title: Identifying molecular drivers of gastric cancer through next-generation sequencing.
abstract: Gastric cancer is the second most common cause of cancer-related death in the world, representing a major global health issue. The high mortality rate is largely due to the lack of effective medical treatment for advanced stages of this disease. Recently next-generation sequencing (NGS) technology has become a revolutionary tool for cancer research, and several NGS studies in gastric cancer have been published. Here we review the insights gained from these studies regarding how use NGS to elucidate the molecular basis of gastric cancer and identify potential therapeutic targets. We also discuss the challenges and future directions of such efforts.
authors.affiliation: Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA. Electronic address: hliang1@mdanderson.org.
authors.forename: Han
authors.initials: H
authors.lastname: Liang
authors.forename: Yon Hui
authors.initials: YH
authors.lastname: Kim
mesh_terms: D000818:Animals; D014408:Biomarkers, Tumor / Q000235:genetics*; D019295:Computational Biology; D004252:DNA Mutational Analysis; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D050939:Gene Fusion; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing; D015894:Genome, Human; D023281:Genomics / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D009154:Mutation; D020411:Oligonucleotide Array Sequence Analysis; D010641:Phenotype; D057285:Precision Medicine; D011237:Predictive Value of Tests; D011379:Prognosis; D017422:Sequence Analysis, DNA; D017423:Sequence Analysis, RNA; D013274:Stomach Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000628:therapy
chemical_list: D014408:Biomarkers, Tumor