Results 111 to 120 of about 149,070 (296)

The ITGB2‐COPS3‐SOX2 Axis and SOX2 Liquid‐Liquid Phase Separation: Dual Mechanisms Governing Osteosarcoma Stemness

open access: yesAdvanced Science, EarlyView.
Osteosarcoma stemness is driven by the ITGB2‐COPS3‐SOX2 signaling axis. This study reveals that nuclear COPS3 stabilizes SOX2, which in turn undergoes liquid‐liquid phase separation to promote stemness. Based on this mechanism, a novel COPS3 inhibitor, Z‐5891, was developed, effectively suppressing tumor growth and stemness in vivo, offering a ...
Lei Guo   +7 more
wiley   +1 more source

Pancancer Fine‐Mapping of Mutational Intolerance Identifies CHEK1 as an Immunosuppressive Driver in Lung Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
This study identifies mutation‐intolerant genes (MIGs), which are mutationally constrained in tumors despite normal‐tissue variability. Using miDriver, the authors pinpoint MIGs essential for tumor‐intrinsic fitness and immune evasion. Focusing on CHEK1, they show it drives tumor fitness and sculpts an immunosuppressive niche via the MIF–CD74 axis ...
Tao Wang   +16 more
wiley   +1 more source

Cryoablation Activates the cGAS–STING‐CXCL10 Axis in Macrophages to Enhance Anti‐Tumor Immunity in NSCLC

open access: yesAdvanced Science, EarlyView.
Tumor dsDNA released by cryoablation is taken up by macrophages, activating the cGAS‐STING signaling pathway. This leads to an expansion of the CXCL10+ macrophage pool and increased secretion of CXCL10, which in turn recruits CXCR3+ T cells from draining lymph nodes into the tumor microenvironment to exert anti‐tumor effects.
Xinxin Zhi   +17 more
wiley   +1 more source

Mutation of Tp53 in a Patient with Aggressive Central Nervous System Solitary Fibrous Tumor/Hemangiopericytoma

open access: green, 2020
Axel de Bernardi   +5 more
openalex   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
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

PB2066 DAMAGE OF THE TP53 GENE POLYADENYLATION SIGNAL IN DLBCL

open access: gold, 2019
Е. Н. Воропаева   +4 more
openalex   +1 more source

Age of diagnosis of colorectal cancer in HNPCC patients is more complex than that predicted by R72P polymorphism in TP53 [PDF]

open access: bronze, 2005
Bente A. Talseth‐Palmer   +5 more
openalex   +1 more source

Patient‐Derived 3D‐Bioprinted Intrahepatic Cholangiocarcinoma Models Recapitulate Tumor Autologous Traits and Predict Personalized Adjuvant Therapy

open access: yesAdvanced Science, EarlyView.
Leveraging 3D bioprinting, this study establishes patient‐derived in vitro models of intrahepatic cholangiocarcinoma. These models faithfully recapitulate the histopathology, molecular profiles, and genomic characteristics of the original patient tumors.
Yuce Lu   +23 more
wiley   +1 more source

Tracking sub-clonal TP53 mutated tumor cells in human metastatic renal cell carcinoma [PDF]

open access: diamond, 2015
Guilhem Bousquet   +11 more
openalex   +1 more source

Post‐Translational Regulation of CD8+ T Cell Fate and Dysfunction in Tumor Immunity

open access: yesAdvanced Science, EarlyView.
This review delineates how post‐translational modifications (PTMs) function as a central regulatory interface governing CD8+ T cell activation, differentiation, persistence, and exhaustion in antitumor immunity. By integrating antigenic, metabolic, and microenvironmental cues, diverse PTM programs coordinate transcriptional and chromatin states that ...
Zihao Zhou   +8 more
wiley   +1 more source

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