Kaiser, P C; Körner, M; Kappeler, A; Aebi, S (2005). Retinoid receptors in ovarian cancer: expression and prognosis. Annals of oncology, 16(9), pp. 1477-1487. Oxford University Press 10.1093/annonc/mdi265
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BACKGROUND
Ovarian cancer is frequently lethal despite aggressive multimodal therapy, and new therapies are therefore needed. Retinoids are potential candidate drugs: they prevent the development of ovarian carcinoma and enhance the efficacy of cytotoxic drugs in ovarian cancer cells. At present, little is known about the retinoid receptor expression in ovarian cancer.
PATIENTS AND METHODS
The retinoid receptors comprise two classes, retinoic acid receptors (RARs) and retinoid X receptors (RXRs), each with three subclasses, alpha, beta and gamma. We investigated the expression of the subtypes RARalpha, RARgamma, RXRalpha and RXRbeta by immunohistochemistry in ovarian cancers of 80 patients, and assessed their prognostic significance. In addition, we quantified the expression of retinoid receptor mRNA using real-time PCR and correlated the results with clinical characteristics.
RESULTS
RARalpha and RXRbeta were highly expressed in a majority of ovarian cancers, particularly in advanced stages. High expression of RARalpha was an independent negative prognostic factor of survival in addition to FIGO stage, age and p53 accumulation. The mRNA expression of retinoid receptors did not correlate with clinical properties of the tumors.
CONCLUSIONS
Retinoic acid receptors are frequently and strongly expressed in epithelial ovarian cancer and may be indicators of an adverse prognosis. This study provides the molecular basis for the therapeutic use of retinoids in ovarian cancer.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Medical Oncology 04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) 04 Faculty of Medicine > Service Sector > Institute of Pathology |
UniBE Contributor: |
Körner Jachertz, Meike, Kappeler, Andreas, Aebi, Stefan |
Subjects: |
600 Technology > 610 Medicine & health 500 Science > 570 Life sciences; biology |
ISSN: |
0923-7534 |
Publisher: |
Oxford University Press |
Language: |
English |
Submitter: |
Marceline Brodmann |
Date Deposited: |
24 Jun 2022 14:42 |
Last Modified: |
05 Dec 2022 14:33 |
Publisher DOI: |
10.1093/annonc/mdi265 |
PubMed ID: |
16012182 |
BORIS DOI: |
10.7892/boris.50364 |
URI: |
https://boris.unibe.ch/id/eprint/50364 |
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