Results 181 to 190 of about 1,054,375 (301)
Macrophage Extracellular Traps in Immunity and Cancer
As a macrophage‐mediated innate defense mechanism, the dysregulated release of METs drives chronic inflammation and influences tumor progression. Furthermore, METs exhibit a functional duality within the tumor microenvironment, capable of both promoting and suppressing tumor development.
Junyao Li +5 more
wiley +1 more source
Identification of hub genes in bladder transitional cell carcinoma through ceRNA network construction integrated with gene network analysis. [PDF]
Wang H +8 more
europepmc +1 more source
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Increased expression of POLR3G predicts poor prognosis in transitional cell carcinoma. [PDF]
Liu X +5 more
europepmc +1 more source
This study developed an eEF2K‐targeting PROTAC, A6, that efficiently degrades eEF2K in TNBC cells, inhibiting tumor growth in vitro and in vivo. To enhance tumor‐specific delivery, we engineered A6@ZIF‐8, a pH‐sensitive nanocarrier, which improved drug accumulation at tumor sites, offering a promising therapeutic strategy for TNBC through targeted ...
Shijun Cao +10 more
wiley +1 more source
SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source

