Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer
Background Lucitanib is an oral, potent, selective inhibitor of the tyrosine kinase activity of vascular endothelial growth factor receptors 1‒3, fibroblast growth factor receptors 1‒3, and platelet-derived growth factor receptors alpha/beta. Objective We aimed to develop a population pharmacokineti...
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Veröffentlicht in: | European journal of drug metabolism and pharmacokinetics 2022-09, Vol.47 (5), p.711-723 |
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creator | Liao, Mingxiang Zhou, Jie Wride, Kenton Lepley, Denise Cameron, Terri Sale, Mark Xiao, Jim |
description | Background
Lucitanib is an oral, potent, selective inhibitor of the tyrosine kinase activity of vascular endothelial growth factor receptors 1‒3, fibroblast growth factor receptors 1‒3, and platelet-derived growth factor receptors alpha/beta.
Objective
We aimed to develop a population pharmacokinetics (PopPK) model for lucitanib in patients with advanced cancers.
Methods
PopPK analyses were based on intensive and sparse oral pharmacokinetic data from 5 phase 1/2 clinical studies of lucitanib in a total of 403 patients with advanced cancers. Lucitanib was administered at 5‒30 mg daily doses as 1 of 2 immediate-release oral formulations: a film-coated tablet or a hard gelatin capsule.
Results
Lucitanib pharmacokinetics were best described by a 2-compartment model with zero-order release into the dosing compartment, followed by first-order absorption and first-order elimination. Large between-subject pharmacokinetic variability was partially explained by body weight. No effects of demographics or tumor type on lucitanib pharmacokinetics were observed. The model suggested that the formulation impacted release duration (tablet, 0.243 h; capsule, 0.814 h), but the effect was not considered clinically meaningful. No statistically significant effects were detected for concomitant cytochrome P450 (CYP) 3A4 inhibitors or inducers, CYP2C8 or P-glycoprotein inhibitors, serum albumin, mild/moderate renal impairment, or mild hepatic impairment. Concomitant proton pump inhibitors had no clinically significant effect on lucitanib absorption.
Conclusions
The PopPK model adequately described lucitanib pharmacokinetics. High between-subject pharmacokinetic variability supports a safety-based dose-titration strategy currently being used in an ongoing clinical study of lucitanib to optimize drug exposure and clinical benefit.
Trial Registration
ClinicalTrials.gov Identifier: NCT01283945, NCT02053636, ISRCTN23201971, NCT02202746, NCT02109016. |
doi_str_mv | 10.1007/s13318-022-00773-w |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9399017</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2691459261</sourcerecordid><originalsourceid>FETCH-LOGICAL-c423t-2e060e654eb909e409af9f0cc2c811b73d80f32da81d0838c0bf8a9848c9a5bb3</originalsourceid><addsrcrecordid>eNp9kUtLAzEUhYMottT-AVezdDN6k8wj2Qil-IKKFXQdMplMmzpNajLT4r83tUVwYzaHkO-ce8lB6BLDNQYobwKmFLMUCEnjtaTp7gQNCYYyBczgFA2BliwteVEM0DiEFcRDGc_z4hwNaM6yDAgfote52_St7IyzyXwp_Voq92Gs7oxKnl2tW2MXiWuSWa9MJ62pEhPByGvbhWRnumUyqbfSKl0n0734C3TWyDbo8VFH6P3-7m36mM5eHp6mk1mqMkK7lGgoQBd5pisOXGfAZcMbUIoohnFV0ppBQ0ktGa6BUaagapjkLGOKy7yq6AjdHnI3fbXWtYoLedmKjTdr6b-Ek0b8fbFmKRZuKzjlHHAZA66OAd599jp0Ym2C0m0rrXZ9EKTgOMs5KXBEyQFV3oXgdfM7BoPY1yEOdYhYh_ipQ-yiiR5MIcJ2ob1Yud7b-Cf_ub4BjhaN0A</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2691459261</pqid></control><display><type>article</type><title>Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer</title><source>SpringerLink Journals</source><creator>Liao, Mingxiang ; Zhou, Jie ; Wride, Kenton ; Lepley, Denise ; Cameron, Terri ; Sale, Mark ; Xiao, Jim</creator><creatorcontrib>Liao, Mingxiang ; Zhou, Jie ; Wride, Kenton ; Lepley, Denise ; Cameron, Terri ; Sale, Mark ; Xiao, Jim</creatorcontrib><description>Background
Lucitanib is an oral, potent, selective inhibitor of the tyrosine kinase activity of vascular endothelial growth factor receptors 1‒3, fibroblast growth factor receptors 1‒3, and platelet-derived growth factor receptors alpha/beta.
