Protein Biomarkers in Lung Cancer Screening: Technical Considerations and Feasibility Assessment
Arch Bronconeumol. 2024 Oct:60 Suppl 2:S67-S76.
doi: 10.1016/j.arbres.2024.07.007.
Epub 2024 Jul 17.
[Article in
English,
Spanish]
Authors
Daniel Orive
1
, Mirari Echepare
2
, Franco Bernasconi-Bisio
3
, Miguel Fernández Sanmamed
4
, Antonio Pineda-Lucena
5
, Carlos de la Calle-Arroyo
6
, Frank Detterbeck
7
, Rayjean J Hung
8
, Mattias Johansson
9
, Hilary A Robbins
9
, Luis M Seijo
10
, Luis M Montuenga
11
, Karmele Valencia
12
Affiliations
- 1 Solid Tumors Program, CIMA-University of Navarra, Pamplona, Spain; Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, Pamplona, Spain; Consorcio de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
- 2 Solid Tumors Program, CIMA-University of Navarra, Pamplona, Spain; Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, Pamplona, Spain; Consorcio de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain; Navarra Health Research Institute (IDISNA), Pamplona, Spain.
- 3 Molecular Therapeutics Program, CIMA-University of Navarra, Pamplona, Spain; Department of Biochemistry and Genetics, School of Sciences, University of Navarra, Pamplona, Spain.
- 4 Consorcio de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain; Program of Immunology and Immunotherapy, CIMA-University of Navarra, Pamplona, Spain; Department of Oncology, Clínica Universidad de Navarra, Pamplona, Spain.
- 5 Navarra Health Research Institute (IDISNA), Pamplona, Spain; Molecular Therapeutics Program, CIMA-University of Navarra, Pamplona, Spain; Department of Biochemistry and Genetics, School of Sciences, University of Navarra, Pamplona, Spain.
- 6 Instituto de Ciencia de los Datos e Inteligencia Artificial (DATAI), Universidad de Navarra, Pamplona, Spain.
- 7 Division of Thoracic Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT, USA.
- 8 Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
- 9 International Agency for Research on Cancer, Lyon, France.
- 10 CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain; Pulmonary Department, Clínica Universidad de Navarra, Madrid, Spain.
- 11 Solid Tumors Program, CIMA-University of Navarra, Pamplona, Spain; Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, Pamplona, Spain; Consorcio de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain; Navarra Health Research Institute (IDISNA), Pamplona, Spain. Electronic address: lmontuenga@unav.es.
- 12 Solid Tumors Program, CIMA-University of Navarra, Pamplona, Spain; Consorcio de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain; Navarra Health Research Institute (IDISNA), Pamplona, Spain; Department of Biochemistry and Genetics, School of Sciences, University of Navarra, Pamplona, Spain. Electronic address: kvalencia@unav.es.
Abstract
Lung cancer remains the leading cause of cancer-related deaths worldwide, mainly due to late diagnosis and the presence of metastases. Several countries around the world have adopted nation-wide LDCT-based lung cancer screening that will benefit patients, shifting the stage at diagnosis to earlier stages with more therapeutic options. Biomarkers can help to optimize the screening process, as well as refine the TNM stratification of lung cancer patients, providing information regarding prognostics and recommending management strategies. Moreover, novel adjuvant strategies will clearly benefit from previous knowledge of the potential aggressiveness and biological traits of a given early-stage surgically resected tumor. This review focuses on proteins as promising biomarkers in the context of lung cancer screening. Despite great efforts, there are still no successful examples of biomarkers in lung cancer that have reached the clinics to be used in early detection and early management. Thus, the field of biomarkers in early lung cancer remains an evident unmet need. A more specific objective of this review is to present an up-to-date technical assessment of the potential use of protein biomarkers in early lung cancer detection and management. We provide an overview regarding the benefits, challenges, pitfalls and constraints in the development process of protein-based biomarkers. Additionally, we examine how a number of emerging protein analytical technologies may contribute to the optimization of novel robust biomarkers for screening and effective management of lung cancer.
Keywords:
Biomarkers; Discovery; Early stage; High-plex technologies; Lung cancer; Prognosis; Protein; Screening.
Copyright © 2024 The Authors. Published by Elsevier España, S.L.U. All rights reserved.
MeSH terms
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Biomarkers, Tumor* / analysis
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Biomarkers, Tumor* / blood
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Early Detection of Cancer* / methods
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Feasibility Studies*
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Humans
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Lung Neoplasms* / diagnosis
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Neoplasm Proteins / analysis
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Neoplasm Proteins / blood
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Proteomics / methods
Substances
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Biomarkers, Tumor
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Neoplasm Proteins