J. Comput. Biol. - Bioinformatics method to analyze the mechanism of pancreatic cancer disorder.

Tópicos

{ gene(2352) biolog(1181) express(1162) }
{ cancer(2502) breast(956) screen(824) }
{ drug(1928) target(777) effect(648) }
{ import(1318) role(1303) understand(862) }
{ treatment(1704) effect(941) patient(846) }
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{ use(1733) differ(960) four(931) }
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{ data(1714) softwar(1251) tool(1186) }
{ control(1307) perform(991) simul(935) }
{ perform(1367) use(1326) method(1137) }
{ state(1844) use(1261) util(961) }
{ group(2977) signific(1463) compar(1072) }
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Resumo

Pancreatic cancer is an aggressive malignancy with a five-year mortality of 97-98% due to widespread metastatic disease. A better understanding of the molecular mechanism of pancreatic cancer is beneficial for the development of novel approaches for early detection and monitoring of pancreatic cancer. We aim to comprehensively identify the gene expression profile in pancreatic cancer and explore the molecular pathway of pancreatic cancer disorder. Using GSE15471 datasets downloaded from Gene Expression Omnibus data, we first screened the differentially expressed genes in pancreatic cancer using packages in R language. The key pathways of differentially expressed genes were investigated with the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and synergetic network construction based on weighted Jaccard index. A total of 13,211 differentially expressed genes were identified, and they were enriched in several pathways, such as mitogen-activated protein kinase (MAPK) signaling pathway, transforming growth factor (TGF)-beta signaling pathway, Janus kinase-signal transducers and activators of transcription (JAK-STAT) signaling pathway, and calcium signaling pathway, as well as cell cycle, focal adhesion, complement and coagulation cascades, and leukocyte transendothelial migration. Synergetic pathway network analysis revealed that cytokine-cytokine receptor interaction pathway, calcium signaling pathway, and focal adhesion pathway were three important pathways in the development of pancreatic cancer. The method introduced here is helpful to screen the key pathways for controlling pancreatic cancer progression and provide potential therapeutic targets in the treatment of pancreatic cancer.

Resumo Limpo

pancreat cancer aggress malign fiveyear mortal due widespread metastat diseas better understand molecular mechan pancreat cancer benefici develop novel approach earli detect monitor pancreat cancer aim comprehens identifi gene express profil pancreat cancer explor molecular pathway pancreat cancer disord use gse dataset download gene express omnibus data first screen differenti express gene pancreat cancer use packag r languag key pathway differenti express gene investig kyoto encyclopedia gene genom kegg pathway enrich analysi synerget network construct base weight jaccard index total differenti express gene identifi enrich sever pathway mitogenactiv protein kinas mapk signal pathway transform growth factor tgfbeta signal pathway janus kinasesign transduc activ transcript jakstat signal pathway calcium signal pathway well cell cycl focal adhes complement coagul cascad leukocyt transendotheli migrat synerget pathway network analysi reveal cytokinecytokin receptor interact pathway calcium signal pathway focal adhes pathway three import pathway develop pancreat cancer method introduc help screen key pathway control pancreat cancer progress provid potenti therapeut target treatment pancreat cancer

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