Abstract 4218: Validation of a new blood-based biomarker strategy for the early detection of lung cancer

M. Kammer, Amanda K. Kussrow, S. Antic, R. Nguyen, Heidi Chen, D. Bornhop, P. Massion
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引用次数: 0

Abstract

Rationale: The management of indeterminate pulmonary nodules (IPNs) remains a challenging problem. Our new assay methodology, the Free Solution Assay (FSA), measured by the Compensated Interferometric Reader (CIR), consisting of a diode laser, capillary and CCD, provides 40-fold lower limits of quantitation (LOQ) than ELISA for known candidate serum protein biomarkers, while speeding assay development, accuracy, and sensitivity. We hypothesized that lowering the LOQ of previously investigated biomarkers can increase the biomarker discriminatory power, enabling patients in an intermediate risk group (15-80%) to be reclassified into a low ( 80) risk group. Methods: In this retrospective case-control study, FSA-CIR was used to measure the serum concentration of CYFRA 21-1 in two patient cohorts, a training cohort (N=274) of patients with IPNs collected at Vanderbilt University Medical Center and an external validation cohort (N=103) collected at the University of Pittsburgh Medical Center. Patient malignancy was determined by tissue biopsy or 2-year follow-up CT scan showing no signs of nodule growth. Baseline risk for cancer was calculated using nodule size. The added value of CYFRA 21-1 was assessed by comparing the difference in risk for lung cancer after incorporating CYFRA 21-1 into the model. Results: The limit of detection (LOD) of 6pg/mL and an average LOQ for standards was determined to be 60pg/mL. Patient samples in the training cohort were found to have CYFRA 21-1 concentrations ranging 100 pg/mL to 10 ng/mL, with a median of 0.79 (0.28-1.22, interquartile range) ng/mL in the control population and 1.90 (1.33-3.35) ng/mL in the case population, providing a ROC-AUC of 0.86 across three histological subtypes (adenocarcinoma, squamous cell carcinoma, and small cell lung cancer). The CYFRA 21-1 + nodule size risk model correctly reclassified 28 (25%) [DB1] of intermediate-risk benign nodules into the low-risk group and 28(24%) of intermediate-risk malignant nodules into the high-risk group. The independent validation cohort’s controls had a median of 0.35 (0.20-0.56) ng/mL, while cases had 0.97(0.66-1.22) ng/mL, providing a ROC-AUC of 0.84 and correct reclassification of 12(34%) of intermediate-risk benign nodules and 6(15%) of intermediate-risk malignant nodules. The CYFRA 21-1 + nodule size risk model correctly classified 90.6% in the low-risk group and 87.0% in the high-risk group. Conclusions: FSA-CIR measurements requiring only a few microliters of serum allowed for reclassification of patients in the intermediate risk group in both the training and validation cohorts. The results suggest that CYFRA 21-1 measured by FSA-CIR represents a strong candidate biomarker for risk stratification of patients with IPNs. Citation Format: Michael N. Kammer, Amanda K. Kussrow, Sanja L. Antic, Rina Nguyen, Heidi Chen, Darryl J. Bornhop, Pierre P. Massion. Validation of a new blood-based biomarker strategy for the early detection of lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4218.
4218:一种新的基于血液的生物标志物早期检测肺癌策略的验证
理由:不确定肺结节(ipn)的治疗仍然是一个具有挑战性的问题。我们的新检测方法,自由溶液检测(FSA),由补偿干涉读取器(CIR)测量,由二极管激光,毛细管和CCD组成,为已知候选血清蛋白生物标志物提供了比ELISA低40倍的定量限(LOQ),同时加快了检测开发,准确性和灵敏度。我们假设降低先前研究的生物标志物的LOQ可以增加生物标志物的区分能力,使中等风险组(15-80%)的患者重新分类为低风险组(80)。方法:在这项回顾性病例对照研究中,采用FSA-CIR方法测量两个患者队列的血清CYFRA 21-1浓度,一个是来自范德比尔特大学医学中心的IPNs患者培训队列(N=274),另一个是来自匹兹堡大学医学中心的外部验证队列(N=103)。患者通过组织活检或随访2年的CT扫描确定恶性肿瘤,未见结节生长迹象。根据结节大小计算基线癌症风险。通过比较将CYFRA 21-1纳入模型后肺癌风险的差异来评估CYFRA 21-1的附加值。结果:检测限(LOD)为6pg/mL,标准品平均LOQ为60pg/mL。训练队列患者样本中CYFRA 21-1浓度范围为100 pg/mL至10 ng/mL,对照组人群中位值为0.79(0.28-1.22,四分位数范围)ng/mL,病例人群中位值为1.90 (1.33-3.35)ng/mL,三种组织学亚型(腺癌、鳞状细胞癌和小细胞肺癌)的ROC-AUC为0.86。CYFRA 21-1 +结节大小风险模型正确地将28例(25%)[DB1]中危良性结节重新划分为低危组,将28例(24%)中危恶性结节重新划分为高危组。独立验证队列的对照组中位数为0.35 (0.20-0.56)ng/mL,而病例中位数为0.97(0.66-1.22)ng/mL, ROC-AUC为0.84,正确重新分类了12例(34%)中危良性结节和6例(15%)中危恶性结节。CYFRA 21-1 +结节大小风险模型正确分类低危组90.6%,高危组87.0%。结论:在训练和验证队列中,仅需要几微升血清的FSA-CIR测量就可以将患者重新分类为中等风险组。结果表明,FSA-CIR测量的CYFRA 21-1是IPNs患者风险分层的强有力的候选生物标志物。引文格式:Michael N. Kammer, Amanda K. Kussrow, Sanja L. Antic, Rina Nguyen, Heidi Chen, Darryl J. Bornhop, Pierre P. Massion。一种新的基于血液的生物标志物早期检测肺癌策略的验证[摘要]。摘自:2019年美国癌症研究协会年会论文集;2019年3月29日至4月3日;亚特兰大,乔治亚州。费城(PA): AACR;癌症杂志,2019;79(13增刊):摘要nr 4218。
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