Literature DB >> 12105272

Acute myeloid leukemias with reciprocal rearrangements can be distinguished by specific gene expression profiles.

Claudia Schoch1, Alexander Kohlmann, Susanne Schnittger, Benedikt Brors, Martin Dugas, Susanne Mergenthaler, Wolfgang Kern, Wolfgang Hiddemann, Roland Eils, Torsten Haferlach.   

Abstract

Acute myeloid leukemia (AML) is a heterogeneous group of genetically defined diseases. Their classification is important with regard to prognosis and treatment. We performed microarray analyses for gene expression profiling on bone marrow samples of 37 patients with newly diagnosed AML. All cases had either of the distinct subtypes AML M2 with t(8;21), AML M3 or M3v with t(15;17), or AML M4eo with inv(16). Diagnosis was established by cytomorphology, cytogenetics, fluorescence in situ hybridization, and reverse transcriptase-PCR in every sample. By using two different strategies for microarray data analyses, this study revealed a unique correlation between AML-specific cytogenetic aberrations and gene expression profiles.

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Year:  2002        PMID: 12105272      PMCID: PMC126615          DOI: 10.1073/pnas.142103599

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  41 in total

1.  Dependence of age-specific incidence of acute myeloid leukemia on karyotype.

Authors:  C Schoch; W Kern; P Krawitz; M Dugas; S Schnittger; T Haferlach; W Hiddemann
Journal:  Blood       Date:  2001-12-01       Impact factor: 22.113

2.  A comprehensive leukemia database: integration of cytogenetics, molecular genetics and microarray data with clinical information, cytomorphology and immunophenotyping.

Authors:  M Dugas; C Schoch; S Schnittger; T Haferlach; S Danhauser-Riedl; W Hiddemann; D Messerer; K Uberla
Journal:  Leukemia       Date:  2001-12       Impact factor: 11.528

3.  Identification of myelodysplastic syndrome-specific genes by DNA microarray analysis with purified hematopoietic stem cell fraction.

Authors:  A Miyazato; S Ueno; K Ohmine; M Ueda; K Yoshida; Y Yamashita; T Kaneko; M Mori; K Kirito; M Toshima; Y Nakamura; K Saito; Y Kano; S Furusawa; K Ozawa; H Mano
Journal:  Blood       Date:  2001-07-15       Impact factor: 22.113

4.  Altered apoptosis pathways in mantle cell lymphoma detected by oligonucleotide microarray.

Authors:  W K Hofmann; S de Vos; K Tsukasaki; W Wachsman; G S Pinkus; J W Said; H P Koeffler
Journal:  Blood       Date:  2001-08-01       Impact factor: 22.113

5.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

Authors:  T Sørlie; C M Perou; R Tibshirani; T Aas; S Geisler; H Johnsen; T Hastie; M B Eisen; M van de Rijn; S S Jeffrey; T Thorsen; H Quist; J C Matese; P O Brown; D Botstein; P E Lønning; A L Børresen-Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

6.  Multiclass cancer diagnosis using tumor gene expression signatures.

Authors:  S Ramaswamy; P Tamayo; R Rifkin; S Mukherjee; C H Yeang; M Angelo; C Ladd; M Reich; E Latulippe; J P Mesirov; T Poggio; W Gerald; M Loda; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205

7.  MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia.

Authors:  Scott A Armstrong; Jane E Staunton; Lewis B Silverman; Rob Pieters; Monique L den Boer; Mark D Minden; Stephen E Sallan; Eric S Lander; Todd R Golub; Stanley J Korsmeyer
Journal:  Nat Genet       Date:  2001-12-03       Impact factor: 38.330

8.  Predicting the clinical status of human breast cancer by using gene expression profiles.

Authors:  M West; C Blanchette; H Dressman; E Huang; S Ishida; R Spang; H Zuzan; J A Olson; J R Marks; J R Nevins
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-18       Impact factor: 11.205

9.  Expression profiling of medulloblastoma: PDGFRA and the RAS/MAPK pathway as therapeutic targets for metastatic disease.

Authors:  T J MacDonald; K M Brown; B LaFleur; K Peterson; C Lawlor; Y Chen; R J Packer; P Cogen; D A Stephan
Journal:  Nat Genet       Date:  2001-10       Impact factor: 38.330

10.  Analysis of FLT3 length mutations in 1003 patients with acute myeloid leukemia: correlation to cytogenetics, FAB subtype, and prognosis in the AMLCG study and usefulness as a marker for the detection of minimal residual disease.

