Literature DB >> 12049658

Microarrays and molecular markers for tumor classification.

Brian Z Ring1, Douglas T Ross.   

Abstract

Human cancers have traditionally been classified according to their tissue of origin, histological characteristics and, to some extent, molecular markers. Clinical studies have associated different tumor classes with differences in prognosis and in response to therapy. Measurement of the expression of thousands of genes in hundreds of cancer specimens has begun to reveal novel molecularly defined subclasses of tumor; some of these classes appear to predict clinical behavior, while others may define tumor types that are ripe for directed development of therapeutics. Unfortunately, at present, differences between studies of similar tumor types can be as striking as their similarities.

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Year:  2002        PMID: 12049658      PMCID: PMC139355          DOI: 10.1186/gb-2002-3-5-comment2005

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   13.583


  22 in total

1.  Significance analysis of microarrays applied to the ionizing radiation response.

Authors:  V G Tusher; R Tibshirani; G Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-17       Impact factor: 11.205

2.  Gene expression profiling of clear cell renal cell carcinoma: gene identification and prognostic classification.

Authors:  M Takahashi; D R Rhodes; K A Furge; H Kanayama ; S Kagawa; B B Haab; B T Teh
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-07       Impact factor: 11.205

3.  Gene-expression profiles in hereditary breast cancer.

Authors:  I Hedenfalk; D Duggan; Y Chen; M Radmacher; M Bittner; R Simon; P Meltzer; B Gusterson; M Esteller; O P Kallioniemi; B Wilfond; A Borg; J Trent; M Raffeld; Z Yakhini; A Ben-Dor; E Dougherty; J Kononen; L Bubendorf; W Fehrle; S Pittaluga; S Gruvberger; N Loman; O Johannsson; H Olsson; G Sauter
Journal:  N Engl J Med       Date:  2001-02-22       Impact factor: 91.245

4.  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

5.  Distinctive molecular profiles of high-grade and low-grade gliomas based on oligonucleotide microarray analysis.

Authors:  D S Rickman; M P Bobek; D E Misek; R Kuick; M Blaivas; D M Kurnit; J Taylor; S M Hanash
Journal:  Cancer Res       Date:  2001-09-15       Impact factor: 12.701

6.  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

7.  Ongoing immunoglobulin somatic mutation in germinal center B cell-like but not in activated B cell-like diffuse large cell lymphomas.

Authors:  I S Lossos; A A Alizadeh; M B Eisen; W C Chan; P O Brown; D Botstein; L M Staudt; R Levy
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

8.  Delineation of prognostic biomarkers in prostate cancer.

Authors:  S M Dhanasekaran; T R Barrette; D Ghosh; R Shah; S Varambally; K Kurachi; K J Pienta; M A Rubin; A M Chinnaiyan
Journal:  Nature       Date:  2001-08-23       Impact factor: 49.962

9.  Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses.

Authors:  A Bhattacharjee; W G Richards; J Staunton; C Li; S Monti; P Vasa; C Ladd; J Beheshti; R Bueno; M Gillette; M Loda; G Weber; E J Mark; E S Lander; W Wong; B E Johnson; T R Golub; D J Sugarbaker; M Meyerson
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-13       Impact factor: 11.205

10.  Molecular classification of human carcinomas by use of gene expression signatures.

Authors:  A I Su; J B Welsh; L M Sapinoso; S G Kern; P Dimitrov; H Lapp; P G Schultz; S M Powell; C A Moskaluk; H F Frierson; G M Hampton
Journal:  Cancer Res       Date:  2001-10-15       Impact factor: 12.701

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  6 in total

1.  Multiple sclerosis-linked and interferon-beta-regulated gene expression in plasmacytoid dendritic cells.

Authors:  Latt Latt Aung; Andrew Brooks; Steven A Greenberg; Michael L Rosenberg; Suhayl Dhib-Jalbut; Konstantin E Balashov
Journal:  J Neuroimmunol       Date:  2012-06-09       Impact factor: 3.478

2.  Informatively clustering longitudinal microarrays using binary or survival outcome data.

Authors:  Jessie J Hsu; Dianne M Finkelstein; David A Schoenfeld
Journal:  Commun Stat Case Stud Data Anal Appl       Date:  2018-04-09

3.  Analysis of the relationship between longitudinal gene expressions and ordered categorical event data.

Authors:  Natasa Rajicic; Dianne M Finkelstein; David A Schoenfeld
Journal:  Stat Med       Date:  2009-09-30       Impact factor: 2.373

4.  Individualized markers optimize class prediction of microarray data.

Authors:  Pavlos Pavlidis; Panayiota Poirazi
Journal:  BMC Bioinformatics       Date:  2006-07-14       Impact factor: 3.169

5.  Transcriptional territories in the genome.

Authors:  Jonathan B Weitzman
Journal:  J Biol       Date:  2002-06-25

6.  RNA-binding proteins to assess gene expression states of co-cultivated cells in response to tumor cells.

Authors:  Luiz O F Penalva; Michael D Burdick; Simon M Lin; Hedwig Sutterluety; Jack D Keene
Journal:  Mol Cancer       Date:  2004-09-07       Impact factor: 27.401

  6 in total

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