Lorimer Patrick D, Motz Benjamin M, Kirks Russell C, Boselli Danielle M, Walsh Kendall K, Prabhu Roshan S, Hill Joshua S, Salo Jonathan C
Division of Surgical Oncology, Department of Surgery, Carolinas Medical Center, Levine Cancer Institute, Charlotte, NC, USA.
Department of Biostatistics, Carolinas Medical Center, Levine Cancer Institute, Charlotte, NC, USA.
Ann Surg Oncol. 2017 Aug;24(8):2095-2103. doi: 10.1245/s10434-017-5873-8. Epub 2017 May 22.
Pathologic complete response (pCR) of rectal cancer following neoadjuvant therapy is associated with decreased local recurrence and increased overall survival. This study utilizes a national dataset to identify predictors of pCR in patients with rectal cancer.
The National Cancer Database was queried for patients with nonmetastatic rectal cancer (2004-2014) who underwent neoadjuvant therapy and surgical resection. Unadjusted associations were assessed using rank-sum tests and χ tests where appropriate. Backward elimination and forward selection multivariable logistic regression models were created to determine the relationship of annual surgical volume with pCR rate, adjusting for preoperative characteristics and radiation-surgery interval. Statistical tests were two-sided, with a significance level of p ≤ 0.05. Analyses were performed using SAS version 9.4.
A total of 27,532 patients from 1179 participating hospitals met the inclusion criteria. Generalized linear mixed models demonstrated that the odds of achieving pCR was independently associated with more recent diagnosis, female sex, private insurance, lower grade, lower clinical T classification, lower clinical N classification, increasing interval between the end of radiation and surgery, and treatment at higher-volume institutions.
pCR was associated with favorable tumor factors, insurance status, time between radiation and surgery, and institutional volume. It is not clear what is driving the higher rates of pCR at high-volume institutions. Research targeted at understanding processes that are associated with pCR in high-volume institutions is needed so that similar results can be achieved across the spectrum of facilities caring for patients in this population.
新辅助治疗后直肠癌的病理完全缓解(pCR)与局部复发减少及总生存期延长相关。本研究利用全国性数据集来确定直肠癌患者pCR的预测因素。
查询国家癌症数据库中接受新辅助治疗和手术切除的非转移性直肠癌患者(2004 - 2014年)。在适当情况下,使用秩和检验和χ检验评估未调整的关联。创建向后消除和向前选择多变量逻辑回归模型,以确定年度手术量与pCR率的关系,并对术前特征和放疗 - 手术间隔进行调整。统计检验为双侧检验,显著性水平为p≤0.05。使用SAS 9.4版进行分析。
来自1179家参与医院的总共27532名患者符合纳入标准。广义线性混合模型表明,实现pCR的几率与更近的诊断、女性、私人保险、低分级、较低的临床T分类、较低的临床N分类、放疗结束与手术之间间隔增加以及在手术量大的机构接受治疗独立相关。
pCR与良好的肿瘤因素、保险状况、放疗与手术之间的时间以及机构手术量相关。尚不清楚手术量大的机构中pCR率较高的驱动因素是什么。需要开展针对性研究以了解与手术量大的机构中pCR相关的过程,以便在照顾该人群患者的各类医疗机构中都能取得类似结果。