We investigated inflammatory markers such as the neutrophil-to-lymphocyte ratio (NLR) that may predict the response to anti-PD-1 (programmed cell death protein 1) antibody therapy. Data from 54 patients with non-small cell lung cancer (NSCLC) treated with anti-PD-1 antibodies were retrospectively analyzed. The NLR was assessed at baseline and 6 weeks after the start of treatment (post-treatment). Eighteen of 54 patients (33.3%) had objective responses to treatment. Older age, absence of brain metastasis, low post-treatment NLR (< 5), and immune-related adverse events were significantly associated with response. Patients with a high post-treatment NLR (≥ 5) had significantly shorter progression-free survival (PFS) than those with a low post-treatment NLR (median, 1.3 vs. 6.1 months, p < 0.001). Multivariate analysis demonstrated that high post-treatment NLR [hazard ratio (HR) 15.1, 95% confidence interval (CI) 1.5–50.1, p < 0.001], liver metastasis (HR 4.9, 95% CI 1.9–12.4, p = 0.001), and brain metastasis (HR 3.2, 95% CI 1.3–8.2, p = 0.013) were independent prognostic factors of shorter PFS. Overall survival (OS) was significantly different in patients with high and low post-treatment NLRs (median, 2.1 vs. 14.0 months, p < 0.001). A high post-treatment NLR remained an independent prognostic factor for OS in multivariate analysis (HR 3.9, 95% CI 1.6–9.2, p = 0.003). The NLR at 6 weeks after treatment initiation was a prognostic marker in patients with advanced NSCLC treated with anti-PD-1 antibody. Further studies are warranted to evaluate the role of the 6-week NLR as a predictor in anti-PD-1 antibody treatment.
Cancer Immunology, Immunotherapy – Springer Journals
Published: Dec 4, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.
All for just $49/month
It’s easy to organize your research with our built-in tools.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud