Tivozanib 890microgram capsules
Requires a prescription from a doctor or prescriber
Renal cell carcinoma (RCC) is responsible for 3% of cancer cases[A231314] and is one of the 10 most common cancers in adults.
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Fotivda 890microgram capsules
WHO defined daily dose (DDD)
1 mg
Not a recommended dose. The DDD is the assumed average maintenance dose per day for a drug used for its main indication in adults. It is a statistical measure used for research and comparison purposes only.
Source: WHO Collaborating Centre for Drug Statistics Methodology, distributed via the NHS dm+d supplementary BNF/ATC mapping files (NHSBSA). Contains public sector information licensed under the Open Government Licence v3.0.
Therapeutically similar medicines
Similarity is based on WHO Anatomical Therapeutic Chemical (ATC) classification and on a factual NHS dm+d therapeutic-grouping code prefix. Source data: NHS dm+d via TRUD (OGL v3.0), WHO ATC/DDD Index.
NHS prescribing volume and spending trends
Guidelines from the National Institute for Health and Care Excellence
NICE clinical guidance(8)
Tivozanib for treating advanced renal cell carcinoma (TA512)
Avelumab with axitinib for untreated advanced renal cell carcinoma (TA1120)
Cabozantinib with nivolumab for untreated advanced renal cell carcinoma (TA964)
Nivolumab with ipilimumab for untreated advanced renal cell carcinoma (TA780)
Pembrolizumab with axitinib for untreated advanced renal cell carcinoma (TA650)
Lenvatinib with pembrolizumab for untreated advanced renal cell carcinoma (TA858)
Cabozantinib for untreated advanced renal cell carcinoma (TA542)
Kidney cancer: diagnosis and management (NG256)
Source: National Institute for Health and Care Excellence (NICE). Contains public sector information licensed under the Open Government Licence v3.0.
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SNOMED CT and dm+d codes from NHS TRUD (Technology Reference data Update Distribution), licensed under the Open Government Licence v3.0. BNF code shown is the factual mapping value distributed by NHS Business Services Authority (NHSBSA) in the dm+d supplementary file under OGL v3.0; it is not affiliated with, nor licensed from, the publishers of the British National Formulary. ATC codes from the WHO Collaborating Centre for Drug Statistics Methodology (whocc.no).
Active and completed clinical studies from ClinicalTrials.gov
Source: ClinicalTrials.gov, a database of the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Data accessed via ClinicalTrials.gov API v2. Trial information is provided for research purposes and does not constitute medical advice.
Academic studies and reviews for this medicine's active substance
Showing all 24 studies.
Reviews & meta-analyses: 5 · Randomised trials: 1 · 2019–2026
Showing all 24 studies, sorted by most relevant.
Kinga Krawczyk, Katarzyna Śladowska, Przemysław Holko, et al.
Frontiers in Pharmacology, 2023
Objective: This study aimed to compare the safety profile of tyrosine kinase inhibitors (TKIs) approved for use as monotherapy or combination therapy for the first-line treatment of adult patients with metastatic clear cell renal cell carcinoma (RCC). Methods: A systematic review with frequentist network meta-analysis (NMA) was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We included randomized controlled trials (RCTs) investigating the use of: cabozantinib, pazopanib, sorafenib, sunitinib, tivozanib, cabozantinib + nivolumab, lenvatinib + pembrolizumab, axitinib + avelumab, and axitinib + pembrolizumab in previously untreated adult patients with metastatic clear cell RCC. Eligible studies were identified by two reviewers in MEDLINE (via PubMed), EMBASE, and Cochrane Library. The risk of bias for RCTs was assessed using the Cochrane Collaboration tool. The P score was used to determine the treatment ranking. The mean probability of an event along with the relative measures of the NMA was considered with the treatment rankings. Results: A total of 13 RCTs were included in the systematic review and NMA. Sorafenib and tivozanib used as monotherapy were the best treatment options. Sorafenib achieved the highest P score for treatment discontinuation due to adverse events (AEs), fatigue, nausea, vomiting of any grade, and hypertension of any grade or grade ≥3. Tivozanib achieved the highest P score for AEs, grade ≥3 AEs, dose modifications due to AEs, and grade ≥3 diarrhea. Sunitinib was the best treatment option in terms of diarrhea and dysphonia of any grade, while cabozantinib, pazopanib, and axitinib + pembrolizumab–in terms of grade ≥3 fatigue, nausea, and vomiting. TKIs used in combination were shown to have a poorer safety profile than those used as monotherapy. Lenvatinib + pembrolizumab was considered the worst option in terms of any AEs, grade ≥3 AEs, treatment discontinuation due to AEs, dose modifications due to AEs, fatigue of any grade, nausea, vomiting, and grade ≥3 nausea. Axitinib + avelumab was the worst treatment option in terms of dysphonia, grade ≥3 diarrhea, and hypertension, while cabozantinib + nivolumab was the worst option in terms of grade ≥3 vomiting. Interestingly, among the other safety endpoints, cabozantinib monotherapy had the lowest P score for diarrhea and hypertension of any grade. Conclusion: The general safety profile, including common AEs, is better when TKIs are used as monotherapy vs. in combination with immunological agents. To confirm these findings, further research is needed, including large RCTs.
