Predicting immunotherapy outcomes under therapy in patients with advanced NSCLC using dNLR and its early dynamics.

doi:10.1016/j.ejca.2021.03.011

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Article

Predicting immunotherapy outcomes under therapy in patients with advanced NSCLC using dNLR and its early dynamics.

European journal of cancer (Oxford, England : 1990) - 1 Jul 2021

Mezquita Laura, Preeshagul Isabel, Auclin Edouard, Saravia Diana, Hendriks Lizza, Rizvi Hira, Park Wungki, Nadal Ernest, Martin-Romano Patricia, Ruffinelli Jose C, Ponce Santiago, Audigier-Valette Clarisse, Carnio Simona, Blanc-Durand Felix, Bironzo Paolo, Tabbò Fabrizio, Reale Maria Lucia, Novello Silvia, Hellmann Matthew D, Sawan Peter, Girshman Jeffrey, Plodkowski Andrew J, Zalcman Gerard, Majem Margarita, Charrier Melinda, Naigeon Marie, Rossoni Caroline, Mariniello AnnaPaola, Paz-Ares Luis, Dingemans Anne Marie, Planchard David, Cozic Nathalie, Cassard Lydie, Lopes Gilberto, Chaput Nathalie, Arbour Kathryn, Besse Benjamin

Abstract excerpt

BACKGROUND: dNLR at the baseline (B), defined by neutrophils/[leucocytes-neutrophils], correlates with immune-checkpoint inhibitor (ICI) outcomes in advanced non-small-cell lung cancer (aNSCLC). However, dNLR is dynamic under therapy and its longitudinal assessment may provide data predicting efficacy. We sought to examine the impact of dNLR dynamics on ICI efficacy and understand its biological significance....

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Identifiers

PMID: 34022698
DOI: 10.1016/j.ejca.2021.03.011

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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