Nivolumab or Atezolizumab in the Second-Line Treatment of Advanced Non-Small Cell Lung Cancer? A Prognostic Index Based on Data from Daily Practice

Author:

Knetki-Wróblewska Magdalena1ORCID,Tabor Sylwia1,Piórek Aleksandra1ORCID,Płużański Adam1ORCID,Winiarczyk Kinga1,Zaborowska-Szmit Magdalena1ORCID,Zajda Katarzyna1,Kowalski Dariusz M.1ORCID,Krzakowski Maciej1

Affiliation:

1. Department of Lung Cancer and Chest Tumours, The Maria Skłodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland

Abstract

Background: The efficacy of nivolumab and atezolizumab in advanced pre-treated NSCLC was documented in prospective trials. We aim to confirm the benefits and indicate predictive factors for immunotherapy in daily practice. Methods: This study was a retrospective analysis. The median PFS and OS were estimated using the Kaplan-Meier method. The log-rank test was used for comparisons. Multivariate analyses were performed using the Cox regression method. Results: A total of 260 patients (ECOG 0-1) with advanced NSCLC (CS III-IV) were eligible to receive nivolumab or atezolizumab as second-line treatment. Median PFS and OS were three months (95% confidence interval [CI] 2.57–3.42) and 10 months (95% CI 8.03–11.96), respectively, for the overall population. The median OS for the atezolizumab arm was eight months (95% CI 5.89–10.1), while for the nivolumab group, it was 14 months (95% CI 10.02–17.97) (p = 0.018). The sum of all measurable changes >100.5 mm (p = 0.007; HR = 1.003, 95% CI 1.001–1.005), PLT > 281.5 G/l (p < 0.001; HR = 1.003, 95% CI 1.001–1.003) and bone metastases (p < 0.004; HR = 1.58, 95% CI 1.04–2.38) were independent negative prognostic factors for OS in multivariate analysis. Based on preliminary analyses, a prognostic index was constructed to obtain three prognostic groups. Median OS in the subgroups was 16 months (95% CI 13.3–18.7), seven months (95% CI 4.83–9.17) and four months (95% CI 2.88–5.13), respectively (p < 0.001). Conclusions: Nivolumab and atezolizumab provided clinical benefit in real life. Clinical and laboratory factors may help to identify subgroups likely to benefit. The use of prognostic indices may be valuable in clinical practice.

Publisher

MDPI AG

Subject

General Medicine

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