Using peripheral immune-inflammatory blood markers in tumors treated with immune checkpoint inhibitors : An INVIDIa-2 study sub-analysis
© 2023 The Authors..
The neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammatory index (SII) have been reported as prognosticators in non-small cell lung cancer (NSCLC), renal cell carcinoma (RCC), and melanoma. This analysis of the INVIDIa-2 study on influenza vaccination in patients with cancer treated with immune checkpoint inhibitors (ICIs) assessed NLR and SII on overall survival (OS) by literature-reported (LR), receiver operating characteristic curve (ROC)-derived (ROC) cutoffs or as continuous variable (CV). NLR and SII with ROC cutoffs of <3.4 (p < 0.001) and <831 (p < 0.001) were independent factors for OS in multivariate analysis. SII with LR, ROC, or CV significantly predicted OS in NSCLC (p = 0.002, p = 0.003, p = 0.003), RCC (p = 0.034, p = 0.014, p = 0.014), and melanoma (p = 0.038, p = 0.022, p = 0.019). NLR with LR and ROC cutoffs predicted OS in first line (p < 0.001 for both) and second line or beyond (p = 0.006 for both); likewise SII (p < 0.001; p = 0.002 and p < 0.001). NLR and SII are prognosticators in NSCLC, RCC, and melanoma treated with ICIs.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:26 |
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Enthalten in: |
iScience - 26(2023), 11 vom: 17. Nov., Seite 107970 |
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Englisch |
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Date Revised 03.04.2024 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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doi: |
10.1016/j.isci.2023.107970 |
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PPN (Katalog-ID): |
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520 | |a The neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammatory index (SII) have been reported as prognosticators in non-small cell lung cancer (NSCLC), renal cell carcinoma (RCC), and melanoma. This analysis of the INVIDIa-2 study on influenza vaccination in patients with cancer treated with immune checkpoint inhibitors (ICIs) assessed NLR and SII on overall survival (OS) by literature-reported (LR), receiver operating characteristic curve (ROC)-derived (ROC) cutoffs or as continuous variable (CV). NLR and SII with ROC cutoffs of <3.4 (p < 0.001) and <831 (p < 0.001) were independent factors for OS in multivariate analysis. SII with LR, ROC, or CV significantly predicted OS in NSCLC (p = 0.002, p = 0.003, p = 0.003), RCC (p = 0.034, p = 0.014, p = 0.014), and melanoma (p = 0.038, p = 0.022, p = 0.019). NLR with LR and ROC cutoffs predicted OS in first line (p < 0.001 for both) and second line or beyond (p = 0.006 for both); likewise SII (p < 0.001; p = 0.002 and p < 0.001). NLR and SII are prognosticators in NSCLC, RCC, and melanoma treated with ICIs | ||
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