Characterizing Disease Biology, Treatment and Toxicity in Older Adults With Hepatocellular Carcinoma
Purpose
This is an observational, prospective cohort study that will recruit a diverse sample of 84 participants with newly diagnosed with unresectable, advanced hepatocellular carcinoma (HCC) at the UT Health Cancer Center in San Antonio. This study uses geriatric assessment tools with participants 65 years and older and collects adverse events and exploratory markers of aging for all participants.
Condition
- Carcinoma, Hepatocellular
Eligibility
- Eligible Ages
- Over 18 Years
- Eligible Genders
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- Histologically or radiographically (CT or MRI) confirmed newly diagnosed hepatocellular carcinoma. - Age 18 years and older. - Patients with advanced, unresectable HCC as determined by the treating physician.
Exclusion Criteria
- Patients with resectable HCC who are still candidates for locoregional therapy - Patients receiving prior systemic or locoregional therapy
Study Design
- Phase
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
| Group 1 | Participants 65 years or older |
|
| Group 2 | Participants less than 65 years |
|
Recruiting Locations
San Antonio, Texas 78229
More Details
- Status
- Recruiting
- Sponsor
- The University of Texas Health Science Center at San Antonio
Detailed Description
The results from this study will allow us to identify unique disease characteristics of older participants and to study treatment patterns that may be barriers to treatment and risk factors for increased morbidity. Characteristics of Comprehensive Geriatric Assessment will be obtained prior to standard interventional treatment for participants that are 65 years or older. Observations will be made of treatment toxicities and cellular senescence with treatment outcomes. Findings from this study will result in the development of R01 intervention studies that develop and validate a treatment algorithm based on these associations to provide older adults with a personalized treatment plan.