AI reveals gender differences in liver cancer spread risk
NCT ID NCT07386639
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looked at whether liver cancer spreads differently in men and women. Researchers analyzed data from over 19,000 patients and used computer models to create separate prediction tools for each gender. The goal was to better understand risk factors for cancer spread at the time of diagnosis.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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19,019 people
The number who actually took part.
- Start date
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Jan 2004
- Finished
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Dec 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
This study is a retrospective analysis of a pre-existing, de-identified population-based cancer registry (SEER). The study population consists of all adult patients meeting the above eligibility criteria who were diagnosed with hepatocellular carcinoma (HCC) within the specified period. Participants were not prospectively recruited for this study.
- Ages
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18 to 100 years
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Pathologically confirmed diagnosis of Hepatocellular Carcinoma (HCC). * Diagnosis year between 2004 and 2022, inclusive. * Case identified within the 22 registries of the Surveillance, Epidemiology, and End Results (SEER) database. Exclusion Criteria: * Missing information on race, marital status, tumor grade, or surgical status. * Non-first primary malignancy or presence of multiple primary tumors. * Incomplete TNM staging data.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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Other studies related to the condition(s) this trial covers.
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