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

Zhong Jin, Naijin Xu, Kai Guo, Peng Xu, Pengju Li, Yiming Zhang, Xiezhao Li, Shaobo Zheng, Chunxiao Liu, Abai Xu, Peng Huang

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)3857-3863
Number of pages7
JournalInternational Journal of Clinical and Experimental Pathology
Issue number4
Publication statusPublished - Jan 1 2015
Externally publishedYes


  • Biomarker
  • MACC1
  • Prognosis
  • Renal cell carcinoma

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Histology


Dive into the research topics of 'Increased expression of metastasis-associated in colon cancer-1 in renal cell carcinoma is associated with poor prognosis'. Together they form a unique fingerprint.

Cite this