Results 241 to 250 of about 2,749,776 (308)

First- vs second-line CDK 4/6 inhibitor use for patients with hormone receptor positive, human epidermal growth-factor receptor-2 negative, metastatic breast cancer in the real world setting [PDF]

Gretchen Kimmick, Asal Pilehvari, Wen You, Gloribel Bonilla, Roger T. Anderson   +4 more
openalex   +1 more source

Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models

Advanced Functional Materials, EarlyView.
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen, Sabah Kasmi, Shrinivas Dumbre, Lies Baekens, Elise Seynaeve, Louise Van den Hauwe, Niccolò Cantini, Aello Garantoudi, Filipe Branco Madeira, Alain Marrot, Emma Tuypens, Sofie Seghers, Anna Kuchmiy, Elisabeth Brabants, Bart Vanderborght, Ine Maes, Sarah Vandenberghe, Jessica Filtjens, Alícia Gordún Peiró, Daliya Kancheva, Ayla Debraekeleer, Florence Lambolez, Emily De Lombaerde, Yong Chen, Rafael Miyazawa Martins, Pauline Formaglio, Damya Laoui, Sofie Deschoemaeker, Bruno G. De Geest, Rogerio Amino, Stefaan De Koker   +30 more
wiley   +1 more source

MDSCs in Breast Cancer: Metastasis, Lipid Metabolism, and Therapeutics. [PDF]

Mol Cancer Res
Kim U, Chakrabarti R.
europepmc   +1 more source

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

Advanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

RETRACTION: The PI3K/mTOR Dual Inhibitor NVP‐BEZ235 Stimulates Mutant p53 Degradation to Exert Anti‐Tumor Effects on Triple‐Negative Breast Cancer Cells

FEBS Open Bio, EarlyView.
RETRACTION: J. Cai, J. Xia, J. Zou, Q. Wang, Q. Ma, R. Sun, H. Liao, L. Xu, D. Wang, and X. Guo, “The PI3K/mTOR Dual Inhibitor NVP‐BEZ235 Stimulates Mutant p53 Degradation to Exert Anti‐Tumor Effects on Triple‐Negative Breast Cancer Cells,” FEBS Open Bio 10, no. 4 (2020): 535–545, https://doi.org/10.1002/2211‐5463.12806.
wiley   +1 more source

Fluorescent Nanodiamonds Based Theranostic Platform for pH‐Sensitive Drug Delivery and Quantum Sensing

Advanced Functional Materials, EarlyView.
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu, Siyu Fan, Yue Zhang, Willem Woudstra, Thomas Mulder, Laurens Boscher Navarro, Jur van Dijken, Katja Loos, Romana Schirhagl   +8 more
wiley   +1 more source

Potential Targets and Biomarkers of Radionuclide Therapy in Breast Cancer. [PDF]

Cancer Innov
Tan Y, Zeng C, Wang J, Ma F.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source