Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Use of New MolEcular MarkErs for a persoNalized Therapy in Ovarian Cancer-MEMENTO

Centro di Riferimento Oncologico - Aviano · 2018
ClinicalTrials.gov · Datasets · License: Public Domain · 2018
Open Source ↗
ovarian-cancer
Ovarian cancer (OC) is the leading cause of death from gynecologic cancer. It is estimated that 22,440 new cases of EOC will be diagnosed in 2017 with an estimated 14,080 EOC deaths. Several different histological subtypes of OC can be identified. Over 90% of malignant ovarian tumors are epithelial cancers (EOC), which are then classified into 5 broad histological subtypes: serous, endometrioid, mucinous, clear cell and mixed or carcinosarcomatous mullerian tumors. Almost 10 years ago, a new classification was proposed that separated ovarian cancers into type I and II tumors. Type II tumors included high-grade serous, which frequently contain mutations in p53, NF1, BRCA1, and BRCA2 and CDK125. Serous carcinomas represent the vast majority of primary malignant ovarian tumors (75%-80%), among these high-grade serous (HGSOC) accounts for 85%-90% and for the majority of the deaths due to ovarian cancer. The 5-year survival rate for EOC is only 46% because \>60% of patients are diagnosed with advanced disease. Patients with advanced stage EOC are typically managed with cytoreductive surgery and perioperative platinum-based chemotherapy, either in the adjuvant setting or with neoadjuvant chemotherapy and interval debulking surgery. Although primary advanced stage EOC is initially sensitive to this treatment paradigm, \>75% will eventually recur. Patients with recurrent disease are treated with additional lines of chemotherapy that may increase survival but is ultimately not curative. Given the high relapse rate and poor prognosis of advanced stage EOC, interest is increasing in the development of new approaches to treat recurrent EOC.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 875125
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive