Construction and validation of a disulfidptosis-related risk assessment model for prediction of prognosis, immune microenvironment, drug therapy, and microbiota in patients with low-grade glioma
Thus, this model can stratify LGG patients with distinct gene expression features, immune landscape, genomic instability, and microbiota features. By stratifying patients with risk score, this risk model may improve the accuracy of prognostic prediction for LGG patients, which might provide new insights into the molecular targeted therapy for individual treatment in a risk score-specific manner.
Authors
- Hai‐Qiang Wang (ORCID: https://orcid.org/0000-0002-7752-6217)
- Mengwen Hou
- Guosen Zhang (ORCID: https://orcid.org/0000-0001-6214-6986)
- Jihui Jia (ORCID: https://orcid.org/0000-0002-5529-8735)
- Jiayang Han
- Ruohan Yun (ORCID: https://orcid.org/0000-0002-0232-0257)
- Yuanyuan Dai
- Pengkun Li (ORCID: https://orcid.org/0000-0001-6895-2161)
- Yang An (ORCID: https://orcid.org/0000-0002-9335-6975)
- Xu Han (ORCID: https://orcid.org/0000-0002-8967-4372)
- Dayong Wang (ORCID: https://orcid.org/0000-0002-2526-1317)
- Binbin Zhao (ORCID: https://orcid.org/0000-0001-7626-8087)
- Man Yue (ORCID: https://orcid.org/0009-0008-6748-6259)
- Tiantian Sun
Institutions
- Shandong University (CN)
- Henan University (CN)
- First Affiliated Hospital of Henan University (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1097/js9.0000000000003921
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00