Project 2: Specifically Targeting Oncoproteins with PCC Agent-Loaded Nanoparticles: KRASG12D and AktE17K
项目 2:使用装载 PCC 试剂的纳米颗粒特异性靶向癌蛋白:KRASG12D 和 AktE17K
基本信息
- 批准号:8962031
- 负责人:
- 金额:$ 37.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-01 至 2020-07-31
- 项目状态:已结题
- 来源:
- 关键词:1-Phosphatidylinositol 3-KinaseAdverse effectsAnimal ModelAntibodiesBindingBinding ProteinsBiological AssayBiologyCancer CenterCellsCharacteristicsChemicalsCodon NucleotidesCombined Modality TherapyCrystallizationDataDevelopmentDiseaseDrug CombinationsDrug Delivery SystemsDrug FormulationsDrug TargetingEncapsulatedEpidermal Growth Factor ReceptorEpidermal Growth Factor Receptor Tyrosine Kinase InhibitorEpitopesExanthemaFamilyIn VitroLabelLifeLigandsMalignant NeoplasmsMolecularMonoclonal AntibodiesMutateMutationNon-Small-Cell Lung CarcinomaOncogene ProteinsOncogenesParticipantPeptidesPerformancePharmaceutical ChemistryPharmaceutical PreparationsPhase I/II TrialPoint MutationProtein BindingProtein InhibitionProteinsProteolysisReagentRelative (related person)ReportingSiteSmall Interfering RNAStaining methodStainsSystemTechnologyTherapeuticTimeLineTissue StainsTissuesToxic effectVariantWorkbasecell fixingdesignflexibilityhuman subjectin vivoinhibitor/antagonistmouse modelmutantnanonanoparticlenanosystemssmall moleculestemtool
项目摘要
PROJECT 2: Specifically Targeting Oncoproteins with PCC Agent-Loaded Nanoparticles: KRASG12D
and AktE17K.
ABSTRACT:
Activating point mutations in oncogenes are often cancer driver mutations. Common examples include the
RAS family when mutated at codons 12, 13, or 61[1]. The E17K mutation of Akt [2], plus mutations in the
epidermal growth factor receptor (EGFR)[3], or Phosphatidylinositol 3-kinases (PI3k)[4] are other examples.
Reagents selective for such oncoproteins can serve as in vitro (tissue staining) tools, or potentially as drugs
that target only the disease-associated mutant, thus avoiding the toxic side-effects that stem from inhibition of
the wild-type (wt) variants [5] that reside in healthy tissues. For example, the EGFR inhibitor CO-1686
(currently in trials[6]) is specific for the T790M mutation associated with some non-small cell lung carcinomas,
and is designed to minimize toxicities (such as skin rash) that can appear when wt EGFR is targeted[7].
However, activating mutations are often not associated with a binding pocket, which is a requirement for small
molecule inhibitor development. Monoclonal antibodies (mAbs) can be raised against mutant oncoproteins,[8-
10] but mAbs do not enter the living cells that often harbor the oncoproteins[11, 12]. We propose to build upon
three Caltech technologies: epitope targeted Protein Catalyzed Capture (PCC) Agents (Heath)[13, 14],
polycyclodextrin nanoparticle (NP) delivery systems (Davis)[15], and proteolysis-targeting chimeric molecules
(protacs)[16] (Deshaies), to develop an approach for selectively detecting and drugging mutant oncoproteins.
Rationale with NSBCC theme A unique value brought by oncoprotein specific drugs as combination therapy
components[17, 18] is that they should significantly open up the therapeutic window for drug combinations.
