1. Construction of a robust prognostic model for adult adrenocortical carcinoma: Results from bioinformatics and real‐world data
- Author
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Aihetaimujiang Anwaier, Yuan-Yuan Qu, Hailiang Zhang, Guohai Shi, Wen-Jie Luo, Xi Tian, Wenhao Xu, Dingwei Ye, Hongkai Wang, Dalong Cao, and Fangning Wan
- Subjects
Male ,0301 basic medicine ,Bioinformatics ,predictive model ,03 medical and health sciences ,proteomics ,0302 clinical medicine ,Gene expression ,Adrenocortical Carcinoma ,Biomarkers, Tumor ,Tumor Microenvironment ,Humans ,Medicine ,Adrenocortical carcinoma ,Aged ,Retrospective Studies ,Models, Statistical ,business.industry ,Gene Expression Profiling ,Computational Biology ,Cancer ,Original Articles ,Cell Biology ,Prognosis ,real‐world data ,medicine.disease ,Adrenal Cortex Neoplasms ,Gene Expression Regulation, Neoplastic ,Survival Rate ,030104 developmental biology ,030220 oncology & carcinogenesis ,Cohort ,Prognostic model ,biomarker ,Molecular Medicine ,Immunohistochemistry ,Biomarker (medicine) ,Female ,Original Article ,adult adrenocortical carcinoma ,business ,Real world data ,Follow-Up Studies - Abstract
This study aims to construct a robust prognostic model for adult adrenocortical carcinoma (ACC) by large‐scale multiomics analysis and real‐world data. The RPPA data, gene expression profiles and clinical information of adult ACC patients were obtained from The Cancer Proteome Atlas (TCPA), Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Integrated prognosis‐related proteins (IPRPs) model was constructed. Immunohistochemistry was used to validate the prognostic value of the IPRPs model in Fudan University Shanghai Cancer Center (FUSCC) cohort. 76 ACC cases from TCGA and 22 ACC cases from GSE10927 in NCBI’s GEO database with full data for clinical information and gene expression were utilized to validate the effectiveness of the IPRPs model. Higher FASN (P = .039), FIBRONECTIN (P
- Published
- 2021
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