Predicting survival and mutations in ovarian cancer from colorectal origins
Machine Learning-based Model for Prediction of Survival and Mutations in Ovarian Metastases of Colorectal Cancer
This study is trying to see if certain genetic markers can help predict how long people with ovarian cancer that started in colorectal cancer will live and how their treatment can be improved.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 200 (estimated) |
| Ages | 18 Years to 85 Years |
| Sex | Female |
| Sponsor | Sixth Affiliated Hospital, Sun Yat-sen University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Trial ID | NCT06192030 on ClinicalTrials.gov |
What this trial studies
This study aims to develop and validate predictive models for survival outcomes and key mutations in patients with ovarian metastases of colorectal cancer. It employs a retrospective-prospective cohort approach, utilizing multimodal data to enhance prediction accuracy. Additionally, the study will analyze gene expression differences between patients with long and short survival times to identify potential biomarkers. The findings could lead to improved patient stratification and treatment planning.
Who should consider this trial
Good fit: Ideal candidates include adults aged 18 to 85 with histologically confirmed colorectal cancer and ovarian masses requiring surgical intervention.
Not a fit: Patients with ovarian metastases originating from cancers other than colorectal or those with primary ovarian tumors may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could provide personalized treatment strategies for patients with ovarian metastases of colorectal cancer, potentially improving survival rates.
How similar studies have performed: While similar predictive modeling approaches have been explored in oncology, this specific application to ovarian metastases of colorectal cancer is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
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
Where this trial is running
Guangzhou, Guangdong
- Sixth Affiliated Hospital, Sun Yat-sen University — Guangzhou, Guangdong, China (Recruiting)
Study contacts
- Study coordinator: Yuanxin Zhang, MD
- Email: zyx163yxdz@163.com
- Phone: 8617372001179
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.