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Updated: May 13, 2026

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Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker
Published on: September 15, 2023
Heterogeneous target protein expression in synchronous multiple gastric carcinomas
Gyhyun Kang1, Ha Young Park, Sumin Ahn
1Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, #50, Ilwon-dong, Gangnam-Gu, Seoul 135-710, Korea.
Summary
Synchronous multiple gastric carcinomas (SMGCs) show significant intertumoral heterogeneity in HER2, EGFR, and MET protein expression. This suggests a multicentric origin and necessitates individual testing for each tumor lesion.
Area of Science:
- Gastroenterology
- Oncology
- Molecular Pathology
Background:
- Synchronous multiple gastric carcinomas (SMGCs) present unique diagnostic and therapeutic challenges.
- Understanding the molecular landscape of individual tumors within SMGCs is crucial for personalized treatment strategies.
Purpose of the Study:
- To investigate the protein expression levels of HER2, EGFR, and MET across separate tumor lesions in patients diagnosed with SMGCs.
- To assess the degree of intertumoral heterogeneity for these key target proteins within individual SMGC cases.
Main Methods:
- Immunohistochemistry was employed to analyze HER2, EGFR, and MET protein expression.
- The study included 282 carcinomas from 141 patients with SMGCs.
Main Results:
- HER2, EGFR, and MET protein overexpression was observed in 11.3%, 23.4%, and 14.9% of SMGC cases, respectively.
- High intertumoral heterogeneity was noted, with concordance rates below 0.3 kappa for HER2 (90.8%), EGFR (81.6%), and MET (86.5%) expression between synchronous tumors.
- Specific heterogeneity rates were 81.3% for HER2, 78.8% for EGFR, and 90.5% for MET in cases with overexpression in multiple tumors.
Conclusions:
- A considerable intertumoral heterogeneity in target protein expression exists within SMGCs.
- These findings support a multicentric origin hypothesis for SMGC.
- Comprehensive immunohistochemical evaluation of all synchronous gastric lesions is recommended for accurate patient management.

