Literature DB >> 24659319

The use of molecular genetics to refine prognosis in acute myeloid leukemia.

Bhavana Bhatnagar, Ramiro Garzon.   

Abstract

The discovery and application of advanced molecular techniques, such as gene and microRNA expression profiling, whole genome and exome sequencing, proteomic analysis and methylation assays, have allowed for the identification of recurrent molecular abnormalities in acute myeloid leukemia (AML) that have revolutionized our understanding of the genetic landscape of the disease. These modalities have emerged as valuable tools that permit a more comprehensive and detailed molecular characterization of AML. Many of these molecular abnormalities have been shown to predict prognosis, particularly within the context of cytogenetically normal AML. This review will discuss the major techniques and platforms that have been used to identify novel recurrent gene mutations in AML and briefly describe how these discoveries have impacted on outcome prediction.

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Year:  2014        PMID: 24659319     DOI: 10.1007/s11899-014-0208-3

Source DB:  PubMed          Journal:  Curr Hematol Malig Rep        ISSN: 1558-8211            Impact factor:   3.952


  101 in total

1.  Implications of NRAS mutations in AML: a study of 2502 patients.

Authors:  Ulrike Bacher; Torsten Haferlach; Claudia Schoch; Wolfgang Kern; Susanne Schnittger
Journal:  Blood       Date:  2006-01-24       Impact factor: 22.113

2.  Acquired mutations in ASXL1 in acute myeloid leukemia: prevalence and prognostic value.

Authors:  Marta Pratcorona; Saman Abbas; Mathijs A Sanders; Jasper E Koenders; François G Kavelaars; Claudia A J Erpelinck-Verschueren; Annelieke Zeilemakers; Bob Löwenberg; Peter J M Valk
Journal:  Haematologica       Date:  2011-11-04       Impact factor: 9.941

3.  Gene expression profiling in the leukemic stem cell-enriched CD34+ fraction identifies target genes that predict prognosis in normal karyotype AML.

Authors:  H J M de Jonge; C M Woolthuis; A Z Vos; A Mulder; E van den Berg; P M Kluin; K van der Weide; E S J M de Bont; G Huls; E Vellenga; J J Schuringa
Journal:  Leukemia       Date:  2011-07-15       Impact factor: 11.528

4.  A Phase 1 study of imatinib mesylate in combination with cytarabine and daunorubicin for c-kit positive relapsed acute myeloid leukemia.

Authors:  Anjali S Advani; Ramon Tiu; Yogen Saunthararajah; Jaroslaw Maciejewski; Edward A Copelan; Ronald Sobecks; Mikkael A Sekeres; Jennifer Bates; Mary Lynn Rush; Barbara Tripp; August Salvado; Elysa Noon; Matthew Howard; Tao Jin; Eric Hsi; Merrill J Egorin; Kathleen Lim; Claudiu V Cotta; Courtney Price; Matt Kalaycio
Journal:  Leuk Res       Date:  2010-04-27       Impact factor: 3.156

5.  Adverse prognostic significance of KIT mutations in adult acute myeloid leukemia with inv(16) and t(8;21): a Cancer and Leukemia Group B Study.

Authors:  Peter Paschka; Guido Marcucci; Amy S Ruppert; Krzysztof Mrózek; Hankui Chen; Rick A Kittles; Tamara Vukosavljevic; Danilo Perrotti; James W Vardiman; Andrew J Carroll; Jonathan E Kolitz; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2006-08-20       Impact factor: 44.544

6.  C/EBPA gene mutation and C/EBPA promoter hypermethylation in acute myeloid leukemia with normal cytogenetics.

Authors:  Ying Lu; Wengang Chen; Wei Chen; Anthony Stein; Lawrence M Weiss; Qin Huang
Journal:  Am J Hematol       Date:  2010-06       Impact factor: 10.047

7.  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

Review 8.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

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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  3 in total

1.  Higher expression levels of the HOXA9 gene, closely associated with MLL-PTD and EZH2 mutations, predict inferior outcome in acute myeloid leukemia.

Authors:  Li Gao; Junzhong Sun; Fang Liu; Hui Zhang; Yigai Ma
Journal:  Onco Targets Ther       Date:  2016-02-09       Impact factor: 4.147

Review 2.  Zebrafish in Translational Cancer Research: Insight into Leukemia, Melanoma, Glioma and Endocrine Tumor Biology.

Authors:  Aurora Irene Idilli; Francesca Precazzini; Maria Caterina Mione; Viviana Anelli
Journal:  Genes (Basel)       Date:  2017-09-20       Impact factor: 4.096

3.  Overexpression of ZEB2-AS1 lncRNA is associated with poor clinical outcomes in acute myeloid leukemia.

Authors:  Xiaolan Shi; Jiao Li; Liang Ma; Lijun Wen; Qinrong Wang; Hong Yao; Changgeng Ruan; Depei Wu; Xinyou Zhang; Suning Chen
Journal:  Oncol Lett       Date:  2019-03-15       Impact factor: 2.967

  3 in total

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