Results 161 to 170 of about 99,201 (311)
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
HNRNPD promotes radioresistance in nasopharyngeal carcinoma by enhancing stress granule assembly and sequestering GRAMD4 mRNA. This suppresses GRAMD4 translation and inhibits mitochondrial apoptosis. Targeting the integrated stress response with ISRIB restores GRAMD4 expression and sensitizes tumors to radiotherapy, revealing a translational control ...
Yingzi Li +13 more
wiley +1 more source
Generation of CCR4/CD7 Bispecific CAR‐T Cells Resistant to Fratricide and Exhaustion
The applications of CAR T‐cell therapy in T‐cell malignancies face limitations such as fratricide, effector‐cell exhaustion, and antigen‐escape. Herein, we developed fratricide‐ and exhaustion‐resistant CAR‐T cells that targeted CCR4 and CD7 simultaneously, with optional EGFRt safety switch. Additionally, scRNA‐seq unveiled new molecular targets, which
Sile Li +10 more
wiley +1 more source
The inhibitory immune checkpoints HLA‐G and CD47 are expressed on certain tumor types and inhibit immune cells in the tumor microenvironment. DSP216 binds specifically to cancer cells expressing both HLA‐G and CD47, and blocks their inhibitory signaling.
Lisa J. Jacob +12 more
wiley +1 more source
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin +12 more
wiley +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
Unrelated cord blood transplants in adults with hematologic malignancies
We analyzed outcomes and risk factors after unrelated cord blood transplantation (CBT) in adults with hematologic ...
de Lima, M +13 more
core
Enhancing CAR‐T Cell Efficacy in Solid Tumors by Inhibiting CCL5/VEGF‐Mediated Angiogenesis
This study reveals that CAR‐T cells in solid tumors produce CCL5, which paradoxically induces VEGF and angiogenesis to promote tumor growth. Blocking CCL5/VEGF signaling—through gene knockout, or the CCR5 inhibitor maraviroc—significantly enhances the antitumor efficacy of CAR‑T therapy (the diagram was created in Biorender).
Shishuo Sun +15 more
wiley +1 more source
Management of thrombosis in patients with hematologic malignancies
The management of thrombosis in patients with cancer is a clinical challenge. Although the prevalence of thromboembolic complications in hematologic malignancies is lower than that reported for solid tumors, thrombotic events are increasingly being ...
Vianello F., Prandoni P., Piccioli A.
core
Prostate cancer is immunologically ‘cold’, with scarce, dysfunctional type 1 conventional dendritic cells (cDC1s) that limit T cell priming. We introduce an aptamer‐targeted liposomedelivering FMS‐like tyrosine kinase 3 ligand (Flt3L) and chlorin e6 (Ce6). Ultrasound induces antigen release and cDC1s recruitment, creating an in situ cDC1 vaccine.
Jiayi Wang +8 more
wiley +1 more source

