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基于监测、流行病学和最终结果(SEER)数据库的直肠癌患者新辅助放化疗后淋巴结转移风险列线图预测模型

A nomogram prediction model for lymph node metastasis risk after neoadjuvant chemoradiotherapy in rectal cancer patients based on SEER database.

作者信息

Liu Xiaoshuang, Sha Li, Huang Cheng, Kong Xiancheng, Yan Feihu, Shi Xiaohui, Tang Xuefeng

机构信息

Department of General Surgery, Shuguang Hospital, Shanghai University of traditional Chinese Medicine, Shanghai, China.

Department of Colorectal Surgery, Shanghai Changhai Hospital, Shanghai, China.

出版信息

Front Oncol. 2023 Feb 27;13:1098087. doi: 10.3389/fonc.2023.1098087. eCollection 2023.

DOI:10.3389/fonc.2023.1098087
PMID:36923430
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10009107/
Abstract

BACKGROUND

Rectal cancer patients who received neoadjuvant chemoradiotherapy (CRT) may have a lower cancer stage and a better prognosis. Some patients may be able to avoid invasive surgery. It is critical to accurately assess lymph node metastases (LNM) after neoadjuvant chemoradiotherapy. The goal of this study is to identify clinical variables associated with LNM and to develop a nomogram for LNM prediction in rectal cancer patients following nCRT.

METHODS

From 2010 to 2015, patients were drawn from the Surveillance, Epidemiology, and End Results (SEER) database. To identify clinical factors associated with LNM, the least absolute shrinkage and selection operator (LASSO) aggression and multivariate logistic regression analyses were used. To predict the likelihood of LNM, a nomogram based on multivariate logistic regression was created using decision curve analyses.

RESLUT

The total number of patients included in this study was 6,388. The proportion of patients with pCR was 17.50% (n=1118), and the proportion of patients with primary tumor pCR was 20.84% (n = 1,331). The primary tumor was pCR in 16.00% (n=213) of the patients. Age, clinical T stage, clinical N stage, and histology were found to be significant independent clinical predictors of LNM using LASSO and multivariate logistic regression analysis. The nomogram was developed based on four clinical factors. The 5-year overall survival rate was 78.9 percent for those with ypN- and 66.3 percent for those with ypN+, respectively (P<0.001).

CONCLUSION

Patients over 60 years old, with clinical T1-2, clinical N0, and adenocarcinoma may be more likely to achieve ypN0. The watch-and-wait (WW) strategy may be considered. Patients who had ypN0 or pCR had a better prognosis.

摘要

背景

接受新辅助放化疗(CRT)的直肠癌患者可能癌症分期较低且预后较好。部分患者可能无需进行侵入性手术。准确评估新辅助放化疗后的淋巴结转移(LNM)至关重要。本研究的目的是确定与LNM相关的临床变量,并为接受nCRT后的直肠癌患者开发LNM预测列线图。

方法

2010年至2015年期间,患者来自监测、流行病学和最终结果(SEER)数据库。为确定与LNM相关的临床因素,采用了最小绝对收缩和选择算子(LASSO)回归和多因素逻辑回归分析。为预测LNM的可能性,使用决策曲线分析创建了基于多因素逻辑回归的列线图。

结果

本研究纳入的患者总数为6388例。病理完全缓解(pCR)患者的比例为17.50%(n = 1118),原发肿瘤pCR患者的比例为20.84%(n = 1331)。16.00%(n = 213)的患者原发肿瘤为pCR。使用LASSO和多因素逻辑回归分析发现,年龄、临床T分期、临床N分期和组织学是LNM的显著独立临床预测因素。列线图基于四个临床因素开发。ypN-患者的5年总生存率为78.9%,ypN+患者的5年总生存率为66.3%(P<0.001)。

