Literature DB >> 12196211

Cytogenetics and molecular genetics of acute lymphoblastic leukemia.

Christine J Harrison1, Letizia Foroni.   

Abstract

An important factor in the diagnosis of acute lymphoblastic leukemia (ALL) is that karyotype is an independent prognostic indicator, with an impact on the choice of treatment. Outcome is related to the number of chromosomes. For example, high hyperdiploidy (51-65 chromosomes) is associated with a good prognosis, whereas patients with near haploidy (23-29 chromosomes) have a poor outcome. The discovery of recurring chromosomal abnormalities in the leukemic blasts of patients with ALL has identified a large number of genes involved in leukemogenesis. Certain specific genetic changes are related to prognosis. The ETV6/AML1 fusion arising from the translocation (t12;21) (p13;q22) has been associated with a good outcome; the BCR/ABL fusion of (t9;22)(q34;q11), rearrangements of the MLL gene, and abnormalities of the short arm of chromosomes 9 involving the tumor suppressor genes p16INK4A have a poor prognosis. Unfortunately, the classification of patients into prognostic groups based on cytogenetics is not always as predicted. Even when other clinically based risk factors are taken into account, some patients with good-risk cytogenetic features will relapse. In the search for new measures of prognosis, it has recently emerged that the level of minimal residual disease following induction therapy can be a reliable predictor of outcome in ALL.

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Mesh:

Year:  2002        PMID: 12196211     DOI: 10.1046/j.1468-0734.2002.00069.x

Source DB:  PubMed          Journal:  Rev Clin Exp Hematol        ISSN: 1127-0020


  20 in total

1.  Array-based comparative genomic hybridization detects copy number variations with prognostic relevance in 80% of ALL with normal karyotype or failed chromosome analysis.

Authors:  V Mühlbacher; T Haferlach; W Kern; M Zenger; S Schnittger; C Haferlach
Journal:  Leukemia       Date:  2015-10-09       Impact factor: 11.528

Review 2.  Emerging technologies in paediatric leukaemia.

Authors:  Amanda Dixon-McIver
Journal:  Transl Pediatr       Date:  2015-04

3.  Cytogenetic analysis in childhood acute lymphoblastic leukemia: experience at a single institution in Korea.

Authors:  Young Joo Kwon; Jae Wook Lee; Myung Shin Kim; Pil Sang Jang; Nak Gyun Chung; Dae Chul Jeong; Yong Goo Kim; Kyung Ja Han; Soon Ju Lee; Bin Cho; Hack Ki Kim
Journal:  Int J Hematol       Date:  2008-12-25       Impact factor: 2.490

Review 4.  Genomics in acute lymphoblastic leukaemia: insights and treatment implications.

Authors:  Kathryn G Roberts; Charles G Mullighan
Journal:  Nat Rev Clin Oncol       Date:  2015-03-17       Impact factor: 66.675

Review 5.  Molecular genetics of B-precursor acute lymphoblastic leukemia.

Authors:  Charles G Mullighan
Journal:  J Clin Invest       Date:  2012-10-01       Impact factor: 14.808

6.  Advances in the Biology of Acute Lymphoblastic Leukemia-From Genomics to the Clinic.

Authors:  Charles G Mullighan; Cheryl L Willman
Journal:  J Adolesc Young Adult Oncol       Date:  2011-06       Impact factor: 2.223

7.  Profiling gene mutations, translocations, and multidrug resistance in pediatric acute lymphoblastic leukemia: a step forward to personalizing medicine.

Authors:  Alphy Rose-James; R Shiji; P Kusumakumary; Manjusha Nair; Suraj K George; T T Sreelekha
Journal:  Med Oncol       Date:  2016-07-23       Impact factor: 3.064

Review 8.  Global genomic characterization of acute lymphoblastic leukemia.

Authors:  Charles G Mullighan; James R Downing
Journal:  Semin Hematol       Date:  2009-01       Impact factor: 3.851

9.  A novel transcript of the LMO2 gene, LMO2-c, is regulated by GATA-1 and PU.1 and encodes an antagonist of LMO2.

Authors:  Q Wang; M Zhang; X Wang; W Yuan; D Chen; B Royer-Pokora; T Zhu
Journal:  Leukemia       Date:  2007-03-15       Impact factor: 11.528

10.  Heritable T-cell malignancy models established in a zebrafish phenotypic screen.

Authors:  J K Frazer; N D Meeker; L Rudner; D F Bradley; A C H Smith; B Demarest; D Joshi; E E Locke; S A Hutchinson; S Tripp; S L Perkins; N S Trede
Journal:  Leukemia       Date:  2009-06-11       Impact factor: 11.528

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