OBJECTIVETo re-analyze the data published in order to explore plausible biological pathways that can be used to explain the anti-aging effect of curcumin.

METHODSMicroarray data generated from other study aiming to investigate effect of curcumin on extending lifespan of Drosophila melanogaster were further used for pathway prediction analysis. The differentially expressed genes were identified by using GeneSpring GX with a criterion of 3.0-fold change. Two Cytoscape plugins including BisoGenet and molecular complex detection (MCODE) were used to establish the protein-protein interaction (PPI) network based upon differential genes in order to detect highly connected regions. The function annotation clustering tool of Database for Annotation, Visualization and Integrated Discovery (DAVID) was used for pathway analysis.

RESULTSA total of 87 genes expressed differentially in D. melanogaster melanogaster treated with curcumin were identified, among which 50 were up-regulated significantly and 37 were remarkably down-regulated in D. melanogaster melanogaster treated with curcumin. Based upon these differential genes, PPI network was constructed with 1,082 nodes and 2,412 edges. Five highly connected regions in PPI networks were detected by MCODE algorithm, suggesting anti-aging effect of curcumin may be underlined through five different pathways including Notch signaling pathway, basal transcription factors, cell cycle regulation, ribosome, Wnt signaling pathway, and p53 pathway.

CONCLUSIONGenes and their associated pathways in D. melanogaster melanogaster treated with anti-aging agent curcumin were identified using PPI network and MCODE algorithm, suggesting that curcumin may be developed as an alternative therapeutic medicine for treating aging-associated diseases.

Aging ; drug effects ; genetics ; Animals ; Cell Cycle ; drug effects ; genetics ; Curcumin ; pharmacology ; Drosophila Proteins ; genetics ; metabolism ; Drosophila melanogaster ; drug effects ; genetics ; Gene Expression Regulation ; drug effects ; Gene Regulatory Networks ; drug effects ; Genes, Insect ; Protein Biosynthesis ; drug effects ; genetics ; Protein Interaction Maps ; drug effects ; genetics ; Receptors, Notch ; genetics ; metabolism ; Ribosomes ; drug effects ; metabolism ; Signal Transduction ; drug effects ; genetics ; Tumor Suppressor Protein p53 ; metabolism ; Wnt Signaling Pathway ; drug effects ; genetics

Pancreatic cancer (PC) is a devastating malignant tumor with high incidence and mortality rate worldwide. Meanwhile, the surgical approaches and drugs of this disease remain challenging. In recent years, reactive oxygen species (ROSs) study has become a hotspot in the field of PC research. ROSs may regulate tumor mic roenvironment (TME), cancer stem cells (CSCs) renewal and epithelial-mesenchymal transition (EMT), which result in drug-resistance and recurrence of the PC. Currently, TME that includes immune infiltrates, fibroblasts, vascular vessels and extracellular matrix has become a hotspot in the cancer research. Meanwhile, numerous researches have shown that ROSs-mediated TME plays a central role in the occurrence and development of PC. Targeting ROSs may be promising therapeutic treatments for the PC patients. Therefore, the purposes of the review were manifold: (1) to summarize the regulations of ROSs in tumorigenesis and drug-resistance of PC; (2) to investigate the modulation of ROSs in signaling cascades in PC; (3) to study the effects of ROSs in stromal cells in PC; (4) to generalize the potent therapies targeting ROSs in PC. Overall, this review summarized the current status of ROSs in PC research and suggested some potential anti-PC drugs that may target ROSs.
Epithelial-Mesenchymal Transition ; Humans ; Neoplastic Stem Cells ; Pancreatic Neoplasms ; Reactive Oxygen Species ; Tumor Microenvironment