Journal
BIOMEDICINES
Volume 9, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/biomedicines9091181
Keywords
radiation-induced lung injury; signaling pathways; animal models; biomarkers
Categories
Funding
- National Natural Science Foundation of China [81903258, 31770910]
- Shanghai Pulmonary Hospital Talents Plan [fkyq1904]
- Shanghai Science and Technology Commission [19411950902]
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RILI is a major dose-limiting side effect in thoracic cancer patients during radiotherapy, with no reliable predictors or accurate risk models currently available. Early diagnosis is crucial to overcome this issue, and the development of integrated models and further prospective research are encouraged.
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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