Literature DB >> 21285439

Prognostic impact of SNP array karyotyping in myelodysplastic syndromes and related myeloid malignancies.

Ramon V Tiu1, Lukasz P Gondek, Christine L O'Keefe, Paul Elson, Jungwon Huh, Azim Mohamedali, Austin Kulasekararaj, Anjali S Advani, Ronald Paquette, Alan F List, Mikkael A Sekeres, Michael A McDevitt, Ghulam J Mufti, Jaroslaw P Maciejewski.   

Abstract

Single nucleotide polymorphism arrays (SNP-As) have emerged as an important tool in the identification of chromosomal defects undetected by metaphase cytogenetics (MC) in hematologic cancers, offering superior resolution of unbalanced chromosomal defects and acquired copy-neutral loss of heterozygosity. Myelodysplastic syndromes (MDSs) and related cancers share recurrent chromosomal defects and molecular lesions that predict outcomes. We hypothesized that combining SNP-A and MC could improve diagnosis/prognosis and further the molecular characterization of myeloid malignancies. We analyzed MC/SNP-A results from 430 patients (MDS = 250, MDS/myeloproliferative overlap neoplasm = 95, acute myeloid leukemia from MDS = 85). The frequency and clinical significance of genomic aberrations was compared between MC and MC plus SNP-A. Combined MC/SNP-A karyotyping lead to higher diagnostic yield of chromosomal defects (74% vs 44%, P < .0001), compared with MC alone, often through detection of novel lesions in patients with normal/noninformative (54%) and abnormal (62%) MC results. Newly detected SNP-A defects contributed to poorer prognosis for patients stratified by current morphologic and clinical risk schemes. The presence and number of new SNP-A detected lesions are independent predictors of overall and event-free survival. The significant diagnostic and prognostic contributions of SNP-A-detected defects in MDS and related diseases underscore the utility of SNP-A when combined with MC in hematologic malignancies.

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Year:  2011        PMID: 21285439      PMCID: PMC3099573          DOI: 10.1182/blood-2010-07-295857

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  33 in total

1.  Identification of novel cytogenetic markers with prognostic significance in a series of 968 patients with primary myelodysplastic syndromes.

Authors:  Francesc Solé; Elisa Luño; Carmen Sanzo; Blanca Espinet; Guillermo F Sanz; José Cervera; María José Calasanz; Juan Cruz Cigudosa; Fuensanta Millà; Josep Maria Ribera; Encarna Bureo; Maria Luisa Marquez; Eva Arranz; Lourdes Florensa
Journal:  Haematologica       Date:  2005-09       Impact factor: 9.941

2.  International scoring system for evaluating prognosis in myelodysplastic syndromes.

Authors:  P Greenberg; C Cox; M M LeBeau; P Fenaux; P Morel; G Sanz; M Sanz; T Vallespi; T Hamblin; D Oscier; K Ohyashiki; K Toyama; C Aul; G Mufti; J Bennett
Journal:  Blood       Date:  1997-03-15       Impact factor: 22.113

3.  Clinical application and proposal for modification of the International Working Group (IWG) response criteria in myelodysplasia.

Authors:  Bruce D Cheson; Peter L Greenberg; John M Bennett; Bob Lowenberg; Pierre W Wijermans; Stephen D Nimer; Antonio Pinto; Miloslav Beran; Theo M de Witte; Richard M Stone; Moshe Mittelman; Guillermo F Sanz; Steven D Gore; Charles A Schiffer; Hagop Kantarjian
Journal:  Blood       Date:  2006-04-11       Impact factor: 22.113

