Literature DB >> 23184342

Molecular-based classification of acute myeloid leukemia and its role in directing rational therapy: personalized medicine for profoundly promiscuous proliferations.

Gerald B W Wertheim1, Elizabeth Hexner, Adam Bagg.   

Abstract

Acute myeloid leukemia (AML) is not a single pathologic entity but represents a heterogeneous group of malignancies. This heterogeneity is exemplified by the variable clinical outcomes that are observed in patients with AML, and it is largely the result of diverse mutations within the leukemic cells. These mutations range from relatively large genetic alterations, such as gains, losses, and translocations of chromosomes, to single nucleotide changes. Detection of many of these mutations is required for accurate diagnosis, prognosis, and treatment of patients with AML. As such, many testing modalities have been developed and are currently employed in clinical laboratories to ascertain mutational status at prognostically and therapeutically critical loci. The assays include those that specifically identify large chromosomal alterations, such as conventional metaphase analysis and fluorescence in situ hybridization, and methods that are geared more toward analysis of small mutations, such as PCR with allele-specific oligonucleotide primers. Furthermore, newer tests, including array analysis and next-generation sequencing, which can simultaneously probe numerous molecular aberrancies within tumor cells, are likely to become commonplace in AML diagnostics. Each testing method clearly has advantages and disadvantages, an understanding of which should influence the choice of test in various clinical circumstances. To aid such understanding, this review discusses both genetic mutations in AML and the clinical tests-including their pros and cons-that may be used to probe these abnormalities. Additionally, we highlight the significance of genetic testing by describing cases in which results of genetic testing significantly influence clinical management of patients with AML.

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Year:  2012        PMID: 23184342     DOI: 10.1007/s40291-012-0009-0

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  134 in total

1.  Quantitative real-time RT-PCR analysis of PML-RAR alpha mRNA in acute promyelocytic leukemia: assessment of prognostic significance in adult patients from intergroup protocol 0129.

Authors:  Robert E Gallagher; Beow Y Yeap; Wanli Bi; Kenneth J Livak; Nike Beaubier; Sreenivas Rao; Clara D Bloomfield; Frederick R Appelbaum; Martin S Tallman; James L Slack; Cheryl L Willman
Journal:  Blood       Date:  2002-12-05       Impact factor: 22.113

Review 2.  Epigenome sequencing comes of age in development, differentiation and disease mechanism research.

Authors:  Qian Zhao; Yong Zhang
Journal:  Epigenomics       Date:  2011-04       Impact factor: 4.778

3.  Prognostic impact of DNMT3A mutations in patients with intermediate cytogenetic risk profile acute myeloid leukemia.

Authors:  Jana Marková; Petra Michková; Kateřina Burčková; Jana Březinová; Kyra Michalová; Alena Dohnalová; Jacqueline Soukupová Maaloufová; Petr Soukup; Antonín Vítek; Petr Cetkovský; Jiří Schwarz
Journal:  Eur J Haematol       Date:  2011-11-17       Impact factor: 2.997

4.  The t(8;21) fusion product, AML-1-ETO, associates with C/EBP-alpha, inhibits C/EBP-alpha-dependent transcription, and blocks granulocytic differentiation.

Authors:  J J Westendorf; C M Yamamoto; N Lenny; J R Downing; M E Selsted; S W Hiebert
Journal:  Mol Cell Biol       Date:  1998-01       Impact factor: 4.272

5.  Further analysis of trials with azacitidine in patients with myelodysplastic syndrome: studies 8421, 8921, and 9221 by the Cancer and Leukemia Group B.

Authors:  Lewis R Silverman; David R McKenzie; Bercedis L Peterson; James F Holland; Jay T Backstrom; C L Beach; Richard A Larson
Journal:  J Clin Oncol       Date:  2006-08-20       Impact factor: 44.544

6.  DNMT3A mutations in acute myeloid leukemia.

Authors:  Timothy J Ley; Li Ding; Matthew J Walter; Michael D McLellan; Tamara Lamprecht; David E Larson; Cyriac Kandoth; Jacqueline E Payton; Jack Baty; John Welch; Christopher C Harris; Cheryl F Lichti; R Reid Townsend; Robert S Fulton; David J Dooling; Daniel C Koboldt; Heather Schmidt; Qunyuan Zhang; John R Osborne; Ling Lin; Michelle O'Laughlin; Joshua F McMichael; Kim D Delehaunty; Sean D McGrath; Lucinda A Fulton; Vincent J Magrini; Tammi L Vickery; Jasreet Hundal; Lisa L Cook; Joshua J Conyers; Gary W Swift; Jerry P Reed; Patricia A Alldredge; Todd Wylie; Jason Walker; Joelle Kalicki; Mark A Watson; Sharon Heath; William D Shannon; Nobish Varghese; Rakesh Nagarajan; Peter Westervelt; Michael H Tomasson; Daniel C Link; Timothy A Graubert; John F DiPersio; Elaine R Mardis; Richard K Wilson
Journal:  N Engl J Med       Date:  2010-11-10       Impact factor: 91.245

