Results 71 to 80 of about 58,391 (264)

Harnessing ferroptosis from multilayer defense networks to nanoplatforms for specific cancer therapy

open access: yesBMEMat, EarlyView.
Nanomaterials target metabolically‐regulated ferroptosis for cancer therapy. Iron‐based or alternative nanoplatforms integrate ferroptosis with chemotherapy, immunotherapy, or radiotherapy. They enable stimulus‐responsive therapies (photothermal, photodynamic, sonodynamic) activated by near‐infrared, light, or ultrasound, achieving potent synergistic ...
Xinyue Xu   +5 more
wiley   +1 more source

Vitamin D receptor expression in germinal centre type diffuse large B-cell lymphoma cells is associated with vitamin D insensitivity

open access: yesEndocrine Oncology
Objective: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous group of non-Hodgkin lymphomas (NHLs) often sub-classified into major germinal centre (GC) and activated B-cell (ABC) cell-of-origin types.
Elizabeth J Soilleux   +8 more
doaj   +1 more source

Essential role of CD38 in platelet aggregation through the PKC- mediated internalization and activation [PDF]

open access: yesBioImpacts
Introduction: CD38 is a multifunctional enzyme with a potent Ca2+ mobilizing effect, cyclic ADP-ribose (cADPR), and nicotinic acid adenine dinucleotide phosphate (NAADP).
Mazhar Mushtaq   +3 more
doaj   +1 more source

Flow cytometry‐based monitoring of chimeric antigen receptor (CAR) T cells: Reagent selection, assay design, and clinical utility

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Accurate quantification of chimeric antigen receptor (CAR) T cells is essential for monitoring post‐infusion CART expansion and persistence and for real‐time clinical decision‐making. Multiparameter flow cytometry (MFC) enables rapid, live‐cell detection with absolute quantification and concurrent immunophenotypic characterization. This review
Jianhua Ling, Wei Wang, Sa A. Wang
wiley   +1 more source

Expression of mRNA CD16A, CD16B, ICAM1, CD38, FOXP3 in tumor tissue of patients with clear cell renal cell carcinoma

open access: yesМедицинская иммунология
Diagnosis of kidney cancer presents significant difficulties, since symptoms of the disease may appear only at an advanced stage. Special attention is paid to the search for biomarkers that allow for rapid and effective tumor diagnosis and disease ...
Z. V. Amoev   +6 more
doaj   +1 more source

CD38 as theranostic target in oncology

open access: yesJournal of Translational Medicine
CD38 is a multifunctional transmembrane glycoprotein found in multiple tissues and overexpressed in many cancer cells, notably in hematological malignancies such as leukemia and multiple myeloma (MM). Therefore, targeting CD38 remains an attractive strategy for cancer treatment in hematological malignancies as well as in solid tumors.
Valentina Bocuzzi   +7 more
openaire   +4 more sources

Establishment of pediatric reference ranges for circulating naïve and memory T and B cell subsets guided by the human immunophenotyping consortium standardization initiative: A large, single center U.S. experience

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Our knowledge of the immune system continues to expand at a rapid pace, and this coupled with technological advances now enables us to interrogate both the breadth and the depth of the immune response at levels without precedent. This has also facilitated rapidly integrating some of this carefully vetted knowledge into clinical practice ...
Aaruni Khanolkar, Aisha Ahmed
wiley   +1 more source

Functional evidence that progenitor cells near sites of inflammation are precursors for aggressive prostate cancer

open access: yesMolecular & Cellular Oncology, 2017
While chronic inflammation has been causally associated with several epithelial malignancies, whether it causally contributes to the development of prostate cancer has remained unclear.
Preston D. Crowell, Andrew S. Goldstein
doaj   +1 more source

DinoFlow: Self‐supervised pretraining in flow cytometry enables accurate detection of common hematopathological disorders

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Flow cytometry is an essential component of routine hematological lab testing. Many computational methods have been proposed for the analysis of flow cytometry data, but most have focused on supervised learning for just one or a few specific disorders.
Brendan O'Fallon   +4 more
wiley   +1 more source

Automated B‐cell and plasma cell identification using unsupervised clustering by FlowSOM and an excel‐based classification model

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Manual gating for plasma cell (PC) identification in multiparametric flow cytometry (MFC) is time‐consuming and operator‐dependent, especially when PCs are scarce. Artificial intelligence approaches such as unsupervised clustering (e.g., FlowSOM) map high‐dimensional data that still require expert interpretation.
Ethan James Gantana   +3 more
wiley   +1 more source

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