Objective
We aimed to develop a population pharmacokinetics (PopPK) model for lucitanib in patients with advanced cancers.
Methods
PopPK analyses were based on intensive and sparse oral pharmacokinetic data from 5 phase 1/2 clinical studies of lucitanib in a total of 403 patients with advanced cancers. Lucitanib was administered at 5‒30 mg daily doses as 1 of 2 immediate-release oral formulations: a film-coated tablet or a hard gelatin capsule.
Results
Lucitanib pharmacokinetics were best described by a 2-compartment model with zero-order release into the dosing compartment, followed by first-order absorption and first-order elimination. Large between-subject pharmacokinetic variability was partially explained by body weight. No effects of demographics or tumor type on lucitanib pharmacokinetics were observed. The model suggested that the formulation impacted release duration (tablet, 0.243 h; capsule, 0.814 h), but the effect was not considered clinically meaningful. No statistically significant effects were detected for concomitant cytochrome P450 (CYP) 3A4 inhibitors or inducers, CYP2C8 or P-glycoprotein inhibitors, serum albumin, mild/moderate renal impairment, or mild hepatic impairment. Concomitant proton pump inhibitors had no clinically significant effect on lucitanib absorption.
Conclusions
The PopPK model adequately described lucitanib pharmacokinetics. High between-subject pharmacokinetic variability supports a safety-based dose-titration strategy currently being used in an ongoing clinical study of lucitanib to optimize drug exposure and clinical benefit.
Trial Registration
ClinicalTrials.gov Identifier: NCT01283945, NCT02053636, ISRCTN23201971, NCT02202746, NCT02109016.</description><identifier>ISSN: 0378-7966</identifier><identifier>EISSN: 2107-0180</identifier><identifier>DOI: 10.1007/s13318-022-00773-w</identifier><identifier>PMID: 35844029</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Biomedical and Life Sciences ; Biomedicine ; Human Physiology ; ISRCTN ; ISRCTN23201971 ; Medical Biochemistry ; NCT ; NCT01283945 ; NCT02053636 ; NCT02109016 ; NCT02202746 ; Original ; Original Research Article ; Pharmaceutical Sciences/Technology ; Pharmacology/Toxicology ; Pharmacy</subject><ispartof>European journal of drug metabolism and pharmacokinetics, 2022-09, Vol.47 (5), p.711-723</ispartof><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-2e060e654eb909e409af9f0cc2c811b73d80f32da81d0838c0bf8a9848c9a5bb3</citedby><cites>FETCH-LOGICAL-c423t-2e060e654eb909e409af9f0cc2c811b73d80f32da81d0838c0bf8a9848c9a5bb3</cites><orcidid>0000-0002-3626-4732 ; 0000-0003-3632-2012 ; 0000-0002-6239-2359 ; 0000-0003-1853-1419</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13318-022-00773-w$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13318-022-00773-w$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Liao, Mingxiang</creatorcontrib><creatorcontrib>Zhou, Jie</creatorcontrib><creatorcontrib>Wride, Kenton</creatorcontrib><creatorcontrib>Lepley, Denise</creatorcontrib><creatorcontrib>Cameron, Terri</creatorcontrib><creatorcontrib>Sale, Mark</creatorcontrib><creatorcontrib>Xiao, Jim</creatorcontrib><title>Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer</title><title>European journal of drug metabolism and pharmacokinetics</title><addtitle>Eur J Drug Metab Pharmacokinet</addtitle><description>Background
Lucitanib is an oral, potent, selective inhibitor of the tyrosine kinase activity of vascular endothelial growth factor receptors 1‒3, fibroblast growth factor receptors 1‒3, and platelet-derived growth factor receptors alpha/beta.