Authors:  Susanne Schnittger; Claudia Schoch; Martin Dugas; Wolfgang Kern; Peter Staib; Christian Wuchter; Helmut Löffler; Cristina Maria Sauerland; Hubert Serve; Thomas Büchner; Torsten Haferlach; Wolfgang Hiddemann
Journal:  Blood       Date:  2002-07-01       Impact factor: 22.113

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  48 in total

Review 1.  [DNA-chips in the diagnosis of hematological malignancies].

Authors:  M Feuring-Buske; E M Hartmann; G Ott; H Reuter; C Buske; A Rosenwald
Journal:  Internist (Berl)       Date:  2006-01       Impact factor: 0.743

2.  Gene expression profiles in acute myeloid leukemia with common translocations using SAGE.

Authors:  Sanggyu Lee; Jianjun Chen; Guolin Zhou; Run Zhang Shi; Gerard G Bouffard; Masha Kocherginsky; Xijin Ge; Miao Sun; Nimanthi Jayathilaka; Yeong Cheol Kim; Neelmini Emmanuel; Stefan K Bohlander; Mark Minden; Justin Kline; Ozden Ozer; Richard A Larson; Michelle M LeBeau; Eric D Green; Jeffery Trent; Theodore Karrison; Piu Paul Liu; San Ming Wang; Janet D Rowley
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-17       Impact factor: 11.205

3.  Prediction of molecular subtypes in acute myeloid leukemia based on gene expression profiling.

Authors:  Roel G W Verhaak; Bas J Wouters; Claudia A J Erpelinck; Saman Abbas; H Berna Beverloo; Sanne Lugthart; Bob Löwenberg; Ruud Delwel; Peter J M Valk
Journal:  Haematologica       Date:  2008-10-06       Impact factor: 9.941

4.  Identification of a 24-gene prognostic signature that improves the European LeukemiaNet risk classification of acute myeloid leukemia: an international collaborative study.

Authors:  Zejuan Li; Tobias Herold; Chunjiang He; Peter J M Valk; Ping Chen; Vindi Jurinovic; Ulrich Mansmann; Michael D Radmacher; Kati S Maharry; Miao Sun; Xinan Yang; Hao Huang; Xi Jiang; Maria-Cristina Sauerland; Thomas Büchner; Wolfgang Hiddemann; Abdel Elkahloun; Mary Beth Neilly; Yanming Zhang; Richard A Larson; Michelle M Le Beau; Michael A Caligiuri; Konstanze Döhner; Lars Bullinger; Paul P Liu; Ruud Delwel; Guido Marcucci; Bob Lowenberg; Clara D Bloomfield; Janet D Rowley; Stefan K Bohlander; Jianjun Chen
Journal:  J Clin Oncol       Date:  2013-02-04       Impact factor: 44.544

Review 5.  Cytogenetics in acute myeloid leukemia.

Authors:  Claudia Schoch; Torsten Haferlach
Journal:  Curr Oncol Rep       Date:  2002-09       Impact factor: 5.075

6.  Expression profiling of murine acute promyelocytic leukemia cells reveals multiple model-dependent progression signatures.

Authors:  Matthew J Walter; John S Park; Steven K M Lau; Xia Li; Andrew A Lane; Rakesh Nagarajan; William D Shannon; Timothy J Ley
Journal:  Mol Cell Biol       Date:  2004-12       Impact factor: 4.272

7.  Acute myeloid leukemia fusion proteins deregulate genes involved in stem cell maintenance and DNA repair.

Authors:  Myriam Alcalay; Natalia Meani; Vania Gelmetti; Anna Fantozzi; Marta Fagioli; Annette Orleth; Daniela Riganelli; Carla Sebastiani; Enrico Cappelli; Cristina Casciari; Maria Teresa Sciurpi; Angela Rosa Mariano; Simone Paolo Minardi; Lucilla Luzi; Heiko Muller; Pier Paolo Di Fiore; Guido Frosina; Pier Giuseppe Pelicci
Journal:  J Clin Invest       Date:  2003-12       Impact factor: 14.808

8.  POU4F1 is associated with t(8;21) acute myeloid leukemia and contributes directly to its unique transcriptional signature.

Authors:  J M Fortier; J E Payton; P Cahan; T J Ley; M J Walter; T A Graubert
Journal:  Leukemia       Date:  2010-04-08       Impact factor: 11.528

9.  Integrative meta-analysis of differential gene expression in acute myeloid leukemia.

Authors:  Brady G Miller; John A Stamatoyannopoulos
Journal:  PLoS One       Date:  2010-03-01       Impact factor: 3.240

10.  Quantitative comparison of microarray experiments with published leukemia related gene expression signatures.

Authors:  Hans-Ulrich Klein; Christian Ruckert; Alexander Kohlmann; Lars Bullinger; Christian Thiede; Torsten Haferlach; Martin Dugas
Journal:  BMC Bioinformatics       Date:  2009-12-15       Impact factor: 3.169

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