Literature DB >> 19959801

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

Margaret L Gulley1, Thomas C Shea, Yuri Fedoriw.   

Abstract

Management of patients with acute myeloid leukemia relies on genetic tests that inform diagnosis and prognosis, predict response to therapy, and measure minimal residual disease. The value of genetics is reinforced in the revised 2008 World Health Organization acute myeloid leukemia classification scheme. The various analytic procedures-karyotype, fluorescence in situ hybridization, reverse transcription polymerase chain reaction, DNA sequencing, and microarray technology-each have advantages in certain clinical settings, and understanding their relative merits assists in specimen allocation and in effective utilization of health care resources. Karyotype and array technology represent genome-wide screens, whereas the other methods target specific prognostic features such as t(15;17) PML-RARA, t(8;21) RUNX1-RUNX1T1, inv(16) CBFB-MYH11, 11q23 MLL rearrangement, FLT3 internal tandem duplication, or NPM1 mutation. New biomarkers and pharmacogenetic tests are emerging. The pathologist's expertise is critical in 1) consulting with clinicians about test selection as well as specimen collection and handling; 2) allocating tissue for immediate testing and preserving the remaining specimen for any downstream testing that is indicated once morphology and other pertinent test results are known; 3) performing tests that maximize outcome based on the strengths and limitations of each assay in each available specimen type; and 4) interpreting and conveying results to the rest of the health care team in a format that facilitates clinical management. Acute myeloid leukemia leads the way for modern molecular medicine.

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Year:  2009        PMID: 19959801      PMCID: PMC2797712          DOI: 10.2353/jmoldx.2010.090054

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  114 in total

1.  Detection of FLT3 internal tandem duplication and D835 mutations by a multiplex polymerase chain reaction and capillary electrophoresis assay.

Authors:  Kathleen M Murphy; Mark Levis; Michael J Hafez; Tanya Geiger; Lisa C Cooper; B Douglas Smith; Donald Small; Karin D Berg
Journal:  J Mol Diagn       Date:  2003-05       Impact factor: 5.568

2.  Outcome of induction and postremission therapy in younger adults with acute myeloid leukemia with normal karyotype: a cancer and leukemia group B study.

Authors:  Sherif S Farag; Amy S Ruppert; Krzysztof Mrózek; Robert J Mayer; Richard M Stone; Andrew J Carroll; Bayard L Powell; Joseph O Moore; Mark J Pettenati; Prasad R K Koduru; Judith Stamberg; Maria R Baer; Annemarie W Block; James W Vardiman; Jonathan E Kolitz; Charles A Schiffer; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2004-11-08       Impact factor: 44.544

3.  Association of PML-RAR alpha fusion mRNA type with pretreatment hematologic characteristics but not treatment outcome in acute promyelocytic leukemia: an intergroup molecular study.

Authors:  R E Gallagher; C L Willman; J L Slack; J W Andersen; Y P Li; D Viswanatha; C D Bloomfield; F R Appelbaum; C A Schiffer; M S Tallman; P H Wiernik
Journal:  Blood       Date:  1997-08-15       Impact factor: 22.113

4.  Use of gene-expression profiling to identify prognostic subclasses in adult acute myeloid leukemia.

Authors:  Lars Bullinger; Konstanze Döhner; Eric Bair; Stefan Fröhling; Richard F Schlenk; Robert Tibshirani; Hartmut Döhner; Jonathan R Pollack
Journal:  N Engl J Med       Date:  2004-04-15       Impact factor: 91.245

5.  A new prognostic score for patients with acute myeloid leukemia based on cytogenetics and early blast clearance in trials of the German AML Cooperative Group.

Authors:  Torsten Haferlach; Wolfgang Kern; Claudia Schoch; Susanne Schnittger; Maria Cristina Sauerland; Achim Heinecke; Thomas Büchner; Wolfgang Hiddemann
Journal:  Haematologica       Date:  2004-04       Impact factor: 9.941

Review 6.  Standardization and quality control studies of 'real-time' quantitative reverse transcriptase polymerase chain reaction of fusion gene transcripts for residual disease detection in leukemia - a Europe Against Cancer program.

Authors:  J Gabert; E Beillard; V H J van der Velden; W Bi; D Grimwade; N Pallisgaard; G Barbany; G Cazzaniga; J M Cayuela; H Cavé; F Pane; J L E Aerts; D De Micheli; X Thirion; V Pradel; M González; S Viehmann; M Malec; G Saglio; J J M van Dongen
Journal:  Leukemia       Date:  2003-12       Impact factor: 11.528

7.  Evaluation of candidate control genes for diagnosis and residual disease detection in leukemic patients using 'real-time' quantitative reverse-transcriptase polymerase chain reaction (RQ-PCR) - a Europe against cancer program.

Authors:  E Beillard; N Pallisgaard; V H J van der Velden; W Bi; R Dee; E van der Schoot; E Delabesse; E Macintyre; E Gottardi; G Saglio; F Watzinger; T Lion; J J M van Dongen; P Hokland; J Gabert
Journal:  Leukemia       Date:  2003-12       Impact factor: 11.528

8.  Early detection of relapse by prospective reverse transcriptase-polymerase chain reaction analysis of the PML/RARalpha fusion gene in patients with acute promyelocytic leukemia enrolled in the GIMEMA-AIEOP multicenter "AIDA" trial. GIMEMA-AIEOP Multicenter "AIDA" Trial.

Authors:  D Diverio; V Rossi; G Avvisati; S De Santis; A Pistilli; F Pane; G Saglio; G Martinelli; M C Petti; A Santoro; P G Pelicci; F Mandelli; A Biondi; F Lo Coco
Journal:  Blood       Date:  1998-08-01       Impact factor: 22.113

9.  Multiplex reverse transcription-polymerase chain reaction for simultaneous screening of 29 translocations and chromosomal aberrations in acute leukemia.

Authors:  N Pallisgaard; P Hokland; D C Riishøj; B Pedersen; P Jørgensen
Journal:  Blood       Date:  1998-07-15       Impact factor: 22.113

10.  AML with 11q23/MLL abnormalities as defined by the WHO classification: incidence, partner chromosomes, FAB subtype, age distribution, and prognostic impact in an unselected series of 1897 cytogenetically analyzed AML cases.

Authors:  Claudia Schoch; Susanne Schnittger; Mirjam Klaus; Wolfgang Kern; Wolfgang Hiddemann; Torsten Haferlach
Journal:  Blood       Date:  2003-06-12       Impact factor: 22.113

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  12 in total

1.  Clinical significance of up-regulated ID1 expression in Chinese de novo acute myeloid leukemia.

Authors:  Jing-Dong Zhou; Lei Yang; Xiao-Wen Zhu; Xiang-Mei Wen; Jing Yang; Hong Guo; Qin Chen; Dong-Ming Yao; Ji-Chun Ma; Jiang Lin; Jun Qian
Journal:  Int J Clin Exp Pathol       Date:  2015-05-01

2.  Chromosomal instability substantiates poor prognosis in patients with diffuse large B-cell lymphoma.

Authors:  Samuel F Bakhoum; Olga V Danilova; Prabhjot Kaur; Norman B Levy; Duane A Compton
Journal:  Clin Cancer Res       Date:  2011-12-15       Impact factor: 12.531

Review 3.  Minimal residual disease in acute myeloid leukaemia.

Authors:  Christopher S Hourigan; Judith E Karp
Journal:  Nat Rev Clin Oncol       Date:  2013-06-25       Impact factor: 66.675

Review 4.  Chromosomal instability and cancer: a complex relationship with therapeutic potential.

Authors:  Samuel F Bakhoum; Duane A Compton
Journal:  J Clin Invest       Date:  2012-04-02       Impact factor: 14.808

5.  A tool compound targeting the core binding factor Runt domain to disrupt binding to CBFβ in leukemic cells.

Authors:  Zaw Min Oo; Anuradha Illendula; Jolanta Grembecka; Charles Schmidt; Yunpeng Zhou; Virginie Esain; Wanda Kwan; Isaura Frost; Trista E North; Roger A Rajewski; Nancy A Speck; John H Bushweller
Journal:  Leuk Lymphoma       Date:  2017-12-18

Review 6.  Molecular-based classification of acute myeloid leukemia and its role in directing rational therapy: personalized medicine for profoundly promiscuous proliferations.

Authors:  Gerald B W Wertheim; Elizabeth Hexner; Adam Bagg
Journal:  Mol Diagn Ther       Date:  2012-12       Impact factor: 4.074

7.  Evolution-informed modeling improves outcome prediction for cancers.

Authors:  Li Liu; Yung Chang; Tao Yang; David P Noren; Byron Long; Steven Kornblau; Amina Qutub; Jieping Ye
Journal:  Evol Appl       Date:  2016-10-21       Impact factor: 5.183

8.  Discriminate the response of Acute Myeloid Leukemia patients to treatment by using proteomics data and Answer Set Programming.

Authors:  Lokmane Chebouba; Bertrand Miannay; Dalila Boughaci; Carito Guziolowski
Journal:  BMC Bioinformatics       Date:  2018-03-08       Impact factor: 3.169

9.  Epigenetic dysregulation of NKD2 is a valuable predictor assessing treatment outcome in acute myeloid leukemia.

Authors:  Xi-Xi Li; Jing-Dong Zhou; Ting-Juan Zhang; Lei Yang; Xiang-Mei Wen; Ji-Chun Ma; Jing Yang; Zhi-Hui Zhang; Jiang Lin; Jun Qian
Journal:  J Cancer       Date:  2017-02-11       Impact factor: 4.207

10.  Unravelling the genomic landscape of leukemia using NGS techniques: the challenge remains.

Authors:  Jieun Kim
Journal:  Blood Res       Date:  2017-12-26
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