Systemic inflammatory response (SIR) may influence prognosis in epidermal growth factor receptor (EGFR)-mutated (m) non-small-cell lung cancer (NSCLC). Pretreatment SIR markers (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio [LMR], lactate dehydrogenase [LDH], and lung immune prognostic index [LIPI]) were assessed as prognostic factors in NSCLC survival.
Retrospective survival analysis (overall survival [OS] and progression-free survival [PFS]) of EGFR-mutated NSCLC patients at Princess Margaret Cancer Centre were performed separately for early (I-IIIa) and late (IIIb-IV) stage disease for individual SIR variables, dichotomized by optimal cutoff points by Kaplan-Meier survival analysis and multivariable Cox proportional hazard modeling. A systematic review and meta-analysis of known SIR studies in patients with late-stage EGFR-mutated were also performed.
From 2012 to 2019, in 530 patients, significant adjusted hazard ratios (aHR) for OS comparing high versus low NLR were 2.12 for early stage and 1.79 for late stage disease. Additionally, late stage cohorts had significant associations, as follows: high versus low derived NLR, aHR = 1.53; LMR, aHR = 0.62; LDH, aHR = 2.04; and LIPI, aHR = 2.04. Similar patterns were found for PFS in early stage NLR (aHR = 1.96) and late stage NLR (aHR = 1.46), while for PFS, only late stage derived NLR (aHR = 1.34), LDH (aHR = 1.75), and LIPI (aHR = 1.66) were significant. A meta-analysis confirmed that NLR, LMR, LDH, and LIPI were all significantly associated with OS and PFS in the late stage.
This primary study and meta-analysis demonstrated that LMR and LDH were significantly associated with late stage EGFR-mutated NSCLC outcomes, and the LIPI scoring system was prognostic. NLR remained an independent prognostic factor across all stages and could represent an early marker of immuno-oncology interactions.

Systemic Inflammatory Markers of Survival in Epidermal Growth Factor-Mutated Non-Small-Cell Lung Cancer: Single-Institution Analysis, Systematic Review, and Meta-analysis.

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