Acute lymphoblastic leukemia in children and SALL4 and BMI-1 gene expression

Author(s):  
Hossam Hodeib ◽  
Doaa El Amrousy ◽  
Amira Youssef ◽  
Rasha Khedr ◽  
Hassan Al-Asy ◽  
...  
2016 ◽  
Vol 47 (8) ◽  
pp. 644-655 ◽  
Author(s):  
Juan Carlos Núñez-Enríquez ◽  
Diego Alberto Bárcenas-López ◽  
Alfredo Hidalgo-Miranda ◽  
Elva Jiménez-Hernández ◽  
Vilma Carolina Bekker-Méndez ◽  
...  

1988 ◽  
Vol 43 (3) ◽  
pp. 228-232 ◽  
Author(s):  
Marie Peeters ◽  
Gideon Koren ◽  
Difat Jakubovicz ◽  
Alvin Zipursky

2014 ◽  
Vol 36 (5) ◽  
pp. e265-e270 ◽  
Author(s):  
Rachel Kobos ◽  
Neerav Shukla ◽  
Thomas Renaud ◽  
Susan E. Prockop ◽  
Farid Boulad ◽  
...  

2014 ◽  
Vol 26 (2) ◽  
pp. 55-59 ◽  
Author(s):  
Hanaa H. Arnaoaut ◽  
Doha A. Mokhtar ◽  
Rania M. Samy ◽  
Sahar A. Khames ◽  
Shereen A. Omar

2006 ◽  
Vol 130 (4) ◽  
pp. 483-520 ◽  
Author(s):  
Cherie H. Dunphy

Abstract Context.—Gene expression (GE) analyses using microarrays have become an important part of biomedical and clinical research in hematolymphoid malignancies. However, the methods are time-consuming and costly for routine clinical practice. Objectives.—To review the literature regarding GE data that may provide important information regarding pathogenesis and that may be extrapolated for use in diagnosing and prognosticating lymphomas and leukemias; to present GE findings in Hodgkin and non-Hodgkin lymphomas, acute leukemias, and chronic myeloid leukemia in detail; and to summarize the practical clinical applications in tables that are referenced throughout the text. Data Source.—PubMed was searched for pertinent literature from 1993 to 2005. Conclusions.—Gene expression profiling of lymphomas and leukemias aids in the diagnosis and prognostication of these diseases. The extrapolation of these findings to more timely, efficient, and cost-effective methods, such as flow cytometry and immunohistochemistry, results in better diagnostic tools to manage the diseases. Flow cytometric and immunohistochemical applications of the information gained from GE profiling assist in the management of chronic lymphocytic leukemia, other low-grade B-cell non-Hodgkin lymphomas and leukemias, diffuse large B-cell lymphoma, nodular lymphocyte–predominant Hodgkin lymphoma, and classic Hodgkin lymphoma. For practical clinical use, GE profiling of precursor B acute lymphoblastic leukemia, precursor T acute lymphoblastic leukemia, and acute myeloid leukemia has supported most of the information that has been obtained by cytogenetic and molecular studies (except for the identification of FLT3 mutations for molecular analysis), but extrapolation of the analyses leaves much to be gained based on the GE profiling data.


2004 ◽  
Vol 26 (8) ◽  
pp. 507-514 ◽  
Author(s):  
Hany Hussein ◽  
Iman Sidhom ◽  
Sherif Aboul Naga ◽  
Manal Amin ◽  
Emad Ebied ◽  
...  

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