Skip to main navigation Skip to search Skip to main content

Clinicopathological and prognostic significance of c-Met overexpression in breast cancer

  • Xixi Zhao
  • , Jingkun Qu
  • , Yuxin Hui
  • , Hong Zhang
  • , Yuchen Sun
  • , Xu Liu
  • , Xiaoyao Zhao
  • , Zitong Zhao
  • , Qian Yang
  • , Feidi Wang
  • , Shuqun Zhang
  • The Second Affiliated Hospital of Xi'an Jiaotong University
  • The First Affiliated Hospital of Xi’an Jiaotong University
  • Hunan University of Chinese Medicine

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

Background: c-Met has been shown to promote organ development and cancer progression in many cancers. However, clinicopathological and prognostic value of c-Met in breast cancer remains elusive. Methods: PubMed and EMBASE databases were searched for eligible studies. Correlation of c-Met overexpression with survival data and clinicopathological features was analyzed by using hazard ratio (HR) or odds ratio (OR) and fixed-effect or random-effect model according to heterogeneity. All statistical tests were two-sided. Results: 32 studies with 8281 patients were analyzed in total. The c-Met overexpression was related to poor OS (overall survival) (HR=1.65 (1.328, 2.051)) of 18 studies with 4751 patients and poor RFS/DFS (relapse/disease free survival) (HR=1.53 (1.20, 1.95)) of 12 studies with 3598 patients. Subgroup analysis according to data source/methods/ethnicity showed c-Met overexpression was related to worse OS and RFS/DFS in Given by author group, all methods group and non-Asian group respectively. Besides, c-Met overexpression was associated with large tumor size, high histologic grade and metastasis. Conclusions: Our results showed that c-Met overexpression was connected with poor survival rates and malignant activities of cancer, including proliferation, migration and invasion, which highlighted the potential of c-Met as significant candidate biomarker to identify patients with breast cancer at high risk of tumor death.

Original languageEnglish
Pages (from-to)56758-56767
Number of pages10
JournalOncotarget
Volume8
Issue number34
DOIs
StatePublished - 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast cancer
  • C-Met
  • Meta-analysis
  • Prognosis

Fingerprint

Dive into the research topics of 'Clinicopathological and prognostic significance of c-Met overexpression in breast cancer'. Together they form a unique fingerprint.

Cite this