Objective
We aimed to develop a population pharmacokinetics (PopPK) model for lucitanib in patients with advanced cancers.
Methods
PopPK analyses were based on intensive and sparse oral pharmacokinetic data from 5 phase 1/2 clinical studies of lucitanib in a total of 403 patients with advanced cancers. Lucitanib was administered at 5‒30 mg daily doses as 1 of 2 immediate-release oral formulations: a film-coated tablet or a hard gelatin capsule.
Results
Lucitanib pharmacokinetics were best described by a 2-compartment model with zero-order release into the dosing compartment, followed by first-order absorption and first-order elimination. Large between-subject pharmacokinetic variability was partially explained by body weight. No effects of demographics or tumor type on lucitanib pharmacokinetics were observed. The model suggested that the formulation impacted release duration (tablet, 0.243 h; capsule, 0.814 h), but the effect was not considered clinically meaningful. No statistically significant effects were detected for concomitant cytochrome P450 (CYP) 3A4 inhibitors or inducers, CYP2C8 or P-glycoprotein inhibitors, serum albumin, mild/moderate renal impairment, or mild hepatic impairment. Concomitant proton pump inhibitors had no clinically significant effect on lucitanib absorption.
Conclusions
The PopPK model adequately described lucitanib pharmacokinetics. High between-subject pharmacokinetic variability supports a safety-based dose-titration strategy currently being used in an ongoing clinical study of lucitanib to optimize drug exposure and clinical benefit.
Trial Registration
ClinicalTrials.gov Identifier: NCT01283945, NCT02053636, ISRCTN23201971, NCT02202746, NCT02109016.</description><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Human Physiology</subject><subject>ISRCTN</subject><subject>ISRCTN23201971</subject><subject>Medical Biochemistry</subject><subject>NCT</subject><subject>NCT01283945</subject><subject>NCT02053636</subject><subject>NCT02109016</subject><subject>NCT02202746</subject><subject>Original</subject><subject>Original Research Article</subject><subject>Pharmaceutical Sciences/Technology</subject><subject>Pharmacology/Toxicology</subject><subject>Pharmacy</subject><issn>0378-7966</issn><issn>2107-0180</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9kUtLAzEUhYMottT-AVezdDN6k8wj2Qil-IKKFXQdMplMmzpNajLT4r83tUVwYzaHkO-ce8lB6BLDNQYobwKmFLMUCEnjtaTp7gQNCYYyBczgFA2BliwteVEM0DiEFcRDGc_z4hwNaM6yDAgfote52_St7IyzyXwp_Voq92Gs7oxKnl2tW2MXiWuSWa9MJ62pEhPByGvbhWRnumUyqbfSKl0n0734C3TWyDbo8VFH6P3-7m36mM5eHp6mk1mqMkK7lGgoQBd5pisOXGfAZcMbUIoohnFV0ppBQ0ktGa6BUaagapjkLGOKy7yq6AjdHnI3fbXWtYoLedmKjTdr6b-Ek0b8fbFmKRZuKzjlHHAZA66OAd599jp0Ym2C0m0rrXZ9EKTgOMs5KXBEyQFV3oXgdfM7BoPY1yEOdYhYh_ipQ-yiiR5MIcJ2ob1Yud7b-Cf_ub4BjhaN0A</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Liao, Mingxiang</creator><creator>Zhou, Jie</creator><creator>Wride, Kenton</creator><creator>Lepley, Denise</creator><creator>Cameron, Terri</creator><creator>Sale, Mark</creator><creator>Xiao, Jim</creator><general>Springer International Publishing</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3626-4732</orcidid><orcidid>https://orcid.org/0000-0003-3632-2012</orcidid><orcidid>https://orcid.org/0000-0002-6239-2359</orcidid><orcidid>https://orcid.org/0000-0003-1853-1419</orcidid></search><sort><creationdate>20220901</creationdate><title>Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer</title><author>Liao, Mingxiang ; Zhou, Jie ; Wride, Kenton ; Lepley, Denise ; Cameron, Terri ; Sale, Mark ; Xiao, Jim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-2e060e654eb909e409af9f0cc2c811b73d80f32da81d0838c0bf8a9848c9a5bb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Human Physiology</topic><topic>ISRCTN</topic><topic>ISRCTN23201971</topic><topic>Medical Biochemistry</topic><topic>NCT</topic><topic>NCT01283945</topic><topic>NCT02053636</topic><topic>NCT02109016</topic><topic>NCT02202746</topic><topic>Original</topic><topic>Original