Prognostic Value of Glasgow Prognostic Score in Non-small Cell Lung Cancer: A Systematic Review and Meta-Analysis

Pathol Oncol Res. 2022 Feb 15:28:1610109. doi: 10.3389/pore.2022.1610109. eCollection 2022.

Abstract

Background: Systemic inflammation is a key factor in tumor growth. The Glasgow Prognostic Score (GPS) has a certain value in predicting the prognosis of lung cancer. However, these results still do not have a unified direction. Methods: A systematic review and meta-analysis were performed to investigate the relationship between GPS and the prognosis of patients with non-small cell lung cancer (NSCLC). We set patients as follows: GPS = 0 vs. GPS = 1 or 2, GPS = 0 vs. GPS = 1, GPS = 0 vs. GPS = 2. We collected the hazard ratio (HR) and the 95% confidence interval (CI). Results: A total of 21 studies were included, involving 7333 patients. We observed a significant correlation with GPS and poor OS in NSCLC patients (HRGPS=0 vs. GPS=1 or 2 = 1.62, 95% CI: 1.27-2.07, p ≤ .001; HRGPS=0 vs GPS=1 = 2.14, 95% CI:1.31-3.49, p ≤ .001; HRGPS=0 vs. GPS=2 = 2.64, 95% CI: 1.45-4.82, p ≤ .001). Moreover, we made a subgroup analysis of surgery and stage. The results showed that when divided into GPS = 0 group and GPS = 1 or 2 group, the effect of high GPS on OS was more obvious in surgery (HR = 1.79, 95% CI: 1.08-2.97, p = .024). When GPS was divided into two groups (GPS = 0 and GPS = 1 or 2), the III-IV stage, higher GPS is associated with poor OS (HR = 1.73, 95% CI: 1.43-2.09, p ≤ .001). In the comparison of GPS = 0 and GPS = 1 group (HR = 1.56, 95% CI: 1.05-2.31, p = .026) and the grouping of GPS = 0 and GPS = 2(HR = 2.23, 95% CI: 1.17-4.26, p = .015), we came to the same conclusion. Conclusion: For patients with NSCLC, higher GPS is associated with poor prognosis, and GPS may be a reliable prognostic indicator. The decrease of GPS after pretreatment may be an effective way to improve the prognosis of NSCLC.

Keywords: GPS; meta-analysis; non-small cell lung cancer; prognostic; systematic review.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Carcinoma, Non-Small-Cell Lung* / pathology
  • Humans
  • Lung Neoplasms* / pathology
  • Prognosis
  • Proportional Hazards Models