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T1 型肝内胆管细胞癌新诊断患者远处转移及预后的预测因素。

Predictors of Distant Metastasis and Prognosis in Newly Diagnosed T1 Intrahepatic Cholangiocarcinoma.

机构信息

Department of Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.

Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.

出版信息

Biomed Res Int. 2023 Jan 17;2023:6638755. doi: 10.1155/2023/6638755. eCollection 2023.

Abstract

BACKGROUND

According to American Joint Committee on Cancer (AJCC) 8th staging system, T1 intrahepatic cholangiocarcinoma (T1 ICC) is considered a tumor with no vascular invasion. However, T1 ICC usually occurs distant metastasis (DM), and the clinical features of these patients could help clinicians identify the high-risk population.

METHODS

We reviewed 1959 newly diagnosed patients with T1 ICC from the Surveillance, Epidemiology, and End Results (SEER) database during 2004-2018. Logistic regression models and Cox proportional hazards models were conducted to predict the risk of DM and overall survival (OS), respectively, and then, web-based nomograms were constructed. Decision curve analysis (DCA) and clinical impact curves (CIC) were used to measure the clinical utility of the models. The low-, medium-, and high-risk groups were identified by calculating the summary of the risk points. Nomograms on the web were also created to help clinicians better use these prediction models.

RESULTS

Tumor size and lymph node metastasis accounted for the first two largest proportions among the DM nomogram scores, while surgery, DM, age at diagnosis, chemotherapy, and lymph node metastasis occupied the largest percentage in OS nomogram. DM nomogram was established for these newly diagnosed patients with T1 ICC, and OS nomogram was developed to visually predict the OS rate of 3, 5, and 10 years. The calibration curves revealed a valid predictive accuracy of nomograms, of which the C-index was 0.703 and 0.740, respectively, for good discrimination. DCAs, CICs, and risk subgroups showed the clinical validity of these nomograms. Two websites were created to make it easier to use these nomograms.

CONCLUSIONS

Novel web-based nomograms predicting the risk of DM and OS for T1 ICC were constructed. These predictive tools might help clinicians make precise clinical strategies for each patient with T1 ICC.

摘要

背景

根据美国癌症联合委员会(AJCC)第 8 版分期系统,T1 型肝内胆管癌(T1 ICC)被认为是无血管侵犯的肿瘤。然而,T1 ICC 通常发生远处转移(DM),这些患者的临床特征有助于临床医生识别高危人群。

方法

我们回顾了 2004 年至 2018 年期间来自监测、流行病学和最终结果(SEER)数据库的 1959 例新诊断的 T1 ICC 患者。分别使用 logistic 回归模型和 Cox 比例风险模型预测 DM 和总生存期(OS)的风险,并构建了基于网络的列线图。决策曲线分析(DCA)和临床影响曲线(CIC)用于衡量模型的临床实用性。通过计算风险点总和来确定低、中、高危组。还创建了基于网络的列线图,以帮助临床医生更好地使用这些预测模型。

结果

DM 列线图评分中,肿瘤大小和淋巴结转移占前两位,而手术、DM、诊断时年龄、化疗和淋巴结转移占 OS 列线图的最大比例。为这些新诊断的 T1 ICC 患者建立了 DM 列线图,并开发了 OS 列线图,以直观地预测 3、5 和 10 年的 OS 率。校准曲线显示了列线图的有效预测准确性,其中 C 指数分别为 0.703 和 0.740,具有较好的区分度。DCA、CIC 和风险亚组显示了这些列线图的临床有效性。创建了两个网站,以方便使用这些列线图。

结论

构建了用于预测 T1 ICC DM 和 OS 风险的新型基于网络的列线图。这些预测工具可能有助于临床医生为每位 T1 ICC 患者制定精确的临床策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ee3/9873431/1702aa2ee9df/BMRI2023-6638755.001.jpg

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