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Role of postoperative radiotherapy in pT3N0 rectal cancer: A risk‐stratification system based on population analyses

机译:术后放疗在pT3N0直肠癌中的作用:基于人群分析的风险分层系统

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摘要

The impact of adjuvant radiotherapy in pT3N0 rectal cancer is controversial. We aimed to determine the risk factors for cancer‐specific survival (CSS) among these patients and to develop a risk‐stratification system to identify which of these patients would benefit from adjuvant radiotherapy. In this review of the Surveillance, Epidemiology, and End Results database (2010‐2014), we analyzed the data of pT3N0 rectal cancer patients who had not undergone neoadjuvant radiotherapy. Prognostic factors were identified using the Cox proportional hazards model, and risk scores were derived according to the β regression coefficient. A total of 1021 patients were identified from the database search. The overall 5‐year CSS was 86.31%. Multivariate analysis showed that age (P < 0.001), tumor differentiation (P = 0.044), number of nodes resected (P = 0.032), marital status (P = 0.005), and radiotherapy (P = 0.006) were independent prognostic factors for CSS. A risk‐stratification system composed of age, tumor differentiation, and number of nodes resected was generated. Low‐risk patients had better CSS than high‐risk patients (92.13% vs 72.55%, P < 0.001). The addition of radiotherapy to surgery doubled the CSS among the high‐risk patients (42.06% vs 91.26%, P = 0.001) but produced no survival benefit among the low‐risk patients (93.36% vs 96.38%, P = 0.182). Our risk‐stratification model based on age, tumor differentiation, and number of nodes resected predicted the outcomes of pT3N0 rectal cancer patients. This model could help identify patients who may benefit from adjuvant radiotherapy.
机译:辅助放疗对pT3N0直肠癌的影响尚存争议。我们旨在确定这些患者中癌症特异性生存(CSS)的危险因素,并开发一种风险分层系统,以确定哪些患者将从辅助放疗中受益。在对监测,流行病学和最终结果数据库(2010-2014)的审查中,我们分析了未接受新辅助放疗的pT3N0直肠癌患者的数据。使用Cox比例风险模型确定预后因素,并根据β回归系数得出风险评分。从数据库搜索中总共鉴定出1021名患者。总体5年CSS率为86.31%。多因素分析显示年龄(P <0.001),肿瘤分化(P = 0.044),切除的淋巴结数目(P = 0.032),婚姻状况(P = 0.005)和放疗(P = 0.006)是CSS的独立预后因素。生成了一个由年龄,肿瘤分化和切除的结节数组成的风险分层系统。低风险患者的CSS优于高风险患者(92.13%vs 72.55%,P <0.001)。手术中放疗的增加使高危患者的CSS增加了一倍(42.06%vs 91.26%,P = 0.001),但对低危患者却没有生存优势(93.36%vs 96.38%,P = 0.182)。我们基于年龄,肿瘤分化和切除的淋巴结数目的风险分层模型预测了pT3N0直肠癌患者的结局。该模型可以帮助确定可能从辅助放疗中受益的患者。

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