reveals hidden brain tumor subtypes with survival links
This unsupervised clustering analysis of public TCGA glioma RNAseq data (n=692) found high diagnostic concordance and prognostic separation.
A new AI method sorted brain tumors into groups that matched clinical diagnoses 91% of the time and uncovered subtypes tied to survival.
ERS-related DNA methylation profiles stratify glioblastoma patients into four subtypes with 92.4% prediction accuracy
New AI Tool Could Help Doctors Choose Better Brain Tumor Treatments
This cohort analysis of a TCGA glioblastoma population integrated ERS-related DNA methylation profiles with non-negative matrix factorizatio…
Scientists used AI to find hidden patterns in brain tumors that could lead to better treatment plans.
Radiomics from edema zone predicts progression-free survival in postoperative glioma patients
New MRI Scan Predicts Brain Tumor Return With High Accuracy
A retrospective cohort study of 89 postoperative glioma patients found that a radiomics model from the 2-cm edema zone on MRI predicted 1-ye…
A new MRI scan reads brain swelling patterns to predict if a brain tumor will grow back before symptoms appear.
Retrospective cohort of 443 glioma patients analyzed under successive WHO classifications from 2007 to 2021
Study reviews glioma diagnosis changes with updated WHO classification criteria
This retrospective analysis of a cohort from a high-volume Latin American center evaluated 443 patients undergoing elective tumor surgery be…
New WHO rules mean nearly a quarter of brain tumors in Latin America are now labeled 'not otherwise specified' due to limited molecular test…
Narrative review examines multimodal AI for glioma using neuroimaging and hematologic biomarkers
AI May Help Doctors Spot Brain Tumors Without Surgery
This narrative review explores the potential of multimodal artificial intelligence (AI) integrating neuroimaging and hematologic biomarkers …
This approach could make brain tumor diagnosis and monitoring less invasive and more precise.
Review of STING agonists for high-grade and diffuse midline glioma discusses systemic toxicity and delivery constraints
New Brain Drug Target Could Wake Up the Immune System
This narrative review examines the potential of STING agonists, cyclic dinucleotides, and related compounds for treating high-grade glioma a…
A new brain drug target aims to wake up the immune system's defenses against dangerous, hard-to-treat tumors that hide from the body's natur…
Narrative review explores CSF1R inhibitor potential in pediatric medulloblastoma precision immunotherapy
The Hidden Reason Children's Brain Tumors Respond So Differently to Treatment
This narrative review examines the role of CSF1R inhibitors as precision immunotherapy for pediatric medulloblastoma subtypes.
Each subtype of children's brain tumors has a unique immune fingerprint, meaning matching treatment to that specific environment could drama…
Research across Cancer
Related studies from across the Cancer family.
Review of glioma organoid models for mechanistic discovery and therapy development
Finally Lab-Grown Brain Models Could Speed Up Glioma Treatments
This narrative review summarizes glioma organoid model systems for studying tumor-neural interactions. It concludes these models provide a f…
• Tiny lab-grown brains mimic real tumor behavior better than old methods • Kids and adults fighting deadly brain cancers like glioblastoma …
Preoperative model predicts functional outcomes after glioma resection using clinical and MRI variables
AI predicts brain tumor recovery before surgery begins
This retrospective cohort study of 552 adults undergoing first resection of supratentorial contrast-enhancing glioma evaluated a preoperativ…
A new AI tool uses MRI scans to predict how well brain tumor patients recover after surgery and helps doctors plan care better.
Case report reviews capmatinib off-label use in two patients with radiation-induced MET-fusion glioma
Capmatinib Shows Promise Against Rare Brain Tumors
This case report with literature review describes off-label capmatinib use in two patients with radiation-induced gliomas harboring MET fusi…
A drug used for lung cancer is now helping some children with rare, deadly brain tumors live longer, even when standard treatments fail.
Recurrence patterns in high-grade glioma after standard chemoradiotherapy: a retrospective review
Why tumors grow back inside the radiation beam, not just at the edges
This retrospective single-center review of 41 patients with high-grade glioma found that central recurrence was the most common pattern (36.…
New data shows brain tumors often return in the middle of the radiation zone, suggesting biology, not just targeting errors, drives failure.
CyberKnife-SRT for brainstem glioma shows median overall survival of 20.9 months in retrospective cohort
CyberKnife May Help Rare Brain Tumor Patients Live Longer
This retrospective cohort study of 54 patients with brainstem glioma treated with CyberKnife-SRT found a median overall survival of 20.9 mon…
A new radiation technique called CyberKnife helps rare brainstem glioma patients live longer by sparing healthy tissue while treating the tu…
Locoregional CAR T-cell delivery reduces severe adverse events in high-grade glioma patients
Could a new way to deliver brain cancer therapy make it safer and more effective?
A meta-analysis of 14 clinical trials involving 194 high-grade glioma patients found locoregional CAR T-cell delivery was associated with re…
Delivering brain cancer therapy directly to the tumor instead of through the bloodstream cuts severe side effects by more than 60% and shows…
Questions about Glioma
How does the immune system interact with Glioma cells in the brain?
Glioma cells suppress immune attack by recruiting regulatory T cells, myeloid-derived suppressor cells, and tumor-associated macrophages, while also triggering ferroptosis via CD8+ T cell signals.
Full answer →Can RNA data help doctors predict the outcome of my Glioma diagnosis?
Yes, RNA data can help predict glioma outcomes by revealing molecular subtypes linked to survival, as shown in studies using unsupervised clustering of RNAseq data.
Full answer →Does having a high mutation burden help Glioma patients live longer on treatment?
No, high mutation burden does not help glioma patients live longer on treatment; it is linked to poor survival and low immunotherapy response.
Full answer →Can AI models predict how well my Glioma will respond to radiotherapy?
Yes, AI models that combine radiomics, dosiomics, and clinical data can predict radiotherapy response in glioma, but they are not yet standard clinical tools.
Full answer →