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. |