4.6 Article

Biomarkers of systemic inflammation predict survival with first-line immune checkpoint inhibitors in non-small-cell lung cancer

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ESMO OPEN
卷 7, 期 2, 页码 -

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ELSEVIER
DOI: 10.1016/j.esmoop.2022.100445

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non-small-cell lung cancer (NSCLC); immune checkpoint inhibitors; inflammation; biomarker; prognosis; Scottish Inflammatory Prognostic Score (SIPS)

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资金

  1. NHS Research Scotland Career Researcher Fellowship

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This study evaluated the prognostic significance of biomarkers of the systemic inflammatory response in patients with advanced non-small-cell lung cancer (NSCLC) receiving first-line pembrolizumab. The results showed that albumin and neutrophil count were independently associated with progression-free survival (PFS) and overall survival (OS). A simple score combining these biomarkers, called Scottish Inflammatory Prognostic Score (SIPS), was developed and found to predict survival in NSCLC patients. SIPS can stratify survival and assist clinicians and patients with treatment decisions.
Introduction: Pembrolizumab is an established first-line option for patients with advanced non-small-cell lung cancer (NSCLC) expressing programmed death-ligand 1 >= 50%. Durable responses are seen in a subset of patients; however, many derive little clinical benefit. Biomarkers of the systemic inflammatory response predict survival in NSCLC. We evaluated their prognostic significance in patients receiving first-line pembrolizumab for advanced NSCLC. Methods: Patients treated with first-line pembrolizumab for advanced NSCLC with programmed death-ligand 1 expression >= 50% at two regional Scottish cancer centres were identified. Pretreatment inflammatory biomarkers (white cell count, neutrophil count, neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, albumin, prognostic nutritional index) were recorded. The relationship between these and progression-free survival (PFS) and overall survival (OS) were examined. Results: Data were available for 219 patients. On multivariate analysis, albumin and neutrophil count were independently associated with PFS (P < 0.001, P = 0.002, respectively) and OS (both P < 0.001). A simple score combining these biomarkers was explored. The Scottish Inflammatory Prognostic Score (SIPS) assigned 1 point each for albumin <35 g/l and neutrophil count >7.5 x 10(9)/l to give a three-tier categorical score. SIPS predicted PFS [hazard ratio 2.06, 95% confidence interval (CI) 1.68-2.52 (P < 0.001)] and OS [hazard ratio 2.33, 95% CI 1.86-2.92 (P < 0.001)]. It stratified PFS from 2.5 (SIPS2), to 8.7 (SIPS1) to 17.9 months (SIPS0) (P < 0.001) and OS from 5.1 (SIPS2), to 12.4 (SIPS1) to 28.7 months (SIPS0) (P < 0.001). The relative risk of death before 6 months was 2.96 (95% CI 1.98-4.42) in patients with SIPS2 compared with those with SIPS0-1 (P < 0.001). Conclusions: SIPS, a simple score combining albumin and neutrophil count, predicts survival in patients with NSCLC receiving first-line pembrolizumab. Unlike many proposed prognostic scores, SIPS uses only routinely collected pretreatment test results and provides a categorical score. It stratifies survival across clinically meaningful time periods that may assist clinicians and patients with treatment decisions. We advocate validation of the prognostic utility of SIPS in this and other immune checkpoint inhibitor treatment settings.

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