MRD in Philadelphia Chromosome-Positive ALL: Methodologies and Clinical Implications.

Acute Lymphoblastic Leukemia Blinatumomab Inotuzumab Ozogamicin Measurable Residual Disease Philadelphia Positive Tisagenlecleucel

Journal

Current hematologic malignancy reports
ISSN: 1558-822X
Titre abrégé: Curr Hematol Malig Rep
Pays: United States
ID NLM: 101262565

Informations de publication

Date de publication:
18 Jun 2024
Historique:
accepted: 08 06 2024
medline: 18 6 2024
pubmed: 18 6 2024
entrez: 18 6 2024
Statut: aheadofprint

Résumé

Measurable residual disease (MRD) is integral in the management of Philadelphia chromosome-positive (Ph+) acute lymphoblastic leukemia (ALL). This review discusses the current methods used to evaluate MRD as well as the interpretation, significance, and incorporation of MRD in current practice. New molecular technologies have allowed the detection of MRD to levels as low as 10

Identifiants

pubmed: 38888822
doi: 10.1007/s11899-024-00736-9
pii: 10.1007/s11899-024-00736-9
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

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Auteurs

Valerie Tran (V)

Division of Hematology and Oncology, Department of Medicine, The University of Virginia, Charlottesville, VA, USA.

Kiarash Salafian (K)

Department of Medicine, The University of Virginia, Charlottesville, VA, USA.

Kenan Michaels (K)

Department of Medicine, The University of Virginia, Charlottesville, VA, USA.

Caroline Jones (C)

Division of Hematology and Oncology, Department of Medicine, The University of Virginia, Charlottesville, VA, USA.

Daniel Reed (D)

Division of Hematology and Oncology, Department of Medicine, The University of Virginia, Charlottesville, VA, USA.

Michael Keng (M)

Division of Hematology and Oncology, Department of Medicine, The University of Virginia, Charlottesville, VA, USA.

Firas El Chaer (F)

Division of Hematology and Oncology, Department of Medicine, The University of Virginia, Charlottesville, VA, USA. fe2gh@uvahealth.org.

Classifications MeSH