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

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

Research output: Contribution to journalArticle

142 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)6958-6963
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume100
Issue number12
DOIs
StatePublished - Jun 10 2003
Externally publishedYes

ASJC Scopus subject areas

  • General

Fingerprint Dive into the research topics of 'Predicting survival in patients with metastatic kidney cancer by gene-expression profiling in the primary tumor'. Together they form a unique fingerprint.

  • Cite this

    Vasselli, J. R., Shih, J. H., Iyengar, S. R., Maranchie, J., Riss, J., Worrell, R., Torres-Cabala, C., Tabios, R., Mariotti, A., Stearman, R., Merino, M., Walther, M. M., Simon, R., Klausner, R. D., & Linehan, W. M. (2003). Predicting survival in patients with metastatic kidney cancer by gene-expression profiling in the primary tumor. Proceedings of the National Academy of Sciences of the United States of America, 100(12), 6958-6963. https://doi.org/10.1073/pnas.1131754100