Results 181 to 190 of about 50,635 (295)

DNA copy number patterns reveal prognostic markers and elucidate mechanisms of evolution in IDH-mutant astrocytoma. [PDF]

Neuro Oncol
Drucker KL, Panda A, Decker PA, Kosel ML, Kollmeyer TM, Burns TC, Maqbool MA, Shafqat S, Suvakov M, Zadeh G, Giannini C, Vaubel R, Raghunathan A, Parney IF, Kizilbash SH, Ida CM, Abyzov A, Lachance DH, Eckel-Passow JE, Jenkins RB.   +19 more
europepmc   +1 more source

Fully Humanized Bispecific T Cell Engager Shows Potent Activity in Central Nervous System and Peripheral Tumors

Advanced Science, Volume 13, Issue 35, 24 June 2026.
This study reports the development of a fully humanized bispecific T cell engager targeting IL13RA2, a tumor‐associated antigen enriched in glioblastoma. This off‐the‐shelf immunotherapy drives potent, antigen‐dependent T cell activation and tumor killing, and prolongs survival in experimental GBM and other solid tumors models without detectable off ...
Joseph T. Duffy, Angela Martin‐Regalado, Benedikt E. Haupt, Jacob R. Pogue, Aditi Thakur, Manuel Fierro Cota, Markella Zannikou, Sol Misener, Vera P. Krymskaya, Kathleen McCortney, Jason Miska, Craig Horbinski, Dmitri Simberg, Maciej S. Lesniak, Charles D. James, Roger Stupp, Irina V. Balyasnikova   +16 more
wiley   +1 more source

Current and emerging therapies in IDH-mutant glioma. [PDF]

Neurotherapeutics
Nakhate V, Youssef G, Wen PY.
europepmc   +1 more source

Comprehensive Genomic Profiles of Patients With Biliary Tract Cancer

Cancer Medicine, Volume 15, Issue 6, June 2026.
ABSTRACT Purpose Biliary tract cancer (BTC) represents a heterogeneous disease with highly lethal malignancy and poor clinical outcomes. Here, we aimed to evaluate its genomic profiles to promote the development of precision medicine for BTC. Materials and Methods Genomic analysis of 134 BTC patients was performed by using targeted panel sequencing in ...
Xia Yang, Tao Zhu, Xiaotong Hu, Zhinong Jiang, Hongchuan Jin   +4 more
wiley   +1 more source

A Vascular-Extracellular Matrix Molecular Program Identifies High-Risk Diffuse Glioma Across Independent Multi-Omics. [PDF]

Cancers (Basel)
Saleh SH, Akbar A, Arshad F, Shaikh S, Mavrych V, Bolgova O, Barakzai A, Abu-Zaid A, Khan MI, Arora I, Yaqinuddin A.   +10 more
europepmc   +1 more source

C1orf226 Promotes Glioma Stemness and Oncogenesis in Glioma via PLK1‐Mediated Wnt/β‐Catenin Signaling

Cancer Medicine, Volume 15, Issue 6, June 2026.
High C1orf226 expression correlates with glioma aggressiveness and worse prognosis. C1orf226 promotes malignant phenotypes and stemness in glioma cells. C1orf226 interacts with PLK1 to stabilize β‐catenin and activate the Wnt/β‐catenin pathway. ABSTRACT Introduction Glioma stem cells (GSCs) are pivotal drivers of tumor progression and therapeutic ...
Yanbing Lu, Chao Jiang, Hongfei Wu, Junkui Shang, Bin Wang, Shundong Cang, Jiewen Zhang   +6 more
wiley   +1 more source

Familial p.(Ala73Thr) Variant in GNB2 Associated With Mild Neurodevelopmental Features and Pilocytic Astrocytoma

Clinical Case Reports, Volume 14, Issue 6, June 2026.
ABSTRACT Pathogenic variants in GNB2 have been associated with a neurodevelopmental disorder that includes global developmental delays and intellectual disability, hypotonia, increased risk for seizures, heart and renal anomalies, and characteristic facial features.
Megan Glassford, Caroline Jennings, Anne Slavotinek   +2 more
wiley   +1 more source

Subtypes of Hypertension 2 to 7 Years After First Pregnancy. [PDF]

Hypertension
Brubaker LH, Catov JM, Bairey Merz CN, Barnes S, Barone Gibbs B, Booker W, Chung JH, Greenland P, Grobman WA, Khan SS, Lane A, Levine LD, McNeil RB, Miller EC, Muldoon MF, Ray M, Saade GR, Scifres CM, Silver RMB, Simhan H, Yee LM, Hauspurg A.   +21 more
europepmc   +1 more source

Machine Learning for Raman Spectroscopy Glioblastoma Classification

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT This study presents a comprehensive evaluation of various computational models for glioblastoma cell classification using Raman spectroscopy data. We compare traditional machine learning methods such as support vector machines, boosting and random forests with more modern methods including convolutional neural networks, vision transformers and
Brendan McCane, Irsyaad Rijwan, Sara J. Fraser‐Miller, Silke Neumann, Donata Maciaczyk, Jaroslaw Maciaczyk, Keith Gordon   +6 more
wiley   +1 more source

Machine learning model for predicting hypotension following continuous renal replacement therapy initiation in end-stage kidney disease patients: a SHAP-interpretable approach. [PDF]

Front Med (Lausanne)
Qiu S, Qiu D, Tao Y, Fu P, Bai J, Cao N.
europepmc   +1 more source