Composite patient-reported outcomes and risk prediction for overall survival in advanced non-small cell lung cancer with first-line cemiplimab
David Gandara, Miranda Gogishvili, Ahmet Sezer, Tamta Makharadze, Mahmut Gümüş, Eric Yan, James Harnett, Ruben G. W. Quek

TL;DR
This study shows that combining patient-reported outcomes improves survival risk prediction in advanced lung cancer patients treated with cemiplimab.
Contribution
Composite PROs of functioning and symptom scales outperform single PROs in predicting survival in NSCLC patients.
Findings
Composite PROs with functioning and symptom scales had higher hazard ratios (HRs ≥2) for predicting death risk.
Patients with low functioning and high symptom burden had worse overall survival than those with high functioning and low symptoms.
Kaplan-Meier curves showed clear survival separation between high- and low-risk groups based on composite PROs.
Abstract
Patient-reported outcomes (PROs) are associated with overall survival (OS) in advanced cancer. Risk modeling of OS based on a single PRO scale was previously evaluated in patients with advanced non-small cell lung cancer (NSCLC) in two pivotal cemiplimab ± chemotherapy phase III trials. Here we report evaluation of predictive performance for a composite of two PRO scales. Data from two previously published phase III clinical trials (EMPOWER-Lung 1 and EMPOWER-Lung 3) were used to develop a Cox proportional hazards model evaluating the association between baseline PRO burden and OS, stratified by treatment, histology, and programmed cell death-ligand 1 (PD-L1) level. PRO data were collected using the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 30 (QLQ-C30) and Lung Cancer 13 (QLQ-LC13) modules. Single-scale PROs and composite…
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Taxonomy
TopicsLung Cancer Treatments and Mutations · Cancer Immunotherapy and Biomarkers · Lung Cancer Diagnosis and Treatment
