Increased expression of metastasis-associated in colon cancer-1 in renal cell carcinoma is associated with poor prognosis

Int J Clin Exp Pathol. 2015 Apr 1;8(4):3857-63. eCollection 2015.

Abstract

Metastasis-associated in colon cancer-1 (MACC1) expression in tumor specimens is an independent prognostic indicator of metastasis, which has recently gained considerable attention in cancer research, due to its overexpression in several types of carcinoma. However, MACC1 expression patterns and its possible role in renal cell carcinoma remain unknown. This study aimed to investigate MACC1 expression in renal cell carcinoma via immunohistochemical analysis and determine the relationship between MACC1 expression and cancer prognosis. Positive MACC1 expression was found to significantly correlate with distant metastasis and TNM stage (P < 0.05). A Kaplan-Meier survival analysis revealed that patients with higher MACC1 expression had a significantly lower disease-free rate (P < 0.05). These results indicate that MACC1 expression is significantly associated with prognosis in patients with renal cell carcinoma. To the best of our knowledge, this is the first study on the significance of MACC1 as a prognostic marker in renal cell carcinoma. MACC1 expression may be a useful target for the development of new therapeutic approaches, including molecular targeted therapeutic agents, for renal cell carcinoma.

Keywords: MACC1; biomarker; prognosis; renal cell carcinoma.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma, Renal Cell / metabolism*
  • Carcinoma, Renal Cell / pathology
  • Disease-Free Survival
  • Female
  • Humans
  • Kidney Neoplasms / metabolism*
  • Kidney Neoplasms / mortality
  • Kidney Neoplasms / pathology
  • Male
  • Middle Aged
  • Neoplasm Metastasis / pathology
  • Prognosis
  • Survival Rate
  • Trans-Activators
  • Transcription Factors / metabolism*
  • Up-Regulation

Substances

  • MACC1 protein, human
  • Trans-Activators
  • Transcription Factors