Abstract licence: CC BY
Ruiyang Xie, Jie Wu, Bingqing Shang, et al.
Cancer Medicine, 2023
- Antineoplastic Agents
- Carcinoma, Renal Cell
- Kidney Neoplasms
OBJECTIVE: For patients with advanced or metastatic renal cell carcinoma (RCC), the dose of targeted agents was recommended in combination with immune checkpoint inhibitors. We performed a network meta-analysis to describe a categorized safety ranking profile and assess the adaptability of the combination options of targeted agents. METHODS: The targeted agents refer to vascular endothelial growth factor tyrosine kinase inhibitors (VEGF-TKIs) and mammalian target of rapamycin (mTOR) inhibitors. Randomized controlled trials comparing these drugs were enrolled in a Bayesian model network meta-analysis. RESULTS: Nineteen clinical trials with 11 treatments and 10,615 patients were included. For grade ≥ 3 adverse events (AEs), compared with placebo, lenvatinib plus everolimus showed worse safety than all other treatments except for lenvatinib (placebo vs. OR 0.23, 95% CI 0.07-0.78). Everolimus was generally the safest agent (OR 1.23, 95% CI 0.50-3.14). Sorafenib arose the least renal AEs (placebo vs. OR 0.85, 95% CI 0.06-11.64), whereas lenvatinib plus everolimus had the highest risk of renal toxicity (placebo vs. 0.17 95% CI 0.01-1.02). For gastrointestinal symptoms, everolimus was related to much lower toxicity than other agents. In the respiratory safety analysis, tivozanib (placebo vs. OR 0.15, 95% CI 0.07-0.31) and axitinib (OR 5.43, 95% CI 3.26-9.22) were the riskiest agents. In terms of hepatobiliary (placebo vs. OR 0.44, 95% CI 0.09-2.10) and hemotoxicity (placebo vs. OR 1.03, 95% CI 0.14-7.68) related AEs, lenvatinib was found to be the safest treatment compared to placebo. CONCLUSIONS: Everolimus, with the best safety of grade ≥ 3, gastrointestinal, and respiratory AEs, was more likely to be considered for combination therapies. Lenvatinib appears to be the safest for blood/lymphatic and hepatobiliary AEs. For patients with renal disorders, sorafenib arises the least renal toxicity AEs. This study will guide treatment options and optimize the trial design for advanced or metastatic RCC.
Abstract licence: CC BY
Nigel Fleeman, Rachel Houten, Sarah Nevitt, et al.
