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Importance of Potential New Biomarkers in Patient with Serouse Ovarian Cancer.
- Source :
-
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2021 Jun 03; Vol. 11 (6). Date of Electronic Publication: 2021 Jun 03. - Publication Year :
- 2021
-
Abstract
- Ovarian cancer remains the gynecological cancer with the highest mortality rate. In our study, we compare a number of proteins from different effector pathways to assess their usefulness in the diagnosis of ovarian cancer. The tissue expression of the tested proteins was assessed by two methods: qRT-PCR and an immunohistochemical analysis. A significantly higher level of mRNA expression was found in the ovarian cancer group for YAP and TEAD4 ( p = 0.004 and p = 0.003, respectively). There was no statistical significance in the expression of mRNA for SMAD3 , and there was borderline statistical significance for SMAD2 between the groups of ovarian cancer patients and other subgroups of patients with simple cysts and healthy ovarian tissue ( p = 0.726 and p = 0.046, respectively). Significantly higher levels of transferrin receptor ( CD71 ), H2A.X , and ADH1A gene expression were found in the ovarian cancer group compared to the control group for YAP , and TEAD4 showed strong nuclear and cytoplasmic staining in ovarian carcinoma and weak staining in non-carcinoma ovarian samples, ADH1A1 showed strong staining in the cytoplasm of carcinoma sections and a weak positive reaction in the non-carcinoma section, H2A.X showed strong positive nuclear staining in carcinoma sections and moderate positive staining in non-carcinoma samples, and CD71 showed moderate positive staining in carcinoma and non-carcinoma samples. YAP, TEAD4, and ADH1A proteins appear to be promising biomarkers in the diagnosis of ovarian cancer.
Details
- Language :
- English
- ISSN :
- 2075-4418
- Volume :
- 11
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Diagnostics (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 34205023
- Full Text :
- https://doi.org/10.3390/diagnostics11061026