| Literature DB >> 32037403 |
Christos Fountzilas1, Medhavi Gupta2, Sunyoung Lee3, Smitha Krishnamurthi4, Bassam Estfan4, Katy Wang2, Kristopher Attwood2, John Wilton2, Robert Bies5, Wiam Bshara2, Renuka Iyer2.
Abstract
BACKGROUND: Hepatocellular carcinoma (HCC) is a major cause of cancer-related death. It is a highly vascular tumour with multiple angiogenic factors, most importantly vascular endothelial growth factor (VEGF), involved in HCC progression. Tivozanib is an oral inhibitor of VEGFR-1/2/3 with promising activity against HCC in vivo.Entities:
Year: 2020 PMID: 32037403 PMCID: PMC7109127 DOI: 10.1038/s41416-020-0737-6
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Baseline demographics, efficacy population (N = 19).
| Age in years, median (range) | 67.5 (23.3–81.8) |
| Gender, | |
| Male | 19 (100) |
| Female | 0 (0) |
| Extrahepatic disease, | |
| No | 4 (21) |
| Yes | 15 (79) |
| ECOG PS, | |
| 0 | 12 (63) |
| 1 | 7 (37) |
| Baseline serum albumin in g/dl, median (range) | 4.0 (3.3–4.7) |
| Baseline serum bilirubin in mg/dl, median (range) | 0.9 (0.3–1.9) |
| Baseline serum AFP in ng/ml, median (range) | 394.4 (3.3–200,000.0) |
AFP α-fetoprotein, ECOG Eastern Cooperative Oncology Group, PS performance status.
Fig. 1Progression-free and overall survival in efficacy population.
Progression-free (a) and overall survival (b) in efficacy population.
Fig. 2RECIST response, waterfall plot.
Adverse events possibly, probably or definitively related to tivozanib (n, %).
| Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | Total | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fatigue | 6 | 22 | 4 | 15 | 7 | 26 | 0 | 0 | 0 | 0 | 17 | 63 |
| Diarrhoea | 6 | 22 | 5 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 41 |
| Decreased appetite | 3 | 11 | 6 | 22 | 1 | 4 | 0 | 0 | 0 | 0 | 10 | 37 |
| Nausea | 4 | 15 | 3 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 26 |
| Dysphonia | 6 | 22 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 26 |
| Vomiting | 4 | 15 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 22 |
| Stomatitis | 4 | 15 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 19 |
| Elevated bilirubin | 0 | 0 | 3 | 11 | 2 | 7 | 0 | 0 | 0 | 0 | 5 | 18 |
| Hypertension | 1 | 4 | 1 | 4 | 2 | 7 | 1 | 4 | 0 | 0 | 5 | 19 |
| Thrombocytopenia | 4 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 15 |
| Increased ALP | 0 | 0 | 0 | 0 | 3 | 11 | 0 | 0 | 0 | 0 | 3 | 11 |
| Lymphocytopenia | 1 | 4 | 1 | 4 | 1 | 4 | 0 | 0 | 0 | 0 | 3 | 12 |
| Epistaxis | 3 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 11 |
| Pulmonary embolism | 0 | 0 | 0 | 0 | 3 | 11 | 0 | 0 | 0 | 0 | 3 | 11 |
| PPEDS | 2 | 7 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 3 | 11 |
| Increased ALT | 1 | 4 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 2 | 8 |
| Decreased weight | 0 | 0 | 1 | 4 | 1 | 4 | 0 | 0 | 0 | 0 | 2 | 8 |
| Dizziness | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 |
| Headache | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 |
| Dry skin | 1 | 4 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 |
| Pruritus | 1 | 4 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 |
ALP alkaline phosphatase, ALT alanine aminotransferase, PPEDS palmar–plantar erythrodysesthesia syndrome.
Population secondary pharmacokinetic parameters.
| Day | Dose (mg) | AUC0–4 (h*ng/mL) | AUC0–24 (h*ng/mL) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | Standard deviation | Mean | Standard deviation | Mean | Standard deviation | Median | Range | ||
| NCA and observation | |||||||||
| 1 | 1 | 14.22 | 7.87 | NE | NE | 6.54 | 3.82 | 4.067 | 2.05–7.67 |
| 15 | 1 | 184.33 | 98.14 | NE | NE | 58.67 | 36.84 | 2.05 | 2.00–4.12 |
| Model prediction | |||||||||
| 1 | 1 | 14.28 | 7.66 | 175.98 | 74.29 | 8.75 | 3.27 | 13.33 | 9.63–23.97 |
| 15 | 1 | 190.06 | 90.79 | 1104.89 | 589.09 | 50.67 | 23.35 | 7.00 | 5.97–17.93 |
NCA non-compartmental analysis, AUC and AUC area under the concentration–time curve from 0 to 4 and 0 to 24 h, respectively, NE not estimated.
Fig. 3Pre-dose sVEGFR-2, cycle 1 days 1 and 15.