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Bioinformatics to identify new diagnostic or prognostic biomarker genes

Published on 14 April 2023
This research axis aims at identifying new diagnostic or prognostic biomarkers based on omics data in the context of precision medicine in oncology


Figure 1: Survival of clear cell renal cell carcinoma patients in function of COL7A1 expression levels.Figure 2: Visualization of the impact of microRNAs on cancer stem cell proportions with "network" approaches. Each node (round) corresponds to a microRNA, nodes are linked if the microRNAs share a large number of targets. The color code represents the effect of the microRNA on the proportion of cancer stem cells.
Red: Over-expression of the identified microRNA leads to an increase in the proportion of cancer stem cells.
Green: Over-expression of the identified microRNA results in a decrease in the proportion of cancer stem cells.