MET in gastric cancer with liver metastasis: The relationship between MET amplification and Met overexpression in primary stomach tumors and liver metastasis

Han S. Kim, Hong J. Chon, Hyunki Kim, Su Jin Shin, Volker Wacheck, Aaron M. Gruver, Jong S. Kim, Sun Y. Rha, Hyun C. Chung

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Background and Objectives: Although MET amplification/overexpression was observed in a subset of gastric cancer (GC) patients, the relationship between MET amplification/overexpression in primary GC and liver metastasis was unclear. Methods: GC samples and matched liver metastases (N = 47) were analyzed by fluorescence/silver in-situ hybridization (FISH/SISH) and by immunohistochemistry for MET amplification and MET expression, respectively. MET-copy number (CN) and Met expression data from The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA-STAD, N = 356) were also analyzed. Results: Significant overlap existed between MET amplification and Met expression in both primary stomach tumors (P = 0.013) and liver metastasis (P = 0.001). In TCGA-STAD, MET-CN (≥4 copies) and MET expression were also positively correlated (r = 0.761; P = 0.017). Comparative analysis revealed a strong association between MET expression and MET amplification (85% concurrence) in primary stomach tumors and matched liver metastasis. MET status in synchronous liver metastasis (N = 36) was correlated with primary stomach tumors. However, a significant correlation between primary tumors and liver metastases was not observed in patients with metachronous liver metastasis. Survival analyses revealed that both MET amplification and MET overexpression were prognostic of poor outcomes. Conclusions: MET amplification and Met overexpression were positively correlated in GC. MET status should be re-evaluated in GC patients with liver metastasis, especially for metachronous metastasis.

Original languageEnglish
Pages (from-to)1679-1686
Number of pages8
JournalJournal of surgical oncology
Volume117
Issue number8
DOIs
Publication statusPublished - 2018 Jun 15

Bibliographical note

Funding Information:
The analysis of MET amplification and protein expression using TCGA-STAD were based on data generated by the TCGA Research Network (http://cancergenome.nih.gov/). The authors thank members of the Clinical Diagnostics Laboratory at Eli Lilly and Company for technical assistance. This study was supported by a grant from the Korea Health 21 R&D Project, Ministry of Health & Welfare, Republic of Korea (0405-BC01-0604-0002) and a research grant from Eli Lilly and Company.

All Science Journal Classification (ASJC) codes

  • Surgery
  • Oncology

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