期刊
BIOSCIENCE REPORTS
卷 40, 期 -, 页码 -出版社
PORTLAND PRESS LTD
DOI: 10.1042/BSR20202911
关键词
-
资金
- Natural Science Foundation of China [81873337, 81704116]
- Primary Research and Development Plan of Shandong Province [2019GSF107036, 2019GSF108176]
- Project of Transformation in High-tech Achievements [2013ZHZX2A0405]
- Natural Science Foundation of Shandong Province [ZR2019MH039]
- Science and Technology Development Grant of the State Administration of Traditional Chinese Medicine of Shandong Province [2017-174]
- Taishan Scholars [Tsqn 201812125]
- Innovation Project of Shandong Academy of Medical Sciences
- Academic Promotion Program of Shandong First Medical University [2019RC005]
Background: Ovarian cancer causes high mortality rate worldwide, and despite numerous attempts, the outcome for patients with ovarian cancer are still not well improved. Microarray-based gene expressional analysis provides with valuable information for discriminating functional genes in ovarian cancer development and progression. However, due to the differences in experimental design, the results varied significantly across individual datasets. Methods: In the present study, the data of gene expression in ovarian cancer were downloaded from Gene Expression Omnibus (GEO) and 16 studies were included. A meta-analysis based gene expression analysis was performed to identify differentially expressed genes (DEGs). The most differentially expressed genes in our meta-analysis were selected for gene expression and gene function validation. Results: A total of 972 DEGs with P-value < 0.001 were identified in ovarian cancer, including 541 up-regulated genes and 431 down-regulated genes, among which 92 additional DEGs were found as gained DEGs. Top five upand down-regulated genes were selected for the validation of gene expression profiling. Among these genes, up-regulated CD24 molecule (CD24), SRY (sex determining region Y)-box transcription factor 17 (SOX17), WFDC2, epithelial cell adhesion molecule (EPCAM), innate immunity activator (INAVA), and down-regulated aldehyde oxidase 1 (AOX1) were revealed to be with consistent expressional patterns in clinical patient samples of ovarian cancer. Gene functional analysis demonstrated that up-regulated WFDC2 and INAVA promoted ovarian cancer cell migration, WFDC2 enhanced cell proliferation, while down-regulated AOX1 was functional in inducing cell apoptosis of ovarian cancer. Conclusion: Our study shed light on the molecular mechanisms underlying the development of ovarian cancer, and facilitated the understanding of novel diagnostic and therapeutic targets in ovarian cancer.
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