Clinical prognostic model for older patients with advanced non-small cell lung cancer.

Journal Article (Journal Article)

BACKGROUND: Older patients with non-small cell lung cancer (NSCLC) are often not prescribed standard therapy. It is important to know which older patients would be candidates for aggressive therapy based on their prognosis, and to develop a model that can help determine prognosis. METHODS: Data on older patients (≥70 years) enrolled on 38 NCI cooperative group trials of advanced NSCLC from 1991 to 2011 were analyzed. Multivariable Cox PH model was built with a stepwise selection. We derived a prognostic score using the estimated Cox PH regression coefficient. We then calculated the area under receiver operating characteristic (ROC) curve of survival in the testing set. RESULTS: The final analysis included 1467 patients, who were randomly divided into a training (n = 963) and a testing set (n = 504). The prognostic risk score was calculated as: 3 (if male) + 3 (if PS = 1) + 8 (if PS = 2) + 11 (if initial stage = IV) + 4 (if weight loss). Patients were classified into two prognostic groups: good (0-8) and poor (≥9). The median survival in the two groups in the testing set were 13.15 (95% CI, 10.82-15.91) and 8.52 months (95% CI, 7.5-9.63), respectively. The model had area under the 1-year and 2-year ROCs (0.6 and 0.65, respectively) that were higher than existing models. CONCLUSIONS: Male gender, poor performance status, distant metastases and recent weight loss predict for poor overall survival (OS) in older patients with advanced NSCLC. This study proposes a simple prognostic model for older adults with advanced NSCLC.

Full Text

Duke Authors

Cited Authors

  • Ganti, AK; Wang, X; Stinchcombe, TE; Wang, Y; Bradley, J; Cohen, HJ; Kelly, K; Paulus, R; Ramalingam, SS; Vokes, EE; Pang, H

Published Date

  • July 2019

Published In

Volume / Issue

  • 10 / 4

Start / End Page

  • 555 - 559

PubMed ID

  • 30797707

Pubmed Central ID

  • PMC7136030

Electronic International Standard Serial Number (EISSN)

  • 1879-4076

Digital Object Identifier (DOI)

  • 10.1016/j.jgo.2019.02.007


  • eng

Conference Location

  • Netherlands