Results 191 to 200 of about 263,515 (247)

Engineered Bacteria‐Vesicle Delivered Lactate Reprogramming Boosts Tumor Radiosensitivity

Advanced Science, EarlyView.
We engineered a bacterial‐vesicular dual‐delivery platform that targets LOx to colorectal tumors, enabling lactate clearance, immune microenvironment remodeling, and microbiota modulation. This microbe–metabolism synergistic strategy effectively sensitizes colorectal cancer to radiotherapy, offering a promising approach to overcome radioresistance ...
Fei Peng, Zhe Lei, Zhehao Zhang, Zhiyue Su, Chonghai Zhang, Huan Yang, Shu Liu, Mengyuan Hu, Yuhong Wang, Lingchuan Guo, Lin Hu, Kai Yang   +11 more
wiley   +1 more source

Loss of <i>CDKN2A/B</i> is a Hallmark of RTK II Glioblastomas. [PDF]

J Cancer
Langwieder CK, Hölzl D, Hutarew G, Schlicker HU, Alinger-Scharinger B, Schwartz C, Sotlar K, Kraus TFJ.   +7 more
europepmc   +1 more source

Supplementary Figure S5 from Safety and Efficacy of Anlotinib Hydrochloride Plus Temozolomide in Patients with Recurrent Glioblastoma

Qingsheng Xu, Kaiyuan Huang, Xiangqi Meng, Yuxiang Weng, Luyuan Zhang, Linghao Bu, Xiujue Zheng, Jinquan Cai, Renya Zhan, Qun Chen   +9 more
openalex   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Development of a comparative high-throughput screening platform for identifying glioblastoma subtype specific inhibitors

Zilai Wang, Pin Zhang, Kiira Ratia, Ahmad Daher, Zongmin Zhao, Paul R. Carlier, Yuwei Jiang, Lijun Rong   +7 more
openalex   +1 more source

Evaluating vacquinol-1 in rats carrying glioblastoma models RG2 and NS1

, 2018
Jonatan Ahlstedt, Karolina Förnvik, Shaian Zolfaghari, Dongoh Kwak, Lars G.J. Hammarström, Patrik Ernfors, Leif G. Salford, Henrietta Nittby Redebrandt   +7 more
openalex   +2 more sources

RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia

Advanced Intelligent Systems, EarlyView.
Here, we present RanBALL, an ensemble random projection‐based model for accurate and cost‐effective identification of B‐cell acute lymphoblastic leukemia subtypes is presented. By preserving patient‐to‐patient distance after dimension reduction by random projection and ensemble learning, RanBALL can facilitate the discovery of B‐ALL subtype‐specific ...
Lusheng Li, Hanyu Xiao, Xinchao Wu, Zhenya Tang, Joseph D. Khoury, Jieqiong Wang, Shibiao Wan   +6 more
wiley   +1 more source

Surface Avidity of Anionic Polypeptide Coatings on Layer‐by‐Layer Nanoparticles Target Cancer‐Associated Amino Acid Transporters

Angewandte Chemie, EarlyView.
Electrostatically layered nanoparticles (NPs) coated with anionic polypeptides selectively target cancer cells by engaging amino acid transporters. Poly(L‐glutamate) (PLE) coatings cluster the glutamine transporter SLC1A5, prolonging NP surface retention, while poly(L‐aspartate) (PLD) coatings also bind SLC1A3, potentially promoting faster ...
Ivan S. Pires, Margaret M. Billingsley, Ezra Gordon, Andrew J. Pickering, Eva Cai, Gonzalo J. Esparza, Mae L. Pryor, Alexander D. Stoneman, Aidan Kindopp, Darrell J. Irvine, Paula T. Hammond   +10 more
wiley   +2 more sources

Integrating molecular profiling into glioma diagnosis: implications of the WHO-CNS5-2021 classification of adult-type diffuse gliomas in Colombian patients. [PDF]

Front Neurol
Echeverría O, Patiño-Aldana AF, Chinchilla AM, Contreras N, Peralta S, Caballero N, Tovar HV, Palacio JM, Uribe V, Mineo-Pachón M, Velandia F, Castillo WMR, Valero N, Silgado-Guzmán DF, Ondo-Mendez A, Fonseca-Mendoza DJ.   +15 more
europepmc   +1 more source

Cross-scale prediction of glioblastoma MGMT methylation status based on deep learning combined with magnetic resonance images and pathology images

Xusha Wu, Wei Wei, Yan Li, Menghang Ma, Zhenyuan Hu, Yongqiang Xu, Wenzhong Hu, Gang Chen, Rui Zhao, Xiaowei Kang, Xiaoliang Zhang, Hong Yin, Yibin Xi   +12 more
openalex   +1 more source