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Updated: May 12, 2026
Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
[Simplified, low-cost gene expression profiling for the prediction of outcome in breast cancer based on routine
A Marcell Szász1, Balázs Ács, Emese Ágoston
1Semmelweis Egyetem, Általános Orvotudományi Kar II. Patológiai Intézet Budapest Üllői út 93. 1091. cac@korb2@sote.hu
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.
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