Health Technology Assessment, 2024
- Carcinoma, Renal Cell
- Cost-Benefit Analysis
- Network Meta-Analysis
Background: Renal cell carcinoma is the most common type of kidney cancer, comprising approximately 85% of all renal malignancies. Patients with advanced renal cell carcinoma are the focus of this National Institute for Health and Care Excellence multiple technology appraisal. A patient's risk of disease progression depends on a number of prognostic risk factors; patients are categorised as having intermediate/poor risk or favourable risk of disease progression. Objectives: The objectives of this multiple technology appraisal were to appraise the clinical effectiveness and cost-effectiveness of lenvatinib plus pembrolizumab versus relevant comparators listed in the final scope issued by the National Institute for Health and Care Excellence: sunitinib, pazopanib, tivozanib, cabozantinib and nivolumab plus ipilimumab. Methods: The assessment group carried out clinical and economic systematic reviews and assessed the clinical and cost-effectiveness evidence submitted by Eisai, Hatfield, Hertfordshire, UK (the manufacturer of lenvatinib) and Merck Sharp & Dohme, Whitehouse Station, NJ, USA (the manufacturer of pembrolizumab). The assessment group carried out fixed-effects network meta-analyses using a Bayesian framework to generate evidence for clinical effectiveness. As convergence issues occurred due to sparse data, random-effects network meta-analysis results were unusable. The assessment group did not develop a de novo economic model, but instead modified the partitioned survival model provided by Merck Sharp & Dohme. Results: The assessment group clinical systematic review identified one relevant randomised controlled trial (CLEAR trial). The CLEAR trial is a good-quality, phase III, multicentre, open-label trial that provided evidence for the efficacy and safety of lenvatinib plus pembrolizumab compared with sunitinib. The assessment group progression-free survival network meta-analysis results for all three risk groups should not be used to infer any statistically significant difference (or lack of statistically significant difference) for any of the treatment comparisons owing to within-trial proportional hazards violations or uncertainty regarding the validity of the proportional hazards assumption. The assessment group overall survival network meta-analysis results for the intermediate-/poor-risk subgroup suggested that there was a numerical, but not statistically significant, improvement in the overall survival for patients treated with lenvatinib plus pembrolizumab compared with patients treated with cabozantinib or nivolumab plus ipilimumab. Because of within-trial proportional hazards violations or uncertainty regarding the validity of the proportional hazards assumption, the assessment group overall survival network meta-analysis results for the favourable-risk subgroup and the all-risk population should not be used to infer any statistically significant difference (or lack of statistically significant difference) for any of the treatment comparisons. Only one cost-effectiveness study was included in the assessment group review of cost-effectiveness evidence. The study was limited to the all-risk population, undertaken from the perspective of the US healthcare system and included comparators that are not recommended by the National Institute for Health and Care Excellence for patients with untreated advanced renal cell carcinoma. Therefore, the extent to which resource use and results are generalisable to the NHS is unclear. The assessment group cost-effectiveness results from the modified partitioned survival model focused on the intermediate-/poor-risk and favourable-risk subgroups. The assessment group cost-effectiveness results, generated using list prices for all drugs, showed that, for all comparisons in the favourable-risk subgroup, treatment with lenvatinib plus pembrolizumab costs more and generated fewer benefits than all other treatments available to NHS patients. For the intermediate-/poor-risk subgroup, treatment with lenvatinib plus pembrolizumab costs more and generated more benefits than treatment with cabozantinib and nivolumab plus ipilimumab. Conclusions: Good-quality clinical effectiveness evidence for the comparison of lenvatinib plus pembrolizumab with sunitinib is available from the CLEAR trial. For most of the assessment group Bayesian hazard ratio network meta-analysis comparisons, it is difficult to reach conclusions due to within-trial proportional hazards violations or uncertainty regarding the validity of the proportional hazards assumption. However, the data (clinical effectiveness and cost-effectiveness) used to populate the economic model are relevant to NHS clinical practice and can be used to inform National Institute for Health and Care Excellence decision-making. The assessment group cost-effectiveness results, generated using list prices for all drugs, show that lenvatinib plus pembrolizumab is less cost-effective than all other treatment options. Study registration: This study is registered as PROSPERO CRD4202128587. Funding: ; Vol. 28, No. 49. See the NIHR Funding and Awards website for further award information.
Abstract licence: CC BY
B. Rini, S. Pal, B. Escudier, et al.
The Lancet. Oncology, 2019
- Sorafenib
- Antineoplastic Combined Chemotherapy Protocols
- Carcinoma, Renal Cell
Pedro C. Barata, A. Chehrazi-Raffle, Kimberly D. Allman, et al.
