Receptor Tyrosine Kinase Amplified Gastric Cancer: Clinicopathologic Characteristics and Proposed Screening Algorithm
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Although targeted therapy for receptor tyrosine kinases (RTKs) of advanced gastric cancers (AGCs) has been in the spotlight, guidelines for the identification of RTK-amplified gastric cancers (RA-GCs) have not been established. In this study, we investigate clinicopathologic characteristics of RA-GCs and propose a screening algorithm for their identification. We performed immunohistochemistry (IHC) for MLH1, MSH2, PMS2, MSH6, key RTKs (EGFR, HER2, MET), and p53, in situ hybridization for Epstein-Barr virus encoding RNA, and silver in situ hybridization (SISH) for EGFR, HER2, and MET using tissue microarrays of 993 AGCs. On IHC, 157 (15.8%) 61, (6.15%), and 85 (8.56%) out of 993 cases scored 2+ or 3+ for EGFR, HER2, and MET, respectively. On SISH, 31.2% (49/157), 80.3% (49/61), and 30.6% (26/85) of 2+ or 3+ cases on IHC showed amplification of the corresponding genes. Of the 993 cases, 104 were classified as RA-GCs. RA-GC status correlated with older age (P < 0.001), differentiated histology (P = 0.001), intestinal or mixed type by Lauren classification (P < 0.001), lymphovascular invasion (P = 0.026), and mutant-pattern of p53 (P < 0.001). The cases were divided into four subgroups using two classification systems, putative molecular classification and histologic-molecular classification, based on Lauren classification, IHC, and SISH results. The histologic-molecular classification showed higher sensitivity for identification of RA-GCs and predicted patient prognosis better than the putative molecular classification. In conclusion, RA-GCs show unique clinicopathologic features. The proposed algorithm based on histologic-molecular classification can be applied to select candidates for genetic examination and targeted therapy.
Molecular Classifications in Gastric Cancer: A Call for Interdisciplinary Collaboration.
Diaz Del Arco C, Fernandez Acenero M, Ortega Medina L Int J Mol Sci. 2024; 25(5).
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Kim J, Park C, Noh S, Cheong J, Noh S, Kim H Gut Liver. 2023; 17(5):753-765.
PMID: 36789575 PMC: 10502505. DOI: 10.5009/gnl220342.
Kim K, Noh S, Cheong J, Kim H Gut Liver. 2021; 15(5):694-704.
PMID: 34312322 PMC: 8444103. DOI: 10.5009/gnl20203.
LncRNA PINK1-AS promotes Gαi1-driven gastric cancer tumorigenesis by sponging microRNA-200a.
Lv Y, Wang Y, Song Y, Wang S, Cheng K, Zhang Z Oncogene. 2021; 40(22):3826-3844.
PMID: 33958720 DOI: 10.1038/s41388-021-01812-7.
Kim K, Kim N, Choi Y, Kim W, Yoon H, Shin C Gastric Cancer. 2021; 24(4):844-857.
PMID: 33598811 DOI: 10.1007/s10120-021-01163-y.