{"title":"Low androgen/progesterone or high oestrogen/androgen receptors ratio in serous ovarian cancer predicts longer survival","authors":"Justyna Gogola-Mruk , Miłosz Pietrus , Maryla Piechowicz , Katarzyna Milian-Ciesielska , Paulina Głód , Agnieszka Wolnicka-Glubisz , Joanna Szpor , Anna Ptak","doi":"10.1016/j.repbio.2024.100917","DOIUrl":null,"url":null,"abstract":"<div><p>The treatment of ovarian cancer (OC) remains one of the greatest challenges in gynaecological oncology. The presence of classic steroid receptors in OC makes hormone therapy an attractive option; however, the response of OC to hormone therapy is modest. Here, we compared the expression patterns of progesterone (PGR), androgen (AR) and oestrogen alpha (ERα) receptors between serous OC cell lines and non-cancer ovarian cells. These data were analysed in relation to steroid receptor expression profiles from patient tumour samples and survival outcomes using a bioinformatics approach. The results showed that ERα, PGR and AR were co-expressed in OC cell lines, and patient samples from high-grade and low-grade OC co-expressed at least two steroid receptors. High AR expression was negatively correlated, whereas ERα and PGR expression was positively correlated with patient survival. AR showed the opposite expression pattern to that of ERα and PGR in type 1 (SKOV-3) and 2 (OVCAR-3) OC cell lines compared with non-cancer (HOSEpiC) ovarian cells, with AR downregulated in type 1 and upregulated in type 2 OC. A low AR/PGR ratio and a high ESR1/AR ratio were associated with favourable survival outcomes in OC compared with other receptor ratios. Although the results must be interpreted with caution because of the small number of primary tumour samples analysed, they nevertheless suggest that the evaluation of ERα, AR and PGR by immunohistochemistry should be performed in patient biological material to plan future clinical trials.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1642431X24000639/pdfft?md5=732e5472dfe8d015b52e9fa84e3942c5&pid=1-s2.0-S1642431X24000639-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1642431X24000639","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
The treatment of ovarian cancer (OC) remains one of the greatest challenges in gynaecological oncology. The presence of classic steroid receptors in OC makes hormone therapy an attractive option; however, the response of OC to hormone therapy is modest. Here, we compared the expression patterns of progesterone (PGR), androgen (AR) and oestrogen alpha (ERα) receptors between serous OC cell lines and non-cancer ovarian cells. These data were analysed in relation to steroid receptor expression profiles from patient tumour samples and survival outcomes using a bioinformatics approach. The results showed that ERα, PGR and AR were co-expressed in OC cell lines, and patient samples from high-grade and low-grade OC co-expressed at least two steroid receptors. High AR expression was negatively correlated, whereas ERα and PGR expression was positively correlated with patient survival. AR showed the opposite expression pattern to that of ERα and PGR in type 1 (SKOV-3) and 2 (OVCAR-3) OC cell lines compared with non-cancer (HOSEpiC) ovarian cells, with AR downregulated in type 1 and upregulated in type 2 OC. A low AR/PGR ratio and a high ESR1/AR ratio were associated with favourable survival outcomes in OC compared with other receptor ratios. Although the results must be interpreted with caution because of the small number of primary tumour samples analysed, they nevertheless suggest that the evaluation of ERα, AR and PGR by immunohistochemistry should be performed in patient biological material to plan future clinical trials.