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筛查高危人群的原发性胃癌:评估胃切除术后有无淋巴转移的总体生存概率评分。

Screening high-risk individuals for primary gastric carcinoma: evaluating overall survival probability score in the presence and absence of lymphatic metastasis post-gastrectomy.

机构信息

Hepatobiliary, Pancreatic and Gastrointestinal Surgery, Shanxi Hospital Affiliated to Carcinoma Hospital, Chinese Academy of Medical Sciences, Shanxi Province Carcinoma Hospital, Carcinoma Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, P.R. China.

Shanxi Medical University, 030013, Taiyuan, Shanxi, P.R. China.

出版信息

World J Surg Oncol. 2024 Jul 25;22(1):196. doi: 10.1186/s12957-024-03481-8.

Abstract

OBJECTIVE

The aim of this study was to develop and validate prognostic models for predicting overall survival in individuals with gastric carcinoma, specifically focusing on both negative and positive lymphatic metastasis.

METHODS

A total of 1650 patients who underwent radical gastric surgery at Shanxi Cancer Hospital between May 2002 and December 2020 were included in the analysis. Multiple Cox Proportional Hazards analysis was performed to identify key variables associated with overall survival in both negative and positive lymphatic metastasis cases. Internal validation was conducted using bootstrapping to assess the prediction accuracy of the models. Calibration curves were used to demonstrate the accuracy and consistency of the predictions. The discriminative abilities of the prognostic models were evaluated and compared with the 8th edition of AJCC-TNM staging using Harrell's Concordance index, decision curve analysis, and time-dependent receiver operating characteristic curves.

RESULTS

The nomogram for node-negative lymphatic metastasis included variables such as age, pT stage, and maximum tumor diameter. The C-index for this model in internal validation was 0.719, indicating better performance compared to the AJCC 8th edition TNM staging. The nomogram for node-positive lymphatic metastasis included variables such as gender, age, maximum tumor diameter, neural invasion, Lauren classification, and expression of Her-2, CK7, and CD56. The C-index for this model was 0.674, also outperforming the AJCC 8th edition TNM staging. Calibration curves, time-dependent receiver operating characteristic curves, and decision curve analysis for both nomograms demonstrated excellent prediction ability. Furthermore, significant differences in prognosis between low- and high-risk groups supported the models' strong risk stratification performance.

CONCLUSION

This study provides valuable risk stratification models for lymphatic metastasis in gastric carcinoma, encompassing both node-positive and negative cases. These models can help identify low-risk individuals who may not require further intervention, while high-risk individuals can benefit from targeted therapies aimed at addressing lymphatic metastasis.

摘要

目的

本研究旨在开发和验证用于预测胃癌患者总体生存的预后模型,特别关注阴性和阳性淋巴转移。

方法

纳入 2002 年 5 月至 2020 年 12 月在山西省肿瘤医院接受根治性胃切除术的 1650 例患者进行分析。采用多 Cox 比例风险分析确定与阴性和阳性淋巴转移病例总生存相关的关键变量。通过自举法进行内部验证,以评估模型的预测准确性。使用校准曲线来展示预测的准确性和一致性。通过 Harrell 的一致性指数、决策曲线分析和时间依赖性接收者操作特征曲线来评估和比较预测模型的判别能力与第 8 版 AJCC-TNM 分期。

结果

无淋巴结转移的预后模型包括年龄、pT 分期和最大肿瘤直径等变量。内部验证的模型 C 指数为 0.719,表明与第 8 版 AJCC-TNM 分期相比表现更好。有淋巴结转移的预后模型包括性别、年龄、最大肿瘤直径、神经侵犯、Lauren 分类以及 Her-2、CK7 和 CD56 的表达等变量。该模型的 C 指数为 0.674,也优于第 8 版 AJCC-TNM 分期。两个模型的校准曲线、时间依赖性接收者操作特征曲线和决策曲线分析均显示出优异的预测能力。此外,低风险组和高风险组之间的预后差异显著,支持模型具有较强的风险分层性能。

结论

本研究为胃癌的淋巴转移提供了有价值的风险分层模型,包括阳性和阴性淋巴结转移病例。这些模型可以帮助识别低风险个体,他们可能不需要进一步干预,而高风险个体可以受益于针对淋巴转移的靶向治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/11271195/9d110a603734/12957_2024_3481_Fig1_HTML.jpg

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