Identification of putative drugs for gastric adenocarcinoma utilizing differentially expressed genes and connectivity map
| Autor: | Gang Chen, Xin‑Gan Qin, Jin‑Shu Pang, Jie Ma, Xiao‑Ping Zou, Rong‑Quan He, Rui Zhang, Huang‑Qun Yan, Zu‑Xuan Chen, Ting‑Qing Gan, Zhen‑Bo Feng |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Cancer Research differentially expressed genes pathways Gene regulatory network Antineoplastic Agents Cell Cycle Proteins Computational biology Biology Adenocarcinoma Biochemistry 03 medical and health sciences 0302 clinical medicine Stomach Neoplasms Cell Line Tumor Databases Genetic Protein Interaction Mapping Genetics Humans Gene Regulatory Networks KEGG Cyclin B1 Molecular Biology Gene Regulation of gene expression Oncogene Gene Expression Profiling Computational Biology Nuclear Proteins Molecular Sequence Annotation Articles Cell cycle Molecular medicine Gene expression profiling Gene Expression Regulation Neoplastic 030104 developmental biology Gene Ontology Oncology Pharmacogenetics 030220 oncology & carcinogenesis Molecular Medicine gastric adenocarcinoma Tumor Suppressor Protein p53 connectivity map Signal Transduction |
| Zdroj: | Molecular Medicine Reports |
| ISSN: | 1791-3004 |
| Popis: | Gastric adenocarcinoma (GAC) is a challenging disease with dim prognosis even after surgery; hence, novel treatments for GAC are in urgent need. The aim of the present study was to explore new potential compounds interfering with the key pathways related to GAC progression. The differentially expressed genes (DEGs) between GAC and adjacent tissues were identified from The Cancer Genome Atlas (TCGA) and Genotype‑Tissue Expression (GTEx) database. Connectivity Map (CMap) was performed to screen candidate compounds for treating GAC. Subsequently, pathways affected by compounds were overlapped with those enriched by the DEGs to further identify compounds which had anti‑GAC potential. A total of 843 DEGs of GAC were identified. Via Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, 13 pathways were significantly enriched. Moreover, 78 compounds with markedly negative correlations with DEGs were revealed in CMap database (P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|