Predictive risk-score model to select patients with intrahepatic cholangiocarcinoma for adjuvant chemotherapy

The aim of this study was to develop a predictive model to identify individuals most likely to derive overall survival (OS) benefit from adjuvant chemotherapy (AC) after hepatic resection of intrahepatic cholangiocarcinoma (ICC).

Patients who underwent hepatic resection of ICC between 1990 and 2020 were identified from a multi-institutional database. Factors associated with worse OS were identified and incorporated into an online predictive model to identify patients most likely to benefit from AC.

Among 726 patients, 189 (26.0%) individuals received AC. Factors associated with OS on multivariable analysis included CA19-9 (Hazard Ratio [HR]1.17, 95%CI 1.04-1.31), tumor burden score (HR1.09, 95%CI 1.04-1.15), T-category (T2/3/4, HR1.73, 95%CI 1.73-2.64), nodal disease (N1, HR3.80, 95%CI 2.02-7.15), tumor grade (HR1.88, 95%CI 1.00-3.55), and morphological subtype (HR2.19, 95%CI 1.08-4.46). A weighted predictive score was devised and made available online (https://yutaka-endo.shinyapps.io/ICCrisk_model_for_AC/). Receipt of AC was associated with a survival benefit among patients at high/medium-risk (high: no AC, 0% vs. AC, 20.6%; medium: no AC, 36.4% vs. 40.8%; both p < 0.05) but not low-risk (low: no AC, 65.1% vs. AC, 65.1%; p = 0.73) tumors.

An online predictive model based on tumor characteristics may help identify which patients may benefit the most from AC following resection of ICC.