The CXCL9/SPP1 polarity axis in tumor-associated macrophages: immunoregulatory and prognostic significance in non-small cell lung cancer

polarity axis into the field of non-small cell lung cancer (NSCLC). By integrating single-cell trajectory analysis, we reveal the dynamic differentiation patterns of TAM polarity in NSCLC. Furthermore, utilizing a combination of 101 machine learning algorithms, we constructed the first six-gene prognostic model based on this polarity axis, achieving precise risk stratification for NSCLC patients and enabling correlative analysis of the immune status within the tumor microenvironment.