Results 91 to 100 of about 741,060 (264)
This work introduces a “cancer‐in‐a‐well” technology that recreates tumor heterogeneity in vitro using multitype spheroid arrays. Combining bioprinting/microdispensing with microstructured culture devices, the system improves drug screening and modeling of tumor complexity.
Simone Bonetti +10 more
wiley +1 more source
Background Epidermal growth factor receptor (EGFR) mutations, including a known exon 19 deletion (19 del) and exon 21 L858R point mutation (L858R mutation), are strong predictors of the response to EGFR tyrosine kinase inhibitor (EGFR-TKI) treatment in ...
Jiang-Yong Yu +7 more
doaj +1 more source
Advanced Materials for Biologics Delivery to Brain Tumors
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng +4 more
wiley +1 more source
Background and objective It has been demonstrated that epidermal growth factor receptor (EGFR) signal pathway had an important role in the oncogenesis and development of non-small cell lung cancer (NSCLC). Small-molecule tyrosine kinase inhibitors (TKIs)
Qinghua ZHOU +12 more
doaj
An association between epidermal growth factor receptor (EGFR) and clinical characteristics of non-small cell lung cancer (NSCLC) was reported ten years ago. In addition, a different type of relationship was seen in different ethic races.
Wen-E Wei +9 more
doaj +1 more source
V843I, a Lung Cancer Predisposing EGFR Mutation, Is Responsible for Resistance to EGFR Tyrosine Kinase Inhibitors [PDF]
IntroductionWe previously demonstrated that a family predisposed to lung cancer harbored a V843I substitution in the epidermal growth factor receptor (EGFR) protein.
Nakamura, Hiroyuki +17 more
core +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Wenting Jiang,1,* Han Wang,1,* Yongmei Cui,1,* Yiyan Lei,2 Yuefeng Wang,1 Di Xu,3 Neng Jiang,1 Yangshan Chen,1 Yu Sun,1 Yang Zhang,4 Jessica Cao,5 Zunfu Ke1 1Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou ...
Zhang Y +11 more
core
Tissue Heterogeneity of EGFR Mutation in Lung Adenocarcinoma [PDF]
Tissue heterogeneity of EGFR gene mutation was studied in 10 formalin-fixed paraffin-embedded (FFPE) samples from four cases that demonstrated EGFR mutations in snap-frozen samples.
Lara-Guerra, Humberto +4 more
core +1 more source
Selenium Nanoparticles Selectively Target KRAS G13D to Inhibit Colorectal Cancer
The mechanisms of SeNPs therapy in cancer treatment, encompass three parallel actions: (1) seleno‐amino acids, key metabolites, upregulate GPX2 expression, thereby inhibiting tumor metastasis via the GPX2‐HIF1α‐VEGF signaling pathway; (2) selenite (SeO32−), an inorganic metabolite, forms hydrogen bonds with amino acid residues 13–17 of the KRAS G13D ...
Xiaoting Liu +13 more
wiley +1 more source

