医学
肺癌
放射治疗
肺炎
放射性肺炎
重症监护医学
限制
肺
生物标志物
肿瘤科
外科
内科学
生物
生物化学
机械工程
工程类
作者
Xinglong Liu,Chunlin Shao,Jiamei Fu
出处
期刊:Biomedicines
[MDPI AG]
日期:2021-09-08
卷期号:9 (9): 1181-1181
被引量:65
标识
DOI:10.3390/biomedicines9091181
摘要
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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