Chemo-resistant Gastric Cancer Associated Gene Expression Signature: Bioinformatics Analysis Based on Gene Expression Omnibus
| Autor: | Ting-Ting Bao, Zhijian Yang, Jun-Bao Liu, Wei Chen, Wei-bing Li, Tunyu Jian, Hai-xia Liu, Chao Yue, Robert M. Hoffman, Chen Yu, Dan Chen, Yun Cao |
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| Rok vydání: | 2019 |
| Předmět: |
Cancer Research
PLCB1 Clinical Decision-Making Docetaxel Biology 03 medical and health sciences 0302 clinical medicine Stomach Neoplasms Antineoplastic Combined Chemotherapy Protocols Databases Genetic Gene expression Biomarkers Tumor medicine GNAS complex locus Humans Gene Regulatory Networks Protein Interaction Maps Precision Medicine KEGG Gene Tegafur E2F2 Gene Expression Profiling ADCY9 Computational Biology Cancer General Medicine medicine.disease Gene Expression Regulation Neoplastic Drug Combinations Oxonic Acid Treatment Outcome Oncology Drug Resistance Neoplasm 030220 oncology & carcinogenesis Cancer research biology.protein Cisplatin Transcriptome |
| Zdroj: | Anticancer Research. 39:1689-1698 |
| ISSN: | 1791-7530 0250-7005 |
| DOI: | 10.21873/anticanres.13274 |
| Popis: | Background/aim This study aimed to identify biomarkers for predicting the prognosis of advanced gastric cancer patients who received docetaxel, cisplatin, and S-1 (DCS). Materials and methods Gene expression profiles were obtained from the Gene Expression Omnibus database (GSE31811). Gene-Ontology-enrichment and KEGG-pathway analysis were used for evaluating the biological functions of differentially-expressed genes. Protein-protein interaction (PPI) network and Kaplan-Meier survival analyses were employed to assess the prognostic values of hub genes. Results A total of 1,486 differentially expressed genes (DEGs) were identified, including 13 up-regulated and 1,473 down-regulated genes. KEGG pathways such as metabolic pathways, cell adhesion molecules (CAMs), PI3K-Akt signaling pathway and pathways in cancer were significantly represented. In the PPI network, the top ten hub genes ranked by degree were GNG7, PLCB1, CALML5, FGFR4, GRB2, JAK3, ADCY7, ADCY9, GNAS and KDR. Five DEGs, including ANTXR1, EFNA5, GAMT, E2F2 and NRCAM, were associated with relapse-free survival and overall survival. Conclusion ANTXR1, EFNA5, GAMT, E2F2 and NRCAM are potential biomarkers and therapeutic targets for DCS treatment in GC. |
| Databáze: | OpenAIRE |
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