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Promising Biomarkers of Radiation-Induced Lung Injury: A Review

Radiation-induced lung injury (RILI) is one of the main dose-limiting side effects in patients with thoracic cancer during radiotherapy. No reliable predictors or accurate risk models are currently available in clinical practice. Severe radiation pneumonitis (RP) or pulmonary fibrosis (PF) will redu...

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Autores principales: Liu, Xinglong, Shao, Chunlin, Fu, Jiamei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470495/
https://www.ncbi.nlm.nih.gov/pubmed/34572367
http://dx.doi.org/10.3390/biomedicines9091181
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author Liu, Xinglong
Shao, Chunlin
Fu, Jiamei
author_facet Liu, Xinglong
Shao, Chunlin
Fu, Jiamei
author_sort Liu, Xinglong
collection PubMed
description Radiation-induced lung injury (RILI) is one of the main dose-limiting side effects in patients with thoracic cancer during radiotherapy. No reliable predictors or accurate risk models are currently available in clinical practice. Severe radiation pneumonitis (RP) or pulmonary fibrosis (PF) will reduce the quality of life, even when the anti-tumor treatment is effective for patients. Thus, precise prediction and early diagnosis of lung toxicity are critical to overcome this longstanding problem. This review summarizes the primary mechanisms and preclinical animal models of RILI reported in recent decades, and analyzes the most promising biomarkers for the early detection of lung complications. In general, ideal integrated models considering individual genetic susceptibility, clinical background parameters, and biological variations are encouraged to be built up, and more prospective investigations are still required to disclose the molecular mechanisms of RILI as well as to discover valuable intervention strategies.
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spelling pubmed-84704952021-09-27 Promising Biomarkers of Radiation-Induced Lung Injury: A Review Liu, Xinglong Shao, Chunlin Fu, Jiamei Biomedicines Review Radiation-induced lung injury (RILI) is one of the main dose-limiting side effects in patients with thoracic cancer during radiotherapy. No reliable predictors or accurate risk models are currently available in clinical practice. Severe radiation pneumonitis (RP) or pulmonary fibrosis (PF) will reduce the quality of life, even when the anti-tumor treatment is effective for patients. Thus, precise prediction and early diagnosis of lung toxicity are critical to overcome this longstanding problem. This review summarizes the primary mechanisms and preclinical animal models of RILI reported in recent decades, and analyzes the most promising biomarkers for the early detection of lung complications. In general, ideal integrated models considering individual genetic susceptibility, clinical background parameters, and biological variations are encouraged to be built up, and more prospective investigations are still required to disclose the molecular mechanisms of RILI as well as to discover valuable intervention strategies. MDPI 2021-09-08 /pmc/articles/PMC8470495/ /pubmed/34572367 http://dx.doi.org/10.3390/biomedicines9091181 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Liu, Xinglong
Shao, Chunlin
Fu, Jiamei
Promising Biomarkers of Radiation-Induced Lung Injury: A Review
title Promising Biomarkers of Radiation-Induced Lung Injury: A Review
title_full Promising Biomarkers of Radiation-Induced Lung Injury: A Review
title_fullStr Promising Biomarkers of Radiation-Induced Lung Injury: A Review
title_full_unstemmed Promising Biomarkers of Radiation-Induced Lung Injury: A Review
title_short Promising Biomarkers of Radiation-Induced Lung Injury: A Review
title_sort promising biomarkers of radiation-induced lung injury: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470495/
https://www.ncbi.nlm.nih.gov/pubmed/34572367
http://dx.doi.org/10.3390/biomedicines9091181
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