Clinical trial NCT05251883: A Study to Analyze Data on Metastatic Ovarian Cancer Using Multi-omics
Official title: A Study to Analyze Data on Metastatic Ovarian Cancer Using Multi-omics
Study type: OBSERVATIONAL
Overall status: RECRUITING
Conditions: Ovarian Cancer
Keywords: multi-omics
ovarian cancer
Lead sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Sponsor class: OTHER
First posted: 2022-02-23
Enrollment: 200
Sex: FEMALE
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: All patients with metastatic ovarian cancer from the gynecology clinical department of the Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University.

Brief summary: As one of the most common malignant tumors in women, the incidence of ovarian cancer is expected to increase year by year. Due to its lack of typical symptoms and effective screening methods, and the characteristics of implantation and distant metastasis, more than 70% of ovarian cancers were in the metastatic stage at the time of diagnosis. In this study, the investigators will collect large samples of tissue from patients with ovarian cancer, conduct multi-omics studies, and mapped the characteristic maps of the genome and transcriptome of patients with metastatic ovarian cancer, and explore the molecular mechanisms that can be used as new targets for the treatment of ovarian cancer. Besides, the investigators will design and establish a database of metastatic ovarian cancer, integrate multiple omics, imaging, pathology, and clinical information to study their potential relevance, and analyze the relationship between various omics, imaging, pathology, and prognosis, establish ovaries Cancer prediction model.


Eligibility criteria: Inclusion Criteria:

1. female, ≥18 years old;
2. diagnosed as ovarian cancer by imaging and pathology;
3. did not receive any anti-tumor drug treatment before surgery in the gynecology clinical department of the Sun Yat Sen Memorial Hospital of Sun Yat-Sen University;
4. received ovarian cancer surgery and Follow-up treatment;
5. Patients voluntarily participate in the research of this subject, have good compliance, and can complete the enrollment by the requirements of the trial;
6. Sign informed consent and agree to the collection and use of their data.

Exclusion Criteria:

1. Patients who have received other anti-tumor treatments or received tumor surgery before enrollment;
2. Patients with malignant tumors in other parts;
3. Patients with uncontrollable neurological, psychiatric, or mental disorders;
4. Poor compliance and inability to Cooperate and describe treatment responders.

Primary outcomes:
measure: Progression-Free-Survival
timeFrame: The sample will be tested immediately after they are taken from patients and the statistical analysis will be taken through study completion, an average of 3 year
Secondary outcomes:
Other outcomes:
Locations:
city: Guangzhou
country: China
facility: The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen Universit
state: Guangdong
Study officials:
affiliation: The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
name: Huaiwu Lu
role: STUDY_DIRECTOR
References:
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