Literature DB >> 18000384

DNA profiling by arrayCGH in acute myeloid leukemia and myelodysplastic syndromes.

J Suela1, S Alvarez, J C Cigudosa.   

Abstract

Acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS) represent two distinct but related myeloid haematological neoplasms. At diagnosis, a substantial proportion of cases show cytogenetic and molecular genetic markers whose range of specificity is highly variable. Most specific reciprocal translocations, as t(8;21)(q21;q21) or t(15;17)(q22;q21), have been extensively studied and are currently introduced in clinical diagnosis. Two other major groups remain to be better characterized at the genetic and genomic level: cases with normal karyotype and cases with complex aberrations. Comparative genomic hybridization (CGH) performed on chromosomes was the first approach taken and nearly 300 cases studied by this technique have already been reported. Array based CGH has also been applied to a smaller number of cases. Both types of genomic studies have confirmed that recurrent genomic losses and gains can almost exclusively be found in cases with complex karyotype. In most cases with normal karyotype (as well as in others with single chromosome aberrations as trisomy 8), arrayCGH has been able to unveil small DNA copy number changes whose recurrence is very low. Recently, single- nucleotide-polymorphism based arrays have been used in AML showing that loss of heterozygosity (LOH) is a common feature in normal karyotype leukemia. Copyright (c) 2007 S. Karger AG, Basel.

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Year:  2007        PMID: 18000384     DOI: 10.1159/000108314

Source DB:  PubMed          Journal:  Cytogenet Genome Res        ISSN: 1424-8581            Impact factor:   1.636


  16 in total

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Review 2.  Whole genome scanning as a cytogenetic tool in hematologic malignancies.

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4.  Identification of clinically important chromosomal aberrations in acute myeloid leukemia by array-based comparative genomic hybridization.

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Journal:  Semin Oncol       Date:  2011-04       Impact factor: 4.929

Review 6.  Genetic tests to evaluate prognosis and predict therapeutic response in acute myeloid leukemia.

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Authors:  Timothy J Ley; Christopher Miller; Li Ding; Benjamin J Raphael; Andrew J Mungall; A Gordon Robertson; Katherine Hoadley; Timothy J Triche; Peter W Laird; Jack D Baty; Lucinda L Fulton; Robert Fulton; Sharon E Heath; Joelle Kalicki-Veizer; Cyriac Kandoth; Jeffery M Klco; Daniel C Koboldt; Krishna-Latha Kanchi; Shashikant Kulkarni; Tamara L Lamprecht; David E Larson; Ling Lin; Charles Lu; Michael D McLellan; Joshua F McMichael; Jacqueline Payton; Heather Schmidt; David H Spencer; Michael H Tomasson; John W Wallis; Lukas D Wartman; Mark A Watson; John Welch; Michael C Wendl; Adrian Ally; Miruna Balasundaram; Inanc Birol; Yaron Butterfield; Readman Chiu; Andy Chu; Eric Chuah; Hye-Jung Chun; Richard Corbett; Noreen Dhalla; Ranabir Guin; An He; Carrie Hirst; Martin Hirst; Robert A Holt; Steven Jones; Aly Karsan; Darlene Lee; Haiyan I Li; Marco A Marra; Michael Mayo; Richard A Moore; Karen Mungall; Jeremy Parker; Erin Pleasance; Patrick Plettner; Jacquie Schein; Dominik Stoll; Lucas Swanson; Angela Tam; Nina Thiessen; Richard Varhol; Natasja Wye; Yongjun Zhao; Stacey Gabriel; Gad Getz; Carrie Sougnez; Lihua Zou; Mark D M Leiserson; Fabio Vandin; Hsin-Ta Wu; Frederick Applebaum; Stephen B Baylin; Rehan Akbani; Bradley M Broom; Ken Chen; Thomas C Motter; Khanh Nguyen; John N Weinstein; Nianziang Zhang; Martin L Ferguson; Christopher Adams; Aaron Black; Jay Bowen; Julie Gastier-Foster; Thomas Grossman; Tara Lichtenberg; Lisa Wise; Tanja Davidsen; John A Demchok; Kenna R Mills Shaw; Margi Sheth; Heidi J Sofia; Liming Yang; James R Downing; Greg Eley
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8.  BCL-2 inhibition with ABT-737 prolongs survival in an NRAS/BCL-2 mouse model of AML by targeting primitive LSK and progenitor cells.

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9.  Chromosomal minimal critical regions in therapy-related leukemia appear different from those of de novo leukemia by high-resolution aCGH.

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10.  Identification of novel genomic aberrations in AML-M5 in a level of array CGH.

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Journal:  PLoS One       Date:  2014-04-11       Impact factor: 3.240

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