Identification of expressional signature of Iranian Gastric cancer patients by next generation sequencing

Background: Incidence rates of Gastric cancer (GC) is significantly varied in different geographical regions. Iran is categorized as a country with high age-standardized mortality rates (ASR> 15) and crude rate of 12.8 for GC. Late stage diagnosis beside the lack of proper treatments which is due to the heterogeneous nature of GC could be the two most important reasons for the high crude rate of this cancer in Iran. In recent years, the heterogeneous molecular mechanisms involved in gastric cancer has been extensively studied over the past few years significant attention has been devoted to the field of cancer therapy with the focus on personalized medicine. The identification of expressional signature of cancer indistinct geographical regions can be very effective in cancer risk determination, as well as in the detection of the novel therapeutic targets suitably fitted to the patients of that area. Material and Methods: By using NGS technologies we demonstrate a detailed, accurate and complete view of gene expression patterns of different medical conditions and diseases. Result: In the present study several molecular alterations implicated in several pathways has been identified. These pathways which are involved in the GC development or are associated with the different stages of GC include metabolic, MAPK, RAS, WNT, Estrogen, Jack-STAT, Hippo, PI3K-AKT and several other pathways.Conclusion: Investigation of molecular interactions between these pathways and mechanistic association of the genes involved in these pathways to GC progression can illustrate their potential usage as diagnostic markers and also considering them as new therapeutic targets.

Keywords:

Gastric Cancer , Next Generation sequencing , Transcriptome , Biomarker