A glycolysis-related signature to improve the current treatment and prognostic evaluation for breast cancer
This study developed a glycolysis-related signature with five genes to distinguish between high-risk and low-risk BRCA patients. A nomogram developed on the basis of the RiskScore was reliable to predict BRCA survival. Our model provided clinical guidance for the treatment of BRCA patients.
Authors
- Yunkun Lu (ORCID: https://orcid.org/0000-0001-7605-1259)
- Linwei Ning
- Huizhen Zhang (ORCID: https://orcid.org/0000-0002-0255-1856)
- Sijie Feng (ORCID: https://orcid.org/0009-0001-0777-0687)
- Zhenhui Wang (ORCID: https://orcid.org/0000-0003-1274-5088)
Institutions
- Sir Run Run Shaw Hospital (CN)
- Henan Polytechnic University (CN)
- Zhejiang University (CN)
- Henan Medical University (CN)
Publication Details
- Journal
- PeerJ
- Published
- 2024-08-05
- DOI
- https://doi.org/10.7717/peerj.17861
- Citations
- 2
- Primary Topic
- RNA modifications and cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.47