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Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer
Endocrine-disrupting chemicals (EDCs) can exert multiple deleterious effects and have been implicated in carcinogenesis. The xenoestrogen Bisphenol A (BPA) that is found in various consumer products has been involved in the dysregulation of numerous signalling pathways. In this paper, we present the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125610/ https://www.ncbi.nlm.nih.gov/pubmed/34062972 http://dx.doi.org/10.3390/jcm10091979 |
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author | Zahra, Aeman Dong, Qiduo Hall, Marcia Jeyaneethi, Jeyarooban Silva, Elisabete Karteris, Emmanouil Sisu, Cristina |
author_facet | Zahra, Aeman Dong, Qiduo Hall, Marcia Jeyaneethi, Jeyarooban Silva, Elisabete Karteris, Emmanouil Sisu, Cristina |
author_sort | Zahra, Aeman |
collection | PubMed |
description | Endocrine-disrupting chemicals (EDCs) can exert multiple deleterious effects and have been implicated in carcinogenesis. The xenoestrogen Bisphenol A (BPA) that is found in various consumer products has been involved in the dysregulation of numerous signalling pathways. In this paper, we present the analysis of a set of 94 genes that have been shown to be dysregulated in presence of BPA in ovarian cancer cell lines since we hypothesised that these genes might be of biomarker potential. This study sought to identify biomarkers of disease and biomarkers of disease-associated exposure. In silico analyses took place using gene expression data extracted from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. Differential expression was further validated at protein level using immunohistochemistry on an ovarian cancer tissue microarray. We found that 14 out of 94 genes are solely dysregulated in the presence of BPA, while the remaining 80 genes are already dysregulated (p-value < 0.05) in their expression pattern as a consequence of the disease. We also found that seven genes have prognostic power for the overall survival in OC in relation to their expression levels. Out of these seven genes, Keratin 4 (KRT4) appears to be a biomarker of exposure-associated ovarian cancer, whereas Guanylate Binding Protein 5 (GBP5), long intergenic non-protein coding RNA 707 (LINC00707) and Solute Carrier Family 4 Member 11 (SLC4A11) are biomarkers of disease. BPA can exert a plethora of effects that can be tissue- or cancer-specific. Our in silico findings generate a hypothesis around biomarkers of disease and exposure that could potentially inform regulation and policy making. |
format | Online Article Text |
id | pubmed-8125610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81256102021-05-17 Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer Zahra, Aeman Dong, Qiduo Hall, Marcia Jeyaneethi, Jeyarooban Silva, Elisabete Karteris, Emmanouil Sisu, Cristina J Clin Med Article Endocrine-disrupting chemicals (EDCs) can exert multiple deleterious effects and have been implicated in carcinogenesis. The xenoestrogen Bisphenol A (BPA) that is found in various consumer products has been involved in the dysregulation of numerous signalling pathways. In this paper, we present the analysis of a set of 94 genes that have been shown to be dysregulated in presence of BPA in ovarian cancer cell lines since we hypothesised that these genes might be of biomarker potential. This study sought to identify biomarkers of disease and biomarkers of disease-associated exposure. In silico analyses took place using gene expression data extracted from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. Differential expression was further validated at protein level using immunohistochemistry on an ovarian cancer tissue microarray. We found that 14 out of 94 genes are solely dysregulated in the presence of BPA, while the remaining 80 genes are already dysregulated (p-value < 0.05) in their expression pattern as a consequence of the disease. We also found that seven genes have prognostic power for the overall survival in OC in relation to their expression levels. Out of these seven genes, Keratin 4 (KRT4) appears to be a biomarker of exposure-associated ovarian cancer, whereas Guanylate Binding Protein 5 (GBP5), long intergenic non-protein coding RNA 707 (LINC00707) and Solute Carrier Family 4 Member 11 (SLC4A11) are biomarkers of disease. BPA can exert a plethora of effects that can be tissue- or cancer-specific. Our in silico findings generate a hypothesis around biomarkers of disease and exposure that could potentially inform regulation and policy making. MDPI 2021-05-05 /pmc/articles/PMC8125610/ /pubmed/34062972 http://dx.doi.org/10.3390/jcm10091979 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zahra, Aeman Dong, Qiduo Hall, Marcia Jeyaneethi, Jeyarooban Silva, Elisabete Karteris, Emmanouil Sisu, Cristina Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer |
title | Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer |
title_full | Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer |
title_fullStr | Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer |
title_full_unstemmed | Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer |
title_short | Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer |
title_sort | identification of potential bisphenol a (bpa) exposure biomarkers in ovarian cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125610/ https://www.ncbi.nlm.nih.gov/pubmed/34062972 http://dx.doi.org/10.3390/jcm10091979 |
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