Meanwhile, survival analysis of each TF showed that lower SETDB2, SNAI3, SCML4, and ZNF540 expression was associated with poor prognosis in lung cancer; higher expression of ETV1 was associated with poor prognosis in lung cancer via Affymetrix microarray data and via RNA-seq data (Figures 7C, D) (https://kmplot.com/analysis). Here, SETDB2 is linked to lung cancer.