Integrated multiomics analysis and artificial neural network reveal patient stratification and prognosis of adrenocortical carcinoma in the Chinese population
10.3969/j.issn.1009-8291.2025.11.013
- VernacularTitle:综合多组学分析与人工神经网络揭示中国人群肾上腺皮质癌患者的分型与预后
- Author:
Yunfei YU
1
;
Sikui SHEN
1
;
Xin YAN
1
;
Zhihong LIU
1
;
Shengzhuo LIU
1
;
Yuchun ZHU
1
;
Qiang DONG
1
Author Information
1. 四川大学华西医院泌尿外科,四川成都 610044
- Publication Type:Journal Article
- Keywords:
adrenocortical carcinoma;
multiomics;
artificial neural network;
immunotherapy
- From:
Journal of Modern Urology
2025;30(11):988-1005
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the biological characteristics associated with different subtypes and the response to immunotherapy by integrating multiomics analysis and artificial neural networks(ANN)to delineate the precise molecular subtypes of adrenocortical carcinoma(ACC)and establish a prognostic prediction model,in order to provide reference for the accurate prognosis assessment and individualized treatment of ACC.Methods The multiomics data of 44 Chinese ACC patients admitted to the Department of Urology,West China Hospital of Sichuan University during Jan.1,2012 and Dec.31,2022 were integrated,including genomic,transcriptomic and clinical features.Ten different clustering algorithms were employed for consensus clustering to identify robust molecular subtypes.The results were then incorporated into an ANN model to construct an ANN-driven prognostic index(ANPI)for patient stratification and survival prediction.Results Three distinct molecular subtypes(cancer subtypes,CS1-3)with significantly different prognoses were identified,among which CS1 exhibited the poorest survival outcomes.A set of 20 core genes was selected to form the basis of the ANPI model.ANPI effectively stratified patients into high-and low-risk groups:patients in the low-ANPI group had significantly better overall survival and exhibited"hot tumor"immune phenotypes,suggesting greater benefits from immunotherapy.In contrast,high-ANPI patients had worse prognoses and displayed"cold tumor"characteristics with weaker immunotherapy responses.Conclusion Our integrative multiomics analysis illustrated the molecular landscape of ACC in the Chinese population and uncovered the key immune-related features linked to clinical outcomes.The ANPI model demonstrated strong performance in prognostic prediction and immunotherapy response assessment,offering a valuable tool for precision oncology and clinical decision-making.
