Literature DB >> 16465525

[Microarrays for the identification of molecular markers in the diagnosis and therapy of renal cell carcinomas].

H Sültmann1, A Poustka.   

Abstract

Within the framework of the large interdisciplinary projects in biology, in particular the human genome project, a variety of novel technologies with unprecedented value for the analysis of clinical issues have been developed. DNA microarrays are a prominent example of this: they are powerful tools to investigate global gene expression in tumors and their corresponding normal tissues, to classify tumors based on their molecular properties, and to identify novel targets for future tumor therapy. Here, we review recent results of global gene expression analyses in renal cell carcinoma and discuss their implications for the diagnosis, prognosis, and therapy of human cancer.

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Year:  2006        PMID: 16465525     DOI: 10.1007/s00120-006-1003-0

Source DB:  PubMed          Journal:  Urologe A        ISSN: 0340-2592            Impact factor:   0.639


  22 in total

1.  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

2.  A molecular classification of papillary renal cell carcinoma.

Authors:  Ximing J Yang; Min-Han Tan; Hyung L Kim; Jonathon A Ditlev; Mark W Betten; Carolina E Png; Eric J Kort; Kunihiko Futami; Kyle A Furge; Masayuki Takahashi; Hiro-Omi Kanayama; Puay Hoon Tan; Bin Sing Teh; Chunyan Luan; Kim Wang; Michael Pins; Maria Tretiakova; John Anema; Richard Kahnoski; Theresa Nicol; Walter Stadler; Nicholas G Vogelzang; Robert Amato; David Seligson; Robert Figlin; Arie Belldegrun; Craig G Rogers; Bin Tean Teh
Journal:  Cancer Res       Date:  2005-07-01       Impact factor: 12.701

3.  Enhanced expression of c-myc and epidermal growth factor receptor (C-erbB-1) genes in primary human renal cancer.

Authors:  M Yao; T Shuin; H Misaki; Y Kubota
Journal:  Cancer Res       Date:  1988-12-01       Impact factor: 12.701

4.  Identification and classification of differentially expressed genes in renal cell carcinoma by expression profiling on a global human 31,500-element cDNA array.

Authors:  J M Boer; W K Huber; H Sültmann; F Wilmer; A von Heydebreck; S Haas; B Korn; B Gunawan; A Vente; L Füzesi; M Vingron; A Poustka
Journal:  Genome Res       Date:  2001-11       Impact factor: 9.043

5.  High-throughput tissue microarray analysis to evaluate genes uncovered by cDNA microarray screening in renal cell carcinoma.

Authors:  H Moch; P Schraml; L Bubendorf; M Mirlacher; J Kononen; T Gasser; M J Mihatsch; O P Kallioniemi; G Sauter
Journal:  Am J Pathol       Date:  1999-04       Impact factor: 4.307

6.  Diagnosis of multiple cancer types by shrunken centroids of gene expression.

Authors:  Robert Tibshirani; Trevor Hastie; Balasubramanian Narasimhan; Gilbert Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-14       Impact factor: 11.205

7.  Clear cell renal cell carcinoma: gene expression analyses identify a potential signature for tumor aggressiveness.

Authors:  Farhad Kosari; Alexander S Parker; Dagmar Marie Kube; Christine M Lohse; Bradley C Leibovich; Michael L Blute; John C Cheville; George Vasmatzis
Journal:  Clin Cancer Res       Date:  2005-07-15       Impact factor: 12.531

8.  Amplification and overexpression of the epidermal growth factor receptor gene in human renal-cell carcinoma.

Authors:  J Ishikawa; S Maeda; K Umezu; T Sugiyama; S Kamidono
Journal:  Int J Cancer       Date:  1990-06-15       Impact factor: 7.396

Review 9.  Genetic basis of cancer of the kidney: disease-specific approaches to therapy.

Authors:  W Marston Linehan; James Vasselli; Ramaprasad Srinivasan; McClellan M Walther; Maria Merino; Peter Choyke; Cathy Vocke; Laura Schmidt; Jennifer S Isaacs; Gladys Glenn; Jorge Toro; Berton Zbar; Donald Bottaro; Len Neckers
Journal:  Clin Cancer Res       Date:  2004-09-15       Impact factor: 12.531

10.  Predicting survival in patients with metastatic kidney cancer by gene-expression profiling in the primary tumor.

Authors:  James R Vasselli; Joanna H Shih; Shuba R Iyengar; Jodi Maranchie; Joseph Riss; Robert Worrell; Carlos Torres-Cabala; Ray Tabios; Andra Mariotti; Robert Stearman; Maria Merino; McClellan M Walther; Richard Simon; Richard D Klausner; W Marston Linehan
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-30       Impact factor: 11.205

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