Evidence map›Paper›PMID 40673091›Full record

ArticleTranslational lung cancer research2025

Evaluation of gut leakage and bacterial translocation as efficacy biomarkers of immunotherapy in advanced non-small cell lung cancer (NSCLC).

Pierre Magdelaine, Adrien Costantini, Paul Takam Kamga, Christy Gaella Kotokpo Youkou, Jennifer Arrondeau, Marie Wislez, Jean-François Emile, Etienne Giroux-Leprieur

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Article in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Pierre MagdelaineUniversity Paris-Saclay, University Versailles Saint-Quentin en Yvelines, EA 4340 BECCOH, Boulogne-Billancourt, France.
Adrien CostantiniUniversity Paris-Saclay, University Versailles Saint-Quentin en Yvelines, EA 4340 BECCOH, Boulogne-Billancourt, France.
Paul Takam KamgaUniversity Paris-Saclay, University Versailles Saint-Quentin en Yvelines, EA 4340 BECCOH, Boulogne-Billancourt, France.
Christy Gaella Kotokpo YoukouUniversity Paris-Saclay, University Versailles Saint-Quentin en Yvelines, EA 4340 BECCOH, Boulogne-Billancourt, France.
Jennifer ArrondeauDepartment of Medical Oncology, Assistance Publique Hôpitaux de Paris - Cochin Hospital, Paris, France.
Marie WislezDepartment of Respiratory Diseases, Assistance Publique Hôpitaux de Paris - Cochin Hospital, Paris, France.
Jean-François EmileUniversity Paris-Saclay, University Versailles Saint-Quentin en Yvelines, EA 4340 BECCOH, Boulogne-Billancourt, France.
Etienne Giroux-LeprieurUniversity Paris-Saclay, University Versailles Saint-Quentin en Yvelines, EA 4340 BECCOH, Boulogne-Billancourt, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the therapeutic advancements achieved through immunotherapy [immune checkpoint inhibitors (ICIs)] in treating advanced non-small cell lung cancer (NSCLC), the majority of patients will experience tumor progression. There is an urgent need for new predictive biomarkers of ICI efficacy in this setting. Our study aims to demonstrate the role of gut leakage, evaluated by plasma citrulline, and bacterial translocation, through blood microbiome assessment, as predictive markers of response to ICIs in advanced NSCLC. Methods: We used two independent cohorts (n=89 and n=85) of patients treated with ICIs for advanced NSCLC, with prospective blood citrulline assays at baseline (T0), 1st follow-up (T1) and progression (T2), by ion exchange chromatography. Early use of antibiotics and other demographic data were also collected. Quantification of 16sRNA gene expression and qualitative analysis of the blood microbiome were also performed. We correlated these biomarkers with ICI efficacy. Results: In the first cohort, blood citrulline levels were available for 75 patients at baseline (T0), with 35 patients with low citrulline level (<28 µM) and 40 patients with high citrulline level (≥28 µM). High baseline citrulline level (T0) was linked to a reduced refractory rate (P=0.001), improved response rate (P=0.001), a higher clinical benefit rate (P=0.009), and better progression-free survival (PFS) and overall survival (OS). Median PFS was 27.8 months in patients with baseline high citrulline level, and 7.5 months in patients with low citrulline level (P=0.04); median OS was 55.9 and 24.17 months (P=0.008). Those results remained consistent in the validation cohort. Responder patients had also lower levels of bacterial 16sRNA in their blood at T0 (P=0.01). Conclusions: Our study supports the potential utility of citrulline and quantification of 16sRNA in blood as predictive biomarkers for response to ICIs in treatment of NSCLC.

Indexed as

citrullinegutimmunotherapymicrobiomeNon-small cell lung cancer (NSCLC)

Identifiers

PMID40673091
PMCPMC12261376

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.