Integrated multi-omics reveal lactate metabolism-related gene signatures and PYGL in predicting HNSCC prognosis and immunotherapy efficacy
The study established a robust LMRGs-based prognostic model that not only predicts patient survival but also correlates with the immune microenvironment in HNSCC. PYGL emerged as a key biomarker with significant implications for both prognosis and therapeutic intervention. Its role in regulating lactate metabolism and immune suppression suggests that targeting PYGL could enhance the efficacy of immunotherapies. This research provides a foundation for future clinical strategies aimed at improving outcomes in HNSCC by modulating the tumor's metabolic and immune landscapes.
Authors
- Sufang Qiu (ORCID: https://orcid.org/0000-0001-7660-6955)
- Dan Hu (ORCID: https://orcid.org/0000-0002-0994-8434)
- Zhengjin Jiang (ORCID: https://orcid.org/0000-0002-5612-4331)
- Xin Chen (ORCID: https://orcid.org/0000-0003-3561-2691)
- Wei Xu (ORCID: https://orcid.org/0000-0003-3808-0045)
- Ying Li (ORCID: https://orcid.org/0000-0002-7595-2474)
- Yuhui Pan
- Junping Pan
- Xiaochuan Chen (ORCID: https://orcid.org/0000-0002-1555-0369)
- Youliang Weng
Institutions
- Fujian University of Traditional Chinese Medicine (CN)
- Fujian Medical University (CN)
- Fujian Provincial Cancer Hospital (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1186/s12885-025-13982-8
- Citations
- 1
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- National Natural Science Foundation of China