A Circulating Signature of Tumour Hybrid Cells and Immune Checkpoints Predicts Metastatic Progression in Lung Cancer

Lung cancer remains the leading cause of cancer-related mortality worldwide and is frequently diagnosed at advanced stages, when metastatic dissemination is already present. Tumour hybrid cells (THCs) are rare circulating cells formed through fusion between cancer stem cells with leukocytes, predominantly monocytes. These cells combine traits from both lineages, conferring enhanced migratory, invasive and immune-evasive capacities that could promote metastasis. In parallel, soluble immune checkpoints (sICs) have emerged as minimally invasive biomarkers and indicators of systemic immune dysregulation and tumour-driven immune escape. In this study, 31 patients with lung cancer were prospectively enrolled at La Paz University Hospital (Madrid, Spain). Circulating THCs were quantified by spectral flow cytometry, and plasma sICs concentrations were determined using multiplex immunoassays. Patients were stratified by metastatic status and survival. Variables showing the strongest discriminative capacity were integrated into multivariable logistic regression models. Number of THCs, and levels of sCTLA-4, s-41BB, sLAG-3, and sTIM-3 exhibited the strongest discrimination for metastasis, while THCs, sLAG-3, and sTIM-3 distinguished deceased from surviving patients. Integrating predictive models demonstrated high accuracy, and survival analyses supported their prognostic significance. These findings indicate circulating THCs and selected sICs represent promising liquid biomarkers for monitoring lung cancer progression and patient outcomes.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-02-19
DOI
https://doi.org/10.3390/ijms27041994
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00

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A Circulating Signature of Tumour Hybrid Cells and Immune Checkpoints Predicts Metastatic Progression in Lung Cancer

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A Circulating Signature of Tumour Hybrid Cells and Immune Checkpoints Predicts Metastatic Progression in Lung Cancer

Julia del Prado-Montero, Gloria Cristina Bonel-Pérez, Jesús Fernández-Felipe, Laura Hurtado‐Navarro, María Elena Corpa-Rodríguez, Gonzalo Sáenz de Santa María-Diez, Daniel Arvelo-Rosario, Verónica Terrón-Arcos, Carlos del Fresno, Urko Aguirre-Larracoechea, Eduardo López-Collazo, Karla Montalbán-Hernández, Laura Córdoba, Sandra Liana Pardo-Prieto
article en

Abstract

Lung cancer remains the leading cause of cancer-related mortality worldwide and is frequently diagnosed at advanced stages, when metastatic dissemination is already present. Tumour hybrid cells (THCs) are rare circulating cells formed through fusion between cancer stem cells with leukocytes, predominantly monocytes. These cells combine traits from both lineages, conferring enhanced migratory, invasive and immune-evasive capacities that could promote metastasis. In parallel, soluble immune checkpoints (sICs) have emerged as minimally invasive biomarkers and indicators of systemic immune dysregulation and tumour-driven immune escape. In this study, 31 patients with lung cancer were prospectively enrolled at La Paz University Hospital (Madrid, Spain). Circulating THCs were quantified by spectral flow cytometry, and plasma sICs concentrations were determined using multiplex immunoassays. Patients were stratified by metastatic status and survival. Variables showing the strongest discriminative capacity were integrated into multivariable logistic regression models. Number of THCs, and levels of sCTLA-4, s-41BB, sLAG-3, and sTIM-3 exhibited the strongest discrimination for metastasis, while THCs, sLAG-3, and sTIM-3 distinguished deceased from surviving patients. Integrating predictive models demonstrated high accuracy, and survival analyses supported their prognostic significance. These findings indicate circulating THCs and selected sICs represent promising liquid biomarkers for monitoring lung cancer progression and patient outcomes.

International Journal of Molecular SciencesVol. 27(4)
Universitat Jaume I (ES), Hospital Universitario La Paz (ES), Hospital La Paz Institute for Health Research (ES), Red de Investigación en Actividades Preventivas y Promoción de la Salud (ES), Centre for Biomedical Network Research on Rare Diseases (ES), Centro de Investigación Biomédica en Red (ES), Osasun Sistemen Ikerketa Institutua (ES), Hospital de Galdakao (ES), Osakidetza (ES), Centro de Investigación Biomédica en Red de Cáncer (ES), Medical Research Network (US)
European Commission, Instituto de Salud Carlos III
Reduced inequalities
Openalex Percentile: Top 48%
Cancer Cells and Metastasis
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