Fig. 1

The workflow for constructing the pattern of polyamine metabolism genes of CRC survival prediction, immunotherapy, and immune landscape characteristics involved four steps. Firstly, we used PAM genes to identify relevant expression signatures in public databases and construct a consistent clustering model. Next, we conducted the corresponding difference analysis between the models. Based on this, we constructed a PAM scoring model for CRC survival prognosis. We performed a series of analyses of survival prognosis, tumor microenvironment, and immunotherapy between high and low subgroups of PAMscore and identified their signature genes. Finally, we delineated the immune landscape of genes involved in PAM based on single-cell data