Microsatellite Instability-Related Mutations Partially Account for Decreased Lymph Node Metastasis in MSI-H Gastric Cancers.

PURPOSE

Gene mutations play important roles in tumour metastasis, which significantly affect the prognosis of gastric cancer (GC) patients. This study aimed to compare lymph node (LN) metastasis of GCs with different microsatellite instability (MSI) statuses and explore the effect of mutations on GC LN metastasis.

MATERIALS AND METHODS

The association between clinicopathologic characteristics and MSI status or mutational status was analysed based on a GC dataset from The Cancer Genome Atlas (TCGA). The association of mutations with MSI status was assessed. Whole-exome sequencing data of 157 GCs from Chinese patients at Fudan University Shanghai Cancer Center were used to validate the association of mutated and MSI status. Survival plots were obtained from the KMPlot and cBioPortal databases. The roles of ACVR2A and its common mutants in GC cell migration and proliferation were assayed in vitro.

RESULTS

LN metastasis was significantly decreased in MSI-H GCs compared with microsatellite instability-low or microsatellite stable (MSI-L/MSS) GCs (=0.016). As the most frequently mutated gene in MSI-H GCs, mutated was significantly associated with MSI-H (<0.001) and a higher mutation frequency (<0.001). Additionally, a tendency toward decreased LN metastasis was observed in GCs with mutated , although the value was not statistically significant (=0.052). Higher expression of predicted a poor prognosis, but patients with mutations had slightly better disease-free survival. Two polyadenine microsatellite loci in the coding region were hotspot mutation sites. In vitro experiments demonstrated that wild-type ACVR2A promoted GC cell migration probably via the Snail/Slug-EMT pathway, while ACVR2A truncated mutants lost this function.

CONCLUSION

MSI-H GCs had lower LN metastasis partially due to mutations. Mutated was significantly associated with MSI-H in GC, making it a potential biomarker that could be useful in choosing candidates for immunotherapy.