Literature DB >> 11296135

Gene expression profiling of lymphomas.

U Hegde1, W H Wilson.   

Abstract

The functional phenotype of a cell results from the simultaneous action of many thousands of genes, which until recently could not be assessed using standard molecular biological techniques. Indeed, molecular genetics and cellular biology inadequately explain the molecular physiology of normal and diseased cells and provide a fragmented view of the role of various genes and their products. Recent advances in techniques of large-scale gene expression allow simultaneous study of thousands of genes of interest in a specific tissue/tumor of interest, and the ability to identify expression signatures associated with functional phenotypes. The application of gene expression profiling to lymphomas has already led to identification of distinct expression signatures associated with a germinal center cell and activated B-cell phenotype, and to the differentiation of tumor cells based on these stages of development. The differentiation of two stages of developmental arrest in large B-cell lymphomas suggests that this subtype is comprised of two diseases, albeit of similar histologic and immunophenotypic character, which were shown to have dramatically different outcomes following chemotherapy. Important information will also be obtained through the association of genes of unknown activity with functional cellular phenotypes and expression signatures, possibly leading to identification of new genes involved in lymphomagenesis and new targets for treatment.

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Year:  2001        PMID: 11296135     DOI: 10.1007/s11912-001-0057-9

Source DB:  PubMed          Journal:  Curr Oncol Rep        ISSN: 1523-3790            Impact factor:   5.075


  24 in total

Review 1.  Genomics, gene expression and DNA arrays.

Authors:  D J Lockhart; E A Winzeler
Journal:  Nature       Date:  2000-06-15       Impact factor: 49.962

Review 2.  The lymphochip: a specialized cDNA microarray for the genomic-scale analysis of gene expression in normal and malignant lymphocytes.

Authors:  A Alizadeh; M Eisen; R E Davis; C Ma; H Sabet; T Tran; J I Powell; L Yang; G E Marti; D T Moore; J R Hudson; W C Chan; T Greiner; D Weisenburger; J O Armitage; I Lossos; R Levy; D Botstein; P O Brown; L M Staudt
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1999

3.  Prognostic significance of Bcl-2 protein expression and Bcl-2 gene rearrangement in diffuse aggressive non-Hodgkin's lymphoma.

Authors:  R D Gascoyne; S A Adomat; S Krajewski; M Krajewska; D E Horsman; A W Tolcher; S E O'Reilly; P Hoskins; A J Coldman; J C Reed; J M Connors
Journal:  Blood       Date:  1997-07-01       Impact factor: 22.113

Review 4.  The NPM/ALK gene fusion in the pathogenesis of anaplastic large cell lymphoma.

Authors:  M Ladanyi
Journal:  Cancer Surv       Date:  1997

5.  p53 mutations in human lymphoid malignancies: association with Burkitt lymphoma and chronic lymphocytic leukemia.

Authors:  G Gaidano; P Ballerini; J Z Gong; G Inghirami; A Neri; E W Newcomb; I T Magrath; D M Knowles; R Dalla-Favera
Journal:  Proc Natl Acad Sci U S A       Date:  1991-06-15       Impact factor: 11.205

6.  Detection of differentially expressed genes in lymphomas using cDNA arrays: identification of clusterin as a new diagnostic marker for anaplastic large-cell lymphomas.

Authors:  A Wellmann; C Thieblemont; S Pittaluga; A Sakai; E S Jaffe; P Siebert; M Raffeld
Journal:  Blood       Date:  2000-07-15       Impact factor: 22.113

7.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

8.  p53 status and the efficacy of cancer therapy in vivo.

Authors:  S W Lowe; S Bodis; A McClatchey; L Remington; H E Ruley; D E Fisher; D E Housman; T Jacks
Journal:  Science       Date:  1994-11-04       Impact factor: 47.728

9.  A predictive model for aggressive non-Hodgkin's lymphoma.

Authors: 
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

Review 10.  A revised European-American classification of lymphoid neoplasms: a proposal from the International Lymphoma Study Group.

Authors:  N L Harris; E S Jaffe; H Stein; P M Banks; J K Chan; M L Cleary; G Delsol; C De Wolf-Peeters; B Falini; K C Gatter
Journal:  Blood       Date:  1994-09-01       Impact factor: 22.113

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  1 in total

1.  Analysis of multiple sarcoma expression datasets: implications for classification, oncogenic pathway activation and chemotherapy resistance.

Authors:  Panagiotis A Konstantinopoulos; Elena Fountzilas; Jeffrey D Goldsmith; Manoj Bhasin; Kamana Pillay; Nancy Francoeur; Towia A Libermann; Mark C Gebhardt; Dimitrios Spentzos
Journal:  PLoS One       Date:  2010-04-01       Impact factor: 3.240

  1 in total

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