| Autor: |
Yankang Cui, Bo Fang, Jing Zhang, Hengtao Bu, Tianyi Shen, Suchun Wang, Xiaoming Yi, Changjie Shi, Hao Tang, Haowei He, Jingping Ge, Feng Xu, Xuejun Shang |
| Rok vydání: |
2023 |
| DOI: |
10.21203/rs.3.rs-2590988/v1 |
| Popis: |
Background: Cuproptosis is a novel form of programmed cell death which induced by copper. The special histology markers for diagnosing seminoma have not gained development in recent years. Results: A total of 165 normal testes and 78 seminoma samples were included in this study. After WGCNA analyses, 185 genes were intersected in seminoma and cluster characteristics module gene sets. The hub-genes of the 4 machine learning methods (FAM149B1, ARL6IP4, and RNASEH2B) displayed the highest area under curve (AUC=1). The expression of the 3 hub-genes were all down-regulated in seminoma. The nomogram based on the 3 hub-genes displayed satisfactory performance on diagnosing seminoma, according to calibration curve and decision curve analysis. Additionally, the results of the ROC analyses, using staining intensity, indicated that the combination of the 3 hub-genes showed the highest specificity and sensitivity (AUC=0.964, 95%Cl=0.895-1.000) for diagnosing seminoma. Conclusion: This is the first study using interactive and comprehensive bioinformatic methods to investigate the special markers for diagnosing seminoma from the perspective of Cuproptosis. The 3 hub-genes (FAM149B1, ARL6IP4, and RNASEH2B) were all down-regulated in seminoma. The three-gene model for the cytological diagnosis of indeterminate seminoma is both feasible and promising. Implementation of this as an adjunct to testis cytology may significantly impact the clinical management of patients with suspicious or indeterminate testicular lesions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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