The Oncologist, 2023
- Carcinoma, Renal Cell
- Kidney Neoplasms
- Phenylurea Compounds
BACKGROUND: Non-clear cell renal cell carcinoma (nccRCC) is a blanket term for a collection of heterogeneous and biologically diverse RCC histologies, including but not limited to papillary, chromophobe, and unclassified subtypes. Tivozanib is a selective vascular endothelial growth factor receptor (VEGFR) tyrosine kinase inhibitor (TKI) that demonstrated activity in RCC with clear cell component. The objective of this analysis was to determine the efficacy of tivozanib in histologically unclassified/mixed RCC. METHODS: We identified patients with nccRCC enrolled in Study 201 (NCT00502307) between October 2007 and July 2008. This was a phase II randomized discontinuation trial of tivozanib in patients with RCC who had no prior VEGFR-targeted treatment. Clinical outcomes including investigator-assessed objective response rate (ORR), disease control rate (DCR, defined by complete response + partial response + stable disease), and progression-free survival (PFS) were examined. RESULTS: Of the 272 patients enrolled, 46 (16.9%) patients had nccRCC: 11 (4%) papillary, 2 (0.7%) chromophobe, 2 (0.7%) collecting duct, and 31 (11.4%) mixed/unclassified. Of the 46 patients with nccRCC, 38 were continuously treated with tivozanib and the best ORR was 21.1% (confirmed) and 31.6% (confirmed and unconfirmed). The DCR was 73.7% and median PFS was 6.7 months (95% confidence interval, 125-366 days). There were no new safety signals compared to the ITT population. Limitations include the small number of individual nccRCC subtypes and the randomized discontinuation design. CONCLUSION: Tivozanib demonstrated activity and a favorable safety profile in patients with nccRCC. These data add to the body of evidence supporting the use of VEGFR-TKI in advanced nccRCC.
Abstract licence: CC BY
M. Sakellakis, R. Zakopoulou
Cureus, 2023
The introduction of tyrosine kinase inhibitors (TKIs) against vascular endothelial growth factor receptors (VEGFRs) has transformed the therapeutic landscape for patients with advanced renal cell carcinoma (RCC). However, dose reductions and interruptions are frequently needed due to limited toxicity, mostly from off-target effects. Tivozanib is a potent, selective VEGFR TKI with weak off-target effects. TIVO-1 and TIVO-3 were randomized controlled phase 3 trials that investigated the efficacy and safety of tivozanib versus sorafenib as initial targeted therapy and after failing two previous lines (including targeted therapy), respectively. Tivozanib did not confer any survival advantage, but it significantly increased progression-free survival, response rates, and the duration of responses with a superior safety profile. Although results from subgroup analysis need to be interpreted cautiously, tivozanib demonstrated superiority after two previous lines of VEGFR TKIs or after axitinib, another selective VEGFR inhibitor. Tivozanib also demonstrated durable activity after therapy with an immune-checkpoint inhibitor, while an ongoing study investigating the combination of tivozanib/nivolumab has shown promising preliminary results regarding efficacy and safety. In conclusion, tivozanib was recently added to our therapeutic armamentarium against advanced RCC. Ongoing rational therapeutic combinations of tivozanib will determine the optimal setting in which the maximum benefit can be derived.
Abstract licence: CC BY
S. Mahmood, Daneng Li, A. Lee, et al.
Future oncology, 2023
- Carcinoma, Hepatocellular
- Liver Neoplasms
- Antibodies, Monoclonal
Choueiri TK, Albiges L, Barthélémy P, et al.
2024
- Nivolumab
- Immune Checkpoint Inhibitors
- Progression-Free Survival
Kathryn E. Beckermann, A. Asnis-Alibozek, M. Atkins, et al.
The Oncologist, 2024
- Antineoplastic Agents
- Carcinoma, Renal Cell
- Kidney Neoplasms
BACKGROUND: Tivozanib is an oral vascular endothelial growth factor receptor (VEGFR) tyrosine kinase inhibitor (TKI) with efficacy in advanced renal cell carcinoma (RCC). Long-term exploratory analyses from the TIVO-3 trial in relapsed/refractory (R/R) RCC including patients (26%) with prior immuno-oncology (IO) therapy are reported. METHODS: Patients with R/R advanced RCC that progressed with 2 or 3 prior systemic therapies (≥1 VEGFR TKI) were randomized to tivozanib 1.5 mg QD or sorafenib 400 mg BID, stratified by IMDC risk and previous therapy. Safety, investigator-assessed long-term progression-free survival (LT-PFS), and serial overall survival (OS) were assessed. RESULTS: Mean time on treatment was 11.0 months with tivozanib (n = 175) and 6.3 months with sorafenib (n = 175). Fewer grade ≥3 treatment-related adverse events occurred with tivozanib (46%) than sorafenib (55%). Dose modification rates were lower with tivozanib than sorafenib across age/prior IO subgroups; prior IO therapy did not impact dose reductions or discontinuations in either arm. Landmark LT-PFS rates were higher with tivozanib (3 years: 12.3% vs 2.4%; 4 years: 7.6% vs 0%). After 22.8 months mean follow-up, the OS HR was 0.89 (95% CI, 0.70-1.14); when conditioned on 12-month landmark PFS, tivozanib showed significant OS improvement over sorafenib (HR, 0.45; 95% CI, 0.22-0.91; 2-sided P = .0221). CONCLUSIONS: Tivozanib demonstrated a consistent safety profile and long-term survival benefit in patients with R/R advanced RCC who were alive and progression free at 12 months. These post hoc exploratory analyses of LT-PFS and conditional OS support a clinically meaningful improvement with tivozanib versus sorafenib in this advanced RCC population.
