- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05251883
A Study to Analyze Data on Metastatic Ovarian Cancer Using Multi-omics
May 17, 2023 updated by: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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.
Study Overview
Status
Recruiting
Conditions
Study Type
Observational
Enrollment (Anticipated)
200
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Huaiwu Lu, Study Director
- Phone Number: +86 18688395806
- Email: luhuaiwu@mail.sysu.edu.cn
Study Locations
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Guangdong
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Guangzhou, Guangdong, China
- Recruiting
- The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen Universit
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Contact:
- Huaiwu Lu, associate professor
- Phone Number: +8618688395806
- Email: luhuaiwu@mail.sysu.edu.cn
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
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.
Description
Inclusion Criteria:
- female, ≥18 years old;
- diagnosed as ovarian cancer by imaging and pathology;
- 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;
- received ovarian cancer surgery and Follow-up treatment;
- Patients voluntarily participate in the research of this subject, have good compliance, and can complete the enrollment by the requirements of the trial;
- Sign informed consent and agree to the collection and use of their data.
Exclusion Criteria:
- Patients who have received other anti-tumor treatments or received tumor surgery before enrollment;
- Patients with malignant tumors in other parts;
- Patients with uncontrollable neurological, psychiatric, or mental disorders;
- Poor compliance and inability to Cooperate and describe treatment responders.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Progression-Free-Survival
Time Frame: 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
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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
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Study Director: Huaiwu Lu, The Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12. Erratum In: CA Cancer J Clin. 2020 Jul;70(4):313.
- Ferlay J, Steliarova-Foucher E, Lortet-Tieulent J, Rosso S, Coebergh JW, Comber H, Forman D, Bray F. Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012. Eur J Cancer. 2013 Apr;49(6):1374-403. doi: 10.1016/j.ejca.2012.12.027. Epub 2013 Feb 26.
- Weidle UH, Birzele F, Kollmorgen G, Rueger R. Mechanisms and Targets Involved in Dissemination of Ovarian Cancer. Cancer Genomics Proteomics. 2016 11-12;13(6):407-423. doi: 10.21873/cgp.20004.
- Webb PM, Jordan SJ. Epidemiology of epithelial ovarian cancer. Best Pract Res Clin Obstet Gynaecol. 2017 May;41:3-14. doi: 10.1016/j.bpobgyn.2016.08.006. Epub 2016 Oct 3.
- Lheureux S, Braunstein M, Oza AM. Epithelial ovarian cancer: Evolution of management in the era of precision medicine. CA Cancer J Clin. 2019 Jul;69(4):280-304. doi: 10.3322/caac.21559. Epub 2019 May 17.
- Deng K, Yang C, Tan Q, Song W, Lu M, Zhao W, Lou G, Li Z, Li K, Hou Y. Sites of distant metastases and overall survival in ovarian cancer: A study of 1481 patients. Gynecol Oncol. 2018 Sep;150(3):460-465. doi: 10.1016/j.ygyno.2018.06.022. Epub 2018 Jul 9.
- Reid BM, Permuth JB, Sellers TA. Epidemiology of ovarian cancer: a review. Cancer Biol Med. 2017 Feb;14(1):9-32. doi: 10.20892/j.issn.2095-3941.2016.0084.
- Piver MS. Treatment of ovarian cancer at the crossroads: 50 years after single-agent melphalan chemotherapy. Oncology (Williston Park). 2006 Sep;20(10):1156, 1158. No abstract available.
Helpful Links
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 1, 2022
Primary Completion (Anticipated)
December 1, 2023
Study Completion (Anticipated)
December 1, 2026
Study Registration Dates
First Submitted
January 9, 2022
First Submitted That Met QC Criteria
February 22, 2022
First Posted (Actual)
February 23, 2022
Study Record Updates
Last Update Posted (Actual)
May 19, 2023
Last Update Submitted That Met QC Criteria
May 17, 2023
Last Verified
September 1, 2022
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- SYSEC-KY-KS-2021-215
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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University of California, DavisRecruitingBreast Cancer | Ovarian Cancer | Breast Neoplasm | Breast Carcinoma | Breast Cancer Stage IV | Breast Cancer Stage I | Breast Cancer Stage II | Invasive Breast Cancer | Cancer, Breast | Breast Cancer Stage III | Ovary Cancer | Malignant Tumor of Breast | Ovarian Cancer Stage IIIC | Ovarian Cancer Stage IV | Ovarian Cancer... and other conditionsUnited States
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