Laun Sarah E, Kann Lisa, Braun Jerome, Pierre Francia, Kim Suji, Gilbert Stacey, Lunz Daniel, Kalra Andrew, Ma Ke, Cheng Yulan, Leggett Cadman L, Zaidi Ali H, Omstead Ashten N, Korman Louis, Jobe Blair, Perpetua Lorrie, Greenwald Bruce D, Maddala Tara, Meltzer Stephen J
Previse, Baltimore, Maryland, USA.
Department of Medicine, Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Am J Gastroenterol. 2025 Feb 12;120(6):1285-1295. doi: 10.14309/ajg.0000000000003367.
Barrett esophagus (BE) is the strongest known risk factor for developing esophageal adenocarcinoma (EAC), the second-most lethal cancer in the United States. Esopredict is a novel validated methylation-based biomarker assay that provides precise quantification of neoplastic progression risk in BE patients. Inherit challenges, including tissue heterogeneity, sampling error, interobserver variability, and inconsistent adherence to surveillance biopsy guidelines, may affect the predictive value results of Esopredict obtained at different anatomic locations or different sampling time points.
To investigate the spatiotemporal performance of Esopredict across multiple spatiotemporal sampling points, we profiled 220 biopsies obtained from 58 BE patients, including 11 patients with overlapping spatial and temporal biopsies. We focused on spatial profiling (i.e., multiple biopsies obtained at several anatomic locations during a single endoscopy) and temporal profiling (i.e., biopsies obtained from multiple endoscopies performed at different time points). Each patient had an initial histologic diagnosis of nondysplastic Barrett esophagus, indefinite for dysplasia, or low-grade dysplasia. Final follow-up (endpoint) biopsies showed either high-grade dysplasia or EAC (progressors), or nondysplastic Barrett esophagus, indefinite for dysplasia, or low-grade dysplasia (nonprogressors). Biopsies were analyzed with Esopredict to compute a progression risk score, which quantified the likelihood of future progression to high-grade dysplasia or EAC within 5 years.
In 52 spatially profiled patients, Esopredict demonstrated a sensitivity of 81% (17/21 progressor patients), based on the highest-scoring biopsy from each patient; sensitivity increased to 100% (12/12) when end point biopsies occurred within 5 years of the index (initial) biopsy. In 28 temporally profiled patients, sensitivity was 100% (8/8 patients), based on the biopsy performed at the time point closest to the end point biopsy.
Esopredict showed high predictive performance in multiple spatiotemporal samples in BE patients. These data further support the use of Esopredict as a robust test to distinguish high-risk BE patients, who may benefit from endoscopic eradication therapy or increased surveillance frequency, from low-risk patients, who may be candidates for less frequent surveillance and noninterventional observation.
巴雷特食管(BE)是已知的发生食管腺癌(EAC)的最强风险因素,食管腺癌是美国第二大致命性癌症。Esopredict是一种经过验证的基于甲基化的新型生物标志物检测方法,可精确量化BE患者发生肿瘤进展的风险。包括组织异质性、采样误差、观察者间差异以及对监测活检指南的依从性不一致等内在挑战,可能会影响在不同解剖位置或不同采样时间点获得的Esopredict预测价值结果。
为了研究Esopredict在多个时空采样点的时空性能,我们对从58例BE患者获取的220份活检样本进行了分析,其中包括11例有重叠时空活检样本的患者。我们重点关注空间分析(即在单次内镜检查期间从几个解剖位置获取多个活检样本)和时间分析(即从在不同时间点进行的多次内镜检查中获取活检样本)。每位患者最初的组织学诊断为无发育异常的巴雷特食管、发育异常不明确或低级别发育异常。最终随访(终点)活检显示为高级别发育异常或食管腺癌(进展者),或无发育异常的巴雷特食管、发育异常不明确或低级别发育异常(非进展者)。使用Esopredict对活检样本进行分析以计算进展风险评分,该评分量化了未来5年内进展为高级别发育异常或食管腺癌的可能性。
在52例进行空间分析的患者中,基于每位患者得分最高的活检样本,Esopredict显示出81%(17/21例进展者患者)的敏感性;当终点活检在索引(初始)活检后5年内进行时,敏感性增至100%(12/12)。在28例进行时间分析的患者中,基于最接近终点活检时间点的活检样本,敏感性为100%(8/8例患者)。
Esopredict在BE患者的多个时空样本中显示出较高的预测性能。这些数据进一步支持将Esopredict用作一种可靠的检测方法,以区分可能从内镜根除治疗或增加监测频率中获益的高风险BE患者与可能适合减少监测频率和非介入性观察的低风险患者。