Table 1.

Next-generation sequencing studies in gastric cancer

Study	Method	Samples	Aberration type	Main Findings
Wang et al. [30]	Whole-exome sequencing	22 tumor and matched normal pairs	Point mutations, small indels	Frequent inactivating mutations in ARIDA1
Zang et al. [31]	Whole-exome sequencing	15 tumor and matched normal pairs	Point mutations, small indels	Frequent inactivating mutations ARIDA1, FAT4
Zang et al. [32]	Whole-kinome sequencing	14 GC cell lines 3 tumor and normal pairs	Single nucleotide variations, gene fusions, and copy number variations	Recurrent inactivating mutations in MAP2K4, gene fusions involving CDK12 and ERBB2
Holbrook et al. [33]	Targeted DNA sequencing (384 genes)	44 tumor samples (36 with matched normal)	Point mutations	Genetic alternation in the WNT, Hedgehog, cell cycle, DNA damage and epithelial-to-mesenchymal transition pathways
Kim et al. [40]	Whole transcriptome RNA-sequencing	24 tumor samples and 6 normal samples	mRNA expression, miRNA expression, recurrent somatic mutations	AMPKα2 as a potential therapeutic target in Asian patients
Riberiro-dos-Santos [42]	Small RNA Sequencing	Healthy gastric tissue	/	15 most highly expressed miRNAs in gastric tissue
Li et al. [43]	Small RNA sequencing	One pair of tumor and normal samples	microRNA expression	Biased selection of arm miRNAs from the same pre-miRNAs