Identifying Actionable Signatures of Duodenopancreatic Neuroendocrine Tumor Progression in MEN1
识别 MEN1 十二指肠胰腺神经内分泌肿瘤进展的可操作特征
基本信息
- 批准号:10041298
- 负责人:
- 金额:$ 41.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-07-10 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAllelesAnimalsAntigen-Antibody ComplexArea Under CurveBiologicalBiological MarkersBiological ModelsBlindedBloodBlood specimenCessation of lifeClinicalClinical ManagementCollaborationsDevelopmentDiseaseDisease ProgressionDistant MetastasisDuodenumEarly DiagnosisEnterobacteria phage P1 Cre recombinaseEuropeExcisionExhibitsFeasibility StudiesFollow-Up StudiesFutureGeneticGenetically Engineered MouseGoalsHomeoboxHumanImmunotherapeutic agentInterventionLiquid substanceLongitudinal StudiesMass Spectrum AnalysisMetastatic Neoplasm to the LiverMissionModelingMolecularMolecular ProfilingMorbidity - disease rateMultiple Endocrine Neoplasia Type 1MusMutationNeoplasm MetastasisNeuroendocrine TumorsOperative Surgical ProceduresPancreasPancreatic AdenocarcinomaPatientsPerformancePersonsPlasmaProteinsProteomicsPublic HealthReceiver Operating CharacteristicsReportingResearchRetrospective cohortRiskRisk MarkerRisk stratificationSamplingTechnologyTissue SampleTissuesTumor AntigensValidationbaseblood-based biomarkercancer typecase controlcohortcurative treatmentsexosomeexperiencehigh riskhuman diseaseliquid biopsylymph nodesmetabolomicsmouse modelmultiple omicsneuroendocrine differentiationnew therapeutic targetpatient populationpreventprogenitorpromoterprospective testrare conditiontherapeutic targettriple-negative invasive breast carcinomatumor progressionvaccine development
项目摘要
Project summary
Patients with Multiple Endocrine Neoplasia type 1 (MEN1) almost invariably develop multiple
duodenopancreatic neuroendocrine tumors (dpNETs), but only a subset progress to metastasis. Currently, we
lack the ability to identify those patients at high risk of developing aggressive and metastatic disease. Surgical
resection is the only curative option when dpNETs are localized, and is associated with significant morbidity.
There is a critical unmet need for molecular, actionable features associated with the development of metastatic
dpNETs that provide for markers of risk stratification, or represent therapeutic targets. Our long-term goals are
to develop a liquid biopsy approach to identify patients with MEN1-related dpNETs that are at high risk of
developing distant metastasis and to develop novel targeted therapies to prevent metastasis. The overall
objective of this study is to identify actionable signatures of pNET progression by performing integrated multi-
omic profiling of longitudinally collected plasma-, plasma-derived exosomes and tissue from a mouse model of
MEN1-pNET and of retrospective blood samples from patients with MEN1-related dpNETs. To address this
objective, we propose two specific aims. In Specific Aim 1 we will collect longitudinal plasma, plasma-derived
exosomes, and tissue samples from a Men1fl/flPdx1-CreTg mouse model of MEN1-pNET and, using these
biospecimen, perform mass spectrometry based metabolomic, proteomic and immune complex profiling to
identify signatures associated with disease development and progression. In Specific Aim 2 we will identify blood-
based signatures associated with metastatic disease in human samples of MEN1-related dpNET. This will be
accomplished by untargeted metabolomic, proteomic and immune complex profiling of blood in a retrospective
cohort of MEN1 patients with dpNETs with distant metastases (cases; n=15); MEN1 patients with dpNETs
without distant metastases (n=30), and MEN1 patients without dpNETs (n=15). Blinded validation of identified
biomarkers will be performed in a second equally sized independent patient cohort.
This unique collaboration takes advantage of state-of-the-art mass spectrometry technology, a disease
relevant genetic mouse model of MEN1-related pNET as well as blood samples from three well-characterized
MEN1 cohorts from expert centers in the US and Europe with the sole objective of identifying actionable features
that may offer utility for risk stratification or provide therapeutic targets. This project is significant because it aims
to address an unmet clinical need by identifying blood-based biomarkers associated with disease progression
and metastasis in patients with MEN1-related dpNETs as well as identifying a set of tumor antigens associated
with dpNETs that may be harnessed for the subsequent development of vaccines for subjects at risk and/or as
targets for immunotherapeutic applications. This approach opens new horizons for risk-stratification and
exploration of novel therapeutic targets in MEN1-related dpNETs. As over 40% of sporadic pNETs carry somatic
MEN1-mutations, these findings can also be relevant to this broader patient population.
项目摘要
多发性内分泌瘤1型(MEN 1)患者几乎总是发生多发性内分泌瘤。
胰腺神经内分泌肿瘤(dpNET),但只有一个子集进展到转移。目前我们
缺乏识别那些具有发展侵袭性和转移性疾病高风险的患者的能力。手术
当dpNET局限于局部时,切除术是唯一的治疗选择,并且与显著的发病率相关。
对于与转移性肿瘤的发展相关的分子的、可操作的特征,存在关键的未满足的需求。
dpNET提供风险分层的标志物,或代表治疗靶点。我们的长期目标是
开发一种液体活检方法,以识别具有MEN 1相关dpNET的高风险患者,
发展远处转移和发展新的靶向治疗以防止转移。整体
本研究的目的是通过进行综合的多项研究,
从小鼠模型纵向收集的血浆、血浆衍生的外来体和组织的组学分析
MEN 1-pNET和MEN 1相关dpNET患者的回顾性血液样本。为了解决这个
我们提出两个具体目标。在特定目标1中,我们将收集纵向等离子体,等离子体衍生的
外泌体和来自MEN 1-pNET的Men 1fl/flPdx 1-CreTg小鼠模型的组织样品,并且使用这些
生物样本,进行基于质谱的代谢组学、蛋白质组学和免疫复合物分析,
识别与疾病发展和进展相关的特征。在《特殊目标2》中,我们将识别血液-
基于MEN 1相关dpNET人类样本中与转移性疾病相关的特征。这将是
在回顾性研究中,通过血液的非靶向代谢组学、蛋白质组学和免疫复合物分析来完成
伴有远处转移的dpNET的MEN 1患者队列(病例; n=15); dpNET的MEN 1患者
无远处转移(n=30)和无dpNET的MEN 1患者(n=15)。盲态验证已确定
将在第二个同等大小的独立患者组中进行生物标志物的测定。
这种独特的合作利用了最先进的质谱技术,
MEN 1相关pNET的相关遗传小鼠模型以及来自三个充分表征的
来自美国和欧洲专家中心的MEN 1队列,其唯一目标是识别可操作特征
这可能为风险分层提供实用性或提供治疗靶点。这个项目意义重大,因为它旨在
通过鉴定与疾病进展相关的血液生物标志物来解决未满足的临床需求
MEN 1相关dpNETs患者的肿瘤转移以及鉴定一组与MEN 1相关dpNETs相关的肿瘤抗原
这些dpNET可用于随后开发用于有风险的受试者的疫苗和/或
免疫学应用的目标。这种方法为风险分层开辟了新的视野,
探索MEN 1相关dpNETs的新治疗靶点。由于超过40%的散发性pNET携带体细胞
MEN 1突变,这些发现也可能与更广泛的患者人群相关。
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 }}
SAMIR M HANASH其他文献
SAMIR M HANASH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('SAMIR M HANASH', 18)}}的其他基金
Prostate cancer-associated SPOP mutations modulate innate immune response and immune checkpoint therapy
前列腺癌相关的 SPOP 突变调节先天免疫反应和免疫检查点治疗
- 批准号:
10314069 - 财政年份:2020
- 资助金额:
$ 41.65万 - 项目类别:
Development of Risk and Early Detection Biomarker for Small Cell Lung Cancer
小细胞肺癌风险和早期检测生物标志物的开发
- 批准号:
9762873 - 财政年份:2017
- 资助金额:
$ 41.65万 - 项目类别:
Development of Risk and Early Detection Biomarker for Small Cell Lung Cancer
小细胞肺癌风险和早期检测生物标志物的开发
- 批准号:
9386560 - 财政年份:2017
- 资助金额:
$ 41.65万 - 项目类别:
Development of Risk and Early Detection Biomarker for Small Cell Lung Cancer
小细胞肺癌风险和早期检测生物标志物的开发
- 批准号:
10242852 - 财政年份:2017
- 资助金额:
$ 41.65万 - 项目类别:
CONFIRMATION STUDIES OF BLOOD BASED BIOMARKERS OF RISK FOR BREAST CANCER
乳腺癌风险的血液生物标志物的确认研究
- 批准号:
8290296 - 财政年份:2011
- 资助金额:
$ 41.65万 - 项目类别:
CONFIRMATION STUDIES OF BLOOD BASED BIOMARKERS OF RISK FOR BREAST CANCER
乳腺癌风险的血液生物标志物的确认研究
- 批准号:
8176348 - 财政年份:2011
- 资助金额:
$ 41.65万 - 项目类别:
Affinity Based Strategies to Fast Track Development of Colon Cancer Biomarkers
基于亲和力的策略快速开发结肠癌生物标志物
- 批准号:
8686771 - 财政年份:2010
- 资助金额:
$ 41.65万 - 项目类别:
Affinity Based Strategies to Fast Track Development of Colon Cancer Biomarkers
基于亲和力的策略快速开发结肠癌生物标志物
- 批准号:
8129616 - 财政年份:2010
- 资助金额:
$ 41.65万 - 项目类别:
