<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>100(12)</volume><submitter>Vasselli JR</submitter><pubmed_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</pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pagination>6958-63</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC165812</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Predicting survival in patients with metastatic kidney cancer by gene-expression profiling in the primary tumor.</pubmed_title><pmcid>PMC165812</pmcid><pubmed_authors>Linehan WM</pubmed_authors><pubmed_authors>Maranchie J</pubmed_authors><pubmed_authors>Riss J</pubmed_authors><pubmed_authors>Worrell R</pubmed_authors><pubmed_authors>Stearman R</pubmed_authors><pubmed_authors>Walther MM</pubmed_authors><pubmed_authors>Klausner RD</pubmed_authors><pubmed_authors>Merino M</pubmed_authors><pubmed_authors>Simon R</pubmed_authors><pubmed_authors>Torres-Cabala C</pubmed_authors><pubmed_authors>Vasselli JR</pubmed_authors><pubmed_authors>Mariotti A</pubmed_authors><pubmed_authors>Iyengar SR</pubmed_authors><pubmed_authors>Shih JH</pubmed_authors><pubmed_authors>Tabios R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predicting survival in patients with metastatic kidney cancer by gene-expression profiling in the primary tumor.</name><description>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</description><dates><release>2003-01-01T00:00:00Z</release><publication>2003 Jun</publication><modification>2026-03-27T17:31:16.622Z</modification><creation>2025-06-01T02:59:17.505Z</creation></dates><accession>S-EPMC165812</accession><cross_references><pubmed>12777628</pubmed><doi>10.1073/pnas.1131754100</doi></cross_references></HashMap>