Machine learning-based prognostic model of lactylation-related genes for predicting prognosis and immune infiltration in patients with lung adenocarcinoma
We successfully constructed a new prognostic model for lactylation-related genes. Lactate content and glucose uptake are significantly higher in lung adenocarcinoma cells and cancer tissues. In addition, KRT81 was validated at cellular and animal levels as a possible new target for the treatment of LUAD, and this study provides a new perspective for the individualized treatment of LUAD.
Authors
- Mingjun Gao (ORCID: https://orcid.org/0000-0001-8338-7877)
- Xiaolin Wang (ORCID: https://orcid.org/0000-0001-5029-982X)
- Jiaqi Hou (ORCID: https://orcid.org/0000-0002-5803-7303)
- Mengmeng Wang (ORCID: https://orcid.org/0000-0002-8278-734X)
- Wenbo He (ORCID: https://orcid.org/0000-0001-6243-1496)
- Yusheng Shu (ORCID: https://orcid.org/0000-0002-8423-0422)
- Siding Zhou
Institutions
- Dalian Medical University (CN)
- Westlake University (CN)
- Northern Jiangsu People's Hospital (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
- Yangzhou University (CN)
Publication Details
- Journal
- Cancer Cell International
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12935-024-03592-y
- Citations
- 22
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 5.14
Funders
- Jiangsu Commission of Health