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为既往接受过肺腺癌切除术的患者的异时性第二原发性肺腺癌建立类似TNM的风险分类。

Establishing a TNM-like risk classification for metachronous second pulmonary adenocarcinoma in patients with previously resected pulmonary adenocarcinoma.

作者信息

Fu Shen-Shen, Zheng Yu-Zhen, Qin Xian-Yu, Yang Xing-Ping, Shen Piao, Cai Wei-Jie, Li Xiao-Qiang, Liao Hong-Ying

机构信息

Department of Ultrasonography, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China.

Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

出版信息

J Thorac Dis. 2022 May;14(5):1306-1318. doi: 10.21037/jtd-21-1982.

DOI:10.21037/jtd-21-1982
PMID:35693596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9186240/
Abstract

BACKGROUND

For metachronous second pulmonary adenocarcinoma (msPAD) in patients with resected PAD, the method to distinguish tumour clonality has not yet been well established, which makes it difficult to determine accurate staging and predict prognosis.

METHODS

Patients received surgery for the primary and encountered msPAD were recruited into the Surveillance, Epidemiology, and End Results database. We extracted overall survival 1 (OS1) for the primary, overall survival 2 (OS2) for the msPAD, and defined interval survival as the interval time between the first and second PAD. Based on the nomogram and recursive partitioning analysis, a tumor, node, metastasis staging system (TNM)-like risk stratification system was established for OS2 on the premise of suspending the dispute of tumor clonality.

RESULTS

A total of 1,045 patients were identified. There is no significant association between interval survival and OS2. A TNM-like risk stratification system was established based on the independent pathological factors for prognosis, including tumor diameter (2), node metastasis (2), grade (2), and extrapulmonary metastasis (2). The proposed risk stratification system present well capacity in predicting and stratifying prognosis. Compared with the TNM stage system, the proposed risk stratification system presents a smaller Akaike information criterion (AIC) but larger c-index, and generates higher accuracy to predict prognosis at 160 months of follow-up according to the time-dependent receiver operating curve (ROC) curve.

CONCLUSIONS

In conclusion, the TNM-like risk stratification appears to be suitable for prognostic prediction and risk stratification for msPAD patients with former PAD resection. This model validates and refines the known classification rules based on the easily collected variables, and highlights potentially clinical implications.

摘要

背景

对于接受过原发性肺腺癌(PAD)切除术的异时性第二原发性肺腺癌(msPAD)患者,区分肿瘤克隆性的方法尚未完全确立,这使得准确分期和预测预后变得困难。

方法

将接受原发性手术并出现msPAD的患者纳入监测、流行病学和最终结果数据库。我们提取了原发性肿瘤的总生存期1(OS1)、msPAD的总生存期2(OS2),并将间隔生存期定义为首次和第二次PAD之间的间隔时间。基于列线图和递归划分分析,在暂不考虑肿瘤克隆性争议的前提下,为OS2建立了一个类似肿瘤、淋巴结、转移分期系统(TNM)的风险分层系统。

结果

共纳入1045例患者。间隔生存期与OS2之间无显著关联。基于预后的独立病理因素建立了一个类似TNM的风险分层系统,包括肿瘤直径(2)、淋巴结转移(2)、分级(2)和肺外转移(2)。所提出的风险分层系统在预测和分层预后方面表现出良好的能力。与TNM分期系统相比,所提出的风险分层系统的赤池信息准则(AIC)较小,但c指数较大,根据时间依赖性受试者工作特征曲线(ROC)曲线,在160个月的随访中预测预后的准确性更高。

结论

总之,类似TNM的风险分层似乎适用于既往接受过PAD切除术的msPAD患者的预后预测和风险分层。该模型基于易于收集的变量验证并完善了已知的分类规则,并突出了潜在的临床意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/df3c591e80b9/jtd-14-05-1306-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/35d1ccf9b2d7/jtd-14-05-1306-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/ff396733e3a3/jtd-14-05-1306-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/7bc148a9207e/jtd-14-05-1306-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/ea3e531c8a87/jtd-14-05-1306-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/df3c591e80b9/jtd-14-05-1306-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/35d1ccf9b2d7/jtd-14-05-1306-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/ff396733e3a3/jtd-14-05-1306-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/7bc148a9207e/jtd-14-05-1306-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/ea3e531c8a87/jtd-14-05-1306-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b1c/9186240/df3c591e80b9/jtd-14-05-1306-f5.jpg

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