4.7 Article

Biomarkers for Outcome in Metastatic Melanoma in First Line Treatment with Immune Checkpoint Inhibitors

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BIOMEDICINES
卷 11, 期 3, 页码 -

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MDPI
DOI: 10.3390/biomedicines11030749

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immune checkpoint inhibitors; metastatic melanoma; predictive and prognostic biomarkers; immune-related adverse events; immune-inflammation parameters

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A retrospective analysis showed that immune-related adverse events (irAEs) and serum immune-inflammation parameters could serve as potential biomarkers for response and survival in metastatic melanoma patients treated with immune checkpoint inhibitors. Patients with high pre-treatment levels of systemic immune-inflammation index (SII) had a higher risk of progression and death, but those with irAEs in the high-SII group might respond well to immune checkpoint inhibitors.
Introduction: A high proportion of metastatic melanoma patients do not respond to immune checkpoint inhibitors (ICI), and until now, no validated biomarkers for response and survival have been known. Methods: We performed a retrospective analysis of outcomes in patients with metastatic melanoma treated with first-line ICI at the Institute of Oncology Ljubljana from January 2018 to December 2020. The immune-related adverse events (irAEs) and serum immune-inflammation parameters (neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (LR), systemic immune-inflammation index (SII) and pan-immune-inflammation value (PIV)) were analyzed as potential biomarkers for response and survival. Survival rates were calculated using the Kaplan-Meier method and then compared with the log-rank test. Multivariate regression Cox analysis was used to determine independent prognostic factors for progression-free survival (PFS) and overall survival (OS). Results: Median follow-up was 22.5 months. The estimated median progression-free survival (PFS) was 15 months (95% CI 3.3-26.2). The two-year survival rate (OS) was 66.6%. Among 129 treated patients, 24 (18.6%) achieved complete response, 28 (21.7%) achieved partial response, 26 (20.2%) had stable disease and 51 (39.5%) patients experienced a progressive disease. There was a higher response rate in patients with irAEs (p < 0.001) and high NLR before the second cycle of ICI (p = 0.052). Independent prognostic factors for PFS were irAE (HR 0.41 (95% CI 0.23-0.71)), SII before the first cycle of ICI (HR 1.94 (95% CI 1.09-3.45)) and PLR before the second cycle of ICI (HR 1.71 (95% CI 1.03-2.83)). The only independent prognostic factor for OS was SII before the first cycle of ICI (HR 2.60 (95% CI 0.91-7.50)). Conclusions: Patients with high pre-treatment levels of SII had a higher risk of progression and death; however, patients with irAEs in the high-SII group might respond well to ICI. Patients who develop irAEs and have high NLRs before the second ICI application have higher rates of CR and PR, which implicates their use as early biomarkers for responsiveness to ICI.

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