项目2:用PCC载药纳米颗粒特异性靶向癌蛋白:KRASG 12 D
AktE17K。
摘要:
癌基因中的激活点突变通常是癌症驱动突变。常见的例子包括
当在密码子12、13或61处突变时,RAS家族[1]。Akt的E17 K突变[2],加上
表皮生长因子受体(EGFR)[3]或磷脂酰肌醇3-激酶(PI 3 k)[4]是其它实例。
对这些癌蛋白具有选择性的试剂可以作为体外(组织染色)工具,或潜在地作为药物
只针对疾病相关的突变体,从而避免了抑制
野生型(wt)变体[5]存在于健康组织中。例如,EGFR抑制剂CO-1686
(目前在试验中[6])对与一些非小细胞肺癌相关的T790 M突变具有特异性,
并且被设计为最小化当靶向wt EGFR时可能出现的毒性(例如皮疹)[7]。
然而,激活突变通常不与结合口袋相关,这是小分子的需要。
分子抑制剂开发。单克隆抗体(mAb)可以针对突变的癌蛋白,[8- 10]。
10]但单克隆抗体不进入通常含有癌蛋白的活细胞[11,12]。我们建议建立在
三种Caltech技术:表位靶向蛋白质催化捕获(PCC)剂(Heath)[13,14],
聚环糊精纳米颗粒(NP)递送系统(Davis)[15]和蛋白水解靶向嵌合分子
(protacs)[16](Deshaies),开发一种选择性检测和药物突变癌蛋白的方法。
NSBCC主题的基本原理:癌蛋白特异性药物作为联合治疗带来的独特价值
[17,18]的一个重要方面是,它们应该显著打开药物组合的治疗窗口。
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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James R. Heath其他文献
Correction: Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19
- DOI:
10.1186/s13073-023-01278-0 - 发表时间:
2024-01-06 - 期刊:
- 影响因子:11.200
- 作者:
Daniela Matuozzo;Estelle Talouarn;Astrid Marchal;Peng Zhang;Jeremy Manry;Yoann Seeleuthner;Yu Zhang;Alexandre Bolze;Matthieu Chaldebas;Baptiste Milisavljevic;Adrian Gervais;Paul Bastard;Takaki Asano;Lucy Bizien;Federica Barzaghi;Hassan Abolhassani;Ahmad Abou Tayoun;Alessandro Aiuti;Ilad Alavi Darazam;Luis M. Allende;Rebeca Alonso-Arias;Andrés Augusto Arias;Gokhan Aytekin;Peter Bergman;Simone Bondesan;Yenan T. Bryceson;Ingrid G. Bustos;Oscar Cabrera-Marante;Sheila Carcel;Paola Carrera;Giorgio Casari;Khalil Chaïbi;Roger Colobran;Antonio Condino-Neto;Laura E. Covill;Ottavia M. Delmonte;Loubna El Zein;Carlos Flores;Peter K. Gregersen;Marta Gut;Filomeen Haerynck;Rabih Halwani;Selda Hancerli;Lennart Hammarström;Nevin Hatipoğlu;Adem Karbuz;Sevgi Keles;Christèle Kyheng;Rafael Leon-Lopez;Jose Luis Franco;Davood Mansouri;Javier Martinez-Picado;Ozge Metin Akcan;Isabelle Migeotte;Pierre-Emmanuel Morange;Guillaume Morelle;Andrea Martin-Nalda;Giuseppe Novelli;Antonio Novelli;Tayfun Ozcelik;Figen Palabiyik;Qiang Pan-Hammarström;Rebeca Pérez de Diego;Laura Planas-Serra;Daniel E. Pleguezuelo;Carolina Prando;Aurora Pujol;Luis Felipe Reyes;Jacques G. Rivière;Carlos Rodriguez-Gallego;Julian Rojas;Patrizia Rovere-Querini;Agatha Schlüter;Mohammad Shahrooei;Ali Sobh;Pere Soler-Palacin;Yacine Tandjaoui-Lambiotte;Imran Tipu;Cristina Tresoldi;Jesus Troya;Diederik van de Beek;Mayana Zatz;Pawel Zawadzki;Saleh Zaid Al-Muhsen;Mohammed Faraj Alosaimi;Fahad M. Alsohime;Hagit Baris-Feldman;Manish J. Butte;Stefan N. Constantinescu;Megan A. Cooper;Clifton L. Dalgard;Jacques Fellay;James R. Heath;Yu-Lung Lau;Richard P. Lifton;Tom Maniatis;Trine H. Mogensen;Horst von Bernuth;Alban Lermine;Michel Vidaud;Anne Boland;Jean-François Deleuze;Robert Nussbaum;Amanda Kahn-Kirby;France Mentre;Sarah Tubiana;Guy Gorochov;Florence Tubach;Pierre Hausfater;Isabelle Meyts;Shen-Ying Zhang;Anne Puel;Luigi D. Notarangelo;Stephanie Boisson-Dupuis;Helen C. Su;Bertrand Boisson;Emmanuelle Jouanguy;Jean-Laurent Casanova;Qian Zhang;Laurent Abel;Aurélie Cobat - 通讯作者:
Aurélie Cobat
C60's smallest cousin
C60 的最小“亲戚”
- DOI:
10.1038/31579 - 发表时间:
1998-06-25 - 期刊:
- 影响因子:48.500
- 作者:
James R. Heath - 通讯作者:
James R. Heath
Protein Catalyzed Capture (PCC) Agents for Antigen Targeting.
