Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Jahn, SW; Bösl, A; Tsybrovskyy, O; Gruber-Rossipal, C; Helfgott, R; Fitzal, F; Knauer, M; Balic, M; Jasarevic, Z; Offner, F; Moinfar, F.
Clinically high-risk breast cancer displays markedly discordant molecular risk predictions between the MammaPrint and EndoPredict tests.
Br J Cancer. 2020; 122(12):1744-1746
Doi: 10.1038/s41416-020-0838-2
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- Führende Autor*innen der Med Uni Graz
- Jahn Stephan
- Co-Autor*innen der Med Uni Graz
- Balic Marija
- Moinfar Farid
- Tsybrovskyy Oleksiy
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- Abstract:
- Inter-test concordance between the MammaPrint and the EndoPredict tests used to predict the risk of recurrence in breast cancer was evaluated in 94 oestrogen receptor-positive, HER2-negative breast cancers. We correlated histopathological data with clinical risk estimation as defined in the MINDACT trial. 42.6% (40/94) of cases were high-risk by MammaPrint, 44.7% (42/94) by EndoPredict (EPclin), and 45.7% (43/94) by clinical risk definition. Thirty-six percent of genomic risk predictions were discordant with a low inter-test correlation between EndoPredict and MammaPrint (p = 0.012; κ = 0.27, 95% CI [0.069, 0.46]). Clinical risk stratification did not correlate with MammaPrint (p = 0.476) but highly correlated with EndoPredict (p < 0.001). Consequently, clinically high-risk tumours (n = 43) were more frequently high-risk by EndoPredict than by MammaPrint (76.6% vs. 46.5%, p = 0.004), with 44% of cases discordantly classified and no significant association between genomic risk predictions (p = 0.294). Clinicians need to be aware that clinical pre-stratification can profoundly influence multigenomic test performance.
- Find related publications in this database (using NLM MeSH Indexing)
- Breast Neoplasms - genetics, pathology
- Female - administration & dosage
- Gene Expression Profiling - methods
- Genetic Testing - methods
- Humans - administration & dosage
- Neoplasm Recurrence, Local - genetics
- Risk Assessment - methods