Leukemia and Lymphoma: Detection of Minimal Residual Disease
Editat de Theodore F. Zipf, Dennis A. Johnstonen Limba Engleză Paperback – 5 noi 2010
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Specificații
ISBN-13: 9781617372797
ISBN-10: 161737279X
Pagini: 272
Ilustrații: XII, 257 p. 27 illus., 6 illus. in color.
Dimensiuni: 152 x 229 x 14 mm
Greutate: 0.37 kg
Ediția:Softcover reprint of hardcover 1st ed. 2003
Editura: Humana Press Inc.
Colecția Humana
Locul publicării:Totowa, NJ, United States
ISBN-10: 161737279X
Pagini: 272
Ilustrații: XII, 257 p. 27 illus., 6 illus. in color.
Dimensiuni: 152 x 229 x 14 mm
Greutate: 0.37 kg
Ediția:Softcover reprint of hardcover 1st ed. 2003
Editura: Humana Press Inc.
Colecția Humana
Locul publicării:Totowa, NJ, United States
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Public țintă
ResearchCuprins
1 Flow-Cytometry Methods for the Detection of Residual Leukemia.- 2 Flow-Cytometry—Based Studies of Minimal Residual Disease in Children with Acute Lymphoblastic Leukemia.- 3 PCR Methods for the Detection of Minimal Residual Disease in Childhood Acute Lymphoblastic Leukemia.- 4 Statistical Considerations in the Analysis of Minimal Residual Disease.- 5 The Application of Minimal Residual Disease Detection Methodology to the Clinical Decision-Making Process.- 6 Measurement of Minimal Residual Disease in Children Undergoing Allogeneic Stem Cell Transplant for Acute Lymphoblastic Leukemia.- 7 Molecular Investigation of Minimal Residual Disease in Adult Acute Lymphoblastic Leukemia of B Lineage.- 8 Investigation of Minimal Residual Disease in Acute Myeloid Leukemia by Immunophenotyping.- 9 Minimal Residual Disease in Acute Myeloid Leukemia: RT-PCR—Based Studies of Fusion Transcripts.- 10 Minimal Residual Disease in Acute Promyelocytic Leukemia.- 11 Minimal Residual Disease in Chronic Myelogenous Leukemia: Results of RT-PCR Detection of BCR-ABL Transcripts.- 12 Utility of PCR Assessment of Minimal Residual Disease After Stem Cell Transplantation in Non-Hodgkin’s Lymphoma.- 13 Real-Time Polymerase Chain Reaction of Genomic DNA for Quantitation of t(14;18).- 14 Monitoring Follicular Lymphoma by Polymerase Chain Reaction.- 15 Editors’ Notes.
Recenzii
"The book provides an excellent presentation of a wide spectrum of methods used in detection of MRD in ALL, CML, AML and Hodgkins lymphoma. It will certainly be of great help for all those, who are engaged in modern management of leukemias and lymphomas." -Neoplasma
Textul de pe ultima copertă
With the detection of the leukemias and lymphomas at levels almost four orders of magnitude below that obtainable by light microcopy, the groundwork has been laid for the development of reliable clinical tools and a redefinition of remission and relapse. In Leukemia and Lymphoma: Detection of Minimal Residual Disease, hands-on experts describe and discuss the minimal residual disease (MRD) methods they have successfully pioneered for these hematological cancers. The techniques range from the use of patient-specific immunophenotypes to identify residual leukemia in patients who are in remission, to a variety of PCR techniques for detecting residual disease and measuring its level. Reverse transcription PCR (RT-PCR) is applied to acute myeloid leukemia (AML), chronic myelogenous leukemia (CML), and acute promyelocytic leukemia (APL). Other PCR methods are used for non-Hodgkin's lymphoma and for the monitoring of follicular lymphoma. Additional chapters address the use of real-time quantitative PCR (RQ-PCR), the emergent method of choice, in patients with acute lymphoblastic leukemia (ALL), the evaluation of MRD techniques in clinical trials, and the application of flow cytometry techniques.
Comprehensive and innovative, Leukemia and Lymphoma: Detection of Minimal Residual Disease sets the stage for implementing the new standard detection and quantitation techniques as reliable tools for clinical decision-making, as well as for improved predictions and treatment outcomes.
Comprehensive and innovative, Leukemia and Lymphoma: Detection of Minimal Residual Disease sets the stage for implementing the new standard detection and quantitation techniques as reliable tools for clinical decision-making, as well as for improved predictions and treatment outcomes.
Caracteristici
Includes supplementary material: sn.pub/extras