Abstract licence: CC BY-NC
Kaixuan Wang, Mengmeng Wang, Wensheng Li, et al.
Frontiers in Pharmacology, 2024
Background: Tivozanib, a vascular endothelial growth factor tyrosine kinase inhibitor, has demonstrated efficacy in a phase III clinical trials for the treatment of renal cell carcinoma. However, comprehensive evaluation of its long-term safety profile in a large sample population remains elusive. The current study assessed Tivozanib-related adverse events of real-world through data mining of the US Food and Drug Administration Adverse Event Reporting System FDA Adverse Event Reporting System. Methods: Disproportionality analyses, utilizing reporting odds ratio proportional reporting ratio Bayesian confidence propagation neural network and multi-item gamma Poisson shrinker (MGPS) algorithms, were conducted to quantify signals of Tivozanib-related AEs. Weibull distribution was used to predict the varying risk incidence of AEs over time. Results: Out of 5,361,420 reports collected from the FAERS database, 1,366 reports of Tivozanib-associated AEs were identified. A total of 94 significant disproportionality preferred terms (PTs) conforming to the four algorithms simultaneously were retained. The most common AEs included fatigue, diarrhea, nausea, blood pressure increased, decreased appetite, and dysphonia, consistent with prior specifications and clinical trials. Unexpected significant AEs such as dyspnea, constipation, pain in extremity, stomatitis, and palmar-plantar erythrodysaesthesia syndrome was observed. The median onset time of Tivozanib-related AEs was 37 days (interquartile range [IQR] 11.75-91 days), with a majority (n = 127, 46.35%) occurring within the initial month following Tivozanib initiation. Conclusion: Our observations align with clinical assertions regarding Tivozanib's safety profile. Additionally, we unveil potential novel and unexpected AE signatures associated with Tivozanib administration, highlighting the imperative for prospective clinical studies to validate these findings and elucidate their causal relationships. These results furnish valuable evidence to steer future clinical inquiries aimed at elucidating the safety profile of Tivozanib.
Abstract licence: CC BY
Sources: aggregated from Europe PMC (EMBL-EBI), OpenAlex, Crossref, PubMed and other open scholarly databases. Retracted articles are excluded. Study information is provided for research purposes and does not constitute medical advice.
Pharmacology and chemical data from DrugBank
Key facts
Drug status
Approved
Major interactions
None known
Half-life
111 hours
Mechanism
The VHL mutation-HIF upregulation-VEGF transcription is the main pathway implica…
Food interactions
1 warning
Human targets
9 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
10 hours
[L32524]…
Half-life
111 hours
[L32524]…
Protein binding
99%
[L32524]
Volume of distribution
123 L
[L32524]
Metabolism
1.34 mg
[A231344][L17180]
After oral ingestion of a radiolabeled 1.34…
Elimination
1.34 mg
Clearance
0.75 L/h
[L32524]
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
[L32524]
In the UK and other countries, it is indicated as first-line therapy of adults with advanced renal cell carcinoma (RCC) and VEGFR and mTOR pathway inhibitor-naïve patients after disease progression following one previous treatment with cytokine therapy for advanced disease.
[L17180]
Known interactions with other medications. Always consult a healthcare professional.
Showing 50 of 489 interactions
[L32549]
In tivozanib monotherapy studies, two patients received overdoses of tivozanib. One volunteer with a prior history of hypertension experienced aggravated uncontrolled hypertension that resulted in death after taking 3 doses of 1340 microgram tivozanib in one day (total of 4020 micrograms).
A second patient patient ingested two doses of 1340 microgram tivozanib in one day (total of 2680 micrograms), and experienced no adverse effects. Carefully control blood pressure before starting tivozanib; regularly monitor blood pressure during treatment. In the case of a confirmed or suspected overdose, discontinue tivozanib, monitor the patient closely, and provide supportive treatment as necessary.
No antidote exists for an overdose with tivozanib.
