Multi-marker analysis of genomic annotation on gastric cancer GWAS data from Chinese populations

Background Gastric cancer (GC) is one of the high-incidence and high-mortality cancers all over the world. Though genome-wide association studies (GWASs) have found some genetic loci related to GC, they could only explain a small fraction of the potential pathogenesis for GC. Methods We used multi-m...

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Veröffentlicht in:Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association 2019-01, Vol.22 (1), p.60-68
Hauptverfasser: Yu, Fei, Tian, Tian, Deng, Bin, Wang, Tianpei, Qi, Qi, Zhu, Meng, Yan, Caiwang, Ding, Hui, Wang, Jinchen, Dai, Juncheng, Ma, Hongxia, Ding, Yanbing, Jin, Guangfu
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Sprache:eng
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Zusammenfassung:Background Gastric cancer (GC) is one of the high-incidence and high-mortality cancers all over the world. Though genome-wide association studies (GWASs) have found some genetic loci related to GC, they could only explain a small fraction of the potential pathogenesis for GC. Methods We used multi-marker analysis of genomic annotation (MAGMA) to analyze pathways from four public pathway databases based on Chinese GWAS data including 2631 GC cases and 4373 controls. The differential expressions of selected genes in certain pathways were assessed on the basis of The Cancer Genome Atlas database. Immunohistochemistry was also conducted on 55 GC and paired normal tissues of Chinese patients to localize the expression of genes and further validate the differential expression. Results We identified three pathways including chemokine signaling pathway, potassium ion import pathway, and interleukin-7 (IL7) pathway, all of which were associated with GC risk. NMI in IL7 pathway and RAC1 in chemokine signaling pathway might be two new candidate genes involved in GC pathogenesis. Additionally, NMI and RAC1 were overexpressed in GC tissues than normal tissues. Conclusion Immune and inflammatory associated processes and potassium transporting might participate in the development of GC. Besides, NMI and RAC1 might represent two new key genes related to GC. Our findings might give new insight into the biological mechanism and immunotherapy for GC.
ISSN:1436-3291
1436-3305
DOI:10.1007/s10120-018-0841-y