Systematic profiling of diagnostic and prognostic value of autophagy-related genes for sarcoma patients

Abstract Background Autophagy-related genes (ARGs) have been confirmed to an important role in tumorigenesis and tumor microenvironment formation. Nevertheless, a systematic analysis of ARGs their clinical significance sarcoma patients is lacking. Methods Gene expression files from The Cancer Genome Atlas (TCGA) database Genotype-Tissue Expression (GTEx) were used select differentially expressed (DEGs). Differentially (DEARGs) determined by matching the DEG HADb gene sets, which evaluated functional enrichment analysis. Unsupervised clustering identified DEARGs was conducted, associations with (TME), immune checkpoints, cells analyzed simultaneously. Two prognostic signatures, one for overall survival (OS) disease-free (DFS), established validated independent set. Results In total, 84 two clusters identified. TME scores, five several types found be significantly different between clusters. signatures incorporating showed favorable discrimination successfully validated. nomograms combining signature variables generated. C-indexes 0.818 0.747 OS DFS nomograms, respectively. Conclusion This comprehensive analyses ARG landscape novel related carcinogenesis microenvironment. These findings implications prognosis therapeutic responses, reveal potential biomarkers, promote precision medicine, provide targets immunotherapy.