7.  Concurrent methylation of promoters from tumor associated genes predicts outcome in acute myeloid leukemia.

Authors:  Corine J Hess; Abdellatif Errami; Johannes Berkhof; Fedor Denkers; Gert J Ossenkoppele; Anders O H Nygren; Gerrit J Schuurhuis; Quinten Waisfisz
Journal:  Leuk Lymphoma       Date:  2008-06

8.  High EVI1 levels predict adverse outcome in acute myeloid leukemia: prevalence of EVI1 overexpression and chromosome 3q26 abnormalities underestimated.

Authors:  Sanne Lugthart; Ellen van Drunen; Yvette van Norden; Antoinette van Hoven; Claudia A J Erpelinck; Peter J M Valk; H Berna Beverloo; Bob Löwenberg; Ruud Delwel
Journal:  Blood       Date:  2008-02-13       Impact factor: 22.113

9.  MicroRNA signatures associated with cytogenetics and prognosis in acute myeloid leukemia.

Authors:  Ramiro Garzon; Stefano Volinia; Chang-Gong Liu; Cecilia Fernandez-Cymering; Tiziana Palumbo; Flavia Pichiorri; Muller Fabbri; Kevin Coombes; Hansjuerg Alder; Tatsuya Nakamura; Neal Flomenberg; Guido Marcucci; George A Calin; Steven M Kornblau; Hagop Kantarjian; Clara D Bloomfield; Michael Andreeff; Carlo M Croce
Journal:  Blood       Date:  2008-01-10       Impact factor: 22.113

10.  IDH1 and IDH2 mutations are frequent genetic alterations in acute myeloid leukemia and confer adverse prognosis in cytogenetically normal acute myeloid leukemia with NPM1 mutation without FLT3 internal tandem duplication.

Authors:  Peter Paschka; Richard F Schlenk; Verena I Gaidzik; Marianne Habdank; Jan Krönke; Lars Bullinger; Daniela Späth; Sabine Kayser; Manuela Zucknick; Katharina Götze; Heinz-A Horst; Ulrich Germing; Hartmut Döhner; Konstanze Döhner
Journal:  J Clin Oncol       Date:  2010-06-21       Impact factor: 50.717

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  5 in total

1.  Microsphere-based multiplex analysis of DNA methylation in acute myeloid leukemia.

Authors:  Gerald B W Wertheim; Catherine Smith; Maria E Figueroa; Michael Kalos; Adam Bagg; Martin Carroll; Stephen R Master
Journal:  J Mol Diagn       Date:  2013-12-25       Impact factor: 5.568

2.  NPM1 Gene Type A Mutation in Bulgarian Adults with Acute Myeloid Leukemia: A Single-Institution Study.

Authors:  Gueorgui Balatzenko; Branimir Spassov; Nikolay Stoyanov; Penka Ganeva; Tihomit Dikov; Spiro Konstantinov; Vasil Hrischev; Malina Romanova; Stavri Toshkov; Margarita Guenova
Journal:  Turk J Haematol       Date:  2014-03-05       Impact factor: 1.831

Review 3.  Application of Fluorescence In Situ Hybridization (FISH) Technique for the Detection of Genetic Aberration in Medical Science.

Authors:  Zubair Ahmed Ratan; Sojib Bin Zaman; Varshil Mehta; Mohammad Faisal Haidere; Nusrat Jahan Runa; Nasrin Akter
Journal:  Cureus       Date:  2017-06-09

Review 4.  Class III Receptor Tyrosine Kinases in Acute Leukemia - Biological Functions and Modern Laboratory Analysis.

Authors:  Rimma Berenstein
Journal:  Biomark Insights       Date:  2015-08-05

5.  Fluorescence in situ hybridization (FISH): an increasingly demanded tool for biomarker research and personalized medicine.

Authors:  Linping Hu; Kun Ru; Li Zhang; Yuting Huang; Xiaofan Zhu; Hanzhi Liu; Anders Zetterberg; Tao Cheng; Weimin Miao
Journal:  Biomark Res       Date:  2014-02-05
  5 in total

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