Identification of Candidate Targeted Genes in Molecular Subtypes of Gastric Cancer

Abstract

Because of high heterogeneity, a further classification should be made for diagnosis and treatment in gastric cancer. Biomarkers selected in subtypes are important for precision medicine. Based on gene expression level, we constructed genome-wide co-expression networks for invasive, proliferative and metabolic subtype in gastric cancer respectively. The hierarchical clustering was used to get sub-networks, and hub gene sets of subtypes were got by analysis in sub-networks. Unique differential expression genes as candidate targeted genes in subtype were gained by a comparative analysis between subtypes. These genes may be helpful for improving diagnosis and therapy methods and developing new drug in gastric cancer.

Microtubule Engagement with Taxane Is Altered in Taxane-Resistant Gastric Cancer

“…We did not identify any significant correlation, suggesting that these kinesins may be involved in taxane resistance via other mechanisms. For example, KIF18B regulates MT dynamics through its interaction with the non-motile kinesin MCAK, (50,51) and its expression has been associated with a proliferative subtype of gastric cancer (52). The centrosomally associated kinesin KIFC1 has also been associated with high proliferation in GC tumors, as it was found expressed in 37% of GC patients, with increased expression in advanced stages (53).…”