This phase II trial evaluates lenvatinib for the treatment of hepatocellular carcinoma (HCC) that has come back (recurrent) after a liver transplant. HCC is a cancer of the liver and is the second leading cause of cancer-related deaths in the world. Liver transplantation is a potentially curative treatment option for HCC, however, up to 20% of patients develop recurrent disease after liver transplantation and prognosis remains poor. Lenvatinib may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth. Systemic treatments for HCC have not been studied in patients with recurrent HCC after liver transplantation, so there is no established therapy for these patients. This phase II trial evaluates lenvatinib for this purpose.
PRIMARY OBJECTIVE: I. To evaluate anti-tumor activity of the lenvatinib by assessing the overall response rate (ORR) by Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. SECONDARY OBJECTIVES: I. To evaluate the safety and tolerability of lenvatinib in patients with recurrent HCC after liver transplantation. II. To evaluate the anti-tumor activity of the lenvatinib by assessing progression-free survival (PFS) and overall survival (OS) and duration of response. TERTIARY/EXPLORATORY OBJECTIVE: I. To assess the effects of the lenvatinib on circulating tumor cells and biomarkers. OUTLINE: Patients receive lenvatinib orally (PO) once daily (QD). Treatment repeats every 28 days in the absence of disease progression, unacceptable toxicity, or patient withdrawal from the protocol therapy. After completion of study treatment, patients are followed for 30 days and then every 90 days until death or 2 years from registration.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
19
Correlative studies
Given PO
University of Alabama at Birmingham
Birmingham, Alabama, United States
NOT_YET_RECRUITINGMayo Clinic Arizona
Scottsdale, Arizona, United States
NOT_YET_RECRUITINGEmory University Hospital/Winship Cancer Institute
Atlanta, Georgia, United States
RECRUITINGOverall response rate (ORR)
Assessed per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. Tumor measurements are performed every 8 weeks. ORR will be calculated as a proportion (complete responses + partial responses / total patients) along with a 95% confidence interval (CI) using the Clopper-Pearson method. Chi-square tests or Fisher's exact tests will be used to compare the efficacy in term of response rate across different groups stratified by biomarkers or other factors, respectively.
Time frame: Up to 2 years
Progression-free survival (PFS)
PFS is estimated using the Kaplan-Meier method and compared between different groups using the log-rank test, respectively. The PFS of each patient group is also estimated alone with 95% CI using the Greenwood formula. Cox proportional hazards models are further used in the multivariable analyses to assess the adjusted effect of response on the patients' PFS after adjusting for other factors. Interaction terms between these factors are also tested for statistical significance. The proportional hazards assumption is evaluated graphically and analytically with regression diagnostics. Violations of the proportional hazards assumptions are addressed by use of time-dependent covariates or extended Cox regression models.
Time frame: From diagnosis to disease progression or death, assessed up to 2 years]
Overall survival (OS)
OS is estimated using the Kaplan-Meier method and compared between different groups using the log-rank test, respectively. The OS of each patient group is also estimated alone with 95% CI using the Greenwood formula. Cox proportional hazards models are further used in the multivariable analyses to assess the adjusted effect of response on the patients' OS after adjusting for other factors. Interaction terms between these factors are also tested for statistical significance. The proportional hazards assumption is evaluated graphically and analytically with regression diagnostics. Violations of the proportional hazards assumptions are addressed by use of time-dependent covariates or extended Cox regression models.
Time frame: Time from diagnosis to death, assessed up to 2 years
Duration of response (DR)
Summary statistics are reported for DR including mean, median, standard deviation, and range.
Time frame: Time from confirmation of a partial response, complete response, or stable disease until the disease has been shown to progress following treatment, assessed up to 2 years
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