Lipidomic signatures as predictive biomarkers for early-onset lung cancer: Identification and development of a risk prediction model
Our study identified lipidomic signatures associated with the risk of EOLC, offering potential translational implications for lung cancer prevention strategies.
Authors
- Lingbin Du (ORCID: https://orcid.org/0000-0002-1992-7784)
- Yongjie Xu (ORCID: https://orcid.org/0000-0002-6045-1626)
- Ni Li (ORCID: https://orcid.org/0000-0001-5530-7745)
- Zilin Luo (ORCID: https://orcid.org/0000-0001-5071-1423)
- Fengwei Tan
- Yadi Zheng (ORCID: https://orcid.org/0000-0002-9849-0997)
- Na Ren (ORCID: https://orcid.org/0000-0003-1720-9735)
- Xuesi Dong (ORCID: https://orcid.org/0000-0003-2986-7866)
- Nan Zhang (ORCID: https://orcid.org/0000-0003-3494-5806)
- Guochao Zhang (ORCID: https://orcid.org/0000-0002-2011-4537)
- Jiaxin Xie (ORCID: https://orcid.org/0000-0002-6352-1589)
- Donghua Wei
- Zeming Guo
- Wei Cao (ORCID: https://orcid.org/0000-0003-2738-0405)
- Wei Tang (ORCID: https://orcid.org/0009-0004-5346-8368)
- Chenran Wang (ORCID: https://orcid.org/0000-0002-4202-126X)
- Xiaoyue Shi (ORCID: https://orcid.org/0000-0001-7472-400X)
- Fei Wang (ORCID: https://orcid.org/0000-0001-9459-9461)
Institutions
- Chinese Academy of Sciences (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- National Cancer Center (US)
- Zhejiang Cancer Hospital (CN)
- Cancer Hospital of Chinese Academy of Medical Sciences (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1016/j.jare.2025.03.045
- Citations
- 5
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.03
Funders
- National Natural Science Foundation of China