[L17180]
How the body processes this drug — absorption, distribution, metabolism, and elimination
[L32524]
A pharmacokinetic study in 8 healthy subjects revealed a Cmax and AUC for radiolabeled tivozanib of 12.1 ± 5.67 ng/mL and 1084 ± 417.0 ng·h/mL, respectively.
[A231339]
Steady-state tivozanib concentrations are achieved at concentrations 6-7 times higher the normal dose.
[L32554]
[L32524]
Information from clinical studies reveals a half-life of 4-5 days.
[A231339][L32554]
[L32524]
[L32524]
[A231344][L17180]
After oral ingestion of a radiolabeled 1.34 mg dose of tivozanib in healthy volunteers, unchanged tivozanib accounted for 90% of the radioactive drug detected in serum.
[L32524]
[A231339][L32524]
[L32524]
Proteins and enzymes this drug interacts with in the body
Can promote endothelial cell proliferation, survival and angiogenesis in adulthood. Its function in promoting cell proliferation seems to be cell-type specific. Promotes PGF-mediated proliferation of endothelial cells, proliferation of some types of cancer cells, but does not promote proliferation of normal fibroblasts (in vitro).
Has very high affinity for VEGFA and relatively low protein kinase activity; may function as a negative regulator of VEGFA signaling by limiting the amount of free VEGFA and preventing its binding to KDR. Modulates KDR signaling by forming heterodimers with KDR. Ligand binding leads to the activation of several signaling cascades.
Activation of PLCG leads to the production of the cellular signaling molecules diacylglycerol and inositol 1,4,5-trisphosphate and the activation of protein kinase C. Mediates phosphorylation of PIK3R1, the regulatory subunit of phosphatidylinositol 3-kinase, leading to activation of phosphatidylinositol kinase and the downstream signaling pathway. Mediates activation of MAPK1/ERK2, MAPK3/ERK1 and the MAP kinase signaling pathway, as well as of the AKT1 signaling pathway.
Phosphorylates SRC and YES1, and may also phosphorylate CBL. Promotes phosphorylation of AKT1 at 'Ser-473'. Promotes phosphorylation of PTK2/FAK1 PMID:16685275
Promotes reorganization of the actin cytoskeleton. Isoforms lacking a transmembrane domain, such as isoform 2 and isoform 3, may function as decoy receptors for VEGFA, VEGFC and/or VEGFD. Isoform 2 plays an important role as negative regulator of VEGFA- and VEGFC-mediated lymphangiogenesis by limiting the amount of free VEGFA and/or VEGFC and preventing their binding to FLT4.
Modulates FLT1 and FLT4 signaling by forming heterodimers. Binding of vascular growth factors to isoform 1 leads to the activation of several signaling cascades. Activation of PLCG1 leads to the production of the cellular signaling molecules diacylglycerol and inositol 1,4,5-trisphosphate and the activation of protein kinase C.
Mediates activation of MAPK1/ERK2, MAPK3/ERK1 and the MAP kinase signaling pathway, as well as of the AKT1 signaling pathway. Mediates phosphorylation of PIK3R1, the regulatory subunit of phosphatidylinositol 3-kinase, reorganization of the actin cytoskeleton and activation of PTK2/FAK1. Required for VEGFA-mediated induction of NOS2 and NOS3, leading to the production of the signaling molecule nitric oxide (NO) by endothelial cells.
Phosphorylates PLCG1. Promotes phosphorylation of FYN, NCK1, NOS3, PIK3R1, PTK2/FAK1 and SRC
Modulates KDR signaling by forming heterodimers. The secreted isoform 3 may function as a decoy receptor for VEGFC and/or VEGFD and play an important role as a negative regulator of VEGFC-mediated lymphangiogenesis and angiogenesis. Binding of vascular growth factors to isoform 1 or isoform 2 leads to the activation of several signaling cascades; isoform 2 seems to be less efficient in signal transduction, because it has a truncated C-terminus and therefore lacks several phosphorylation sites.
Mediates activation of the MAPK1/ERK2, MAPK3/ERK1 signaling pathway, of MAPK8 and the JUN signaling pathway, and of the AKT1 signaling pathway. Phosphorylates SHC1. Mediates phosphorylation of PIK3R1, the regulatory subunit of phosphatidylinositol 3-kinase.
