Biomarkers of platinum resistance in ovarian cancer: what can we use to improve treatment
Autor: | Denise Tang, Nikola A. Bowden, Belinda van Zyl |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Oncology Cancer Research medicine.medical_specialty endocrine system diseases DNA repair Endocrinology Diabetes and Metabolism Disease 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Endocrinology Internal medicine medicine Humans Epigenetics Platinum Cisplatin Ovarian Neoplasms business.industry Combination chemotherapy medicine.disease female genital diseases and pregnancy complications Carboplatin 030104 developmental biology Paclitaxel chemistry Drug Resistance Neoplasm 030220 oncology & carcinogenesis Female business Ovarian cancer medicine.drug |
Zdroj: | Endocrine-related cancer. 25(5) |
ISSN: | 1479-6821 |
Popis: | Ovarian cancer has poor survival rates due to a combination of diagnosis at advanced disease stages and disease recurrence as a result of platinum chemotherapy resistance. High-grade serous ovarian cancer (HGSOC), the most common ovarian cancer subtype, is conventionally treated with surgery and paclitaxel/carboplatin combination chemotherapy. Initial response rates are 60–80%, but eventually the majority of patients become platinum-resistant with subsequent relapses. Extensive research on individual biomarkers of platinum resistance has revealed many potential targets for the development new treatments. While this is ongoing, there are also epigenetic, DNA repair, genome and immune changes characterised in platinum-resistant HGSOC that can be targeted with current therapies. This review discusses biomarkers of platinum chemotherapy resistance in ovarian cancer with a focus on biomarkers that are targetable with alternative treatment combinations to those currently used. After decades of research focused on elucidating the biological cause of platinum resistance, future research needs to focus on using this knowledge to overcome resistance for patients with ovarian cancer. |
Databáze: | OpenAIRE |
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