Transcriptional profiles in peripheral blood mononuclear cells prognostic of clinical outcomes in patients with advanced renal cell carcinoma
| Autor: | Michael E, Burczynski, Natalie C, Twine, Gary, Dukart, Bonnie, Marshall, Manuel, Hidalgo, Walter M, Stadler, Theodore, Logan, Janice, Dutcher, Gary, Hudes, William L, Trepicchio, Andrew, Strahs, Fred, Immermann, Donna K, Slonim, Andrew J, Dorner |
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| Rok vydání: | 2005 |
| Předmět: |
Adult
Aged 80 and over Male Sirolimus Antibiotics Antineoplastic Adolescent Transcription Genetic Gene Expression Profiling Middle Aged Prognosis Survival Analysis Kidney Neoplasms Gene Expression Regulation Neoplastic Treatment Outcome Leukocytes Mononuclear Cluster Analysis Humans Female Carcinoma Renal Cell Aged Oligonucleotide Array Sequence Analysis |
| Zdroj: | Clinical cancer research : an official journal of the American Association for Cancer Research. 11(3) |
| ISSN: | 1078-0432 |
| Popis: | Given their accessibility, surrogate tissues, such as peripheral blood mononuclear cells (PBMC), may provide potential predictive biomarkers in clinical pharmacogenomic studies. In leukemias and lymphomas, the prognostic value of peripheral blast expression profiles is clear; however, it is unclear whether circulating mononuclear cells of patients with solid tumors might yield profiles with similar prognostic associations.In this study, we evaluated the association of expression profiles in PBMCs with clinical outcomes in patients with advanced renal cell cancer. Transcriptional patterns in PBMCs of 45 renal cell cancer patients were compared with clinical outcome data at the conclusion of a phase II study of the mTOR kinase inhibitor CCI-779 to determine whether pretreatment transcriptional patterns in PBMCs were correlated with eventual patient outcomes.Unsupervised hierarchical clustering of the PBMC profiles using all expressed genes identified clusters of patients with significant differences in survival. Cox proportional hazards modeling showed that the expression levels of many PBMC transcripts were predictors for the patient outcomes of time to progression and overall survival (time to death). Supervised class prediction approaches identified multivariate expression patterns in PBMCs capable of assigning favorable outcomes of time to death and time to progression in a test set of renal cancer patients, with overall performance accuracies of 72% and 85%, respectively.The present study provides the first example of gene expression profiling in peripheral blood, a clinically accessible surrogate tissue, for identifying patterns of gene expression associated with higher likelihoods of positive outcome in patients with a solid tumor. |
| Databáze: | OpenAIRE |
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