Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning

• Main Authors: Yi Zhao (Author), Yanjun Wei (Author), Lingjia Fan (Author), Yuanliu Nie (Author), Jianan Li (Author), Renya Zeng (Author), Jixian Li (Author), Xiang Zhan (Author), Lingli Lei (Author), Zhichao Kang (Author), Jiaxin Li (Author), Wentao Zhang (Author), Zhe Yang (Author)
• Format: Book
• Published: BMC, 2023-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Disulfidptosis is a recently discovered programmed cell death pathway. However, the exact molecular mechanism of disulfidptosis in cutaneous melanoma remains unclear. Methods In this study, clustering analysis was performed using data from public databases to construct a prognost...