DISCOVERY OF FIRST-IN-CLASS NSD2 DEGRADERS FOR CANCER THERAPY
发现用于癌症治疗的一流 NSD2 降解剂
基本信息
- 批准号:9814906
- 负责人:
- 金额:$ 34.73万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-08-23 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:Acute Lymphocytic LeukemiaAffinityBindingBiological AssayBiologyCancer BiologyCancer cell lineCell LineCellsCellular AssayChemicalsChildhood Acute Lymphocytic LeukemiaChromosomes, Human, Pair 14Chromosomes, Human, Pair 4ComplexDataDevelopmentDrug TargetingEpigenetic ProcessFamilyGene SilencingGenesGeneticGenetic TranscriptionGoalsHandHematopoietic NeoplasmsHistonesIn VitroKnowledgeLeadLengthLigandsLysineMalignant Childhood NeoplasmMalignant NeoplasmsMediatingMultiple MyelomaMutateMutationN-terminalNuclear ReceptorsOncogenicOncoproteinsPHD FingerPWWP DomainPathogenesisPatientsPermeabilityPharmaceutical ChemistryPharmacologyPhenocopyPlayProteinsReaderReagentReportingSET DomainSamplingStructureTechnologyTertiary Protein StructureTestingTherapeuticTherapeutic AgentsWorkacute lymphoblastic leukemia cellbasecancer genomecancer subtypescancer therapydesigndrug discoveryepigenetic regulationepigenetic therapyepigenomegain of function mutationimprovedinhibitor/antagonistinsightknock-downmembernoveloncologyoverexpressionpre-clinicalpreventprotein degradationreceptorreceptor bindingrecruitscreeningsmall moleculesmall molecule inhibitortherapeutic targettumorigenesisubiquitin ligaseubiquitin-protein ligase
项目摘要
ABSTRACT
Epigenetic dysregulation is an emerging hallmark of cancers, and examples of cancer associated
overexpression, mutation, translocation, or aberrant recruitment of the proteins which regulate the epigenome
are rapidly emerging. NSD2 (nuclear receptor-binding SET domain-containing 2) is a key player in epigenetic
regulation, known for its ability to mono- and dimethylate lysine 36 of histone 3 (H3K36). This mark is associated
with active transcription, and elevated levels of H3K36me2 lead to aberrant activation of normally silenced genes.
Consequently, NSD2 is a potent oncoprotein and has been implicated as a therapeutic target for a variety of
cancers. NSD2 was found to be among the most frequently mutated genes across 1,000 pediatric cancer
genomes representing 21 different pediatric cancer subtypes. A study in pediatric acute lymphoblastic leukemia
(ALL) cell lines and patient samples revealed a recurring gain of function mutation (E1099K) which resulted in
elevated H3K36me2 levels. Furthermore, NSD2 is involved in the pathogenesis of multiple myeloma (MM) which
is the second most common blood cancer. 15-20% of MM patients carry a translocation between chromosomes
4 and 14 [t(4;14)(p16.3;q32)] of which NSD2 is thought to be the primary oncogenic driver.
In addition to its catalytic SET domain, NSD2 contains several methyl-lysine (Kme) reader domains including
four PHD fingers and two PWWP domains which are thought to be critical in propagating H3K36me2 and
recruiting NSD2 to its oncogenic target genes. Although NSD2 clearly shows promise as a therapeutic target in
oncology, no small molecule ligands have been reported to date and it remains unclear as to which domains are
`druggable' and function most critically in promoting tumorigenesis. The creation of high-quality NSD2 chemical
probes will clearly provide much needed insight and serve as critical reagents in assessing preclinical target
validity, while providing the potential for an immediate transition to a drug discovery effort. Our recent efforts to
target the N-terminal PWWP domain of NSD2 have been successful in producing potent lead compounds.
With novel NSD2 inhibitors in hand, we aim to explore the development of NSD2 protein degradation reagents
which capitalize on advantages of small molecule inhibitors while moving beyond the limitations of traditional
receptor pharmacology. This emerging drug discovery strategy is particularly well-suited for NSD2 because 1) it
is a large multi-domain protein and we lack knowledge of the best domain to target, 2) inhibition of a single
domain may not be sufficient to phenocopy NDS2 genetic knockdown results and more broadly prevent
tumorigenesis, and 3) Kme reader domains are generally viewed as difficult drug targets. The overall objective
of this proposal is to apply medicinal chemistry, chemical biology, and cancer biology approaches to discover
first-in-class NSD2 bifunctional degraders in order to better understand NSD2 cancer biology, to assess NSD2
preclinical target validity, and as potential therapeutic agents.
