Recurrence Patterns and Disease-Free Survival after Resection of Intrahepatic Cholangiocarcinoma: Preoperative and Postoperative Prognostic Models.

Conference Paper

BACKGROUND: Liver resection is the most effective treatment for intrahepatic cholangiocarcinoma. Recurrent disease is frequent; however, recurrence patterns are ill-defined and prognostic models are lacking. STUDY DESIGN: A primary cohort of 189 patients who underwent resection for intrahepatic cholangiocarcinoma was used for recurrence patterns analysis within and after 24 months. Based on independent factors for disease-free survival identified in Cox regression analysis, preoperative and postoperative models were developed using a recursive partitioning method. Models were externally validated using a multicenter cohort of 522 resected patients (Association Française de Chirurgie intrahepatic cholangiocarcinoma study group). RESULTS: Recurrence within 24 months most often involved the liver (82.7%), and most recurrences after 24 months were strictly extrahepatic (61.1%). In multivariable analysis of the primary cohort, independent preoperative factors for disease-free survival were tumor size and multifocality (based on imaging); tumor size, multifocality, vascular invasion, and lymph node metastases (based on pathology) were independent postoperative factors. The preoperative model allowed patient classification into low-risk and high-risk groups for recurrence. In the validation cohort (n = 522), high-risk patients had a greater likelihood of recurrence (hazard ratio = 2.17; 95% CI, 1.74-2.72; p < 0.001). The postoperative model included tumor size, vascular invasion, and positive nodal disease on pathology and classified patients in low-, intermediate-, and high-risk groups in the primary cohort. As compared with low-risk patients in the validation cohort, intermediate- and high-risk patients were more likely to experience recurrence (hazard ratio = 1.9; 95% CI, 1.41-2.47; p < 0.001 and hazard ratio = 2.99; 95% CI, 2.08-4.31; p < 0.001, respectively). CONCLUSIONS: Recurrence patterns are time dependent. Both models as developed and validated in this study classified patients in distinct recurrence risk groups, which can guide treatment recommendations.

Full Text

Duke Authors

Cited Authors

  • Doussot, A; Gonen, M; Wiggers, JK; Groot-Koerkamp, B; DeMatteo, RP; Fuks, D; Allen, PJ; Farges, O; Kingham, TP; Regimbeau, JM; D'Angelica, MI; Azoulay, D; Jarnagin, WR

Published Date

  • September 2016

Published In

Volume / Issue

  • 223 / 3

Start / End Page

  • 493 - 505.e2

PubMed ID

  • 27296525

Pubmed Central ID

  • PMC5003652

Electronic International Standard Serial Number (EISSN)

  • 1879-1190

Digital Object Identifier (DOI)

  • 10.1016/j.jamcollsurg.2016.05.019

Conference Location

  • United States