Preoperative inflammation-based scores predict early recurrence after lung cancer resection

Background: Inflammation in the tumor microenvironment is hypothesized to have a major role in cancer invasiveness, progression, and metastases. The purpose of this study was to evaluate the prognostic value of preoperative inflammation-based scores in terms of estimating the timing of recurrence by hazard curves in a cohort of operable, early-stage non-small cell lung cancer (NSCLC) patients. Methods: A total of 387 patients with NSCLC who underwent complete pulmonary resection from 2010 to 2019 had their C-reactive protein-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), Glasgow prognostic score (GPS), modified GPS, systemic immune-inflammation index (SII), and advance lung cancer inflammation index (ALI) measurements taken before surgery. Hazard curves indicating changes in hazards over time were evaluated. Results: Median follow-up was 39.2 months. In total, 105 patients (27.1%) experienced recurrence. The resulting hazard curve with elevated CAR, SII, GPS, and mGPS, values displayed an initial high peak during the first year. Multivariate analyses showed that an elevated CAR [hazard ratio (HR), 1.987; 95% confidence interval (CI), 1.202-3.284] independently predicted the recurrence-free survival. Even in stage I disease, patients with elevated CAR and SII values showed an earlier peak of recurrence, which was about 12 to 16 months earlier than those with low values. Conclusions: Even after complete resection of stage I NSCLC, patients with elevated CAR and SII values retain a high risk of early recurrence. Preoperative inflammation-based scores can be an objective, simple, and cost-effective measurement for predicting early recurrence of NSCLC.