Inflammation markers in lung cancer: prognostic and predictive value

Lung cancer is a complex and heterogeneous disease with significant morbidity and mortality worldwide. Over the years, several inflammation markers have been studied, such as molecules, cells, genes, etc., that are implicated in the extremely complex interactions taking place in the inflammatory process implicated in cancer development. This narrative review aims to present the most commonly studied inflammation markers in lung cancer, including C-reactive protein, tumor necrosis factor family members, and prostaglandin E synthase enzyme 3, as well as the significant number of scores and indexes that have been developed to improve the prognostic and predictive potential for non-small cell lung cancer and small cell lung cancer patients of different stages and treatment approaches. Scores and indexes originating from a combination of variables used in everyday clinical practice are emphasized due to their simplicity and cost-effectiveness. Studies addressing the prognostic and predictive value of the most important and recently studied markers, indexes, and scores in lung cancer are summarized, revealing their potential as indicators of overall survival, therapeutic response, and tumor immune characteristics. Limitations in utilizing inflammation markers as predictive biomarkers are discussed, including assay standardization, the complexity of the inflammatory response, confounding factors, and the dynamic nature of marker assessment. The progress of biotechnology, along with the combination of routine clinical practice insights, could result in the development of inflammation markers with improved prognostic and predictive value guiding treatment decisions for lung cancer patients in the context of precision medicine.

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Publication Details

Journal
Monaldi Archives for Chest Disease
Published
2025-10-23
DOI
https://doi.org/10.4081/monaldi.2025.3580
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
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article

Inflammation markers in lung cancer: prognostic and predictive value

Paschalina Tsopa, Nikolaos Syrigos, Marousa Kouvela, Christos Kosmas
Monaldi Archives for Chest Disease
Inflammatory Biomarkers in Disease Prognosis
article

Inflammation markers in lung cancer: prognostic and predictive value

Paschalina Tsopa, Nikolaos Syrigos, Marousa Kouvela, Christos Kosmas
article en

Abstract

Lung cancer is a complex and heterogeneous disease with significant morbidity and mortality worldwide. Over the years, several inflammation markers have been studied, such as molecules, cells, genes, etc., that are implicated in the extremely complex interactions taking place in the inflammatory process implicated in cancer development. This narrative review aims to present the most commonly studied inflammation markers in lung cancer, including C-reactive protein, tumor necrosis factor family members, and prostaglandin E synthase enzyme 3, as well as the significant number of scores and indexes that have been developed to improve the prognostic and predictive potential for non-small cell lung cancer and small cell lung cancer patients of different stages and treatment approaches. Scores and indexes originating from a combination of variables used in everyday clinical practice are emphasized due to their simplicity and cost-effectiveness. Studies addressing the prognostic and predictive value of the most important and recently studied markers, indexes, and scores in lung cancer are summarized, revealing their potential as indicators of overall survival, therapeutic response, and tumor immune characteristics. Limitations in utilizing inflammation markers as predictive biomarkers are discussed, including assay standardization, the complexity of the inflammatory response, confounding factors, and the dynamic nature of marker assessment. The progress of biotechnology, along with the combination of routine clinical practice insights, could result in the development of inflammation markers with improved prognostic and predictive value guiding treatment decisions for lung cancer patients in the context of precision medicine.

Monaldi Archives for Chest Disease
Metaxa Hospital (GR), Sotiria General Hospital (GR)
Openalex Percentile: Top 59%
Inflammatory Biomarkers in Disease Prognosis
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