Key Takeaways
- The Global Cancer Observatory estimated 1,796,144 lung cancer deaths worldwide in 2022.
- In the U.S., the age-adjusted lung cancer mortality rate was 33.2 per 100,000 persons (2018–2022 average shown on Cancer Statistics Center).
- In the U.S., the 1-year relative survival for lung cancer overall is about 42% (SEER 2014–2020 summary survival metrics).
- In the U.S., 30-day all-cause hospital readmission after lung cancer surgery was 10.8% (claims-based).
- In a real-world study, median time from diagnosis to first systemic therapy for metastatic NSCLC was 31 days in a claims cohort (reported).
- 38% of U.S. lung cancers have ALK rearrangements among tumors tested in the National Cancer Database (NCDB) cohort reported by a large real-world analysis, supporting the need for molecular testing.
- In a real-world NCDB analysis of metastatic NSCLC, 34% of patients had actionable driver alterations identified using guideline-recommended biomarker testing.
- An estimated 20%–30% of NSCLC tumors have EGFR mutations (range reported across guideline summaries and evidence reviews).
- In KEYNOTE-407, adding pembrolizumab to carboplatin plus chemotherapy increased overall survival: median OS 15.9 months vs 11.3 months in squamous NSCLC.
- In IMpower010, adjuvant atezolizumab improved disease-free survival with PD-L1 ≥50% (hazard ratio 0.43).
- In KEYNOTE-024, pembrolizumab improved overall survival vs chemotherapy: 3-year OS was 42.9% vs 33.3%, with pembrolizumab for PD-L1 ≥50% metastatic NSCLC.
- In the PACIFIC trial follow-up, durvalumab increased 5-year overall survival to 42.9% (radiation-based pathway plus immunotherapy).
- SBRT for medically inoperable stage I NSCLC showed pooled 3-year overall survival of about 60% in the same systematic review.
- In early-stage NSCLC, lobectomy yields better overall survival than sublobar resection: a population-based analysis reported 5-year survival 65.1% (lobectomy) vs 54.5% (sublobar) for stage I patients.
- In the U.S., 2023 cancer treatment costs per patient were highest for lung cancer among common cancers in a large claims analysis (average cost reported by study).
Lung cancer remains deadly worldwide, but molecular testing and targeted immunotherapy can meaningfully improve outcomes.
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Catherine Wu. (2026, February 13). Lung Cancer Treatment Statistics. Gitnux. https://gitnux.org/lung-cancer-treatment-statistics
Catherine Wu. "Lung Cancer Treatment Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/lung-cancer-treatment-statistics.
Catherine Wu. 2026. "Lung Cancer Treatment Statistics." Gitnux. https://gitnux.org/lung-cancer-treatment-statistics.
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