Affinity Based Strategies to Fast Track Development of Colon Cancer Biomarkers
基于亲和力的策略快速开发结肠癌生物标志物
- 批准号:
8284426 - 财政年份:2010
- 资助金额:
$ 41.65万 - 项目类别:
Affinity Based Strategies to Fast Track Development of Colon Cancer Biomarkers
基于亲和力的策略快速开发结肠癌生物标志物
- 批准号:
7982796 - 财政年份:2010
- 资助金额:
$ 41.65万 - 项目类别:
相似海外基金
Linkage of HIV amino acid variants to protective host alleles at CHD1L and HLA class I loci in an African population
非洲人群中 HIV 氨基酸变异与 CHD1L 和 HLA I 类基因座的保护性宿主等位基因的关联
- 批准号:
502556 - 财政年份:2024
- 资助金额:
$ 41.65万 - 项目类别:
Olfactory Epithelium Responses to Human APOE Alleles
嗅觉上皮对人类 APOE 等位基因的反应
- 批准号:
10659303 - 财政年份:2023
- 资助金额:
$ 41.65万 - 项目类别:
Deeply analyzing MHC class I-restricted peptide presentation mechanistics across alleles, pathways, and disease coupled with TCR discovery/characterization
深入分析跨等位基因、通路和疾病的 MHC I 类限制性肽呈递机制以及 TCR 发现/表征
- 批准号:
10674405 - 财政年份:2023
- 资助金额:
$ 41.65万 - 项目类别:
An off-the-shelf tumor cell vaccine with HLA-matching alleles for the personalized treatment of advanced solid tumors
具有 HLA 匹配等位基因的现成肿瘤细胞疫苗,用于晚期实体瘤的个性化治疗
- 批准号:
10758772 - 财政年份:2023
- 资助金额:
$ 41.65万 - 项目类别:
Identifying genetic variants that modify the effect size of ApoE alleles on late-onset Alzheimer's disease risk
识别改变 ApoE 等位基因对迟发性阿尔茨海默病风险影响大小的遗传变异
- 批准号:
10676499 - 财政年份:2023
- 资助金额:
$ 41.65万 - 项目类别:
New statistical approaches to mapping the functional impact of HLA alleles in multimodal complex disease datasets
绘制多模式复杂疾病数据集中 HLA 等位基因功能影响的新统计方法
- 批准号:
2748611 - 财政年份:2022
- 资助金额:
$ 41.65万 - 项目类别:
Studentship
Recessive lethal alleles linked to seed abortion and their effect on fruit development in blueberries
与种子败育相关的隐性致死等位基因及其对蓝莓果实发育的影响
- 批准号:
22K05630 - 财政年份:2022
- 资助金额:
$ 41.65万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Genome and epigenome editing of induced pluripotent stem cells for investigating osteoarthritis risk alleles
诱导多能干细胞的基因组和表观基因组编辑用于研究骨关节炎风险等位基因
- 批准号:
10532032 - 财政年份:2022
- 资助金额:
$ 41.65万 - 项目类别:
Investigating the Effect of APOE Alleles on Neuro-Immunity of Human Brain Borders in Normal Aging and Alzheimer's Disease Using Single-Cell Multi-Omics and In Vitro Organoids
使用单细胞多组学和体外类器官研究 APOE 等位基因对正常衰老和阿尔茨海默病中人脑边界神经免疫的影响
- 批准号:
10525070 - 财政年份:2022
- 资助金额:
$ 41.65万 - 项目类别:
Leveraging the Evolutionary History to Improve Identification of Trait-Associated Alleles and Risk Stratification Models in Native Hawaiians
利用进化历史来改进夏威夷原住民性状相关等位基因的识别和风险分层模型
- 批准号:
10689017 - 财政年份:2022
- 资助金额:
$ 41.65万 - 项目类别:














{{item.name}}会员




