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Pre-proof, online 12 January 2026
CLINICAL APPLICATION OF EXPERT SOFTWARE BASED ON SIX TUMOUR BIOMARKERS TO STRATIFY THE RISK OF LUNG CANCER IN A PULMONARY RAPID DIAGNOSIS UNIT
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Rafael Molina1, Jaume Trapé7, Adolfo Garrido2, Ernesto Salas4, Rosa Mª. Domínguez Gutierrez de Ceballos5, Simón Gundín6, Antonio León Justel3, Marta García de Burgos8, Juana Piedad Rivas9, M. Ángel Julián Ansón10, Manuel Matos Garrido11, Sofía Lorenzo García12, Ramón Marrades13, Nekane Múgica Atorrasagasti14, Estefanía Luque Crespo15, Cecilia López-Ramírez16, Fernando Gustavo Gutiérrez Herrero17, Carolina González-Fernández7, Victoria Villalta Robles8, Mª Cruz González Cocaño19..., Mónica Ramos Álvarez10, José Carvalho Marta11, Clara Jiménez García12, Raquel Cabezón Vicente2, Mª. Pavón Masa15, Ruth Sáez de la Maleta Úbeda6, Oscar Bernadich18, Graciliano Estrada Trigueros20, Aurora Orejas19, J. Carlos Santana Astudillo14, J. Trapé-Úbeda21, Antonio Barco-Sánchez3,*Ver más
1 Clinical Biochemistry Department (Oncobiology Unit), Centro de Diagnóstico Biomédico (CDB), Hospital Clinic, IDIBAPS, University of Barcelona, Spain
2 Clinical Biochemistry Department, Hospital Donostia, San Sebastian, Spain
3 Clinical Biochemistry Department, University Hospital Virgen Macarena, Seville, Spain
4 Clinical Analysis Department, Hospital San Juan de Dios, Seville, Spain
5 Clinical Analysis Department, University Hospital Virgen del Rocío, Seville, Spain
6 Clinical Analysis Department, Burgos University Hospital, Burgos, Spain
7 Laboratory Medicine, Althaia Xarxa Assistencial Universitària de Manresa, Spain
8 Clinical Analysis Department, General Hospital of Segovia, Segovia, Spain
9 Pneumology Department, Leon University Healthcare Complex, Leon, Spain
10 Clinical Biochemistry Department, Clinical University Hospital Lozano Blesa, Zaragoza, Spain
11 Clinical Pathology Department, Centro Hospitalar Universitario Lisboa Central, Lisbon, Portugal
12 Clinical Analysis Department, University General Hospital of Alicante, Alicante, Spain
13 Respiratory Institute, Hospital Clinic, IDIBAPS, University of Barcelona, Spain
14 Pneumology Department, Hospital Donostia, San Sebastian, Spain
15 Pneumology Department, University Hospital Virgen Macarena, Seville, Spain
16 Pneumology Department, University Hospital Virgen del Rocío, Seville, Spain
17 Pneumology Department, Burgos University Hospital, Burgos, Spain
18 Pneumology Department, Althaia Xarxa Assistencial Universitària de Manresa, Spain
19 Clinical Analysis Department, Leon University Healthcare Complex, Leon, Spain
20 Pneumology Department, General Hospital of Segovia, Segovia, Spain
21 General Directorate of Health Planning and Research, Ministry of Health, Generalitat de Catalunya, Spain
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ABSTRACT

Objectives: Diagnostic tools that stratify lung cancer (LC) risk can help prioritize care for patients at the highest risk and optimize time and procedures to achieve the final diagnosis. We have previously demonstrated that six tumour biomarkers (TBs) - CEA, CYFRA 21.1, CA 15-3, SCC Ag, ProGRP, and NSE - can help assess LC risk. We developed expert software that combines these TBs with clinical and imaging data to estimate LC risk.

Methods: The diagnostic accuracy of this expert software was evaluated in a multicentre study.We prospectively recruited 2,005 individuals referred to 12 reference hospitals in Spain and Portugal for suspicion of LC. The six TBs were determined and the expert software was applied to all patients and correlated with the final diagnosis.

Results: A final diagnosis of LC was made in 1,392 patients. The expert software yielded 87.7% sensitivity, 75.5% specificity, 89.0% positive predictive value and 73.0% negative predictive value. Sensitivity increased with tumour size and extension. The software also provides histological information, correctly predicting cancer in 98.4% of small-cell LC and 93.2% of non-small-cell LC, which correlates with the histological diagnosis of 90% and 91.2%, respectively.

Conclusions: The expert software developed provides excellent diagnostic accuracy for diagnosing LC. Accordingly, this software can help stratify the risk of LC and prioritize the evaluation of patients at higher risk, optimizing procedures based on risk and knowledge of the most likely histological type, and providing a valuable tool for risk stratification and clinical decision support, particularly in Rapid Diagnostic Units.

Keywords:
Lung cancer
Diagnosis
Tumour biomarkers
Expert software
Risk stratification
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