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Percepta GSC 用于肺癌评估的临床验证和实用性。

Clinical validation and utility of Percepta GSC for the evaluation of lung cancer.

机构信息

Department of Pulmonary Medicine, Cleveland Clinic, Respiratory Institute, Cleveland, OH, United States of America.

Division of Pulmonary and Critical Care, Wake Forest Baptist Health, Winston-Salem, NC, United States of America.

出版信息

PLoS One. 2022 Jul 13;17(7):e0268567. doi: 10.1371/journal.pone.0268567. eCollection 2022.

Abstract

The Percepta Genomic Sequencing Classifier (GSC) was developed to up-classify as well as down-classify the risk of malignancy for lung lesions when bronchoscopy is non-diagnostic. We evaluated the performance of Percepta GSC in risk re-classification of indeterminate lung lesions. This multicenter study included individuals who currently or formerly smoked undergoing bronchoscopy for suspected lung cancer from the AEGIS I/ II cohorts and the Percepta Registry. The classifier was measured in normal-appearing bronchial epithelium from bronchial brushings. The sensitivity, specificity, and predictive values were calculated using predefined thresholds. The ability of the classifier to decrease unnecessary invasive procedures was estimated. A set of 412 patients were included in the validation (prevalence of malignancy was 39.6%). Overall, 29% of intermediate-risk lung lesions were down-classified to low-risk with a 91.0% negative predictive value (NPV) and 12.2% of intermediate-risk lesions were up-classified to high-risk with a 65.4% positive predictive value (PPV). In addition, 54.5% of low-risk lesions were down-classified to very low risk with >99% NPV and 27.3% of high-risk lesions were up-classified to very high risk with a 91.5% PPV. If the classifier results were used in nodule management, 50% of patients with benign lesions and 29% of patients with malignant lesions undergoing additional invasive procedures could have avoided these procedures. The Percepta GSC is highly accurate as both a rule-out and rule-in test. This high accuracy of risk re-classification may lead to improved management of lung lesions.

摘要

Percepta 基因组测序分类器 (GSC) 旨在提高和降低支气管镜检查非诊断性肺病变的恶性肿瘤风险。我们评估了 Percepta GSC 在不确定肺病变风险再分类中的性能。这项多中心研究包括来自 AEGIS I/II 队列和 Percepta 注册中心的当前或以前吸烟的疑似肺癌患者。分类器在支气管刷取的正常支气管上皮中进行测量。使用预定义的阈值计算敏感性、特异性和预测值。估计分类器减少不必要的侵入性程序的能力。一组 412 例患者纳入验证(恶性肿瘤患病率为 39.6%)。总体而言,29%的中度风险肺病变被降级为低风险,阴性预测值 (NPV) 为 91.0%,12.2%的中度风险病变被升级为高风险,阳性预测值 (PPV) 为 65.4%。此外,54.5%的低风险病变被降级为极低风险,NPV 超过 99%,27.3%的高风险病变被升级为极高风险,PPV 为 91.5%。如果在结节管理中使用分类器结果,可以避免 50%良性病变和 29%恶性病变患者进行额外的侵入性程序。Percepta GSC 作为排除和纳入测试均具有高度准确性。这种风险再分类的高度准确性可能会改善肺病变的管理。

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