| Title |
Caffeic acid phenethyl ester activates pro-apoptotic and epithelial–mesenchymal transition-related genes in ovarian cancer cells A2780 and A2780cis
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, February 2016
|
| DOI | 10.1007/s11010-015-2652-3 |
| Pubmed ID | |
| Authors |
Claudia Gherman, Ovidiu Leonard Braicu, Oana Zanoaga, Anca Jurj, Valentina Pileczki, Mahafarin Maralani, Flaviu Drigla, Cornelia Braicu, Liviuta Budisan, Patriciu Achimas-Cadariu, Ioana Berindan-Neagoe |
| Abstract |
Ovarian cancer is a highly aggressive pathology, displaying a poor prognosis and chemoresistance to classical therapy. The present study was conducted to evaluate the effect of caffeic acid phenethyl ester (CAPE) on survival of ovarian cancer cell lines, A2780 (sensitive to cisplatin) and A2780cis (resistant to cisplatin). MTT assay was used to evaluate cell viability, while the apoptotic processes were examined by flow cytometry and qRT-PCR. A reduction of cell proliferation and activation of the apoptosis was observed in both cell lines. qRT-PCR evaluation demonstrated the activation of the pro-apoptotic genes (BAD, CASP8, FAS, FADD, p53) in both cell lines. The limited therapeutic effect in A2780 cells is explained by the activation of epithelial-mesenchymal transition-related genes (ZEB1, ZEB2, or TGFBB1) as displayed by Ingenuity Network analysis. Overall data suggest that CAPE can be used as an alternative in sensitizing cells to chemotherapy. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 20% |
| Student > Master | 5 | 17% |
| Student > Doctoral Student | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 8 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 33% |
| Agricultural and Biological Sciences | 4 | 13% |
| Medicine and Dentistry | 3 | 10% |
| Chemistry | 2 | 7% |
| Computer Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 February 2016.
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#20,303,950
of 22,842,950 outputs
Outputs from Molecular and Cellular Biochemistry
#1,803
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Outputs of similar age
#333,940
of 397,125 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#24
of 32 outputs
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