1. [Simplified, low-cost gene expression profiling for the prediction of outcome in breast cancer based on routine histologic specimens].
- Author
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Szász AM, Ács B, Ágoston E, Sztupinszki Z, Tőkés AM, Szittya L, Székely B, Szendrői M, Li Q, Harsányi L, Tímár J, Szállási Z, Swanton C, Győrffy B, and Kulka J
- Subjects
- Adult, Aged, Aged, 80 and over, Breast Neoplasms therapy, Computer Simulation, Disease-Free Survival, Female, Fixatives, Formaldehyde, Gene Expression Profiling economics, Gene Expression Regulation, Neoplastic, Health Care Costs, Humans, Middle Aged, Neoplasm Grading, Paraffin Embedding, Polymerase Chain Reaction methods, Predictive Value of Tests, Prognosis, Treatment Outcome, Breast Neoplasms metabolism, Breast Neoplasms pathology, Gene Expression Profiling methods
- Abstract
Background: Grade 2 breast carcinomas do not form a uniform prognostic group., Aim: To extend the number of patients and the investigated genes of a previously identified prognostic signature described by the authors that reflect chromosomal instability in order to refine characterization of grade 2 breast cancers and identify driver genes., Methods: Using publicly available databases, the authors selected 9 target and 3 housekeeping genes that are capable to divide grade 2 breast carcinomas into prognostic groups. Gene expression was investigated by polymerase chain reaction in 249 formalin-fixed, paraffin-embedded breast tumors. The results were correlated with relapse-free survival., Results: Histologically grade 2 carcinomas were split into good and a poor prognosis groups. Centroid-based ranking showed that 3 genes, FOXM1, TOP2A and CLDN4 were able to separate the good and poor prognostic groups of grade 2 breast carcinomas., Conclusion: Using appropriately selected control genes, a limited set of genes is able to split prognostic groups of breast carcinomas independently from their grade.
- Published
- 2013
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