[Transcription markers of survival in breast neoplasms measuring the signals from the proliferation].
We show that proliferation-related signals are omnipresent in the breast cancer transcriptome. As a result, many transcriptional signatures generated at random are valuable for the prognosis of disease-free survival: despite their biological rationale, 30-60% of published prognostic signatures are not significantly better. We propose a mathematical transformation, the super PCNA decovolution, which removes proliferation-related signals from tumours transcriptional profiles. Both random and published signatures loose nearly all their prognostic value after removal of these signals.
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IRIBHIM, Université Libre de Bruxelles.
D000465:Algorithms; D014408:Biomarkers, Tumor; D001943:Breast Neoplasms / Q000235:genetics* / Q000276:immunology / Q000401:mortality / Q000473:pathology; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D015233:Models, Statistical; D011379:Prognosis
D014408:Biomarkers, Tumor