Microvascular Invasion and a Size Cutoff Value of 2 cm Predict Long-Term Oncological Outcome in Multiple Hepatocellular Carcinoma: Reappraisal of the American Joint Committee on Cancer Staging System and Validation Using the Surveillance, Epidemiology, and End-Results Database

微血管侵犯和2厘米的肿瘤大小临界值可预测多发性肝细胞癌的长期肿瘤学预后:对美国癌症联合委员会分期系统的重新评估以及使用监测、流行病学和最终结果数据库的验证

阅读:1

Abstract

INTRODUCTION: For prognostication of hepatocellular carcinoma (HCC), the optimal size cutoff value and the significance of microvascular invasion (mvi) remain inconclusive. OBJECTIVE: This study sought to revisit the inconclusive components of current American Joint Committee on Cancer (AJCC) staging system and to develop a new practical prognostication model for patients with HCC based on 2 large cohorts. METHOD: In 1,175 patients who underwent resection for HCC (training cohort), prognostic significance of mvi, and optimal size cutoff value were revisited and a new staging model was established. Then, its performance was validated using 5,249 patients derived from a population-based database (validation cohort). RESULTS: The optimal size cutoff value was 2 cm in multiple HCC, similar to that for solitary HCC. Multivariate analyses confirmed that mvi, a size >2 cm, and multiple lesions were independent predictors with similar weights for disease-specific survival. Based on these results, earlier stages of HCC were reclassified according to the number of the following factors: multiple tumors, >2 cm in diameter, and presence of mvi. Also, given the similar prognosis of Stages IIIB and IVA according to the AJCC 8th edition, these groups were reclassified into the same stage. This new staging model had a better performance than the AJCC 8th edition in both training cohort (c-statistics, 0.648 vs. 0.629) and the validation cohort (c-statistics, 0.646 vs. 0.645) regardless of the presence of cirrhosis. CONCLUSIONS: Inclusion of a size cutoff value of 2 cm and mvi could reclassify the current version of the AJCC staging system and offer an alternative prognostication model using a single size-cutoff value of HCC.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。