Bulk and single-cell transcriptome revealed the metabolic heterogeneity in human glioma
Our work revealed the metabolic heterogeneity in glioma by developing a new classification system with significant prognostic and therapeutic value. Single-cell transcriptional profiles offer novel insights into tumor metabolic reprogramming, which could enhance therapies tailored to cell- or patient-specific metabolic patterns.
Authors
- Yong Xiao (ORCID: https://orcid.org/0000-0003-2310-602X)
- Hong Xiao (ORCID: https://orcid.org/0000-0003-4248-3146)
- Taiping Li (ORCID: https://orcid.org/0000-0001-8217-989X)
- Chong Xiang (ORCID: https://orcid.org/0009-0005-9212-5218)
- Kun Yang (ORCID: https://orcid.org/0000-0002-0273-2198)
- Yuanjie Zou (ORCID: https://orcid.org/0000-0002-5397-4808)
- Mengjie Zhao (ORCID: https://orcid.org/0000-0002-1489-5226)
- Xianglong Tang (ORCID: https://orcid.org/0000-0002-1119-2138)
- Ran Wang (ORCID: https://orcid.org/0000-0002-2361-860X)
- Hongyi Liu (ORCID: https://orcid.org/0000-0002-3914-252X)
- Liang Liu (ORCID: https://orcid.org/0000-0002-7826-3877)
- Chunfa Qian
Institutions
- Soochow University (CN)
- Nanjing Brain Hospital (CN)
- Changzhou No.2 People's Hospital (CN)
- Fourth People's Hospital of Changzhou (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-12-21
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e41241
- Citations
- 4
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.75