Machine Learning Predicts Survival and Mutations in Ovarian Metastases of Colorectal Cancer
Machine Learning-based Model for Prediction of Survival and Mutations in Ovarian Metastases of Colorectal Cancer
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Yuanxin Zhang, MD
- Phone Number: 8617372001179
- Email: zyx163yxdz@163.com
Study Locations
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-
Guangdong
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Guangzhou, Guangdong, China, 510655
- Recruiting
- Sixth Affiliated Hospital, Sun Yat-sen University
-
Contact:
- Huaiming Wang, MD
- Email: wanghm7@mail.sysu.edu.cn
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Principal Investigator:
- Huaiming Wang, MD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Histologically confirmed colorectal cancer
- Unilateral or bilateral ovarian masses confirmed by peroperative imaging examination
- Patient requiring resection of their ovarian and/or peritoneal carcinomatosis
- 18 ≤ Age ≤ 85
- World Health Organization performance status ≤ 1
- Life expectancy > 12 weeks
- Adequate haematological, liver and renal function
- Patient information and signature of the informed consent form before the start of any treatment procedures
Exclusion Criteria:
- Ovarian metastases of origin other than colorectal
- Primary ovarian tumor
- Clinical data missing
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Retrospective cohort
The cohort was retrospectively enrolled in The Sixth Affiliated Hospital, Sun Yat-sen University from August 2010 to August 2022.
It is a training cohort.
|
We develop and validate clinical models to predict patient survival and gene signatures in ovarian metastases of colorectal cancer.
|
|
Prospective cohort
The same inclusion/exclusion criteria were applied for the same center prospectively.
It is a validation cohort.
|
We develop and validate clinical models to predict patient survival and gene signatures in ovarian metastases of colorectal cancer.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall survival
Time Frame: At least 3-year follow up
|
Overall survival was defined as the time from surgery to death, or to the last follow-up.
|
At least 3-year follow up
|
|
Disease-free survival
Time Frame: At least 1-year follow up
|
Disease-free survival was defined as the interval between surgery and the first peritoneal or distant relapse or death from any cause.
|
At least 1-year follow up
|
|
Peritoneal-free survival
Time Frame: At least 1-year follow up
|
Peritoneal-free survival was defined as the interval between surgery and the first peritoneal relapse.
Ovarian metastasis has been shown to be a subtype of peritoneal metastasis.
|
At least 1-year follow up
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Rates of key gene mutation
Time Frame: At least 1-year follow up
|
Rates of key gene mutation, such as microsatellite instability-high/DNA mismatch repair
|
At least 1-year follow up
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Digestive System Diseases
- Pathologic Processes
- Neoplasms by Histologic Type
- Neoplasms
- Neoplasms by Site
- Adenocarcinoma
- Carcinoma
- Neoplasms, Glandular and Epithelial
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Gastrointestinal Diseases
- Colonic Diseases
- Intestinal Diseases
- Intestinal Neoplasms
- Rectal Diseases
- Neoplastic Processes
- Neoplasms, Cystic, Mucinous, and Serous
- Carcinoma, Signet Ring Cell
- Colorectal Neoplasms
- Neoplasm Metastasis
- Krukenberg Tumor
Other Study ID Numbers
Other Study ID Numbers
- wanghm7
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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