Prognostic significance of lymph node status in patients with metastatic colorectal carcinoma treated with lymphadenectomy

J Surg Oncol. 2014 Mar;109(3):234-8. doi: 10.1002/jso.23479. Epub 2014 Jan 21.

Abstract

Background and objectives: To test prognostic significance of lymph node status in patients with metastatic colorectal carcinoma (mCRC).

Methods: Four hundred ninety six patients diagnosed with synchronous mCRC and treated with lymphadenectomy between 1995 and 2008 were identified and divided into groups pN0, pN1, and pN2 (140 (28.2%) in pN0, 223 (45.0%) in pN1, and 133 (26.8%) in pN2 group) according to their lymph node status. The Kaplan-Meier and Cox regression analyses were used to test associations and independent predictor status of lymph node involvement.

Results: The Cox proportional hazards regression showed pN as significantly associated with disease-specific survival (DSS) both in univariate (HR = 1.609, 95% CI 1.411 to 1.835, P < 0.001) and multivariate (HR = 1.630, 95% CI 1.422 to 1.868, P < 0.001) analyses. The Kaplan-Meier analysis demonstrated that patients with pN2 and pN1 had a significantly worse DSS compared with patients with pN0 tumors (respectively, 17.273 ± 1.020 and 27.145 ± 1.715 vs. 34.992 ± 2.143 months; P < 0.001). In accuracy analyses based on AUC values, nodal status demonstrated the highest accuracy (65.1%) out of all the variables.

Conclusions: Our findings indicate that optimal TNM staging for mCRC should incorporate lymph node status to provide a more effective and predictive model.

Keywords: TNM; involvement; lymph nodes; lymphadenectomy; mCRC; prognosis.

MeSH terms

  • Adult
  • Aged
  • Colorectal Neoplasms / mortality
  • Colorectal Neoplasms / pathology*
  • Colorectal Neoplasms / surgery*
  • Disease-Free Survival
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Lymph Node Excision*
  • Lymph Nodes / pathology*
  • Lymph Nodes / surgery*
  • Lymphatic Metastasis
  • Male
  • Middle Aged
  • Neoplasm Staging
  • Neoplasms, Multiple Primary / surgery
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models
  • Retrospective Studies