Results 241 to 250 of about 24,047,971 (353)
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou+5 more
wiley +1 more source
Advances in mRNA vaccine therapy for breast cancer research. [PDF]
Li JY, Jiang RY, Wang J, Wang XJ.
europepmc +1 more source
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban+12 more
wiley +1 more source
GEPIA3: Enhanced drug sensitivity and interaction network analysis for cancer research. [PDF]
Kang YJ+5 more
europepmc +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik+4 more
wiley +1 more source
Development of tetraculture spheroids as a versatile 3D model for personalized breast cancer research. [PDF]
Piwocka O+4 more
europepmc +1 more source