Bioinformatics analysis and experimental validation of a novel autophagy-related signature relevant to immune infiltration for recurrence prediction after curative hepatectomy

Huaxiang Wang; Chengkai Yang; Dong Li; Ruling Wang; Yanbing Li; Lizhi Lv

doi:doi:10.18632/aging.204632

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Research Paper Volume 15, Issue 7 pp 2610—2630

Bioinformatics analysis and experimental validation of a novel autophagy-related signature relevant to immune infiltration for recurrence prediction after curative hepatectomy

Figure 7. Functional analysis of GO, KEGG, and GSEA. (A–D) The 29 autophagy-related differentially expressed genes were mainly enriched in the biological process (A), cellular component (B), molecular function (C), and KEGG pathway (D). (E, F) Identification of significant signaling pathway enriched in the high-risk group (E) and low-risk group (F) by GSEA.