Discovery of the next-generation RET-targeted drugs based on nicotinamide scaffold
基于烟酰胺支架的下一代RET靶向药物的发现
基本信息
- 批准号:10505815
- 负责人:
- 金额:$ 61.21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-07-01 至 2027-06-30
- 项目状态:未结题
- 来源:
- 关键词:AffinityBenzamidesBiological MarkersBypassCancer PatientCancer cell lineChronicClinicalClinical ResearchCollaborationsDataDoseDose-LimitingDrug KineticsDrug TargetingDrug or chemical Tissue DistributionDrug resistanceEngineeringEthersEvaluationExcretory functionExhibitsGatekeepingGenesGoalsHumanImmune checkpoint inhibitorIn VitroIntracranial NeoplasmsKDR geneLaboratory StudyLeadLung NeoplasmsMalignant NeoplasmsMalignant neoplasm of lungMalignant neoplasm of thyroidMetabolismMetastatic malignant neoplasm to brainModelingMusMutationNeuraxisNiacinamideNon-Small-Cell Lung CarcinomaOncogenesOncogenicOralPatientsPharmaceutical PreparationsPhosphotransferasesPropertyProtein Tyrosine KinaseRegimenResistanceSolubilitySolventsStructure-Activity RelationshipTherapeutic IndexToxic effectTransfectionTransgenic MiceTumor-DerivedTyrosine Kinase InhibitorUnited States Food and Drug Administrationabsorptionaqueousbasecancer therapyclinical candidateclinical developmentdesignin vivoinhibitorkinase inhibitorlead optimizationmutantnext generationnovelnovel therapeuticspatient derived xenograft modelpharmacodynamic modelpharmacokinetics and pharmacodynamicsphysiologically based pharmacokineticspre-clinicalresistance mechanismresponsescaffoldscale upsubcutaneoustargeted treatmenttreatment responsetumortumor xenograft
项目摘要
Project Summary
Human cancers that contain the rearranged-during-transfection (RET) oncogene respond poorly to immune
checkpoint inhibitors, but have high response rates to the potent and reasonably selective RET protein tyrosine
kinase inhibitors (TKIs) selpercatinib and pralsetinib. While selpercatinib and pralsetinib can inhibit RET V804M/L
gatekeeper mutants, which are resistant to all other publicly known RET TKIs, the RET G810C/R/S solvent-front
mutations have been identified as the major on-target resistant mechanisms to both selpercatinib and pralsetinib.
We recently found that TKIs containing alkynyl nicotinamide scaffold were more drug-like than did the
corresponding alkynyl benzamides. Through our collaboration, we identified several nicotinamide-based lead
compounds that potently inhibit RET, its gatekeeper, solvent front, and roof mutants with selectivity against
VEGFR2 and are orally available. These are highly desirable properties for a next-generation RET inhibitor. The
long-term goal of this collaborative project is to further characterize the novel nicotinamide-based RET TKIs in
order to develop a best-in-class, next-generation potent and selective RET inhibitor that can be used to treat
acquired selpercatinib- and pralsetinib-resistant patients in addition to use as the first-line drug for RET-altered
cancers. In this project, we will select the best lead compounds through multi-parametric characterization and
structure-activity relationship optimization (Specific Aim 1); establish the absorption, distribution, metabolism,
excretion, and toxicity (ADMET)-pharmacokinetic (PK) profile and PK/pharmacodynamic (PK/PD) relationship of
selected compounds (Specific Aim 2); and evaluate PD biomarkers of kinase inhibition and anti-tumor efficacy
of down-selected RET inhibitors in subcutaneous and intracranial tumors derived from engineered and human
cancer cell lines, in lung tumors of transgenic mice, and in RET-altered cancer patient-derived xenografts (PDXs)
(Specific Aim 3). Through this collaborative, novel multi-parametric selection and optimization effort that
incorporates both in vitro and in vivo properties, we expect to obtain one or more potent and selective RET TKIs
that are effective on selpercatinib- and pralsetinib-resistant RET mutants and are orally bioavailable with
intracranial activity for further clinical development. This will facilitate the effort to increase the duration of tumor
response to treatment towards the goal of turning a currently incurable malignancy into a manageable chronic
condition, and ultimately a cure.
