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Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer
Ovarian cancer is a serious threat to women's health; its early diagnosis rate is low and prone to metastasis and recurrence. The current conventional treatment for ovarian cancer is a combination of platinum and paclitaxel chemotherapy based on surgery. The recurrence and progression of ovaria...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176232/ https://www.ncbi.nlm.nih.gov/pubmed/34093804 http://dx.doi.org/10.7150/jca.47695 |
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author | Liu, Shuna Wu, Ming Wang, Fang |
author_facet | Liu, Shuna Wu, Ming Wang, Fang |
author_sort | Liu, Shuna |
collection | PubMed |
description | Ovarian cancer is a serious threat to women's health; its early diagnosis rate is low and prone to metastasis and recurrence. The current conventional treatment for ovarian cancer is a combination of platinum and paclitaxel chemotherapy based on surgery. The recurrence and progression of ovarian cancer with poor prognosis is a major challenge in treatment. With rapid advances in technology, understanding of the molecular pathways involved in ovarian cancer recurrence and progression has increased, biomarker-guided treatment options can greatly improve the prognosis of patients. This review systematically discusses and summarizes existing and new information on prognostic factors and biomarkers of ovarian cancer, which is expected to improve the clinical management of patients and lead to effective personalized treatment. |
format | Online Article Text |
id | pubmed-8176232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-81762322021-06-04 Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer Liu, Shuna Wu, Ming Wang, Fang J Cancer Review Ovarian cancer is a serious threat to women's health; its early diagnosis rate is low and prone to metastasis and recurrence. The current conventional treatment for ovarian cancer is a combination of platinum and paclitaxel chemotherapy based on surgery. The recurrence and progression of ovarian cancer with poor prognosis is a major challenge in treatment. With rapid advances in technology, understanding of the molecular pathways involved in ovarian cancer recurrence and progression has increased, biomarker-guided treatment options can greatly improve the prognosis of patients. This review systematically discusses and summarizes existing and new information on prognostic factors and biomarkers of ovarian cancer, which is expected to improve the clinical management of patients and lead to effective personalized treatment. Ivyspring International Publisher 2021-05-13 /pmc/articles/PMC8176232/ /pubmed/34093804 http://dx.doi.org/10.7150/jca.47695 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Review Liu, Shuna Wu, Ming Wang, Fang Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer |
title | Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer |
title_full | Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer |
title_fullStr | Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer |
title_full_unstemmed | Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer |
title_short | Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer |
title_sort | research progress in prognostic factors and biomarkers of ovarian cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176232/ https://www.ncbi.nlm.nih.gov/pubmed/34093804 http://dx.doi.org/10.7150/jca.47695 |
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