Promotes phosphorylation of MAPK8 at 'Thr-183' and 'Tyr-185', and of AKT1 at 'Ser-473'
Activates the AKT1 signaling pathway by phosphorylation of PIK3R1, the regulatory subunit of phosphatidylinositol 3-kinase. Activated KIT also transmits signals via GRB2 and activation of RAS, RAF1 and the MAP kinases MAPK1/ERK2 and/or MAPK3/ERK1. Promotes activation of STAT family members STAT1, STAT3, STAT5A and STAT5B.
Activation of PLCG1 leads to the production of the cellular signaling molecules diacylglycerol and inositol 1,4,5-trisphosphate. KIT signaling is modulated by protein phosphatases, and by rapid internalization and degradation of the receptor. Activated KIT promotes phosphorylation of the protein phosphatases PTPN6/SHP-1 and PTPRU, and of the transcription factors STAT1, STAT3, STAT5A and STAT5B.
Promotes phosphorylation of PIK3R1, CBL, CRK (isoform Crk-II), LYN, MAPK1/ERK2 and/or MAPK3/ERK1, PLCG1, SRC and SHC1
Required for normal development of the cardiovascular system. Required for normal recruitment of pericytes (mesangial cells) in the kidney glomerulus, and for normal formation of a branched network of capillaries in kidney glomeruli. Promotes rearrangement of the actin cytoskeleton and the formation of membrane ruffles.
Binding of its cognate ligands - homodimeric PDGFB, heterodimers formed by PDGFA and PDGFB or homodimeric PDGFD -leads to the activation of several signaling cascades; the response depends on the nature of the bound ligand and is modulated by the formation of heterodimers between PDGFRA and PDGFRB. Phosphorylates PLCG1, PIK3R1, PTPN11, RASA1/GAP, CBL, SHC1 and NCK1. Activation of PLCG1 leads to the production of the cellular signaling molecules diacylglycerol and inositol 1,4,5-trisphosphate, mobilization of cytosolic Ca(2+) and the activation of protein kinase C.
Phosphorylation of PIK3R1, the regulatory subunit of phosphatidylinositol 3-kinase, leads to the activation of the AKT1 signaling pathway. Phosphorylation of SHC1, or of the C-terminus of PTPN11, creates a binding site for GRB2, resulting in the activation of HRAS, RAF1 and down-stream MAP kinases, including MAPK1/ERK2 and/or MAPK3/ERK1. Promotes phosphorylation and activation of SRC family kinases.
Promotes phosphorylation of PDCD6IP/ALIX and STAM. Receptor signaling is down-regulated by protein phosphatases that dephosphorylate the receptor and its down-stream effectors, and by rapid internalization of the activated receptor
Enzymes involved in drug metabolism — important for understanding drug interactions
Proteins that transport this drug across cell membranes
PMID:2897240 PMID:35970996 PMID:8898203 PMID:9038218 PMID:35507548
Catalyzes the flop of phospholipids from the cytoplasmic to the exoplasmic leaflet of the apical membrane. Participates mainly to the flop of phosphatidylcholine, phosphatidylethanolamine, beta-D-glucosylceramides and sphingomyelins .
PMID:8898203
Energy-dependent efflux pump responsible for decreased drug accumulation in multidrug-resistant cells PMID:2897240 PMID:35970996 PMID:9038218
PMID:11306452 PMID:12958161 PMID:19506252 PMID:20705604 PMID:28554189 PMID:30405239 PMID:31003562
Involved in porphyrin homeostasis, mediating the export of protoporphyrin IX (PPIX) from both mitochondria to cytosol and cytosol to extracellular space, it also functions in the cellular export of heme .
PMID:20705604 PMID:23189181
Also mediates the efflux of sphingosine-1-P from cells .
PMID:20110355
Acts as a urate exporter functioning in both renal and extrarenal urate excretion .
PMID:19506252 PMID:20368174 PMID:22132962 PMID:31003562 PMID:36749388
In kidney, it also functions as a physiological exporter of the uremic toxin indoxyl sulfate (By similarity). Also involved in the excretion of steroids like estrone 3-sulfate/E1S, 3beta-sulfooxy-androst-5-en-17-one/DHEAS, and other sulfate conjugates .
PMID:12682043 PMID:28554189 PMID:30405239
Mediates the secretion of the riboflavin and biotin vitamins into milk (By similarity). Extrudes pheophorbide a, a phototoxic porphyrin catabolite of chlorophyll, reducing its bioavailability (By similarity).
