Fig. 3: Identification of prognostic treg metabolism-associated genes via WGCNA. | npj Precision Oncology

Fig. 3: Identification of prognostic treg metabolism-associated genes via WGCNA.

From: G0S2: a potential target for NSCLC identified through prognostic models from multi-Omic analysis of regulatory T cell metabolic genes

Fig. 3

The significant difference in Treg infiltration scores between the paracancer samples and NSCLC samples are shown by the box - plot (A), and based on this, Kaplan -Meier survival curve demonstrated a difference in prognosis between groups with high and low Treg infiltration scores (B). The module genes were statistically analysed and divided into 22 modules, and it was found that the modules brown, magenta and grey60 had the closest relationships with Treg infiltration scores (C). Volcano map of differentially expressed genes in NSCLC and paracancer samples (D), and between groups with high and low Treg infiltration scores (E). Identifying 26 key Treg cell metabolic genes by intersecting different genes (F).

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