Classification of unknown primary tumors with a data-driven method based on a large microarray reference database
Cette étude présente une nouvelle méthode pour analyser les échantillons tumoraux de cancers d'origine primitive inconnue
We present a new method to analyze cancer of unknown primary origin (CUP) samples. Our method achieves good results with classification accuracy (88% leave-one-out cross validation (LOOCV) for primary tumors from 56 categories, 78% for CUP samples), and can also be used to study CUP samples on a gene-by-gene basis. It is not tied to any a priori defined gene set as many previous methods, and is adaptable to emerging new information.
Genome Medicine , article en libre accès, 2010