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Review
. 2020 Jul 26;10(3):72.
doi: 10.3390/jpm10030072.

Markers Useful in Monitoring Radiation-Induced Lung Injury in Lung Cancer Patients: A Review

Affiliations
Review

Markers Useful in Monitoring Radiation-Induced Lung Injury in Lung Cancer Patients: A Review

Mariola Śliwińska-Mossoń et al. J Pers Med. .

Abstract

In 2018, lung cancer was the most common cancer and the most common cause of cancer death, accounting for a 1.76 million deaths. Radiotherapy (RT) is a widely used and effective non-surgical cancer treatment that induces remission in, and even cures, patients with lung cancer. However, RT faces some restrictions linked to the radioresistance and treatment toxicity, manifesting in radiation-induced lung injury (RILI). About 30-40% of lung cancer patients will develop RILI, which next to the local recurrence and distant metastasis is a substantial challenge to the successful management of lung cancer treatment. These data indicate an urgent need of looking for novel, precise biomarkers of individual response and risk of side effects in the course of RT. The aim of this review was to summarize both preclinical and clinical approaches in RILI monitoring that could be brought into clinical practice. Next to transforming growth factor-β1 (TGFβ1) that was reported as one of the most important growth factors expressed in the tissues after ionizing radiation (IR), there is a group of novel, potential biomarkers-microRNAs-that may be used as predictive biomarkers in therapy response and disease prognosis.

Keywords: RILF; RILI; circulating biomarkers; lung cancer; microRNA; pneumonitis; radiation-induced lung fibrosis; radiation-induced lung injury; radiotherapy; radiotherapy monitoring.

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Conflict of interest statement

The authors declare no conflicts of interest.

References

    1. Cancer. [(accessed on 29 June 2020)]; Available online: http://archive.today/2020.07.03-074914/https://www.who.int/news-room/fac....
    1. Du L., Ma N., Dai X., Yu W., Huang X., Xu S., Liu F., He Q., Liu Y., Wang Q., et al. Precise prediction of the radiation pneumonitis in lung cancer: An explorative preliminary mathematical model using genotype information. J. Cancer. 2020;11:2329–2338. doi: 10.7150/jca.37708. - DOI - PMC - PubMed
    1. Horn L., Lovly C.M. Neoplasms of the lung. In: Jameson J., Fauci A.S., Kasper D.L., Hauser S.L., Longo D.L., Loscalzo J., editors. Harrison’s Principles of Internal Medicine. 20th ed. McGraw-Hill; New York, NY, USA: 2018.
    1. Woodworth A.L., Schuler E. The respiratory system. In: Laposata M., editor. Laposata’s Laboratory Medicine: Diagnosis of Disease in the Clinical Laboratory. 3th ed. McGraw-Hill; New York, NY, USA: 2019.
    1. Stoeckel D.A., Matuschak G.M. Lung cancer. In: Lechner A.J., Matuschak G.M., Brink D.S., editors. Respiratory: An. Integrated Approach to Disease. McGraw-Hill; New York, NY, USA: 2012.

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