Results 151 to 160 of about 202,276 (321)
ABSTRACT Diffuse large B‐cell lymphoma (DLBCL) is the most common non‐Hodgkin lymphoma and is an aggressive and highly heterogeneous tumor. Kaempferitrin (KPF) is a natural flavonoid glycoside that exerts a protective role in multiple human tumors. However, the impact of KPF on DLBCL remains unclear.
Han‐Shuo Zhang +3 more
wiley +1 more source
The role of the host—Neutrophil biology
Abstract Neutrophilic polymorphonuclear leukocytes (neutrophils) are myeloid cells packed with lysosomal granules (hence also called granulocytes) that contain a formidable antimicrobial arsenal. They are terminally differentiated cells that play a critical role in acute and chronic inflammation, as well as in the resolution of inflammation and wound ...
Iain L. C. Chapple +4 more
wiley +1 more source
A case of sebaceous carcinoma with gastric diffuse large B cell Lymphoma.
Takeshi Nishiguchi +2 more
openalex +2 more sources
ABSTRACT Ibrutinib resistance remains a major obstacle in the treatment of diffuse large B‐cell lymphoma (DLBCL). Fat mass and obesity‐associated protein (FTO) has been implicated in drug resistance through its regulation of N6‐methyladenosine (m6A) modifications; however, whether FTO mediates ibrutinib resistance in DLBCL remains unclear.
Ting‐Ting Lu +5 more
wiley +1 more source
Beyond PD‐1/PD‐L1: New Immune Checkpoints and Therapeutic Combinations in Cancer Immunotherapy
ABSTRACT Recently, immune checkpoint inhibitors (ICIs), particularly PD‐1/PD‐L1 and CTLA‐4 inhibitors, have revolutionized cancer treatment, significantly improving survival rates for various malignancies. However, ICI therapies targeting single checkpoints on T cells still face numerous challenges, such as low response rates and post‐treatment ...
Yangyang Li, Zizhen Kang, Yanyun Du
wiley +1 more source
Diffuse large B-cell lymphoma of thyroid gland: A case report
Bala Koteswara Rao P +4 more
openalex +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Examining Racial Disparities in Diffuse Large B-Cell Lymphoma (DLBCL) Outcomes within the Veterans Health Administration (VHA) [PDF]
Andrew Ta +23 more
openalex +1 more source
Loss‐of‐Function Variants in CPT1C: No Support for a Causal Role in Hereditary Spastic Paraplegia
Abstract Background Hereditary spastic paraplegias (HSPs) are neurodegenerative disorders characterized by lower‐limb spasticity. Pathogenic variants in CPT1C have been implicated in HSP. Objective The objective of this study was to assess whether CPT1C loss‐of‐function (LOF) variants are causally associated with HSP.
Rui Zhu +17 more
wiley +1 more source

