Accuracy of Predicting Residual Disease and Disease Progression During Active Surveillance for Esophageal Cancer.

IF 3.5 2区 医学 Q2 ONCOLOGY
Sanjiv S G Gangaram Panday, David van Klaveren, Sjoerd M Lagarde, Hester F Lingsma, Bianca Mostert, Peter-Paul L O Coene, Jan Willem T Dekker, Henk H Hartgrink, Joos Heisterkamp, Merlijn Hutteman, Ewout A Kouwenhoven, Grard A P Nieuwenhuijzen, Jean-Pierre Pierie, Johanna W van Sandick, Meindert N Sosef, Edwin S van der Zaag, J Jan B van Lanschot, Bas P L Wijnhoven
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Abstract

Background: To date, active surveillance has been non-inferior to standard surgery for patients with esophageal cancer, achieving a clinical complete response (CCR) after neoadjuvant chemoradiotherapy (nCRT). However, two thirds of patients have residual disease detected 12 weeks after nCRT and undergo surgery. At 12 weeks, nearly half of the patients with CCR will experience locoregional regrowth. This study aimed to identify routine predictive factors for achieving (sustained) CCR to improve patient selection for active surveillance.

Methods: Data from the SANO trial were analyzed, including data of patients who underwent nCRT for esophageal cancer. Logistic regression assessed predictors of CCR at 12 weeks, with potential factors including age, sex, WHO performance status, clinical T and N categories, histology, differentiation grade, tumor location, and tumor length. For patients with CCR in active surveillance, cause-specific proportional hazards regression identified predictors of sustained CCR (no locoregional regrowth, dissemination, or death) during a minimum 3-year follow-up period. Discrimination was quantified using the concordance statistic (c-statistic) with bootstrap validation.

Results: Of 750 patients, 274 (37 %) achieved CCR at 12 weeks. Higher cN category was associated with lower likelihood of CCR (cN2-3 vs cN0: odds ratio [OR], 0.57; 95 % confidence interval [CI], 0.37-0.88; P < 0.01; c-statistic, 0.56). Among 198 patients in active surveillance, 25 % had sustained CCR after a median follow-up period of 54 months (interquartile range [IQR],46-58 months). Higher cN category (cN2-3 vs cN0; HR, 2.08; 95 % CI, 1.25-3.48; P < 0.01) was associated with non-sustained CCR (c-statistic, 0.58).

Conclusion: Standard clinical parameters poorly predict clinical response after nCRT. Additional predictive parameters and better diagnostic tests are needed to improve patient selection for active surveillance.

在食管癌主动监测中预测残留病变和疾病进展的准确性。
背景:到目前为止,主动监测在食管癌患者中并不亚于标准手术,在新辅助放化疗(nCRT)后实现了临床完全缓解(CCR)。然而,三分之二的患者在nCRT后12周发现残留疾病并进行手术。在12周时,近一半的CCR患者将经历局部区域再生。本研究旨在确定实现(持续)CCR的常规预测因素,以改善患者对主动监测的选择。方法:对来自SANO试验的数据进行分析,包括食管癌患者接受非crt治疗的数据。Logistic回归评估了12周时CCR的预测因素,潜在因素包括年龄、性别、WHO表现状态、临床T和N分类、组织学、分化等级、肿瘤位置和肿瘤长度。对于主动监测的CCR患者,病因特异性比例风险回归确定了至少3年随访期间持续CCR(无局部再生、传播或死亡)的预测因子。采用自举验证的一致性统计量(c-statistic)对判别进行量化。结果:750例患者中,274例(37%)在12周时达到CCR。cN分类越高,发生CCR的可能性越低(cN2-3 vs cN0:比值比[OR], 0.57; 95%可信区间[CI], 0.37-0.88; P < 0.01; c-statistic, 0.56)。在198例积极监测的患者中,25%的患者在中位随访54个月(四分位间距[IQR],46-58个月)后持续CCR。高cN分型(cN2-3 vs cN0; HR, 2.08; 95% CI, 1.25-3.48; P < 0.01)与非持续性CCR相关(c-statistic, 0.58)。结论:标准临床参数难以预测nCRT术后的临床反应。需要额外的预测参数和更好的诊断测试来改善主动监测患者的选择。
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来源期刊
CiteScore
5.90
自引率
10.80%
发文量
1698
审稿时长
2.8 months
期刊介绍: The Annals of Surgical Oncology is the official journal of The Society of Surgical Oncology and is published for the Society by Springer. The Annals publishes original and educational manuscripts about oncology for surgeons from all specialities in academic and community settings.
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