Prognostic nomogram for T3-T4 primary colorectal cancer patients with perineural invasion after surgery: a Surveillance, Epidemiology, and End Results program database analysis.

IF 2 4区 医学 Q3 GASTROENTEROLOGY & HEPATOLOGY
Journal of gastrointestinal oncology Pub Date : 2025-04-30 Epub Date: 2025-04-27 DOI:10.21037/jgo-24-709
Hui Wu, Xue Liu, Haitao Chen, Qinghua Yao
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引用次数: 0

Abstract

Background: Colorectal cancer (CRC) is a common malignancy, with T3-T4 primary CRC characterized by perineural invasion (PNI), representing an aggressive subtype with poor prognosis. This study aimed to develop and validate prognostic nomograms for predicting overall survival (OS) and cancer-specific survival (CSS) in patients with T3-T4 primary CRC and PNI after surgery.

Methods: Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database, focusing on patients diagnosed with T3-T4 primary CRC and PNI between 2000 and 2019. Eligible patients were randomly divided into training and validation cohorts. Univariate and multivariate Cox regression analyses were conducted to identify independent prognostic factors, which were integrated into nomograms for OS and CSS. The nomograms were assessed using the concordance index (C-index), receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA).

Results: A total of 7,808 patients met the inclusion criteria. Significant prognostic factors identified in the multivariate analysis included age, sex, race, marital status, site, Tumor (T) stage of the Tumor, Node, Metastasis (TNM) staging system, radiation, regional node positive, liver and lung metastasis, tumor size, histologic type, median household income, and SEER summary stage. The nomograms exhibited good predictive accuracy, with C-indexes of 0.7422 for OS in the training cohort and 0.7428 in the validation cohort. The nomograms were validated using ROC curves, calibration plots, and DCA, which confirmed the models' reliability and clinical utility.

Conclusions: The developed nomograms are robust tools for predicting 3-, 5-, and 10-year OS and CSS in patients with T3-T4 primary CRC and PNI after surgery. These tools help clinicians create personalized treatment plans and improve patient outcomes.

术后伴有神经周围侵犯的T3-T4原发性结直肠癌患者的预后图:监测、流行病学和最终结果项目数据库分析
背景:结直肠癌(Colorectal cancer, CRC)是一种常见的恶性肿瘤,T3-T4原发性CRC以神经周围浸润(PNI)为特征,是一种侵袭性亚型,预后较差。本研究旨在开发和验证预测T3-T4原发性结直肠癌和PNI患者术后总生存期(OS)和癌症特异性生存期(CSS)的预后图。方法:从监测、流行病学和最终结果(SEER)数据库中提取数据,重点关注2000年至2019年间诊断为T3-T4原发性CRC和PNI的患者。符合条件的患者被随机分为训练组和验证组。进行单因素和多因素Cox回归分析,以确定独立的预后因素,并将其整合到OS和CSS的nomogram中。采用一致性指数(C-index)、受试者工作特征(ROC)曲线、校准图和决策曲线分析(DCA)对nomogram进行评估。结果:共有7808例患者符合纳入标准。在多因素分析中发现的重要预后因素包括年龄、性别、种族、婚姻状况、部位、肿瘤(T)分期、淋巴结转移(TNM)分期系统、放疗、区域淋巴结阳性、肝和肺转移、肿瘤大小、组织学类型、家庭收入中位数和SEER总结分期。模态图显示出良好的预测准确性,训练队列OS的c指数为0.7422,验证队列OS的c指数为0.7428。采用ROC曲线、校正图和DCA对模态图进行验证,证实了模型的可靠性和临床实用性。结论:开发的线图是预测T3-T4原发性结直肠癌和PNI术后3年、5年和10年OS和CSS的可靠工具。这些工具可以帮助临床医生制定个性化的治疗计划并改善患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.20
自引率
0.00%
发文量
171
期刊介绍: ournal of Gastrointestinal Oncology (Print ISSN 2078-6891; Online ISSN 2219-679X; J Gastrointest Oncol; JGO), the official journal of Society for Gastrointestinal Oncology (SGO), is an open-access, international peer-reviewed journal. It is published quarterly (Sep. 2010- Dec. 2013), bimonthly (Feb. 2014 -) and openly distributed worldwide. JGO publishes manuscripts that focus on updated and practical information about diagnosis, prevention and clinical investigations of gastrointestinal cancer treatment. Specific areas of interest include, but not limited to, multimodality therapy, markers, imaging and tumor biology.
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