摘要
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Lindsey Ingerman James其他文献
Lindsey Ingerman James的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Lindsey Ingerman James', 18)}}的其他基金
DISCOVERY OF FIRST-IN-CLASS NSD2 DEGRADERS FOR CANCER THERAPY
发现用于癌症治疗的一流 NSD2 降解剂
- 批准号:
10670764 - 财政年份:2019
- 资助金额:
$ 34.73万 - 项目类别:
DISCOVERY OF FIRST-IN-CLASS NSD2 DEGRADERS FOR CANCER THERAPY
发现用于癌症治疗的一流 NSD2 降解剂
- 批准号:
10001489 - 财政年份:2019
- 资助金额:
$ 34.73万 - 项目类别:
DISCOVERY OF FIRST-IN-CLASS NSD2 DEGRADERS FOR CANCER THERAPY
发现用于癌症治疗的一流 NSD2 降解剂
- 批准号:
10466804 - 财政年份:2019
- 资助金额:
$ 34.73万 - 项目类别:
DISCOVERY OF FIRST-IN-CLASS NSD2 DEGRADERS FOR CANCER THERAPY
发现用于癌症治疗的一流 NSD2 降解剂
- 批准号:
10223245 - 财政年份:2019
- 资助金额:
$ 34.73万 - 项目类别:
POLYCOMB REPRESSIVE COMLEXE AS KEY REGULATORS OF HIV LATENCY AND TARGETS FOR LATENCY REVERSAL
多梳抑制复合体作为 HIV 潜伏期的关键调节因子和潜伏期逆转的目标
- 批准号:
10620063 - 财政年份:2018
- 资助金额:
$ 34.73万 - 项目类别:
POLYCOMB REPRESSIVE COMLEXE AS KEY REGULATORS OF HIV LATENCY AND TARGETS FOR LATENCY REVERSAL
多梳抑制复合体作为 HIV 潜伏期的关键调节因子和潜伏期逆转的目标
- 批准号:
9759898 - 财政年份:2018
- 资助金额:
$ 34.73万 - 项目类别:
POLYCOMB REPRESSIVE COMLEXE AS KEY REGULATORS OF HIV LATENCY AND TARGETS FOR LATENCY REVERSAL
多梳抑制复合体作为 HIV 潜伏期的关键调节因子和潜伏期逆转的目标
- 批准号:
10656584 - 财政年份:2018
- 资助金额:
$ 34.73万 - 项目类别:
相似海外基金
Applications of Deep Learning for Binding Affinity Prediction
深度学习在结合亲和力预测中的应用
- 批准号:
2887848 - 财政年份:2023
- 资助金额:
$ 34.73万 - 项目类别:
Studentship
Metalloenzyme binding affinity prediction with VM2
使用 VM2 预测金属酶结合亲和力
- 批准号:
10697593 - 财政年份:2023
- 资助金额:
$ 34.73万 - 项目类别:
Building a binding community - Capacity and capability for affinity and kinetic analysis of molecular interactions.
建立结合社区 - 分子相互作用的亲和力和动力学分析的能力和能力。
- 批准号:
MR/X013227/1 - 财政年份:2022
- 资助金额:
$ 34.73万 - 项目类别:
Research Grant
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
使用动态网络模型定量预测由长程氨基酸取代引起的结合亲和力/特异性的变化
- 批准号:
10797940 - 财政年份:2022
- 资助金额:
$ 34.73万 - 项目类别:
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
使用动态网络模型定量预测由长距离氨基酸取代引起的结合亲和力/特异性的变化
- 批准号:
10502084 - 财政年份:2022
- 资助金额:
$ 34.73万 - 项目类别:
Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutions
使用动态网络模型定量预测由长距离氨基酸取代引起的结合亲和力/特异性的变化
- 批准号:
10707418 - 财政年份:2022
- 资助金额:
$ 34.73万 - 项目类别:
Binding affinity of inositol phosphate analogs to protein toxin TcdB
磷酸肌醇类似物与蛋白质毒素 TcdB 的结合亲和力
- 批准号:
573604-2022 - 财政年份:2022
- 资助金额:
$ 34.73万 - 项目类别:
University Undergraduate Student Research Awards
Computational predictions of thermostability and binding affinity changes in enzymes
酶热稳定性和结合亲和力变化的计算预测
- 批准号:
2610945 - 财政年份:2021
- 资助金额:
$ 34.73万 - 项目类别:
Studentship
I-Corps: Physics-Based Binding Affinity Estimator
I-Corps:基于物理的结合亲和力估计器
- 批准号:
2138667 - 财政年份:2021
- 资助金额:
$ 34.73万 - 项目类别:
Standard Grant
Computational modelling and simulation of antibodies to enhance binding affinity of a potential Burkholderia pseudomallei therapeutic
抗体的计算模型和模拟,以增强潜在的鼻疽伯克霍尔德氏菌治疗剂的结合亲和力
- 批准号:
2750554 - 财政年份:2021
- 资助金额:
$ 34.73万 - 项目类别:
Studentship