ArticleThoracic cancer2021
Prognostic impact of chronological age on efficacy of immune checkpoint inhibitors in non-small-cell lung cancer: Real-world data from 86 173 patients.
Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Efficacy of Atezolizumab for Advanced Non-Small Cell Lung Cancer Based on Clinical and Molecular Features: A Meta-Analysis.Frontiers in immunology · 2022Pooled it
- Inhibitors of PD-1 in Non-Small Cell Lung Cancer: A Meta-Analysis of Clinical and Molecular Features.Frontiers in immunology · 2022Pooled it
- Efficacy and Safety of Immunotherapy Combined with Anlotinib as First-Line Treatment in Older NSCLC Patients with PD-L1 Expression<50.Current cancer drug targets · 2025Observational
- Optimization of treatment strategies for elderly patients with advanced non-small cell lung cancer.Frontiers in oncology · 2024Review
- HOMA-beta independently predicts survival in patients with advanced cancer on treatment with immune checkpoint inhibitors.Frontiers in endocrinology · 2024Article
- Real-world comprehensive genomic and immune profiling reveals distinct age- and sex-based genomic and immune landscapes in tumors of patients with non-small cell lung cancer.Frontiers in immunology · 2024Article
- Immunotherapy in Elderly Patients Affected by Non-Small Cell Lung Cancer: A Narrative Review.Journal of clinical medicine · 2023Review
- Comparison of clinical efficacy between chrono-chemotherapy and conventional chemotherapy in patients with non-small cell lung cancer.American journal of cancer research · 2023Article
- [Consensus of Chinese Experts on Medical Treatment of Advanced Lung Cancer in the Elderly (2022 Edition)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2022Article
- Distinctive Role of the Systemic Inflammatory Profile in Non-Small-Cell Lung Cancer Younger and Elderly Patients Treated with a PD-1 Immune Checkpoint Blockade: A Real-World Retrospective Multi-Institutional Analysis.Life (Basel, Switzerland) · 2021Article
- Prognostic impact of chronological age on efficacy of immune checkpoint inhibitors in non-small-cell lung cancer: Real-world data from 86 173 patients.Thoracic cancer · 2021Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune checkpoint inhibitors (ICIs) have become standard pharmacological therapies in patients with non-small-cell lung cancer (NSCLC). Because elderly patients with NSCLC are often excluded from clinical trials as a result of lower functional capacity or comorbidities, the prognostic impact of chronological age on the efficacy of ICIs is unclear. The National Cancer Database was queried for stage IV NSCLC patients between 2014 and 2015. Associations between ICI therapy and clinical characteristics were assessed using chi-squared tests. Kaplan-Meier curves were compared using the log-rank test. A Cox proportional hazards model was used to identify clinical characteristics predictive of overall survival (OS). This study included 24 136 patients with stage IV NSCLC aged ≥75 years and 62 037 patients with stage IV NSCLC aged <75 years. Patients aged ≥75 years treated with ICIs had significantly longer OS than those not treated with ICIs (hazard ratio [HR] 0.61, 95% confidence interval [CI] 0.58-0.64, p < 0.0001). The corresponding HR in patients aged <75 years was 0.67 (95% CI 0.65-0.68, p < 0.0001). Cox modeling confirmed the survival benefit of ICI therapy in patients aged ≥75 years (HR for patients not receiving ICIs 1.63 [95% CI: 1.55-1.71], p < 0.0001). The corresponding HR in patients aged <75 years was 1.47 (95% CI 1.43-1.51, p < 0.0001). Chronological age does not appear to negatively impact the survival benefit of ICI therapy in patients with stage IV NSCLC according to this large real-world database analysis.
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