Literature DB >> 16996130

Utility of interphase FISH to stratify patients into cytogenetic risk categories at diagnosis of AML in an Eastern Cooperative Oncology Group (ECOG) clinical trial (E1900).

Gail H Vance1, Haesook Kim, Gary A Hicks, Athena M Cherry, Rodney Higgins, Rachael L Hulshizer, Martin S Tallman, Hugo F Fernandez, Gordon W Dewald.   

Abstract

We evaluated the efficacy of FISH to detect chromosome anomalies in the evaluation of young (<60 years) patients with AML. Patients were enrolled in E1900, an ECOG clinical trial for AML. The protocol was designed to collect bone marrow or blood for both cytogenetic and FISH studies at study entry (diagnosis). FISH for each patient was performed and utilized eight probe sets to detect t(8;21), t(9;22), t(11;var), t(15;17), inv(16), +8, -5/5q, and -7/7q. We analyzed 237 specimens with complete cytogenetic and FISH results. Results for each specimen were classified by probe set into one of six categories. The concordance rate between cytogenetic and FISH results ranged from 98 to 100% for all probe sets and kappa analysis for concordance had a p-value of <0.0001. The high level of agreement between cytogenetic and FISH results demonstrate the accuracy of a panel of eight FISH probe sets for the detection of significant abnormalities in AML. Data from this investigation support the use of FISH as an adjunct method to increase the yield of useful cytogenetic results in large cooperative trials and demonstrate the potential of FISH as a follow-up study of minimal residual disease in ECOG trials.

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Year:  2006        PMID: 16996130     DOI: 10.1016/j.leukres.2006.07.026

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  6 in total

1.  Potential clinical impact of three-dimensional visualization for fluorescent in situ hybridization image analysis.

Authors:  Zheng Li; Shibo Li; Zheng Bin; Roy Zhang; Yuhua Li; Huimin Tian; Wei Chen; Hong Liu
Journal:  J Biomed Opt       Date:  2012-05       Impact factor: 3.170

2.  Anthracycline dose intensification in acute myeloid leukemia.

Authors:  Hugo F Fernandez; Zhuoxin Sun; Xiaopan Yao; Mark R Litzow; Selina M Luger; Elisabeth M Paietta; Janis Racevskis; Gordon W Dewald; Rhett P Ketterling; John M Bennett; Jacob M Rowe; Hillard M Lazarus; Martin S Tallman
Journal:  N Engl J Med       Date:  2009-09-24       Impact factor: 91.245

Review 3.  Genetic tests to evaluate prognosis and predict therapeutic response in acute myeloid leukemia.

Authors:  Margaret L Gulley; Thomas C Shea; Yuri Fedoriw
Journal:  J Mol Diagn       Date:  2009-12-03       Impact factor: 5.568

4.  Evidence-based genomic diagnosis characterized chromosomal and cryptic imbalances in 30 elderly patients with myelodysplastic syndrome and acute myeloid leukemia.

Authors:  Renu Bajaj; Fang Xu; Bixia Xiang; Katherine Wilcox; Autumn J Diadamo; Rachana Kumar; Alexandra Pietraszkiewicz; Stephanie Halene; Peining Li
Journal:  Mol Cytogenet       Date:  2011-01-20       Impact factor: 2.009

5.  Acute myeloid leukemia with the t(8;21) translocation: clinical consequences and biological implications.

Authors:  Håkon Reikvam; Kimberley Joanne Hatfield; Astrid Olsnes Kittang; Randi Hovland; Øystein Bruserud
Journal:  J Biomed Biotechnol       Date:  2011-05-03

6.  Multicenter validation study of a transplantation-specific cytogenetics grouping scheme for patients with myelodysplastic syndromes.

Authors:  P Armand; H J Deeg; H T Kim; H Lee; P Armistead; M de Lima; V Gupta; R J Soiffer
Journal:  Bone Marrow Transplant       Date:  2009-09-28       Impact factor: 5.483

  6 in total

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