Abstract 2376: Diagnostic and predictive biomarkers of radiation pneumonitis

Marshleen Yadav, Joseph Liu, Zahida Qamri, Naduparambil K. Jacob
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引用次数: 0

Abstract

Increased rates of treatment failure in lung cancer patients necessitate treatment with high doses of radiation, which often cause toxicities. However, normal tissue injury in lung may manifest as acute toxicities or as delayed radiation pneumonitis. Identification of early indicators of delayed toxicities will allow timely management and mitigation. In present study, using mouse model, we identified a set of circulating microRNAs as biomarkers that potentially allow early detection of radiation induced lung injury such as inflammation and pneumonitis. Longitudinal analysis of serum samples collected from mice exposed to whole thorax lung irradiation (WTLI) allowed discovery of a panel of evolutionary conserved miRNAs that are potential predictors of radiation pneumonitis. Among these, miR21 and miR29a, miR130a, and miR19a were found peaked between 2-4 weeks after radiation, while miR146a exhibited a peculiar biphasic expression. Some of these changes were found to be associated with concomitant changes in anti- and pro-inflammatory serum cytokines. Several of the biomarkers identified in WTLI model, showed overlapping response in a bleomycin mouse model of acute lung injury. We further tested the translational utility of these biomarkers in single drop blood collected from mice using a validated internal normalizer, miR23a (Yadav et al., Science Translational Medicine, 2020, PMID: 32669422). The response noted for several of the candidate biomarkers identified in mouse model are conserved in specimens collected from human patients who received radiation therapy. In conclusion, our study has identified a panel of microRNA biomarkers with potential to develop as early predictor of pulmonary toxicities in patients receiving therapeutic radiation, and in victims of radiation accidents for timely mitigation. Citation Format: Marshleen Yadav, Joseph Liu, Zahida Qamri, Naduparambil K. Jacob. Diagnostic and predictive biomarkers of radiation pneumonitis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2376.
2376:放射性肺炎的诊断和预测生物标志物
肺癌患者治疗失败率的增加需要高剂量的辐射治疗,这通常会引起毒性。然而,肺正常组织损伤可表现为急性毒性或延迟性放射性肺炎。确定延迟毒性的早期指标将有助于及时管理和缓解。在本研究中,我们利用小鼠模型确定了一组循环microrna作为生物标志物,可能允许早期检测辐射引起的肺损伤,如炎症和肺炎。对全胸肺照射(WTLI)小鼠采集的血清样本进行纵向分析,发现了一组进化保守的mirna,它们是放射性肺炎的潜在预测因子。其中,miR21和miR29a、miR130a、miR19a在放疗后2-4周达到峰值,而miR146a表现出特殊的双相表达。其中一些变化被发现与抗炎和促炎血清细胞因子的伴随变化有关。在WTLI模型中发现的几种生物标志物在博来霉素小鼠急性肺损伤模型中表现出重叠反应。我们使用经过验证的内部正常化物miR23a进一步测试了这些生物标志物在小鼠单滴血中的转化效用(Yadav et al., Science translational Medicine, 2020, PMID: 32669422)。在小鼠模型中发现的几种候选生物标志物的反应在接受放射治疗的人类患者收集的标本中是保守的。总之,我们的研究已经确定了一组microRNA生物标志物,它们有可能成为接受放射治疗的患者和辐射事故受害者肺毒性的早期预测因子,以便及时缓解。引用格式:Marshleen Yadav, Joseph Liu, Zahida Qamri, Naduparambil K. Jacob。放射性肺炎的诊断和预测生物标志物[摘要]。见:美国癌症研究协会2021年年会论文集;2021年4月10日至15日和5月17日至21日。费城(PA): AACR;癌症杂志,2021;81(13 -增刊):摘要nr 2376。
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