Leveraging Longitudinal Patient-Reported Outcome Trajectories to Predict Survival in Non–Small Cell Lung Cancer
This study demonstrates that longitudinal PRO data can provide prognostic insights into survival in NSCLC. The findings support the use of PRO dynamics to improve clinical decision-making and optimize patient-centered treatment strategies.
Authors
- Jim H. Hughes (ORCID: https://orcid.org/0000-0002-1862-5805)
- Benyam Muluneh (ORCID: https://orcid.org/0000-0002-2387-6676)
- Huaxiu Yao (ORCID: https://orcid.org/0000-0002-8691-9629)
- Jiawei Zhou (ORCID: https://orcid.org/0009-0000-3317-0311)
- Zhaoyang Wang (ORCID: https://orcid.org/0000-0003-4450-7076)
Institutions
- University of North Carolina at Chapel Hill (US)
- Connecticut Sea Grant (US)
Publication Details
- Journal
- Clinical Cancer Research
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1158/1078-0432.ccr-25-0292
- Citations
- 6
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 9.11
Funders
- University of North Carolina at Chapel Hill