4.  Five-year follow-up of patients receiving imatinib for chronic myeloid leukemia.

Authors:  Brian J Druker; François Guilhot; Stephen G O'Brien; Insa Gathmann; Hagop Kantarjian; Norbert Gattermann; Michael W N Deininger; Richard T Silver; John M Goldman; Richard M Stone; Francisco Cervantes; Andreas Hochhaus; Bayard L Powell; Janice L Gabrilove; Philippe Rousselot; Josy Reiffers; Jan J Cornelissen; Timothy Hughes; Hermine Agis; Thomas Fischer; Gregor Verhoef; John Shepherd; Giuseppe Saglio; Alois Gratwohl; Johan L Nielsen; Jerald P Radich; Bengt Simonsson; Kerry Taylor; Michele Baccarani; Charlene So; Laurie Letvak; Richard A Larson
Journal:  N Engl J Med       Date:  2006-12-07       Impact factor: 91.245

5.  Association between acquired uniparental disomy and homozygous gene mutation in acute myeloid leukemias.

Authors:  Jude Fitzgibbon; Lan-Lan Smith; Manoj Raghavan; Matthew L Smith; Silvana Debernardi; Spyros Skoulakis; Debra Lillington; T Andrew Lister; Bryan D Young
Journal:  Cancer Res       Date:  2005-10-15       Impact factor: 12.701

6.  New insights into the prognostic impact of the karyotype in MDS and correlation with subtypes: evidence from a core dataset of 2124 patients.

Authors:  Detlef Haase; Ulrich Germing; Julie Schanz; Michael Pfeilstöcker; Thomas Nösslinger; Barbara Hildebrandt; Andrea Kundgen; Michael Lübbert; Regina Kunzmann; Aristoteles A N Giagounidis; Carlo Aul; Lorenz Trümper; Otto Krieger; Reinhard Stauder; Thomas H Müller; Friedrich Wimazal; Peter Valent; Christa Fonatsch; Christian Steidl
Journal:  Blood       Date:  2007-08-28       Impact factor: 22.113

7.  The importance of diagnostic cytogenetics on outcome in AML: analysis of 1,612 patients entered into the MRC AML 10 trial. The Medical Research Council Adult and Children's Leukaemia Working Parties.

Authors:  D Grimwade; H Walker; F Oliver; K Wheatley; C Harrison; G Harrison; J Rees; I Hann; R Stevens; A Burnett; A Goldstone
Journal:  Blood       Date:  1998-10-01       Impact factor: 22.113

8.  Prevalence and prognostic significance of allelic imbalance by single-nucleotide polymorphism analysis in low-risk myelodysplastic syndromes.

Authors:  Azim Mohamedali; Joop Gäken; Natalie A Twine; Wendy Ingram; Nigel Westwood; Nicholas C Lea; Janet Hayden; Nora Donaldson; Carlo Aul; Norbert Gattermann; Aristotle Giagounidis; Ulrich Germing; Alan F List; Ghulam J Mufti
Journal:  Blood       Date:  2007-07-18       Impact factor: 22.113

9.  Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia.

Authors:  Charles G Mullighan; Salil Goorha; Ina Radtke; Christopher B Miller; Elaine Coustan-Smith; James D Dalton; Kevin Girtman; Susan Mathew; Jing Ma; Stanley B Pounds; Xiaoping Su; Ching-Hon Pui; Mary V Relling; William E Evans; Sheila A Shurtleff; James R Downing
Journal:  Nature       Date:  2007-04-12       Impact factor: 49.962

10.  Integration of global SNP-based mapping and expression arrays reveals key regions, mechanisms, and genes important in the pathogenesis of multiple myeloma.

Authors:  Brian A Walker; Paola E Leone; Matthew W Jenner; Cheng Li; David Gonzalez; David C Johnson; Fiona M Ross; Faith E Davies; Gareth J Morgan
Journal:  Blood       Date:  2006-05-16       Impact factor: 22.113

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  58 in total

1.  Age-related somatic structural changes in the nuclear genome of human blood cells.

Authors:  Lars A Forsberg; Chiara Rasi; Hamid R Razzaghian; Geeta Pakalapati; Lindsay Waite; Krista Stanton Thilbeault; Anna Ronowicz; Nathan E Wineinger; Hemant K Tiwari; Dorret Boomsma; Maxwell P Westerman; Jennifer R Harris; Robert Lyle; Magnus Essand; Fredrik Eriksson; Themistocles L Assimes; Carlos Iribarren; Eric Strachan; Terrance P O'Hanlon; Lisa G Rider; Frederick W Miller; Vilmantas Giedraitis; Lars Lannfelt; Martin Ingelsson; Arkadiusz Piotrowski; Nancy L Pedersen; Devin Absher; Jan P Dumanski
Journal:  Am J Hum Genet       Date:  2012-02-02       Impact factor: 11.025

2.  Array CGH identifies copy number changes in 11% of 520 MDS patients with normal karyotype and uncovers prognostically relevant deletions.

