Literature DB >> 12777628

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

James R Vasselli1, 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.   

Abstract

To identify potential molecular determinants of tumor biology and possible clinical outcomes, global gene-expression patterns were analyzed in the primary tumors of patients with metastatic renal cell cancer by using cDNA microarrays. We used grossly dissected tumor masses that included tumor, blood vessels, connective tissue, and infiltrating immune cells to obtain a gene-expression "profile" from each primary tumor. Two patterns of gene expression were found within this uniformly staged patient population, which correlated with a significant difference in overall survival between the two patient groups. Subsets of genes most significantly associated with survival were defined, and vascular cell adhesion molecule-1 (VCAM-1) was the gene most predictive for survival. Therefore, despite the complex biological nature of metastatic cancer, basic clinical behavior as defined by survival may be determined by the gene-expression patterns expressed within the compilation of primary gross tumor cells. We conclude that survival in patients with metastatic renal cell cancer can be correlated with the expression of various genes based solely on the expression profile in the primary kidney tumor.

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Year:  2003        PMID: 12777628      PMCID: PMC165812          DOI: 10.1073/pnas.1131754100

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


  22 in total

1.  High-fidelity mRNA amplification for gene profiling.

Authors:  E Wang; L D Miller; G A Ohnmacht; E T Liu; F M Marincola
Journal:  Nat Biotechnol       Date:  2000-04       Impact factor: 54.908

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.  Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data.

Authors:  Lisa M McShane; Michael D Radmacher; Boris Freidlin; Ren Yu; Ming-Chung Li; Richard Simon
Journal:  Bioinformatics       Date:  2002-11       Impact factor: 6.937

4.  Advantages of mRNA amplification for microarray analysis.

Authors:  A L Feldman; N G Costouros; E Wang; M Qian; F M Marincola; H R Alexander; S K Libutti
Journal:  Biotechniques       Date:  2002-10       Impact factor: 1.993

5.  Lack of retroperitoneal lymphadenopathy predicts survival of patients with metastatic renal cell carcinoma.

Authors:  J R Vasselli; J C Yang; W M Linehan; D E White; S A Rosenberg; M M Walther
Journal:  J Urol       Date:  2001-07       Impact factor: 7.450

6.  Proliferative activity of intratumoral CD8(+) T-lymphocytes as a prognostic factor in human renal cell carcinoma: clinicopathologic demonstration of antitumor immunity.

Authors:  O Nakano; M Sato; Y Naito; K Suzuki; S Orikasa; M Aizawa; Y Suzuki; I Shintaku; H Nagura; H Ohtani
Journal:  Cancer Res       Date:  2001-07-01       Impact factor: 12.701

7.  Prognostic indicators for renal cell carcinoma: a multivariate analysis of 643 patients using the revised 1997 TNM staging criteria.

Authors:  K H Tsui; O Shvarts; R B Smith; R A Figlin; J B deKernion; A Belldegrun
Journal:  J Urol       Date:  2000-04       Impact factor: 7.450

8.  DNA ploidy is a valuable predictor for prognosis of patients with resected renal cell carcinoma.

Authors:  H Abou-Rebyeh; V Borgmann; R Nagel; H Al-Abadi
Journal:  Cancer       Date:  2001-11-01       Impact factor: 6.860

9.  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

10.  Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.

Authors:  A A Alizadeh; M B Eisen; R E Davis; C Ma; I S Lossos; A Rosenwald; J C Boldrick; H Sabet; T Tran; X Yu; J I Powell; L Yang; G E Marti; T Moore; J Hudson; L Lu; D B Lewis; R Tibshirani; G Sherlock; W C Chan; T C Greiner; D D Weisenburger; J O Armitage; R Warnke; R Levy; W Wilson; M R Grever; J C Byrd; D Botstein; P O Brown; L M Staudt
Journal:  Nature       Date:  2000-02-03       Impact factor: 49.962

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  50 in total

1.  Stability and heterogeneity of expression profiles in lung cancer specimens harvested following surgical resection.

Authors:  Fiona H Blackhall; Melania Pintilie; Dennis A Wigle; Igor Jurisica; Ni Liu; Nikolina Radulovich; Michael R Johnston; Shaf Keshavjee; Ming-Sound Tsao
Journal:  Neoplasia       Date:  2004 Nov-Dec       Impact factor: 5.715

2.  Whole transcriptome amplification for gene expression profiling and development of molecular archives.

Authors:  Scott A Tomlins; Rohit Mehra; Daniel R Rhodes; Rajal B Shah; Mark A Rubin; Eric Bruening; Vladimir Makarov; Arul M Chinnaiyan
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Review 3.  Clinical uses of microarrays in cancer research.

Authors:  Carl Virtanen; James Woodgett
Journal:  Methods Mol Med       Date:  2008

4.  Kinome expression profiling identifies IKBKE as a predictor of overall survival in clear cell renal cell carcinoma patients.

Authors:  Michelle A T Hildebrandt; Weiqi Tan; Pheroze Tamboli; Maosheng Huang; Yuanqing Ye; Jie Lin; Ju-Seog Lee; Christopher G Wood; Xifeng Wu
Journal:  Carcinogenesis       Date:  2012-01-19       Impact factor: 4.944

Review 5.  What can molecular pathology contribute to the management of renal cell carcinoma?

Authors:  Grant D Stewart; Fiach C O'Mahony; Thomas Powles; Antony C P Riddick; David J Harrison; Dana Faratian
Journal:  Nat Rev Urol       Date:  2011-04-12       Impact factor: 14.432

6.  Expression of human chorionic gonadotropin beta-subunit type I genes predicts adverse outcome in renal cell carcinoma.

Authors:  Kristina Hotakainen; Susanna Lintula; Börje Ljungberg; Patrik Finne; Annukka Paju; Ulf-Håkan Stenman; Jakob Stenman
Journal:  J Mol Diagn       Date:  2006-11       Impact factor: 5.568

7.  Biological resonance for cancer metastasis, a new hypothesis based on comparisons between primary cancers and metastases.

Authors:  Dongwei Gao; Sha Li
Journal:  Cancer Microenviron       Date:  2013-11-10

Review 8.  The changing face of renal cell carcinoma pathology.

Authors:  Hakan Aydin; Ming Zhou
Journal:  Curr Oncol Rep       Date:  2008-05       Impact factor: 5.075

9.  Watchful waiting in the treatment of the small renal mass.

Authors:  K Clint Cary; Chandru P Sundaram
Journal:  Indian J Urol       Date:  2009 Oct-Dec

10.  Staging of renal cell carcinoma: Current concepts.

Authors:  John S Lam; Tobias Klatte; Alberto Breda
Journal:  Indian J Urol       Date:  2009 Oct-Dec
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