Results 61 to 70 of about 4,996,457 (177)
Antibody–drug conjugates (ADCs) transform breast cancer therapy, yet resistance limits their durability. Emerging evidence reveals that ADC failure is not solely tumor‐intrinsic but shaped by dynamic tumor–microenvironment interactions that alter drug delivery, processing, and response.
Minji Seo, Jangsoon Lee, Naoto T. Ueno
wiley +1 more source
Aerosolized miR-138-5p and miR-200c targets PD-L1 for lung cancer prevention
The development of chemopreventive strategies with the ability to prevent the progression of lung lesions to malignant cancers would reduce the mortality and morbidity resulting from this deadly disease.
Qi Zhang +11 more
doaj +1 more source
Abstract Circulating tumor cells (CTCs), particularly multicellular clusters, are associated with poor prognosis and may provide insight into mechanisms of metastasis and therapy resistance. Unbiased approaches for functionally characterizing CTCs in liquid biopsies are therefore urgently needed. Here, we evaluate multiplex imaging mass
Milind Pore +10 more
openaire +3 more sources
This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey +6 more
wiley +1 more source
Secondary Ion Mass Spectrometry Imaging of Dictyostelium discoideum Aggregation Streams [PDF]
High resolution imaging mass spectrometry could become a valuable tool for cell and developmental biology, but both, high spatial and mass spectral resolution are needed to enable this.
Pa��a-Toli��, Ljiljana +35 more
core +2 more sources
Summary: Immunotherapy targeting checkpoint blockade to rescue T cells from exhaustion has become an essential therapeutic strategy in treating cancers. Till now, little is known about the PD-L1 graphic pattern and characteristics in CD8+ T cells.
Yingxia Zheng +12 more
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Dry Deposition Strategies for MALDI–MS Imaging: Principles, Advances and Emerging Applications
ABSTRACT Matrix‐assisted laser desorption/ionisation mass spectrometry imaging (MALDI–MSI) has become a pivotal tool in biomedical research, enabling untargeted, spatially resolved analysis of molecular species in complex biological tissues. Among the critical steps in MALDI–MSI workflows, matrix deposition significantly influences sensitivity, spatial
Toufik Mahamdi, Oscar Yanes
wiley +1 more source
Integrative Clustering in Mass Spectrometry Imaging for Enhanced Patient Stratification [PDF]
Scope In biomedical research, mass spectrometry imaging (MSI) can obtain spatially-resolved molecular information from tissue sections. Especially matrix-assisted laser desorption/ionization (MALDI) MSI offers, depending on the type of matrix, the ...
Martin-Lorenzo, Marta +16 more
core +2 more sources
Highly multiplexed 2-dimensional imaging mass cytometry analysis of HBV-infected liver
Studies of human hepatitis B virus (HBV) immune pathogenesis are hampered by limited access to liver tissues and technologies for detailed analyses. Here, utilizing imaging mass cytometry (IMC) to simultaneously detect 30 immune, viral, and structural ...
Daniel Traum +22 more
doaj +1 more source

