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Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer
This paper investigates the expression of the CREB1 gene in ovarian cancer (OV) by deeply excavating the gene information in the multiple databases and the mechanism thereof. In short, we found that the expression of the CREB1 gene in ovarian cancer tissue was significantly higher than that of norma...
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/PMC8073701/ https://www.ncbi.nlm.nih.gov/pubmed/33921660 http://dx.doi.org/10.3390/jpm11040316 |
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author | Li, Chia-Jung Lin, Li-Te Chu, Pei-Yi Chiang, An-Jen Tsai, Hsiao-Wen Chiu, Yi-Han Huang, Mei-Shu Wen, Zhi-Hong Tsui, Kuan-Hao |
author_facet | Li, Chia-Jung Lin, Li-Te Chu, Pei-Yi Chiang, An-Jen Tsai, Hsiao-Wen Chiu, Yi-Han Huang, Mei-Shu Wen, Zhi-Hong Tsui, Kuan-Hao |
author_sort | Li, Chia-Jung |
collection | PubMed |
description | This paper investigates the expression of the CREB1 gene in ovarian cancer (OV) by deeply excavating the gene information in the multiple databases and the mechanism thereof. In short, we found that the expression of the CREB1 gene in ovarian cancer tissue was significantly higher than that of normal ovarian tissue. Kaplan–Meier survival analysis showed that the overall survival was significantly shorter in patients with high expression of the CREB1 gene than those in patients with low expression of the CREB1 gene, and the prognosis of patients with low expression of the CREB1 gene was better. The CREB1 gene may play a role in the occurrence and development of ovarian cancer by regulating the process of protein. Based on differentially expressed genes, 20 small-molecule drugs that potentially target CREB1 with abnormal expression in OV were obtained from the CMap database. Among these compounds, we found that naloxone has the greatest therapeutic value for OV. The high expression of the CREB1 gene may be an indicator of poor prognosis in ovarian cancer patients. Targeting CREB1 may be a potential tool for the diagnosis and treatment of OV. |
format | Online Article Text |
id | pubmed-8073701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80737012021-04-27 Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer Li, Chia-Jung Lin, Li-Te Chu, Pei-Yi Chiang, An-Jen Tsai, Hsiao-Wen Chiu, Yi-Han Huang, Mei-Shu Wen, Zhi-Hong Tsui, Kuan-Hao J Pers Med Article This paper investigates the expression of the CREB1 gene in ovarian cancer (OV) by deeply excavating the gene information in the multiple databases and the mechanism thereof. In short, we found that the expression of the CREB1 gene in ovarian cancer tissue was significantly higher than that of normal ovarian tissue. Kaplan–Meier survival analysis showed that the overall survival was significantly shorter in patients with high expression of the CREB1 gene than those in patients with low expression of the CREB1 gene, and the prognosis of patients with low expression of the CREB1 gene was better. The CREB1 gene may play a role in the occurrence and development of ovarian cancer by regulating the process of protein. Based on differentially expressed genes, 20 small-molecule drugs that potentially target CREB1 with abnormal expression in OV were obtained from the CMap database. Among these compounds, we found that naloxone has the greatest therapeutic value for OV. The high expression of the CREB1 gene may be an indicator of poor prognosis in ovarian cancer patients. Targeting CREB1 may be a potential tool for the diagnosis and treatment of OV. MDPI 2021-04-19 /pmc/articles/PMC8073701/ /pubmed/33921660 http://dx.doi.org/10.3390/jpm11040316 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 Li, Chia-Jung Lin, Li-Te Chu, Pei-Yi Chiang, An-Jen Tsai, Hsiao-Wen Chiu, Yi-Han Huang, Mei-Shu Wen, Zhi-Hong Tsui, Kuan-Hao Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer |
title | Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer |
title_full | Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer |
title_fullStr | Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer |
title_full_unstemmed | Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer |
title_short | Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer |
title_sort | identification of novel biomarkers and candidate drug in ovarian cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073701/ https://www.ncbi.nlm.nih.gov/pubmed/33921660 http://dx.doi.org/10.3390/jpm11040316 |
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