ArticleExperimental and therapeutic medicine2010
Gene expression patterns in the histopathological classification of epithelial ovarian cancer.
Article in Experimental and therapeutic medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Sperm DNA methylation is predominantly stable in mice offspring born after transplantation of long-term cultured spermatogonial stem cells.Clinical epigenetics · 2023Article
- Performance Analysis of Ovarian Cancer Detection and Classification for Microarray Gene Data.BioMed research international · 2022Article
- High expression of interleukin-enhancer binding factor 3 predicts poor prognosis in patients with lung adenocarcinoma.Oncology letters · 2020Article
- High Energy Particle Radiation-associated Oncogenic Transformation in Normal Mice: Insight into the Connection between Activation of Oncotargets and Oncogene Addiction.Scientific reports · 2016Article
- Novel interactions between the HTLV antisense proteins HBZ and APH-2 and the NFAR protein family: Implications for the HTLV lifecycles.Virology · 2016Article
- Upregulation of neuroglobin expression and changes in serum redox indices in a rat model of middle cerebral artery occlusion.Molecular medicine reports · 2015Article
- Tal2 expression is induced by all-trans retinoic acid in P19 cells prior to acquisition of neural fate.Scientific reports · 2014Article
- Development and Validation of a RNA Binding Protein-Associated Prognostic Model for Hepatocellular Carcinoma.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The purpose of this study was to screen cancer-related genes and to identify histopathological gene expression patterns as potential biomarkers in human epithelial ovarian cancer (EOC). Fifty genes were screened by reverse-transcription polymerase chain reaction assay with cDNA from 83 EOC tissues and 48 normal ovarian specimens of ovarian cancer patients and evaluated by gel electrophoresis analysis. Twenty expressed genes were assessed by real-time relative-quantity (RQ)-PCR in 30 EOC specimens for gene signature study. Four genes, TAL2, EGF, ILF3 and UBE2I, were investigated for gene expression patterns in histopathological classification of EOC. RQ-value (Ct, ΔCt, ΔΔCt, RQ and gene expression plots) was generated by ABI 7500 Fast System SDS Software (version 1.4). SPSS 15.0 software was used for statistical analysis. Using real-time RQ-PCR, we found that TAL2, EGF, ILF3 and UBE2I demonstrated distinct expression patterns in histological types of epithelial ovarian cancer. The expression of ILF3 and UBE2I in tumors was significantly higher than in normal tissue, with extremely high expression in serous carcinomas compared to mucinous, endometrium and clear cell carcinomas. In addition, ILF3 and UBE2I were overexpressed in advanced stage and advanced grade ovarian cancer, compared to early stage or well-differentiated ovarian cancer. This is the first report of TAL2 and ILF3 expression in the normal human ovary and epithelial ovarian cancer. Our results indicate that overexpression of ILF3 and UBE2I in advanced stage and advanced grade suggest that these two genes may play an important role in tumorigenesis/tumor progression and pathological differentiation of the disease. Notably, ILF3 plays a role in DNA binding activity and transcriptional and post-transcriptional regulation; UBE2I is required in ubiquitination and sumoylation and is involved in DNA repair and apoptosis of cells. Further investigations to reveal the molecular mechanisms related to the activation of ILF3 and UBE2I in the development of EOC are warranted.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.