结论

60岁以上、临床T1-2、临床N0且为腺癌的患者可能更易达到ypN0。可考虑采用观察等待(WW)策略。达到ypN0或pCR的患者预后较好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/85bbd0209d4d/fonc-13-1098087-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/98610ffce58d/fonc-13-1098087-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/c0845c81fc0d/fonc-13-1098087-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/a6b796d4c40f/fonc-13-1098087-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/2077a007b279/fonc-13-1098087-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/e1ea5fd43ad9/fonc-13-1098087-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/0dc9b656617e/fonc-13-1098087-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/85bbd0209d4d/fonc-13-1098087-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/98610ffce58d/fonc-13-1098087-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/c0845c81fc0d/fonc-13-1098087-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/a6b796d4c40f/fonc-13-1098087-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/2077a007b279/fonc-13-1098087-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/e1ea5fd43ad9/fonc-13-1098087-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/0dc9b656617e/fonc-13-1098087-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/10009107/85bbd0209d4d/fonc-13-1098087-g007.jpg

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本文引用的文献

1
PD-1 Blockade in Mismatch Repair-Deficient, Locally Advanced Rectal Cancer.PD-1 阻断在错配修复缺陷、局部晚期直肠癌中的应用。
N Engl J Med. 2022 Jun 23;386(25):2363-2376. doi: 10.1056/NEJMoa2201445. Epub 2022 Jun 5.
2
Nomogram predicting the cancer-specific survival of early-onset colorectal cancer patients with synchronous liver metastasis: a population-based study.基于人群的研究:预测早发性结直肠癌伴同步肝转移患者癌症特异性生存的列线图。
Int J Colorectal Dis. 2022 Jun;37(6):1309-1319. doi: 10.1007/s00384-022-04175-x. Epub 2022 May 7.
3
Organ Preservation in Patients With Rectal Adenocarcinoma Treated With Total Neoadjuvant Therapy.
直肠癌患者接受全新辅助治疗后的器官保存。
J Clin Oncol. 2022 Aug 10;40(23):2546-2556. doi: 10.1200/JCO.22.00032. Epub 2022 Apr 28.
4
Influence of Old Age on Risk of Lymph Node Metastasis and Survival in Patients With T1 Colorectal Cancer: A Population-Based Analysis.老年对T1期结直肠癌患者淋巴结转移风险及生存的影响:一项基于人群的分析。
Front Oncol. 2021 Oct 13;11:706488. doi: 10.3389/fonc.2021.706488. eCollection 2021.
5
Prevalence of nodal involvement in rectal cancer after chemoradiotherapy.直肠癌放化疗后淋巴结受累的发生率。
Br J Surg. 2021 Oct 23;108(10):1251-1258. doi: 10.1093/bjs/znab194.
6
Association Between Three-Dimensional Transrectal Ultrasound Findings and Tumor Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: An Observational Study.局部晚期直肠癌三维经直肠超声检查结果与新辅助放化疗肿瘤反应之间的关联:一项观察性研究
Front Oncol. 2021 Jun 4;11:648839. doi: 10.3389/fonc.2021.648839. eCollection 2021.
7
A Liquid Biopsy Assay for Noninvasive Identification of Lymph Node Metastases in T1 Colorectal Cancer.液体活检在 T1 结直肠癌中用于非侵入性识别淋巴结转移的检测。
Gastroenterology. 2021 Jul;161(1):151-162.e1. doi: 10.1053/j.gastro.2021.03.062. Epub 2021 Apr 2.
8
Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.人工智能系统判断 T1 结直肠癌淋巴结转移风险
Gastroenterology. 2021 Mar;160(4):1075-1084.e2. doi: 10.1053/j.gastro.2020.09.027. Epub 2020 Sep 24.
9
NCCN Guidelines Insights: Rectal Cancer, Version 6.2020.NCCN 指南解读:直肠癌,第 6 版,2020 年。
J Natl Compr Canc Netw. 2020 Jul;18(7):806-815. doi: 10.6004/jnccn.2020.0032.
10
Oncological Outcomes and Hospital Costs of the Treatment in Patients With Rectal Cancer: Watch-and-Wait Policy and Standard Surgical Treatment.直肠癌患者的治疗的肿瘤学结果和医院费用:观察等待策略和标准手术治疗。
Dis Colon Rectum. 2020 May;63(5):598-605. doi: 10.1097/DCR.0000000000001594.