**Figure 6.** **Extensive examination to investigate the correlation between CoCuLncSig and the tumor microenvironment status, immune cell infiltration, and immune function.** (**A**) Boxplots compared the distribution of immune, stromal, and ESTIMATE scores between high and low-risk groups. The correlation of risk score with immune, stromal, and ESTIMATE scores was depicted using scatterplots. (**B**) Lollipop plots visualize the correlation of immune cell infiltration with CoCuLncSig scores. Here, the R language package “IOBR” generates the immune cell infiltration based on the training cohort data. (**C**) The heatmap demonstrates the immune cell infiltration distributions in high and low CoCuLncSig score population. (**D**) A Venn diagram (upper plot) depicts the intersection between the outcomes of the correlation analysis and the distributional differences. Word clouds (lower plot) were utilized to emphasize crucial immune cell-infiltrating cell types that emerged from this intersection. (**E**) The violin plots display variations in the immune function distribution between the high-risk and low-risk LUADs. CoCuLncSig: copper homeostasis and cuproptosis regulated lncRNA signature; LUAD: lung adenocarcinoma; A *P*-value below 0.05 was deemed as statistically significant. “ns” indicates non-significance, “^{*}” represents a *P*-value below 0.05, “^{**}” signifies a *P*-value below 0.01, “^{***}” denotes a *P*-value below 0.001, and “^{****}” indicates a *P*-value below 0.0001.