项目摘要
含有重排干 - 转染(RET)癌基因对免疫反应不佳的人类癌症
检查点抑制剂,但对有效和合理选择性RET蛋白酪氨酸的应答率很高
激酶抑制剂(TKIS)selpercatinib和pralsetinib。而selpercatinib和pralsetinib可以抑制RET V804M/L
守门员突变体,对所有其他公开闻名的RET TKI,RET G810C/r/s溶剂前抗溶剂,
突变已被鉴定为selpercatinib和pralsetinib的主要靶向抗性机制。
我们最近发现,含有烷基烟酰胺的TKI与药物相比,药物比
相应的藻酰胺。通过我们的合作,我们确定了几个基于烟酰胺的铅
有效抑制RET的化合物,其守门人,溶剂前部和屋顶突变体具有选择性
VEGFR2,可以口服。这些是下一代RET抑制剂的高度理想特性。这
这个协作项目的长期目标是进一步描述基于烟酰胺的小说ret tkis
为了开发可用于治疗的一流,下一代有效和选择性的RET抑制剂
除了用作重新替换的一线药物外,还获得了抗甲虫和抗甲替尼的耐药患者
癌症。在这个项目中,我们将通过多参数特征选择最佳的铅化合物和
结构活性关系优化(特定目标1);建立吸收,分布,代谢,
排泄和毒性(ADMET) - 摄影(PK)概况和PK/Pharmacodynical(PK/PD)的关系
选定的化合物(特定目标2);并评估激酶抑制和抗肿瘤功效的PD生物标志物
衍生自工程和人类的皮下和颅内肿瘤中的下选择的RET抑制剂
癌细胞系,转基因小鼠的肺部肿瘤,在改变的癌症患者衍生异种移植物(PDXS)中
(特定目标3)。通过这项合作,新颖的多参数选择和优化工作
在体外和体内特性都结合了
对于耐甲虫和抗甲替尼的耐药性RET突变体有效,并且可以口服生物利用
颅内活性,用于进一步的临床发育。这将有助于增加肿瘤持续时间
对治疗的反应,以将当前无法治愈的恶性肿瘤变成可控制的慢性
条件,最终是治愈的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Herman O Sintim其他文献
Targeting Serine Biosynthesis in Combination with the Modulation of Glutamine Metabolism Enhances Cellular Cytotoxicity in Acute Myeloid Leukemia
- DOI:
10.1182/blood-2022-162391 - 发表时间:
2022-11-15 - 期刊:
- 影响因子:
- 作者:
Kanwal Mahmood;Neetu Dayal;Dominique R Bollino;Herman O Sintim;Ashkan Emadi - 通讯作者:
Ashkan Emadi
Herman O Sintim的其他文献
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{{ truncateString('Herman O Sintim', 18)}}的其他基金
Targeting Cyclic Dinucleotide Signaling Pathways to Interrupt the Nature Cycle of Borrelia burgdorferi
靶向环状二核苷酸信号通路来中断伯氏疏螺旋体的自然循环
- 批准号:
10626774 - 财政年份:2020
- 资助金额:
$ 61.21万 - 项目类别:
Targeting Cyclic Dinucleotide Signaling Pathways to Interrupt the Nature Cycle of Borrelia burgdorferi
靶向环状二核苷酸信号通路来中断伯氏疏螺旋体的自然循环
- 批准号:
10405644 - 财政年份:2020
- 资助金额:
$ 61.21万 - 项目类别:
Targeting Cyclic Dinucleotide Signaling Pathways to Interrupt the Nature Cycle of Borrelia burgdorferi
靶向环状二核苷酸信号通路来中断伯氏疏螺旋体的自然循环
- 批准号:
10187521 - 财政年份:2020
- 资助金额:
$ 61.21万 - 项目类别:
Targeting MYC promoter G-quadruplex for MYC inhibition by Indenoisoquinolines
茚并异喹啉靶向 MYC 启动子 G-四链体抑制 MYC
- 批准号:
10627757 - 财政年份:2014
- 资助金额:
$ 61.21万 - 项目类别:
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