Gastric cancer is one of the leading causes of cancer-related death worldwide. The transcription factor YY1 regulates diverse biological processes, including cell proliferation, development, DNA damage responses, and carcinogenesis. This study was designed to explore the role of YY1 regulated transcription in gastric cancer. YY1 silencing in gastric cancer cells has resulted in the inhibition of Wnt/β-catenin, JNK/MAPK, ERK/MAPK, ER, and HIF-1α signaling pathways. Genomewide mRNA profiling upon silencing the expression YY1 gene in gastric cancer cells and comparison with the previously identified YY1 regulated genes from other lineages revealed a moderate overlap among the YY1 regulated genes. Despite the differing genes, all the YY1 regulated gene sets were expressed in most of the intestinal subtype gastric tumors and a subset of diffuse subtype gastric tumors. Integrative functional genomic analysis of the YY1 gene sets revealed an association among the pathways Wnt/β-catenin, Rapamycin, Cyclin-D1, Myc, E2F, PDGF, and AKT. Further, the drugs capable of inhibiting YY1 mediated transcription were identified as suitable targeted therapeutic candidates for gastric tumors with activated YY1. The data emerging from the investigation would pave the way for the development of YY1-based targeted therapeutics for gastric cancer.
The identification of new drugs for the targeted therapy of gastric cancer remains an important need. The RAS/RAF/MEK/ERK/ELK1 signaling cascade is activated in many cancers, including gastric cancer. To identify the targetable inhibitors of the ERK/MAPK pathway, we performed a repurposing screening of a panel of antimicrobial agents in gastric cancer cells using an ERK/MAPK-driven firefly luciferase reporter assay. Multiple antibiotics were identified to inhibit ERK-mediated transcriptional activity. Among them, doxycycline showed high inhibition of ERK/MAPK-regulated transcriptional activity and the levels of ERK proteins. Doxycycline was further identified to inhibit the proliferation and the colony-and spheroid-forming potential of gastric cancer cells. By in vitro signaling pathway and genome-wide expression profiling analyses, doxycycline was identified to inhibit signaling pathways and transcriptional activities regulated by ER, Myc, E2F1, Wnt, SMAD2/3/4, Notch, and OCT4. Doxycycline was also found to activate p53-, ATF6-, NRF1/2-, and MTF1-mediated transcription and inhibit the transcription of histones, proteasomal genes, fibroblast growth factor, and other oncogenic factors. These observations show the multitargeting and targeted therapeutic features of doxycycline for a subset of gastric tumors.
The existing large number of gene expression profiles of tumour samples offers a great advantage for the integrative functional genomic exploration of molecular dysregulation in cancers. The clusters of genes (modules) derived from a gastric cancer (GC) coexpression network were explored to understand their clinical and functional significance. Among the modules derived from the GC mRNA expression network, six modules were relatively highly expressed in diffuse type gastric tumours. Elevated expression of genes related to extracellular matrix (ECM), angiogenesis, collagen and intracellular cytoskeletal components and immune response were identified in these modules. ECM-related modules exhibited an inverse correlation with modules representing the expression of immune response genes. A reduced expression of immune response genes was identified as the key factor associated with the aggressive features of diffuse gastric tumours, which is indicative of tumour progression involving the escape from immune surveillance in diffuse tumours. A part of the identified aggressive factors was common between intestinal and diffuse type tumours. The coexpressed modules and their expression patterns delineate the fine transition involved in cancer progression in the later stages of tumours. The identified modules could serve as surrogate gene-sets, indicating the molecular staging of GC aggressiveness with underlying biological interaction.
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