Systems Oncology Approach to Optimize Ovarian Cancer Treatment
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 500
- 试验地点
- 1
- 主要终点
- Recruitment and collection of real-world clinical data from ovarian cancer patients
研究概览
简要总结
The overall aim is to identify effective therapeutic strategies to ovarian cancer (OC) using serial tumor, ascites and blood samples, and carry out state-of-the-art sequencing approaches, functional assays and associated bioinformatics to understand mechanisms behind chemoresistance in OC and identify new treatment options for OC patients. In this observational trial, we will systematically collect, analyze and interpret functional, molecular and clinical data from real-world ovarian cancer patients.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •Patients diagnosed with ovarian cancer
- •Available tumor tissue/blood samples
排除标准
- •Inability to consent to the study
结局指标
主要结局
Recruitment and collection of real-world clinical data from ovarian cancer patients
时间窗: 5 years
Prospective recruitment and collection of clinical data from 500 ovarian cancer patients. Fraction of patients from which the collection of clinical data including patient age, tumor stage, histological diagnoses have been collected.
Successful collection and translational analysis of biospecimens
时间窗: 5 years
Fraction of the recruited patients, from which tumor, ascites, and/or peripheral blood samples that have been successfully collected and subjected to molecular profiling.
次要结局
- Discovery of candidate prognostic and predictive biomarkers(5 years)
研究者
Anniina Färkkilä
Assistant Professor, Specialist in Gynecology
University of Helsinki