Authors:  S Volkert; T Haferlach; J Holzwarth; M Zenger; W Kern; M Staller; Y Nagata; K Yoshida; S Ogawa; S Schnittger; C Haferlach
Journal:  Leukemia       Date:  2015-09-22       Impact factor: 11.528

3.  Genetic predisposition to myelodysplastic syndrome and acute myeloid leukemia in children and young adults.

Authors:  Daria V Babushok; Monica Bessler; Timothy S Olson
Journal:  Leuk Lymphoma       Date:  2015-12-23

Review 4.  Standardizing the initial evaluation for myelodysplastic syndromes.

Authors:  Danielle Marshall; Gail J Roboz
Journal:  Curr Hematol Malig Rep       Date:  2013-12       Impact factor: 3.952

5.  Methylation of promoters of microRNAs and their host genes in myelodysplastic syndromes.

Authors:  Begum Erdogan; Amma Bosompem; Dunfa Peng; Leng Han; Emily Smith; Mija E Kennedy; Catherine E Alford; Huiyun Wu; Zhongming Zhao; Claudio A Mosse; Wael El-Rifai; Annette S Kim
Journal:  Leuk Lymphoma       Date:  2013-05-15

6.  Myelodysplastic syndrome after allogeneic hematopoietic stem cell transplantation: diagnostic and therapeutic challenges.

Authors:  Nirali N Shah; Ulrike Bacher; Terry Fry; Katherine R Calvo; Maryalice Stetler-Stevenson; Diane C Arthur; Roger Kurlander; Kristin Baird; Barbara Wise; Sergio Giralt; Michael Bishop; Nancy M Hardy; Alan S Wayne
Journal:  Am J Hematol       Date:  2012-04-04       Impact factor: 10.047

7.  I walk the line: how to tell MDS from other bone marrow failure conditions.

Authors:  Lukasz P Gondek; Amy E DeZern
Journal:  Curr Hematol Malig Rep       Date:  2014-12       Impact factor: 3.952

8.  Aberrations identified by genomic arrays in normal karyotype CMML can be detected in 40% of patients, but do not add prognostic information to molecular mutations.

Authors:  C Vetro; C Haferlach; T Haferlach; M Zenger; N Nadarajah; W Kern; M Meggendorfer
Journal:  Leukemia       Date:  2016-05-25       Impact factor: 11.528

9.  An international consortium proposal of uniform response criteria for myelodysplastic/myeloproliferative neoplasms (MDS/MPN) in adults.

Authors:  Michael R Savona; Luca Malcovati; Rami Komrokji; Ramon V Tiu; Tariq I Mughal; Attilio Orazi; Jean-Jacques Kiladjian; Eric Padron; Eric Solary; Raoul Tibes; Raphael Itzykson; Mario Cazzola; Ruben Mesa; Jaroslaw Maciejewski; Pierre Fenaux; Guillermo Garcia-Manero; Aaron Gerds; Guillermo Sanz; Charlotte M Niemeyer; Francisco Cervantes; Ulrich Germing; Nicholas C P Cross; Alan F List
Journal:  Blood       Date:  2015-01-26       Impact factor: 22.113

10.  Risk stratification in myelodysplastic syndromes: is there a role for gene expression profiling?

Authors:  Amer M Zeidan; Thomas Prebet; Ehab Saad Aldin; Steven David Gore
Journal:  Expert Rev Hematol       Date:  2014-02-24       Impact factor: 2.929

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