...
首页> 外文期刊>Diseases of the Colon and Rectum >Association of the Collagen Signature in the Tumor Microenvironment With Recurrence and Survival of Patients With T4N0M0 Colon Cancer
【24h】

Association of the Collagen Signature in the Tumor Microenvironment With Recurrence and Survival of Patients With T4N0M0 Colon Cancer

机译:肿瘤微环境中胶原蛋白签名与T4N0M0结肠癌患者的复发和存活

获取原文
获取原文并翻译 | 示例
           

摘要

BACKGROUND: The current clinicopathological risk factors do not accurately predict disease recurrence in patients with T4N0M0 colon cancer. We hypothesized that the collagen signature combined with clinicopathological risk factors (new model) had a better prognostic value than clinicopathological risk factors alone (clinicopathological model).OBJECTIVE: This study aimed to establish a collagen signature in the tumor microenvironment and to validate its role in predicting the recurrence of T4N0M0 colon cancer.DESIGN: This was a retrospective study. SETTINGS: This study took place at a tertiary medical center.PATIENTS: Patients with T4N0M0 colon cancer who underwent surgery at our center between 2009 and 2015 (n = 416) were included.INTERVENTION: A total of 142 collagen features were analyzed in the tumor microenvironment in specimens of colon cancer by using second-harmonic generation imaging. A collagen signature was constructed using a least-absolute shrinkage and selection operator Cox regression model.MAIN OUTCOME MEASURES: The primary outcomes measured were disease-free survival and overall survival.RESULTS: The training and testing cohorts consisted of 291 and 125 randomly assigned samples, with recurrence rates of 19.9% and 22.4%. A 3-feature-based collagen signature predicted the recurrence risk at 1, 3, and 5 years, with the area under the receiver-operating characteristic curves of 0.808, 0.832, and 0.791 in the training cohort and 0.836, 0.807, and 0.794 in the testing cohort. Multivariate analysis revealed that the collagen signature could independently predict the disease-free survival (HR = 7.17, p < 0.001) and overall survival rates (HR = 5.03, p < 0.001). The new model had a better prognostic value than the clinicopathological model, which included 4 clinicopathological risk factors: obstruction or perforation, lymphovascular invasion, tumor budding, and no chemotherapy.LIMITATIONS: This study was limited by its retrospective design.CONCLUSIONS: The collagen signature in the tumor microenvironment may be a new prognostic marker that can effectively predict the recurrence and survival of patients with T4N0M0 colon cancer. See Video Abstract at http://links.lww.com/DCR/B503.
机译:背景:目前的临床病理危险因素不能准确预测T4N0M0结肠癌患者的疾病复发。我们假设胶原信号与临床病理风险因素(新模型)相结合比单独的临床病理风险因素(临床病理模型)具有更好的预后价值。目的:本研究旨在建立肿瘤微环境中的胶原信号,并验证其在预测T4N0M0结肠癌复发中的作用。设计:这是一项回顾性研究。背景:这项研究在一家三级医疗中心进行。患者:包括2009年至2015年间在我们中心接受手术的T4N0M0结肠癌患者(n=416)。干预:采用二次谐波成像技术分析结肠癌标本肿瘤微环境中共142个胶原特征。使用最小绝对收缩和选择算子Cox回归模型构建胶原特征。主要观察指标:主要观察指标为无病生存率和总生存率。结果:训练和测试队列包括291和125个随机分配的样本,复发率分别为19.9%和22.4%。基于3个特征的胶原蛋白特征预测了1年、3年和5年的复发风险,在训练队列中,受试者操作特征曲线下的面积为0.808、0.832和0.791,在测试队列中,受试者操作特征曲线下的面积为0.836、0.807和0.794。多变量分析显示,胶原信号可以独立预测无病生存率(HR=7.17,p<0.001)和总生存率(HR=5.03,p<0.001)。新模型比临床病理模型具有更好的预后价值,临床病理模型包括4个临床病理危险因素:阻塞或穿孔、淋巴血管浸润、肿瘤出芽和未化疗。局限性:本研究受回顾性设计的限制。结论:肿瘤微环境中的胶原标志物可能是一种新的预后标志物,可有效预测T4N0M0结肠癌患者的复发和生存。参见视频摘要http://links.lww.com/DCR/B503.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号