Prognostic impact of Interleukin-8 levels in lung cancer: A meta-analysis and a bioinformatic validation.

Biomarkers Interleukin-8 Lung cancer Prognosis

Journal

Lung cancer (Amsterdam, Netherlands)
ISSN: 1872-8332
Titre abrégé: Lung Cancer
Pays: Ireland
ID NLM: 8800805

Informations de publication

Date de publication:
14 Jul 2024
Historique:
received: 23 05 2024
revised: 10 07 2024
accepted: 11 07 2024
medline: 16 7 2024
pubmed: 16 7 2024
entrez: 15 7 2024
Statut: aheadofprint

Résumé

High interleukin-8 (IL-8) levels have been linked to poor prognosis in lung cancer, but conclusive data are lacking. A comprehensive search was conducted on April 1st, 2023, from electronic databases, focusing on studies with IL-8 expression evaluations and the availability of hazard ratio (HR) and 95% confidence intervals (CI) for overall survival (OS), progression-free survival (PFS) and disease-free survival (DFS) or adequate data for their estimation. Then, we examined IL-8 and CXCR1 RNA-seq data from The Cancer Genome Atlas (TCGA) dataset, and we correlated these data with OS. Among 2655 produced records, 10 manuscripts involving both non-small cell lung cancer and small cell lung cancer, were included in the analysis. Two manuscripts and one study included two and three different cohorts, respectively, for a total of 14 cohorts of patients. Overall, 4 cohorts evaluated IL-8 levels in patients treated with chemotherapy, 3 cohorts immunotherapy, 2 cohorts surgical patients and 4 cohorts other treatments; 1 cohort was removed, as the type of treatments was lacking. The 12 cohorts included in the OS analysis revealed that patients with high IL-8 levels have a lower OS probability, as compared to patients with low IL-8 levels (HR=1.75, 95 % CI 1.36-2.26). No significant difference between patients with high and low IL-8 levels was observed in the 8 cohorts available for PFS analysis. Sensitivity analysis according to treatment revealed significant PFS and OS differences for patients treated with chemotherapy or immunotherapy. Analysis of RNA-seq data from TCGA, confirmed the correlation between high IL-8 and CXCR1 expression and worse OS in patients with resected lung cancer. To the best of our knowledge, this study represents the first meta-analysis demonstrating a negative prognostic impact of high IL-8 level in lung cancer, particularly in patients treated with chemotherapy and/or immunotherapy.

Sections du résumé

BACKGROUND BACKGROUND
High interleukin-8 (IL-8) levels have been linked to poor prognosis in lung cancer, but conclusive data are lacking.
MATERIALS AND METHODS METHODS
A comprehensive search was conducted on April 1st, 2023, from electronic databases, focusing on studies with IL-8 expression evaluations and the availability of hazard ratio (HR) and 95% confidence intervals (CI) for overall survival (OS), progression-free survival (PFS) and disease-free survival (DFS) or adequate data for their estimation. Then, we examined IL-8 and CXCR1 RNA-seq data from The Cancer Genome Atlas (TCGA) dataset, and we correlated these data with OS.
RESULTS RESULTS
Among 2655 produced records, 10 manuscripts involving both non-small cell lung cancer and small cell lung cancer, were included in the analysis. Two manuscripts and one study included two and three different cohorts, respectively, for a total of 14 cohorts of patients. Overall, 4 cohorts evaluated IL-8 levels in patients treated with chemotherapy, 3 cohorts immunotherapy, 2 cohorts surgical patients and 4 cohorts other treatments; 1 cohort was removed, as the type of treatments was lacking. The 12 cohorts included in the OS analysis revealed that patients with high IL-8 levels have a lower OS probability, as compared to patients with low IL-8 levels (HR=1.75, 95 % CI 1.36-2.26). No significant difference between patients with high and low IL-8 levels was observed in the 8 cohorts available for PFS analysis. Sensitivity analysis according to treatment revealed significant PFS and OS differences for patients treated with chemotherapy or immunotherapy. Analysis of RNA-seq data from TCGA, confirmed the correlation between high IL-8 and CXCR1 expression and worse OS in patients with resected lung cancer.
CONCLUSION CONCLUSIONS
To the best of our knowledge, this study represents the first meta-analysis demonstrating a negative prognostic impact of high IL-8 level in lung cancer, particularly in patients treated with chemotherapy and/or immunotherapy.

Identifiants

pubmed: 39008934
pii: S0169-5002(24)00427-6
doi: 10.1016/j.lungcan.2024.107893
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107893

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: [L.B. received speakers' fees from Astra-Zeneca, MSD, Roche, outside the submitted manuscript; travel fees from Takeda. S.P. received honoraria or speakers' fees from Astra-Zeneca, Eli-Lilly, BMS, MSD, Takeda, Amgen, Novartis, and Roche, outside the submitted manuscript].

Auteurs

Lorenzo Belluomini (L)

Section of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and Verona University Hospital Trust, Verona, Italy. Electronic address: lorenzo.belluomini@univr.it.

Ursula Cesta Incani (U)

Section of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and Verona University Hospital Trust, Verona, Italy. Electronic address: u.cestaincani@gmail.com.

Annafrancesca Smimmo (A)

Medical Statistics Unit, University of Campania " Luigi Vanvitelli ", Napoli, Italy. Electronic address: annafrancescasmimmo@gmail.com.

Alice Avancini (A)

Section of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and Verona University Hospital Trust, Verona, Italy; Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy. Electronic address: alice.avancini@univr.it.

Marco Sposito (M)

Section of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and Verona University Hospital Trust, Verona, Italy. Electronic address: marcosposito91@gmail.com.

Jessica Insolda (J)

Section of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and Verona University Hospital Trust, Verona, Italy. Electronic address: jessica.insolda@univr.it.

Ilaria Mariangela Scaglione (I)

Section of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and Verona University Hospital Trust, Verona, Italy. Electronic address: ilariascaglione@tiscali.it.

Federica Gattazzo (F)

Università Cattolica del Sacro Cuore, Piacenza, Italy; INSERM U1015, Gustave Roussy Cancer Campus, Villejuif, France. Electronic address: federica.gattazzo@unicatt.it.

Simone Caligola (S)

Veneto Institute of Oncology IOV-IRCCS, Padua, Italy. Electronic address: simone.caligola@univr.it.

Annalisa Adamo (A)

Section of Immunology, Department of Medicine, University of Verona, Verona, Italy. Electronic address: annalisa.adamo@gmail.com.

Fabiana Conciatori (F)

Preclinical Models and New Therapeutic Agents Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy. Electronic address: fabiana.conciatori@ifo.it.

Chiara Bazzichetto (C)

Preclinical Models and New Therapeutic Agents Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy. Electronic address: chiara.bazzichetto@ifo.it.

Stefano Ugel (S)

Section of Immunology, Department of Medicine, University of Verona, Verona, Italy. Electronic address: stefano.ugel@univr.it.

Diana Giannarelli (D)

Biostatistical Unit, Comprehensive Cancer Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy. Electronic address: diana.giannarelli@policlinicogemelli.it.

Sara Pilotto (S)

Section of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and Verona University Hospital Trust, Verona, Italy. Electronic address: sara.pilotto@univr.it.

Michele Milella (M)

Section of Innovation Biomedicine - Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and Verona University Hospital Trust, Verona, Italy. Electronic address: michele.milella@univr.it.

Classifications MeSH