Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10362/143167| Título: | Harnessing complex metabolic signatures to predict drug efficacy in ovarian cancer |
| Autor: | Mendes, Ana Rita Soares |
| Orientador: | Isidro, Inês Brito, Catarina |
| Palavras-chave: | precision medicine ovarian cancer |
| Data de Defesa: | 4-Jul-2022 |
| Resumo: | "Ovarian carcinoma (OvC) is the most lethal gynecologic malignancy. Unfortunately, most cases are diagnosed at the later stages of the disease, impacting patient outcomes, resulting in a 5-year survival rate of less than 40%. The standard-of-care (SOC) treatment consists of cytoreduction surgery for tumor debulking and adjuvant chemotherapy, comprising a combination of platinum (cisplatin or carboplatin) with taxane (paclitaxel or docetaxel) agents.(...)" |
| URI: | http://hdl.handle.net/10362/143167 |
| Designação: | Dissertation presented to obtain the Ph.D degree in Bioengineering |
| Aparece nas colecções: | ITQB: CBL - PhD Theses |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| R Mendes PhD Thesis 2022_july2022.pdf | 7,9 MB | Adobe PDF | Ver/Abrir |
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