用于抗原靶向的蛋白质催化捕获 (PCC) 试剂。
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
M. Idso;B. Lai;Heather D Agnew;James R. Heath - 通讯作者:
James R. Heath
Planar Patch-Clamp Electrodes for Single Cell and Neural Network Studies
- DOI:
10.1016/j.bpj.2009.12.3287 - 发表时间:
2010-01-01 - 期刊:
- 影响因子:
- 作者:
John M. Nagarah;Daniel A. Wagenaar;James R. Heath - 通讯作者:
James R. Heath
Stereochemical engineering of a peptide macrocycle allosteric inhibitor of phospho-Akt2 controls cell penetration by fine-tuning macrocycle-cell membrane interactions
磷酸 Akt2 肽大环变构抑制剂的立体化学工程通过微调大环 - 细胞膜相互作用来控制细胞渗透
- DOI:
10.26434/chemrxiv-2021-kldh7 - 发表时间:
2021 - 期刊:
- 影响因子:5.9
- 作者:
Arundhati Nag;A. Mafi;Samir R Das;Mary Beth Yu;Belen Alvarez;W. Goddard;James R. Heath - 通讯作者:
James R. Heath
James R. Heath的其他文献
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{{ truncateString('James R. Heath', 18)}}的其他基金
Spatiotemporal Tumor Analytics for Guiding Sequential Targeted-Inhibitor: Immunotherapy Combinations (ST-Analytics)
用于指导序贯靶向抑制剂的时空肿瘤分析:免疫治疗组合(ST-Analytics)
- 批准号:
10708901 - 财政年份:2022
- 资助金额:
$ 37.3万 - 项目类别:
PROJECT 1: TIME-Based Spatiotemporal Cancer Immunograms Predictive for Immunotherapy-Targeted Therapy Sequential Combinations
项目 1:基于时间的时空癌症免疫图预测免疫治疗靶向治疗顺序组合
- 批准号:
10907268 - 财政年份:2022
- 资助金额:
$ 37.3万 - 项目类别:
Spatiotemporal Tumor Analytics for Guiding Sequential Targeted-Inhibitor: Immunotherapy Combinations (ST-Analytics)
用于指导序贯靶向抑制剂的时空肿瘤分析:免疫治疗组合(ST-Analytics)
- 批准号:
10526101 - 财政年份:2022
- 资助金额:
$ 37.3万 - 项目类别:
PROJECT 1: TIME-Based Spatiotemporal Cancer Immunograms Predictive for Immunotherapy-Targeted Therapy Sequential Combinations
项目 1:基于时间的时空癌症免疫图预测免疫治疗靶向治疗顺序组合
- 批准号:
10526103 - 财政年份:2022
- 资助金额:
$ 37.3万 - 项目类别:
PROJECT 1: TIME-Based Spatiotemporal Cancer Immunograms Predictive for Immunotherapy-Targeted Therapy Sequential Combinations
项目 1:基于时间的时空癌症免疫图预测免疫治疗靶向治疗顺序组合
- 批准号:
10708924 - 财政年份:2022
- 资助金额:
$ 37.3万 - 项目类别:
Data-driven Patient-Specific Agent Based Models of Metastatic Melanoma for Immunotherapy Response Prediction
用于免疫治疗反应预测的数据驱动的基于患者特异性药物的转移性黑色素瘤模型
- 批准号:
10831325 - 财政年份:2022
- 资助金额:
$ 37.3万 - 项目类别:
Nano and biomolecular engineered technologies for neoantigen-specific T cell capture and characterization
用于新抗原特异性 T 细胞捕获和表征的纳米和生物分子工程技术
- 批准号:
10297588 - 财政年份:2021
- 资助金额:
$ 37.3万 - 项目类别:
Nano and biomolecular engineered technologies for neoantigen-specific T cell capture and characterization
用于新抗原特异性 T 细胞捕获和表征的纳米和生物分子工程技术
- 批准号:
10489832 - 财政年份:2021
- 资助金额:
$ 37.3万 - 项目类别:
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