A novel clinical prognostic score incorporating the number of resected lymph-nodes to predict recurrence and survival in non-small-cell lung cancer

Lung Cancer. 2009 Dec;66(3):365-71. doi: 10.1016/j.lungcan.2009.02.024. Epub 2009 Mar 27.


Background: The number of resected lymph-nodes (#RNs) has proven prognostic in breast and colorectal cancer. Here we evaluated its prognostic impact in a series of resected NSCLC patients.

Methods: A panel of established prognostic factors plus (1) #RNs or (2) the ratio between the number of metastatic nodes and #RNs (NR) were correlated to overall- (OS), cancer-specific- (CSS), and disease-free-survival (DFS), using the Cox-model. Risk-classes according to hazard ratios (HR) were generated. Internal and external validation was accomplished.

Results: A dataset of 415 resected NSCLC patients was retrieved. At multivariate analysis, #RNs and NR were independent factor for longer OS, CSS and DFS (p<0.0001). Patients with a #RNs>10 (identified optimal cut-off) had a statistically significant OS (p=0.02) and DFS (p=0.0005) benefit. In node-positive patients, a NR<9% significantly correlated with better outcome. Stratification into High-, Medium-, and Low-Risk classes, based on High- (HRFs: stage, N-status, age, #RNs) and Intermediate-Risk Factors (IRFs: sex, grading, histology), efficiently predicted outcomes (p<0.0001). The risk class model performance was externally validated in and independent dataset of 297 patients.

Conclusions: These results contribute to complete the panel of prognostic factors for resected NSCLC. A prospective larger validation and comparison with molecular prognostic tools is warranted.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Carcinoma, Non-Small-Cell Lung / diagnosis*
  • Carcinoma, Non-Small-Cell Lung / epidemiology
  • Carcinoma, Non-Small-Cell Lung / surgery
  • Female
  • Humans
  • Lung Neoplasms / diagnosis*
  • Lung Neoplasms / epidemiology
  • Lymph Nodes / pathology*
  • Lymph Nodes / surgery
  • Male
  • Middle Aged
  • Neoplasm Recurrence, Local
  • Neoplasm Staging
  • Prognosis
  • Proportional Hazards Models
  • Survival Analysis