预测巴雷特食管肿瘤进展。

Jean S Wang, Marcia I Canto
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摘要

Barrett食管患者患食管腺癌的风险明显增加,是普通人群的40-125倍。由于只有一小部分巴雷特食管患者会发展为食管腺癌,因此有必要开发标志物,以准确预测哪些巴雷特食管患者可能患有侵袭性疾病并发展为癌症,哪些患者将保持组织学稳定并具有良性病程。这将允许对Barrett食管患者进行更好的风险分层,以便针对肿瘤进展风险最高的患者进行积极的监测和干预。因此,预测性生物标志物可能在巴雷特食管患者的治疗中具有重要的临床应用价值。在食管活检中检测不典型增生是目前临床实践中唯一的标准方法,作为癌症风险增加的标志。然而,不典型增生并不是预测恶性进展的准确或可靠的标志,并且在病理学家和抽样误差之间存在较差的观察者之间的一致性。多年来,人们研究了许多潜在的生物标志物。很可能预测Barrett食管患者食管腺癌进展的最佳模型最终将包括生物标志物、发育不良等级和其他病理特征,以及临床和人口统计学属性的组合。在这篇综述中,我们将讨论到目前为止研究的最有前途的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Predicting Neoplastic Progression in Barrett's Esophagus.

Predicting Neoplastic Progression in Barrett's Esophagus.

Patients with Barrett's esophagus have a significantly increased risk of esophageal adenocarcinoma, 40-125 times higher than the general population. Since only a small fraction of Barrett's esophagus patients will actually progress to esophageal adenocarcinoma, there is a need to develop markers that may accurately predict which patients with Barrett's esophagus are likely to have aggressive disease and progress to cancer versus patients who will remain histologically stable and have a benign course. This would allow for better risk stratification of patients with Barrett's esophagus in order to target aggressive surveillance and intervention towards only those patients at highest risk for neoplastic progression. Predictive biomarkers may thus have significant clinical utility in the management of Barrett's esophagus patients. The detection of dysplasia in esophageal biopsies is currently the only standard method used in clinical practice as a marker for increased risk of cancer. However, dysplasia has not been a accurate or reliable marker for predicting malignant progression and suffers from poor interobserver agreement among pathologists and sampling error. A multitude of potential biomarkers have been studied over the years. It is likely that the best model for predicting progression to esophageal adenocarcinoma in Barrett's esophagus patients will ultimately involve a combination of biomarkers, dysplasia grade and other pathological characteristics, as well as clinical and demographic attributes. In this review, we will discuss the most promising biomarkers that have been studied thus far.

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