Quality-of-life scale machine learning approach to predict immunotherapy response in patients with advanced non-small cell lung cancer
Our study demonstrated the potential of integrative machine learning in effectively analyzing baseline QoL and predicting clinical outcomes in aNSCLC patients undergoing atezolizumab immunotherapy.
Authors
- Udo S. Gaipl (ORCID: https://orcid.org/0000-0001-6375-5476)
- Benjamin Frey (ORCID: https://orcid.org/0000-0001-6743-3351)
- Xiaojing Tian (ORCID: https://orcid.org/0000-0002-8959-6984)
- Markus Hecht (ORCID: https://orcid.org/0000-0003-2082-216X)
- Jian‐Guo Zhou (ORCID: https://orcid.org/0000-0002-5021-3739)
- Fangya Tan (ORCID: https://orcid.org/0009-0007-9678-1487)
- Juanyan Shen (ORCID: https://orcid.org/0009-0009-2362-0361)
- Xiaofei Chen (ORCID: https://orcid.org/0000-0002-6252-5879)
- Hu Ma (ORCID: https://orcid.org/0000-0003-1654-1576)
- Qiuhong Li (ORCID: https://orcid.org/0000-0002-2950-0928)
- Su‐Han Jin (ORCID: https://orcid.org/0000-0001-6203-6285)
- Junzhu Xu (ORCID: https://orcid.org/0000-0002-2334-4274)
- Junliang Ma (ORCID: https://orcid.org/0000-0002-7299-4038)
- Chi Zhang (ORCID: https://orcid.org/0009-0003-0579-1489)
- Shaolin Chen
Institutions
- Harrisburg University of Science and Technology (US)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Zunyi Medical University (CN)
- Universitätsklinikum Erlangen (DE)
- Sanofi (United States) (US)
- AstraZeneca (Netherlands) (NL)
- First People’s Hospital of Zunyi (CN)
- AstraZeneca (Japan) (JP)
- Comprehensive Cancer Center Erlangen (DE)
- Affiliated Hospital of Zunyi Medical College (CN)
- Saarland University (DE)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-07-18
- DOI
- https://doi.org/10.3389/fimmu.2025.1600265
- Citations
- 1
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- Department of Education of Guizhou Province
- National Science and Technology Major Project