Literature DB >> 15646649

DNA microarrays in the diagnosis and management of acute lymphoblastic leukemia.

Adolfo A Ferrando1, A Thomas Look.   

Abstract

The significant progress in the treatment of acute lymphoblastic leukemia (ALL) experienced over the last 3 decades has been driven mainly by the empirical combination of antileukemic drugs in highly intensive therapies. Further progress in the management of ALL is currently limited, however, by our incomplete understanding of the molecular pathways involved in leukemia pathogenesis and by the lack of useful prognostic markers for most patients. The recent development of microarray technology, which allows the simultaneous analysis of gene expression levels for thousands of transcripts, has accelerated significantly the rate of progress in our understanding of the molecular basis of ALL. During the last few years, analysis of ALL samples with DNA arrays has facilitated the recognition of molecularly distinct leukemia groups, advanced our knowledge of the mechanisms of sensitivity and resistance to chemotherapy, generated novel prognostic prediction tools, and identified new targets for the development of molecularly tailored antileukemic agents. Thus, the introduction of microarray gene expression profiling has opened the opportunity for accelerated progress in the diagnosis and therapy of ALL, which will ultimately result in the development of novel highly effective and less toxic treatments for this disease.

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Year:  2004        PMID: 15646649     DOI: 10.1532/ijh97.04137

Source DB:  PubMed          Journal:  Int J Hematol        ISSN: 0925-5710            Impact factor:   2.490


  32 in total

1.  Chemosensitivity prediction by transcriptional profiling.

Authors:  J E Staunton; D K Slonim; H A Coller; P Tamayo; M J Angelo; J Park; U Scherf; J K Lee; W O Reinhold; J N Weinstein; J P Mesirov; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

2.  Inhibition of FLT3 in MLL. Validation of a therapeutic target identified by gene expression based classification.

Authors:  Scott A Armstrong; Andrew L Kung; Meghann E Mabon; Lewis B Silverman; Ronald W Stam; Monique L Den Boer; Rob Pieters; John H Kersey; Stephen E Sallan; Jonathan A Fletcher; Todd R Golub; James D Griffin; Stanley J Korsmeyer
Journal:  Cancer Cell       Date:  2003-02       Impact factor: 31.743

Review 3.  Oncogenic transcription factors in the human acute leukemias.

Authors:  A T Look
Journal:  Science       Date:  1997-11-07       Impact factor: 47.728

Review 4.  Childhood acute lymphoblastic leukaemia--current status and future perspectives.

Authors:  C H Pui; D Campana; W E Evans
Journal:  Lancet Oncol       Date:  2001-10       Impact factor: 41.316

5.  Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival.

Authors:  Sabina Chiaretti; Xiaochun Li; Robert Gentleman; Antonella Vitale; Marco Vignetti; Franco Mandelli; Jerome Ritz; Robin Foa
Journal:  Blood       Date:  2003-12-18       Impact factor: 22.113

6.  Classification of pediatric acute lymphoblastic leukemia by gene expression profiling.

Authors:  Mary E Ross; Xiaodong Zhou; Guangchun Song; Sheila A Shurtleff; Kevin Girtman; W Kent Williams; Hsi-Che Liu; Rami Mahfouz; Susana C Raimondi; Noel Lenny; Anami Patel; James R Downing
Journal:  Blood       Date:  2003-05-01       Impact factor: 22.113

7.  Pediatric acute lymphoblastic leukemia (ALL) gene expression signatures classify an independent cohort of adult ALL patients.

Authors:  A Kohlmann; C Schoch; S Schnittger; M Dugas; W Hiddemann; W Kern; T Haferlach
Journal:  Leukemia       Date:  2004-01       Impact factor: 11.528

8.  Gene expression signatures define novel oncogenic pathways in T cell acute lymphoblastic leukemia.

Authors:  Adolfo A Ferrando; Donna S Neuberg; Jane Staunton; Mignon L Loh; Christine Huard; Susana C Raimondi; Fred G Behm; Ching Hon Pui; James R Downing; D Gary Gilliland; Eric S Lander; Todd R Golub; A Thomas Look
Journal:  Cancer Cell       Date:  2002-02       Impact factor: 31.743

9.  Gene expression signatures in MLL-rearranged T-lineage and B-precursor acute leukemias: dominance of HOX dysregulation.

Authors:  Adolfo A Ferrando; Scott A Armstrong; Donna S Neuberg; Stephen E Sallan; Lewis B Silverman; Stanley J Korsmeyer; A Thomas Look
Journal:  Blood       Date:  2003-03-13       Impact factor: 22.113

Review 10.  MLL-rearranged leukemias: insights from gene expression profiling.

Authors:  Scott A Armstrong; Todd R Golub; Stanley J Korsmeyer
Journal:  Semin Hematol       Date:  2003-10       Impact factor: 3.851

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  3 in total

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Review 2.  The Current Genomic and Molecular Landscape of Philadelphia-like Acute Lymphoblastic Leukemia.

Authors:  Parveen Shiraz; Kimberly J Payne; Lori Muffly
Journal:  Int J Mol Sci       Date:  2020-03-22       Impact factor: 5.923

3.  Enduring Cell Lines: Parents' Experiences of Postmortem Tumor Banking in Childhood Cancer.

Authors:  Nancy J Moules; Catherine M Laing; Wendy Pelletier; Gregory M T Guilcher; Jennifer A Chan
Journal:  J Fam Nurs       Date:  2021-04-15       Impact factor: 3.818

  3 in total

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