Clinical Trial

Sex-Specific Machine Learning Models to Predict Distant Metastasis in Liver Cancer

Study acronym: GENDER-HCC-MET
Completed
View on ClinicalTrials.gov →
Summary
This study looked at whether male and female patients with liver cancer (hepatocellular carcinoma, HCC) have different risks of the cancer spreading to distant parts of the body (distant metastasis). Liver cancer is much more common in men than in women, and women often have better survival rates. However, it was unclear if the factors that predict this spread are the same for both sexes. To answer this question, researchers analyzed information from a large, national cancer database (SEER) from 2004 to 2022, including 19,019 patients diagnosed with liver cancer. They studied factors like age, race, tumor stage, treatment received, and where patients lived. The team used advanced computer models (machine learning) to build separate prediction tools for men and women to estimate their risk of distant metastasis at the time of diagnosis.
Trial Details
NCT Number NCT07386639
Lead Sponsor Tongji University
Conditions Hepatocellular Carcinoma, Liver Cancer, Neoplasm Metastasis
Enrollment 19,019 participants
Start Date 2004-01-01
Primary Completion 2023-01 (estimated)
Study Completion 2025-12 (estimated)
Updated on ClinicalTrials.gov 2026-02-04