J Cancer 2019; 10(22):5575-5584. doi:10.7150/jca.32199 This issue

Research Paper

Prognostic Value and Predication Model of Microvascular Invasion in Patients with Intrahepatic Cholangiocarcinoma

Zheng Tang1,*, Wei-Ren Liu1,*, Pei-Yun Zhou1,*, Zhen-Bin Ding1, Xi-Fei Jiang1, Han Wang1, Meng-Xin Tian1, Chen-Yang Tao1, Yuan Fang1, Wei-Feng Qu1, Zhi Dai1, Shuang-Jian Qiu1, Jian Zhou1,2, Jia Fan1,2✉, Ying-Hong Shi1✉

1. Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Shanghai, China
2. Institutes of Biomedical Sciences, Fudan University, Shanghai, People's Republic of China
* These authors contributed equally to this work

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Tang Z, Liu WR, Zhou PY, Ding ZB, Jiang XF, Wang H, Tian MX, Tao CY, Fang Y, Qu WF, Dai Z, Qiu SJ, Zhou J, Fan J, Shi YH. Prognostic Value and Predication Model of Microvascular Invasion in Patients with Intrahepatic Cholangiocarcinoma. J Cancer 2019; 10(22):5575-5584. doi:10.7150/jca.32199. Available from https://www.jcancer.org/v10p5575.htm

File import instruction


Background: Whether microvascular invasion (MVI) adversely influences oncological outcomes for intrahepatic cholangiocarcinoma (ICC) patients remains unclear. The purpose of this study was to determine the impact of MVI on postoperative survival and establish a new predictive model for MVI before surgical intervention in patients with ICC.

Methods: In this two-center retrospective study, 556 and 31 consecutive patients who underwent curative liver resection for ICC at ZSH and XJFH were analyzed, respectively. Propensity score matching (PSM) and Cox regression analyses were used to explore the prognostic role of MVI on the OS and DFS. Multivariate logistic regression was used to identify the relative risk factors of MVI, which were incorporated into the nomogram.

Results: After PSM, 50 MVI cases matched with 172 non-MVI cases, and no bias was observed between the two groups (propensity score, 0.118 (0.099, 0.203) vs. 0.115 (0.059, 0.174), p=0.251). The multivariate Cox analysis showed that MVI was negatively associated with OS (HR 1.635, 95% CI 1.405-1.993, p=0.04) and DFS (HR 1.596, 95% CI 1.077-2.366, p=0.02). The independent factors associated with MVI were ALT, AFP, tumor maximal diameter, and tumor capsule. The nomogram that incorporated these variables achieved good concordance indexes for predicting MVI. Patients with a cutoff score of 168 were considered to have different risks of the presence of MVI preoperatively.

Conclusions: The presence of MVI was an adverse prognostic factor for ICC patients. Using the nomogram model, the risk of an individual patient harboring MVI was determined, which led to a rational therapeutic choice.

Keywords: Microvascular invasion, Intrahepatic Cholangiocarcinoma, Propensity score matching, Nomogram, Survival Analysis