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Large-scale bulk and single-cell RNA sequencing combined with machine learning reveals glioblastoma-associated neutrophil heterogeneity and establishes a VEGFA+ neutrophil prognostic model

Crossref DOI link: https://doi.org/10.1186/s13062-025-00640-z

Published Online: 2025-04-05

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

Authors

Yang, Yufan

Liu, Ziyuan

Wang, Zhongliang

Fu, Xiang

Li, Zhiyong

Li, Jianlong

Xu, Zhongyuan

Cen, Bohong
Funding

Funding for this research was provided by:

Guangdong Medical Research Foundation (No.A2023121, No.A2023319)

Basic and Applied Basic Research Foundation of Guangdong Province (No.2024A1515030050, No.2022A1515220136, No.2020A1515110183)

Presidential Foundation of Nanfang Hospital, Southern Medical University (No.2023A031)

National Natural Science Foundation of China (No.82003210)

Clinical Research Project of Nanfang Hospital of Southern Medical University (No.2019CR015)
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Article History

Received: 26 December 2024

Accepted: 22 March 2025

First Online: 5 April 2025

Declarations

:

: All the authors give the consent for the publication of identifiable details, which can include the text, figures and other materials in this manuscript.

: The authors declare no competing interests.

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