Quantitative proteomics analysis of the regulation of KPNA2 and its potential novel cargo proteins in NSCLC has revealed that the infiltration of macrophages is negatively correlated with patient prognosis in lung adenocarcinoma, and on the basis of cell cluster markers and genes associated with tumor-associated macrophages, it has been found that the expression patterns of C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, and TK1 genes, as well as a risk scoring model, can all contribute to predicting the prognosis of the disease [29]. The gene discussed is FSCN1; the disease is lung adenocarcinoma.