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Updated: Jun 17, 2026
Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Gene expression signatures in breast cancer distinguish phenotype characteristics, histologic subtypes, and tumor
Vincente Pedraza1, Jose A Gomez-Capilla, Georgia Escaramis
1Department of Radiation Oncology, University of Granada School of Medicine, 18012 Granada, Spain.
Background:
The development of reliable gene expression profiling technology is having an increasing impact on the understanding of breast cancer biology.
Methods:
In this study, microarray analysis was performed to establish gene signatures for different breast cancer phenotypes, to determine differentially expressed gene sequences at different stages of the disease, and to identify sequences with biologic significance for tumor progression. Samples were taken from patients before their treatment. After microarray analysis, the expression level of 153 selected genes was studied by real-time quantitative polymerase chain reaction analysis.
Results:
Several gene sequences were expressed differentially in tumor samples versus control samples and also were associated with different breast cancer phenotypes, estrogen receptor status, tumor histology, and grade of tumor differentiation. In lymph node-negative tumors were identified a set of genes related to tumor differentiation grade.
Conclusions:
Several differentially expressed gene sequences were identified at different stages of breast cancer.
