Gene expression profiling identifies clinically relevant subtypes of prostate cancer
Linköping University · Louisiana State University Health Sciences Center New Orleans
Abstract
Prostate cancer, a leading cause of cancer death, displays a broad range of clinical behavior from relatively indolent to aggressive metastatic disease. To explore potential molecular variation underlying this clinical heterogeneity, we profiled gene expression in 62 primary prostate tumors, as well as 41 normal prostate specimens and nine lymph node metastases, using cDNA microarrays containing approximately 26,000 genes. Unsupervised hierarchical clustering readily distinguished tumors from normal samples, and further identified three subclasses of prostate tumors based on distinct patterns of gene expression. High-grade and advanced stage tumors, as well as tumors associated with recurrence, were…
Citation impact
- FWCI
- 31.34
- Percentile
- 100%
- References
- 50
Authors
17- JLJacques LapointeCorresponding
Linköping University, Louisiana State University Health Sciences Center New Orleans
- CLChunde Li
Linköping University, Louisiana State University Health Sciences Center New Orleans
- JPJohn P. Higgins
Linköping University, Louisiana State University Health Sciences Center New Orleans
- MVMatt van de Rijn
Linköping University, Louisiana State University Health Sciences Center New Orleans
- EBEric Bair
Linköping University, Louisiana State University Health Sciences Center New Orleans
Topics & keywords
- Prostate cancer
- Lymph node
- PCA3
- Prostate
- Gene expression profiling
- Tissue microarray
- Biology
- Pathology
- Good health and well-being