Research Article</topic><topic>Pharmaceutical Sciences/Technology</topic><topic>Pharmacology/Toxicology</topic><topic>Pharmacy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liao, Mingxiang</creatorcontrib><creatorcontrib>Zhou, Jie</creatorcontrib><creatorcontrib>Wride, Kenton</creatorcontrib><creatorcontrib>Lepley, Denise</creatorcontrib><creatorcontrib>Cameron, Terri</creatorcontrib><creatorcontrib>Sale, Mark</creatorcontrib><creatorcontrib>Xiao, Jim</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European journal of drug metabolism and pharmacokinetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liao, Mingxiang</au><au>Zhou, Jie</au><au>Wride, Kenton</au><au>Lepley, Denise</au><au>Cameron, Terri</au><au>Sale, Mark</au><au>Xiao, Jim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer</atitle><jtitle>European journal of drug metabolism and pharmacokinetics</jtitle><stitle>Eur J Drug Metab Pharmacokinet</stitle><date>2022-09-01</date><risdate>2022</risdate><volume>47</volume><issue>5</issue><spage>711</spage><epage>723</epage><pages>711-723</pages><issn>0378-7966</issn><eissn>2107-0180</eissn><abstract>Background
Lucitanib is an oral, potent, selective inhibitor of the tyrosine kinase activity of vascular endothelial growth factor receptors 1‒3, fibroblast growth factor receptors 1‒3, and platelet-derived growth factor receptors alpha/beta.
Objective
We aimed to develop a population pharmacokinetics (PopPK) model for lucitanib in patients with advanced cancers.
Methods
PopPK analyses were based on intensive and sparse oral pharmacokinetic data from 5 phase 1/2 clinical studies of lucitanib in a total of 403 patients with advanced cancers. Lucitanib was administered at 5‒30 mg daily doses as 1 of 2 immediate-release oral formulations: a film-coated tablet or a hard gelatin capsule.
Results
Lucitanib pharmacokinetics were best described by a 2-compartment model with zero-order release into the dosing compartment, followed by first-order absorption and first-order elimination. Large between-subject pharmacokinetic variability was partially explained by body weight. No effects of demographics or tumor type on lucitanib pharmacokinetics were observed. The model suggested that the formulation impacted release duration (tablet, 0.243 h; capsule, 0.814 h), but the effect was not considered clinically meaningful. No statistically significant effects were detected for concomitant cytochrome P450 (CYP) 3A4 inhibitors or inducers, CYP2C8 or P-glycoprotein inhibitors, serum albumin, mild/moderate renal impairment, or mild hepatic impairment. Concomitant proton pump inhibitors had no clinically significant effect on lucitanib absorption.
Conclusions
The PopPK model adequately described lucitanib pharmacokinetics. High between-subject pharmacokinetic variability supports a safety-based dose-titration strategy currently being used in an ongoing clinical study of lucitanib to optimize drug exposure and clinical benefit.
Trial Registration
ClinicalTrials.gov Identifier: NCT01283945, NCT02053636, ISRCTN23201971, NCT02202746, NCT02109016.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35844029</pmid><doi>10.1007/s13318-022-00773-w</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-3626-4732</orcidid><orcidid>https://orcid.org/0000-0003-3632-2012</orcidid><orcidid>https://orcid.org/0000-0002-6239-2359</orcidid><orcidid>https://orcid.org/0000-0003-1853-1419</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biomedical and Life Sciences Biomedicine Human Physiology ISRCTN ISRCTN23201971 Medical Biochemistry NCT NCT01283945 NCT02053636 NCT02109016 NCT02202746 Original Original Research Article Pharmaceutical Sciences/Technology Pharmacology/Toxicology Pharmacy |
title | Population Pharmacokinetic Modeling of Lucitanib in Patients with Advanced Cancer |
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