Identification of lactylation-related biomarkers in HNSC by integrating machine learning and Spatial transcriptomics analysis
MSN, KIF2C and RFC4 may serve as potential biomarkers for diagnosing and predicting the prognosis of HNSC, providing new insights into targeted therapy.
Authors
- Yingfeng Zheng (ORCID: https://orcid.org/0000-0002-0914-7864)
- Puyu Wang (ORCID: https://orcid.org/0000-0001-5198-8803)
- Yulin Zhao (ORCID: https://orcid.org/0009-0003-7792-1166)
Institutions
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1007/s12672-025-03849-6
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China