Integrated multiomics machine learning and mediated Mendelian randomization investigate the molecular subtypes and prognosis lung squamous cell carcinoma
The integration of CMLS with multi-omics offers a robust framework for predicting prognosis, elucidating the causal interactions between the immune microenvironment and metabolic reprogramming in LUSC, and identifying patient subgroups likely to benefit from immunotherapy.
Authors
- Zhanghao Huang (ORCID: https://orcid.org/0000-0002-3223-8625)
- Jiahai Shi (ORCID: https://orcid.org/0009-0000-1043-0352)
- You Zhou (ORCID: https://orcid.org/0000-0002-7081-921X)
- Jing Li (ORCID: https://orcid.org/0000-0002-3977-1641)
Institutions
- Nantong University (CN)
- Affiliated Hospital of Nantong University (CN)
Publication Details
- Journal
- Translational Lung Cancer Research
- Published
- 2025-03-01
- DOI
- https://doi.org/10.21037/tlcr-24-891
- Citations
- 1
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.81