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Introduction: The incidence of pneumonitis, a treatment-related adverse event (AE) in non-small cell lung cancer (NSCLC) patients, has been studied in the United States mostly through clinical trials and retrospective chart reviews. Few analyses of real-world data have been published. This study of a large nationally representative health records database estimated the incidence and predictors of pneumonitis among treated NSCLC patients between 2008 and 2018.
Methods: The Optum electronic health records (EHR) database includes data on over 80 million patients from more than 50 healthcare plans. The cohort of primary NSCLC patients was identified using ICD-9/10 codes. Natural language processing of unstructured data from physicians' notes facilitated extraction of biomarker (epidermal growth factor receptor [EGFR] and programmed death ligand-1 [PD-L1]) status. Cumulative incidence was estimated as the proportion with pneumonitis overall, by clinical characteristics, and line of therapy (LOT) after diagnosis and treatment. Univariate analysis of incidence rates (cases/1000 person-years) enabled the identification of significant predictors of risk. Competing risk regression identified predictors of pneumonitis.
Results: The cohort included 81,628 patients. Overall, 19.0% developed pneumonitis during any LOT, with a cumulative incidence of 33.7% and 17.0% for patients with a prior history of pneumonitis and those without, respectively. Univariate analyses revealed several factors associated with pneumonitis (p < 0.05). While factors varied between LOTs, common factors included male gender, squamous histology, history of diabetes or pneumonitis, EGFR-negative status, monotherapy immunomodulatory drugs, or history of radiation therapy. Multivariable competing risk regression showed that male gender, history of pneumonitis, EGFR-negative status, use of other targeted therapies, use of immunomodulatory drugs, and history of radiation therapy predicted pneumonitis.
Conclusion: Pneumonitis is significantly associated with NSCLC treatment. Knowledge of its predictors identified in this study may help devise strategies to mitigate its impact, enhancing treatment adherence and improving outcomes.
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http://dx.doi.org/10.1007/s40487-021-00150-8 | DOI Listing |
J Neurooncol
September 2025
Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Purpose: Frailty measures are critical for predicting outcomes in metastatic spine disease (MSD) patients. This study aimed to evaluate frailty measures throughout the disease process.
Methods: This retrospective analysis measured frailty in MSD patients at multiple time points using a modified Metastatic Spinal Tumor Frailty Index (MSTFI).
J Cancer Res Clin Oncol
September 2025
Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.
Purpose: The German sector-based healthcare system poses a major challenge to continuous patient monitoring and long-term follow-up, both essential for generating high-quality, longitudinal real-world data. The national Network for Genomic Medicine (nNGM) bridges the inpatient and outpatient care sectors to provide comprehensive molecular diagnostics and personalized treatment for non-small cell lung cancer (NSCLC) patients in Germany. Building on the established nNGM infrastructure, the DigiNet study aims to evaluate the impact of digitally integrated, personalized care on overall survival (OS) and the optimization of treatment pathways, compared to routine care.
View Article and Find Full Text PDFJ Thorac Oncol
September 2025
Institut du Thorax Curie-Montsouris, Paris, France; Paris-Saclay University, UVSQ-Versailles, France.
Introduction: Amivantamab plus lazertinib significantly improved progression-free and overall survival versus osimertinib in patients with previously untreated, EGFR-mutant advanced NSCLC. EGFR-targeted therapies are associated with dermatologic adverse events (AEs), which can affect quality of life (QoL). COCOON was conducted to assess prophylactic management and improve treatment experience.
View Article and Find Full Text PDFCancer
September 2025
Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, New York, USA.
Background: Trials of neoadjuvant chemoimmunotherapy (chemoIO) have changed the standard of care for resectable nonsmall cell lung cancer (NSCLC). This study characterizes the outcomes of off-trial patients who received treatment with neoadjuvant chemoIO.
Methods: The authors analyzed records of patients with stage IB-III NSCLC who received neoadjuvant chemoIO with an intent to proceed to surgical resection at three US academic institutions.
Purpose: WU-KONG1B (ClinicalTrials.gov identifier: NCT03974022) is a multinational phase II, dose-randomized study to assess the antitumor efficacy of sunvozertinib in pretreated patients with advanced non-small cell lung cancer (NSCLC) with epidermal growth factor receptor () exon 20 insertion mutations (exon20ins).
Methods: Eligible patients with advanced-stage exon20ins NSCLC were randomly assigned by 1:1 ratio to receive sunvozertinib 200 mg or 300 mg once daily (200 and 300 mg-rand cohorts).