Results 81 to 90 of about 109,722 (264)

Letter regarding Zhao et al. entitled “ gene polymorphisms are associated with risk and chemotherapy prognosis in pediatric patients with acute lymphoblastic leukemia”

Tumor Biology, 2017
Zhao et al. investigated the association between germline genetic polymorphisms in DPYD , the gene encoding dihydropyrimidine dehydrogenase, and (1) the risk of developing pediatric acute lymphoblastic leukemia and (2) outcome of acute lymphoblastic ...
Maarten J Deenen, Linda M Henricks, Gabe S Sonke, Jan HM Schellens, Didier Meulendijks   +4 more
doaj   +1 more source

The Notch driven long non-coding RNA repertoire in T-cell acute lymphoblastic leukemia

Haematologica, 2014
Genetic studies in T-cell acute lymphoblastic leukemia have uncovered a remarkable complexity of oncogenic and loss-of-function mutations. Amongst this plethora of genetic changes, NOTCH1 activating mutations stand out as the most frequently occurring ...
Kaat Durinck, Annelynn Wallaert, Inge Van de Walle, Wouter Van Loocke, Pieter-Jan Volders, Suzanne Vanhauwaert, Ellen Geerdens, Yves Benoit, Nadine Van Roy, Bruce Poppe, Jean Soulier, Jan Cools, Pieter Mestdagh, Jo Vandesompele, Pieter Rondou, Pieter Van Vlierberghe, Tom Taghon, Frank Speleman   +17 more
doaj   +1 more source

Payload‐Based Clinical Pharmacology Review of Approved Antibody–Drug Conjugates: Commonalities and Considerations for Streamlined Development

Clinical Pharmacology &Therapeutics, EarlyView.
Antibody–drug conjugates (ADCs) combine the specificity of an antibody with the potency of a cytotoxic drug. Thirteen ADCs, utilizing seven unique cytotoxic payloads and targeting 11 distinct antigens, are currently approved by the US Food and Drug Administration as of June 2025, representing a rapidly growing and highly promising class of anticancer ...
Sijie Lu, Qingqing Xiao, Lixuan Qian, Siyuan Sun, Zhu Zhou, Michael Z. Liao, Chunze Li   +6 more
wiley   +1 more source

Attenuated measles virus controls pediatric acute B-lineage lymphoblastic leukemia in NOD/SCID mice

Haematologica, 2014
Novel therapies are needed for pediatric acute lymphoblastic leukemia resistant to conventional therapy. While emerging data suggest leukemias as possible targets of oncolytic attenuated measles virus, it is unknown whether measles virus can eradicate ...
Nike C. Lühl, Felix Zirngibl, Carmen Dorneburg, Jiwu Wei, Meike Dahlhaus, Thomas F.E. Barth, Lüder H. Meyer, Manon Queudeville, Sarah Eckhoff, Klaus-Michael Debatin, Christian Beltinger   +10 more
doaj   +1 more source

Genetic Determinants of Treatment‐Related Bone Toxicity in Pediatric Acute Lymphoblastic Leukemia

Clinical Pharmacology &Therapeutics, EarlyView.
Osteonecrosis and fractures are serious corticosteroid‐induced bone toxicities in children treated for acute lymphoblastic leukemia, yet their genetic determinants remain incompletely defined. In this study, we aimed to identify novel genetic contributors to bone toxicity and to evaluate the robustness of both newly identified and previously ...
Rachid Abaji, Vincent Gagné, Émilie Espagne, Nathalie Alos, Veronica Del Vecchio, Lamia Ait Said, Albert Shalmiev, Claire Fuchs, Caroline Laverdière, Jean‐Marie Leclerc, Stephen E. Sallan, Lewis B. Silverman, Daniel Sinnett, Thai Hoa Tran, Maja Krajinovic   +14 more
wiley   +1 more source

Model‐Based Analysis with Mechanistic Insights to CAR‐T‐Cell Therapy Kinetics: Case Study with Axicabtagene Ciloleucel and Brexucabtagene Autoleucel

Clinical Pharmacology &Therapeutics, EarlyView.
Model‐informed drug development is increasingly used to support chimeric antigen receptor (CAR)‐T‐cell therapy programs. However, most population pharmacokinetic (PK) CAR‐T‐cell models available in literature are variations of an empirical piecewise‐linear model, which accurately describes the observed data but lacks a mechanistic foundation.
Anna M. Mc Laughlin, Martin Bergstrand, Ana Ruiz‐Garcia, Simone Filosto, Rhine Shen   +4 more
wiley   +1 more source

CytoScan: Automated Detection of Technical Anomalies for Cytometry Quality Control

Cytometry Part A, EarlyView.
ABSTRACT Studies evaluating cellular phenotypes by cytometry techniques are increasingly facing analytical challenges due to the multitudes of samples and parameters that are evaluated concurrently. Spurious technical effects resulting from a lack of standardization can affect marker distributions and further complicate multi‐sample analyses.
Tim R. Mocking, Felix Zwolle, Yejin Park, Angèle Kelder, Yvan Saeys, Jacqueline Cloos, Sofie van Gassen, Costa Bachas   +7 more
wiley   +1 more source

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

Cytometry 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

Genetic alterations in myeloid sarcoma among acute myeloid leukemia patients: insights from 37 cohort studies and a meta-analysis

Frontiers in Oncology
IntroductionVariations in mutation rates among acute myeloid leukemia (AML) patients with myeloid sarcoma (MS) underscore the need for a thorough examination. This meta-analysis was conducted to fill the information gap concerning mutation frequencies in
Suvijak Untaaveesup, Sasinipa Trithiphen, Kamolchanok Kulchutisin, Tarinee Rungjirajittranon, Tarinee Rungjirajittranon, Nattawut Leelakanok, Sujitra Panyoy, Thanapon Kaokunakorn, Weerapat Owattanapanich, Weerapat Owattanapanich   +9 more
doaj   +1 more source

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

Cytometry 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, Muir Morrison, Mattia Medina Grespan, Nicholas C. Spies, David P. Ng   +4 more
wiley   +1 more source