Fig. 6.

illustrates the Random Forest algorithm’s identification of essential genes related to angiogenesis and epithelial-mesenchymal transition (EMT). Panels (A-D) showcase the determination of the most significant angiogenesis and EMT genes across various datasets. Panels (E-J) present a comparison of clinical characteristics distributions among the groups. Panel (K) examines the differences in levels of immune cell infiltration between groups expressing high and low levels of CALU. Panel (L) forecasts patient response to anticipated immune checkpoint inhibitors across different groups by employing the TIDE algorithm. Finally, panel (M) conducts a correlation analysis between CALU expression and the IC50 score of Temozolomide