1. Identification of an immune‐related gene signature as a prognostic target and the immune microenvironment for adrenocortical carcinoma
- Author
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Chengdang Xu, Caipeng Qin, Jingang Jian, Yun Peng, Xinan Wang, Xi Chen, Denglong Wu, and Yuxuan Song
- Subjects
adrenocortical carcinoma ,immunology ,prognosis ,signatures ,tumor microenvironment ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Abstract Background Adrenocortical carcinoma (ACC) is a rare endocrine malignancy. Even with complete tumor resection and adjuvant therapies, the prognosis of patients with ACC remains unsatisfactory. In the microtumor environment, the impact of a disordered immune system and abnormal immune responses is enormous. To improve treatment, novel prognostic predictors and treatment targets for ACC need to be identified. Hence, credible prognostic biomarkers of immune‐associated genes (IRGs) should be explored and developed. Material and methods We downloaded RNA‐sequencing data and clinical data from The Cancer Genome Atlas (TCGA) data set, Genotype‐Tissue Expression data set, and Gene Expression Omnibus data set. Gene set enrichment analysis (GSEA) was applied to reveal the potential functions of differentially expressed genes. Results GSEA indicated an association between ACC and immune‐related functions. We obtained 332 IRGs and constructed a prognostic signature on the strength of 3 IRGs (INHBA, HELLS, and HDAC4) in the training cohort. The high‐risk group had significantly poorer overall survival than the low‐risk group (p
- Published
- 2022
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