Published online Apr 14, 2015. doi: 10.3748/wjg.v21.i14.4255
Peer-review started: October 14, 2014
First decision: October 29, 2014
Revised: January 16, 2015
Accepted: February 11, 2015
Article in press: February 11, 2015
Published online: April 14, 2015
Processing time: 196 Days and 18.8 Hours
AIM: To investigate the prognostic value of metastatic lymph node ratio (MLNR) in extrahepatic cholangiocarcinoma (ECC) patients undergoing radical resection.
METHODS: Seventy-eight patients with ECC were enrolled. Associations between various clinicopathologic factors and prognosis were investigated by Kaplan-Meier analyses. The Cox proportional-hazards model was used for multivariate survival analysis.
RESULTS: The overall three- and five-year survival rates were 47.26% and 23.99%, respectively. MLNR of 0, 0-0.2, 0.2-0.5, and > 0.5 corresponded to five-year survival rates of 28.59%, 21.60%, 18.84%, and 10.03%, respectively. Univariate analysis showed that degree of tumor differentiation, lymph node metastasis, MLNR, tumor-node-metastasis (TNM) stage, and margin status were closely associated with postoperative survival in ECC patients (P < 0.05). Multivariate analysis showed that MLNR and TNM stage were independent prognostic factors after pancreaticoduodenectomy (HR = 2.13, 95%CI: 1.45-3.11; P < 0.01; and HR = 1.97, 95%CI: 1.17-3.31; P = 0.01, respectively). The median survival time for MLNR > 0.5, 0.2-0.5, 0-0.2, and 0 was 15 mo, 24 mo, 23 mo, and 35.5 mo, respectively. There were statistical differences in survival time between patients with different MLNR (χ2 = 15.38; P < 0.01).
CONCLUSION: MLNR is an independent prognostic factor for ECC patients after radical resection and is useful for predicting postoperative survival.
Core tip: This study aims to investigate the prognostic significance of metastatic lymph node ratio in extrahepatic cholangiocarcinoma patients undergoing radical resection. Using univariate and multivariate analysis, we found that metastatic lymph node ratio was an independent prognostic factor for these patients after radical resection and is useful for predicting postoperative survival.