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Integrated machine learning-driven disulfidptosis profiling: CYFIP1 and EMILIN1 as therapeutic nodes in neuroblastoma

Crossref DOI link: https://doi.org/10.1007/s00432-024-05630-8

Published Online: 2024-03-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mengzhen, Zhang

Xinwei, Hou

Zeheng, Tan

Nan, Li

Yang, Yang

Huirong, Yang

Kaisi, Fan

Xiaoting, Ding

Liucheng, Yang

Kai, Wu
Funding

Funding for this research was provided by:

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)

Guangdong Basic and Applied Basic Research Foundation of China (2019A1515011086)
License Information

Text and Data Mining valid from 2024-03-01

Version of Record valid from 2024-03-01
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Article History

Received: 20 December 2023

Accepted: 20 January 2024

First Online: 1 March 2024

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

: Written informed consent was obtained from patients’ parents for the inclusion of any potentially identifiable images or data in this article.

: The research involving human participants was reviewed and approved by the Ethics Committee of Zhujiang Hospital of Southern Medical University.

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