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预测食管腺癌患者对新辅助化疗的反应。

Predicting response to neoadjuvant chemotherapy in patients with oesophageal adenocarcinoma.

机构信息

Department of Upper Gastrointestinal and General Surgery, St Thomas' Hospital, London, UK.

School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.

出版信息

Acta Oncol. 2021 Dec;60(12):1629-1636. doi: 10.1080/0284186X.2021.1986228. Epub 2021 Oct 6.

DOI:10.1080/0284186X.2021.1986228
PMID:34613874
Abstract

BACKGROUND

Neoadjuvant chemotherapy is often used prior to surgical resection for oesophageal adenocarcinoma but remains ineffective in a high proportion of patients. The histological Mandard tumour regression grade is used to determine chemoresponse but is not available at the time of treatment decision-making. The aim of this cohort study was to identify factors that predict chemotherapy response prior to surgery.

METHODS

A prospectively collected database of patients undergoing surgical resection for oesophageal adenocarcinoma from a high-volume UK institution was used. Patients were subcategorised using pathological tumour response into 'responders' (Mandard grade 1-3) and 'non-responders' (Mandard grade 4 and 5). Multivariable logistic regression analysis was performed to calculate crude and adjusted odds ratios (OR) with 95% confidence intervals (CI) for responder status adjusting for a variety of parameters. Receiver operating characteristic (ROC) curves were calculated.

RESULTS

Among 315 patients included, 102 (32%) were responders and 213 (68%) non-responders. A decrease in radiological tumour volume (OR 1.92 95%CI 1.02-3.62;  = 0.05), a 'partial response' RECIST score (OR 7.16 95%CI 1.49-34.36;  = 0.01), a clinically improved dysphagia score (OR 2.79 95%CI 1.05-7.04;  = 0.04) and lymphovascular invasion (OR 0.06 95%CI 0.02-0.13;  = 0.000) influenced responder status. ROC curve analysis for responder status utilising all available parameters had an area under the curve (AUC) of 0.86.

CONCLUSION

This study has highlighted the potential for using pre-defined factors to identify those patients who have responded to neoadjuvant chemotherapy, prior to surgical resection, potentially facilitating a more individualised therapeutic approach.

摘要

背景

新辅助化疗常用于食管腺癌的手术切除前,但在很大一部分患者中仍然无效。组织学 Mandard 肿瘤消退分级用于确定化疗反应,但在治疗决策时无法获得。本队列研究的目的是确定在手术前预测化疗反应的因素。

方法

使用来自英国一家大容量机构的接受食管腺癌手术切除的患者前瞻性收集的数据库。根据病理肿瘤反应,将患者分为“应答者”(Mandard 分级 1-3)和“非应答者”(Mandard 分级 4 和 5)。多变量逻辑回归分析用于计算调整各种参数后的应答者状态的粗比值比(OR)和调整比值比(OR),95%置信区间(CI)。计算了接收器操作特征(ROC)曲线。

结果

在纳入的 315 名患者中,102 名(32%)为应答者,213 名(68%)为非应答者。影像学肿瘤体积减少(OR 1.92,95%CI 1.02-3.62;=0.05)、“部分缓解”RECIST 评分(OR 7.16,95%CI 1.49-34.36;=0.01)、临床改善的吞咽困难评分(OR 2.79,95%CI 1.05-7.04;=0.04)和血管侵犯(OR 0.06,95%CI 0.02-0.13;=0.000)影响应答者状态。利用所有可用参数的应答者状态的 ROC 曲线分析的曲线下面积(AUC)为 0.86。

结论

本研究强调了利用预先定义的因素来识别那些对新辅助化疗有反应的患者的潜力,这些患者在手术切除前,可能有助于更个体化的治疗方法。

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