Plays an important role in the exclusion of xenobiotics from the brain (Probable). It confers to cells a resistance to multiple drugs and other xenobiotics including mitoxantrone, pheophorbide, camptothecin, methotrexate, azidothymidine, and the anthracyclines daunorubicin and doxorubicin, through the control of their efflux .
PMID:11306452 PMID:12477054 PMID:15670731 PMID:18056989 PMID:31254042
In placenta, it limits the penetration of drugs from the maternal plasma into the fetus (By similarity). May play a role in early stem cell self-renewal by blocking differentiation (By similarity).
In inflammatory macrophages, exports itaconate from the cytosol to the extracellular compartment and limits the activation of TFEB-dependent lysosome biogenesis involved in antibacterial innate immune response
Proteins that carry this drug through the body
PMID:19021548
Major calcium and magnesium transporter in plasma, binds approximately 45% of circulating calcium and magnesium in plasma (By similarity).
Potentially has more than two calcium-binding sites and might additionally bind calcium in a non-specific manner (By similarity). The shared binding site between zinc and calcium at residue Asp-273 suggests a crosstalk between zinc and calcium transport in the blood (By similarity). The rank order of affinity is zinc > calcium > magnesium (By similarity).
Binds to the bacterial siderophore enterobactin and inhibits enterobactin-mediated iron uptake of E.coli from ferric transferrin, and may thereby limit the utilization of iron and growth of enteric bacteria such as E.coli .
PMID:6234017
Does not prevent iron uptake by the bacterial siderophore aerobactin PMID:6234017
ATC L01EK03
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
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Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Tivozanib
Additional database identifiers
ChemSpider
8087481
BindingDB
50331095
PDB
AV9
ZINC
ZINC000001489430
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3763
GenAtlas
FLT1
GeneCards
FLT1
GenBank Gene Database
X51602
GenBank Protein Database
31432
Guide to Pharmacology
1812
UniProt Accession
VGFR1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:6307
GenAtlas
KDR
GeneCards
KDR
GenBank Gene Database
AF035121
GenBank Protein Database
2655412
Guide to Pharmacology
1813
UniProt Accession
VGFR2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3767
GenAtlas
FLT4
GeneCards
FLT4
GenBank Gene Database
X69878
GenBank Protein Database
297050
Guide to Pharmacology
1814
UniProt Accession
VGFR3_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:6342
GenAtlas
KIT
GeneCards
KIT
GenBank Gene Database
X06182
GenBank Protein Database
34085
Guide to Pharmacology
1805
UniProt Accession
KIT_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:8804
GenAtlas
PDGFRB
GeneCards
PDGFRB
GenBank Gene Database
J03278
GenBank Protein Database
189732
Guide to Pharmacology
1804
UniProt Accession
PGFRB_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3765
GenAtlas
FLT3
GeneCards
FLT3
GenBank Gene Database
U02687
GenBank Protein Database
409573
Guide to Pharmacology
1807
UniProt Accession
FLT3_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:8803
GenAtlas
PDGFRA
GeneCards
PDGFRA
GenBank Gene Database
M21574
GenBank Protein Database
189734
Guide to Pharmacology
1803
UniProt Accession
PGFRA_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:9617
GeneCards
PTK6
Guide to Pharmacology
2182
UniProt Accession
PTK6_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:7029
GenAtlas
MET
GeneCards
MET
GenBank Gene Database
J02958
GenBank Protein Database
307196
Guide to Pharmacology
1815
UniProt Accession
MET_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2637
GenAtlas
CYP3A4
GeneCards
CYP3A4
GenBank Gene Database
M18907
Guide to Pharmacology
1337
UniProt Accession
CP3A4_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:399
GenAtlas
ALB
GeneCards
ALB
GenBank Gene Database
V00494
GenBank Protein Database
28590
UniProt Accession
ALBU_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:40
GenAtlas
ABCB1
GeneCards
ABCB1
GenBank Gene Database
M14758
GenBank Protein Database
307180
Guide to Pharmacology
768
UniProt Accession
MDR1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:74
GenAtlas
ABCG2
GeneCards
ABCG2
GenBank Gene Database
AF103796
GenBank Protein Database
4185796
Guide to Pharmacology
792
UniProt Accession
ABCG2_HUMAN
DrugBank citations
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Structured knowledge from the free knowledge base
ATC classifications (Wikidata)
Linked open data from Wikidata (Q7810457), a free and open knowledge base operated by the Wikimedia Foundation. Data is available under the Creative Commons CC0 1.0 Public Domain Dedication.