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Integrated analysis of the miRNA, gene and pathway regulatory network in gastric cancer
- Source :
- Oncology Reports. 35:1135-1146
- Publication Year :
- 2015
- Publisher :
- Spandidos Publications, 2015.
-
Abstract
- Gastric cancer is one of the most common malignant tumors worldwide; however, the efficacy of clinical treatment is limited. MicroRNAs (miRNAs) are a class of small non-coding RNAs that have been reported to play a key role in the development of cancer. They also provide novel candidates for targeted therapy. To date, in-depth studies on the molecular mechanisms of gastric cancer involving miRNAs are still absent. We previously reported that 5 miRNAs were identified as being significantly increased in gastric cancer, and the role of these miRNAs was investigated in the present study. By using bioinformatics tools, we found that more than 4,000 unique genes are potential downstream targets of gastric cancer miRNAs, and these targets belong to the protein class of nucleic acid binding, transcription factor, enzyme modulator, transferase and receptor. Pathway mapping showed that the targets of gastric cancer miRNAs are involved in the MAPK signaling pathway, pathways in cancer, the PI3K-Akt signaling pathway, the HTLV-1 signaling pathway and Ras signaling pathway, thus regulating cell growth, differentiation, apoptosis and metastasis. Analysis of the pathways related to miRNAs may provides potential drug targets for future therapy of gastric cancer.
- Subjects :
- 0301 basic medicine
Cancer Research
medicine.medical_treatment
Cellular differentiation
Apoptosis
Biology
Bioinformatics
Metastasis
Targeted therapy
03 medical and health sciences
0302 clinical medicine
Stomach Neoplasms
microRNA
medicine
Humans
Neoplasm Metastasis
Transcription factor
Oncogene
Cancer
Cell Differentiation
General Medicine
medicine.disease
Neoplasm Proteins
Gene Expression Regulation, Neoplastic
MicroRNAs
Cell Transformation, Neoplastic
030104 developmental biology
Oncology
Ras Signaling Pathway
Multigene Family
030220 oncology & carcinogenesis
Cancer research
Cell Division
Signal Transduction
Subjects
Details
- ISSN :
- 17912431 and 1021335X
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Oncology Reports
- Accession number :
- edsair.doi.dedup.....1050223f8fd284e8ae2349ea0a8fcdad