Immunoglobulin kappa C predicts overall survival in node-negative breast cancer

PLoS One. 2012;7(9):e44741. doi: 10.1371/journal.pone.0044741. Epub 2012 Sep 28.

Abstract

Background: Biomarkers of the immune system are currently not used as prognostic factors in breast cancer. We analyzed the association of the B cell/plasma cell marker immunoglobulin kappa C (IGKC) and survival of untreated node-negative breast cancer patients.

Material and methods: IGKC expression was evaluated by immunostaining in a cohort of 335 node-negative breast cancer patients with a median follow-up of 152 months. The prognostic significance of IGKC for disease-free survival (DFS) and breast cancer-specific overall survival (OS) was evaluated with Kaplan-Meier survival analysis as well as univariate and multivariate Cox analysis adjusted for age at diagnosis, pT stage, histological grade, estrogen receptor (ER) status, progesterone receptor (PR) status, Ki-67 and human epidermal growth factor receptor 2 (HER-2) status.

Results: 160 patients (47.7%) showed strong expression of IGKC. Univariate analysis showed that IGKC was significantly associated with DFS (P = 0.017, hazard ratio [HR] = 0.570, 95% confidence interval [CI] = 0.360-0.903) and OS (P = 0.011, HR = 0.438, 95% CI = 0.233-0.822) in the entire cohort. The significance of IGKC was especially strong in ER negative and in luminal B carcinomas. In multivariate analysis IGKC retained its significance independent of established clinical factors for DFS (P = 0.004, HR = 0.504, 95% CI = 0.315-0.804) as well as for OS (P = 0.002, HR = 0.371, 95% CI = 0.196-0.705).

Conclusion: Expression of IGKC has an independent protective impact on DFS and OS in node-negative breast cancer.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Breast Neoplasms / metabolism*
  • Breast Neoplasms / pathology*
  • Disease-Free Survival
  • Female
  • Humans
  • Immunoglobulin kappa-Chains / metabolism*
  • Immunohistochemistry
  • Middle Aged

Substances

  • Immunoglobulin kappa-Chains

Grants and funding

This work was supported by the Federal Ministry of Education and Research (BMBF, NGFN project Oncoprofile) and China Scholarship Council (financial support to ZC) (No. 2009616032; Peking, China). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.