ArticleJournal of ovarian research2020
Integrative analysis of the common genetic characteristics in ovarian cancer stem cells sorted by multiple approaches.
Article in Journal of ovarian research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Ovarian Cancer Stem Cells: Mechanisms of Progression and Therapeutic Strategies.Oncology research · 2026Review
- Signatures of tumor microenvironment-related genes and long noncoding RNAs predict poor prognosis in osteosarcoma.PloS one · 2025Article
- Wnt antagonist as therapeutic targets in ovarian cancer.The international journal of biochemistry & cell biology · 2022Review
- Article
- Downregulated Dual-Specificity Protein Phosphatase 1 in Ovarian Carcinoma: A Comprehensive Study With Multiple Methods.Pathology oncology research : POR · 2022Article
- Prediction of Key Candidate Genes for Platinum Resistance in Ovarian Cancer.International journal of general medicine · 2021Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundOvarian cancer is the second fatal malignancy of the female reproductive system. Based on the cancer stem cell (CSC) theory, its poor prognosis of ovarian cancer attributed to tumor recurrence caused by CSCs. A variety of cell surface-specific markers have been employed to identify ovarian cancer stem cells (OCSCs). In this study, we attempted to explore the common feature in ovarian cancer stem cells sorted by multiple approaches.
methodsWe collected the gene expression profiles of OCSCs were from 5 public cohorts and employed R software and Bioconductor packages to establish differently expressed genes (DEGs) between OCSCs and parental cells. We extracted the integrated DEGs by protein-protein interaction (PPI) network construction and explored potential treatment by the Cellminer database.
resultsWe identified and integrated the DEGs of OCSCs sorted by multiple isolation approaches. Besides, we identified OCSCs share characteristics in the lipid metabolism and extracellular matrix changes. Moreover, we obtained 16 co-expressed core genes, such as FOXQ1, MMP7, AQP5, RBM47, ETV4, NPW, SUSD2, SFRP2, IDO1, ANPEP, CXCR4, SCNN1A, SPP1 and IFI27 (upregulated) and SERPINE1, DUSP1, CD40, and IL6 (downregulated). Through correlation analysis, we screened out ten potential drugs to target the core genes.
conclusionBased on the comprehensive analysis of the genomic datasets with different sorting methods of OCSCs, we figured out the common driving genes to regulating OCSC and obtained ten new potential therapies for eliminating ovarian cancer stem cells. Hence, the findings of our study might have potential clinical significance.
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