Multidimensional bioinformatics analysis of chondrosarcoma subtypes and TGF-β signaling networks using big data approaches
This comprehensive analysis uncovers the cellular heterogeneity and complex intercellular networks in chondrosarcoma, elucidating critical molecular pathways and identifying novel therapeutic targets. By integrating gene expression, signaling networks, and advanced computational methods, this study contributes to the broader understanding of cancer biology and highlights the potential for precision medicine strategies in treating chondrosarcoma.
Authors
- Jun Liu (ORCID: https://orcid.org/0000-0002-2440-4064)
- Fei He (ORCID: https://orcid.org/0000-0003-1177-6990)
- Junteng Chen
- Hui Xie (ORCID: https://orcid.org/0009-0000-0691-6050)
- Maosheng Wang (ORCID: https://orcid.org/0000-0002-1676-9135)
- Shengke Li
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Sun Yat-sen University (CN)
- Guangdong Provincial Hospital of Traditional Chinese Medicine (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1007/s12672-025-02931-3
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Sun Yat-sen University