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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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06192030
Enrollment
200
Registered
2024-01-05
Start date
2022-08-27
Completion date
2025-08-31
Last updated
2024-01-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ovarian Metastases of Colorectal Cancer

Keywords

Krukenberg tumor

Brief summary

The study aimed to develop and validate models to predict survival outcome and key mutations in patients with ovarian metastases of colorectal cancer, as well as to compare the differential gene expression between long-survival group and short-survival group.

Detailed description

The investigator performed a retrospective-prospective cohort study with the aim of developing and validating comprehensive models to predict survival outcome and key mutations from multimodality data in patients with ovarian metastases of colorectal cancer. Secondly, the investigator aimed to compare the differential gene expression between long-survival group and short-survival group.

Interventions

OTHERPrediction model

We develop and validate clinical models to predict patient survival and gene signatures in ovarian metastases of colorectal cancer.

Sponsors

Sixth Affiliated Hospital, Sun Yat-sen University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 85 Years
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Overall survivalAt least 3-year follow upOverall survival was defined as the time from surgery to death, or to the last follow-up.
Disease-free survivalAt least 1-year follow upDisease-free survival was defined as the interval between surgery and the first peritoneal or distant relapse or death from any cause.
Peritoneal-free survivalAt least 1-year follow upPeritoneal-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.

Secondary

MeasureTime frameDescription
Rates of key gene mutationAt least 1-year follow upRates of key gene mutation, such as microsatellite instability-high/DNA mismatch repair

Countries

China

Contacts

Primary ContactYuanxin Zhang, MD
zyx163yxdz@163.com8617372001179

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026