Lung Cancer in Young Patients is Associated With More Advanced Disease but Better Overall Survival

J Surg Res. 2023 Dec:292:307-316. doi: 10.1016/j.jss.2023.08.007. Epub 2023 Sep 12.

Abstract

Introduction: It is unclear whether nonsmall cell lung cancer (NSCLC) is associated with more aggressive disease and worse overall survival (OS) among younger patients. The aim of this study is to evaluate outcomes in young patients. We hypothesize that young age is associated with more advanced disease upon presentation, but better OS.

Methods: We identified patients with NSCLC from 2004 to 2018 in the National Cancer Database. Patients were categorized in 3 groups: age≤50, 51-84, and ≥85 y. The outcomes were OS, stage IV NSCLC and clinical nodal metastasis. OS was analyzed using multivariate cox and Kaplan-Meier analysis accounting for stage, comorbidities, and other factors. The association of age, presentation with stage IV NSCLC and node positivity was analyzed using multivariate logistic regression.

Results: In total 1,651,744 patients were identified: 92,506 (5.57%) age ≤50, 1,477,723 (88.90%) age 51-84, and 91,964 (5.53%) age ≥85. Multivariate model showed stage IV NSCLC was associated with age ≤50 (OR 1.17 (1.15-1.20) P < 0.001) and ≥85 (odds ratio (OR) 1.03 (1.02-1.04) P < 0.001). Clinical lymph node positivity was associated with age ≤50 (OR 1.27 (1.23-1.30) P < 0.001). Relative to patients 51-84, the ≤50 group was associated with better survival in Stage I (hazard ratio (HR) 0.61 versus 1.00), stage II (HR 1.12 versus 1.50), stage III (HR 2.12 versus 2.53), and stage IV (HR 6.65 versus 7.53).

Conclusions: Patients ≤50-y-old present with more advanced NSCLC, but better OS compared to patients 51-84. These findings suggest the need for increased awareness regarding NSCLC among age groups seen as low risk.

Keywords: Lung cancer; NSCLC; Overall survival; Young patients.

MeSH terms

  • Carcinoma, Non-Small-Cell Lung*
  • Humans
  • Kaplan-Meier Estimate
  • Lung Neoplasms*
  • Middle Aged
  • Neoplasm Staging
  • Prognosis
  • Proportional Hazards Models
  • Retrospective Studies