The Center for Tumor-Immune Systems Biology at MSKCC
MSKCC 肿瘤免疫系统生物学中心
基本信息
- 批准号:10525190
- 负责人:
- 金额:$ 265.5万
- 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:2022-09-16 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAlgorithmic AnalysisAnti-Inflammatory AgentsAstrocytesAwardBrainCD8-Positive T-LymphocytesCancer BiologyCancer CenterCaspaseCell DeathCellsChromatinClear cell renal cell carcinomaColon CarcinomaComplexComputational BiologyComputing MethodologiesDataData SetDendritic CellsDevelopmentDisease associated microgliaDistalEcosystemEducation and OutreachEducational workshopEngineeringFunctional disorderGenetic TranscriptionHumanImmuneImmune responseImmune systemImmunofluorescence ImmunologicImmunological ModelsImmunologicsImmunologyImmunotherapeutic agentImmunotherapyIn complete remissionInvestigationLigandsLinkLiverLung AdenocarcinomaMalignant NeoplasmsMediatingMelanoma CellMemorial Sloan-Kettering Cancer CenterMetastatic Neoplasm to Lymph NodesMetastatic Neoplasm to the LeptomeningesMethodsMismatch RepairMitochondriaModalityModelingMolecular AnalysisOrganPatientsProcessRefractoryRegulator GenesRenal Cell CarcinomaResearchResearch PersonnelResearch Project GrantsResistanceResource SharingRoleScientific Advances and AccomplishmentsScientistSolid NeoplasmSystemSystems BiologyT cell responseT memory cellT-LymphocyteTechnologyTherapeuticTrainingTraining ActivityTraining ProgramsTumor Immunityanti-cancerbasecancer carecancer cellcancer immunotherapeuticscancer immunotherapyclinical carecolorectal cancer metastasiscomputer studiesdesignexperimental studygraduate studentimmune checkpoint blockadeimmunogenicimmunogenic cell deathimprovedinnovationinsightlearning strategylecturesmachine learning modelmalignant breast neoplasmmouse modelmultidisciplinarynovelnovel strategiesoptical imagingprogramsreceptorrefractory cancerresponsestandard of caresuccesssymposiumtissue regenerationtooltranscriptomicstumortumor immunologytumor-immune system interactionsundergraduate student
项目摘要
The Center for Tumor-Immune Systems Biology at MSKCC
SUMMARY
The advent of cancer immunotherapies based on immune checkpoint blockade (ICB) has revolutionized clinical
care in multiple solid tumor types and demonstrated the power of the immune system to target and eliminate
cancer cells. Despite these breakthroughs, the efficacy of ICB-based immunotherapy is limited to a subset of
cancers, and even in tumors where ICB is now the standard of care, only a fraction of patients achieve durable
complete responses. Addressing these limitations requires (1) improving our fundamental understanding of
tumor-immune interactions in immunological contexts where current immunotherapies fail and (2) developing
novel strategies for enhancing responses in contexts where they have only partial success. The Center for
Tumor-Immune Systems Biology at MSKCC has assembled a multi-disciplinary team of leading investigators
in computational biology, immunology, and cancer biology to tackle these challenges. The Center is organized
around three Research Projects that integrate computational and experimental studies in mouse models and
molecular analyses in patient tumors in both immunotherapy-resistant and -responsive contexts, exploiting novel
machine learning modeling of single-cell multiome, highly multiplexed optical imaging using confocal
immunofluorescence, and spatial transcriptomic data sets. We will investigate distinct immune
microenvironments where cancers are refractory to ICB: metastatic colonization of the brain, an immune-
privileged organ where the interplay of cancer cells, astrocytes, and different states of disease-associated
microglia dictate modes of invasion (Project I); and mismatch-repair proficient primary colon cancer, where
tumors reside in a tolerizing microenvironment and interact with complex cellular circuits of regulatory and
conventional T cells, together with metastases to the lymph node and liver (Project II). We will also carry out a
systems biology interrogation of cancer cell death mechanisms in models of ICB-responsive melanoma and
renal cell carcinoma, based on findings that engineering mitochondrial damage-dependent but caspase-
independent cell death elicits anti-cancer immunity and protection against tumor rechallenge (Project III). A
Shared Resource Core will interact with all three Research Projects to develop computational methods and
establish technologies for spatial analyses of the tumor-immune microenvironment. These studies will advance
our fundamental understanding of tumor-immune ecosystems in ICB-refractory microenvironments and of
immune responses to therapeutically induced immunogenic cancer cell death in ICB-responsive settings,
ultimately leading to novel immunotherapeutic targets and combination strategies. Our team will build on the
successes of our previous CSBC U54 Center award for the Center for Cancer Systems Immunology at MSKCC,
which produced numerous high-impact studies at the forefront of systems biology and cancer immunology. Our
Research Center will also carry out innovative outreach and training activities to disseminate research findings
in tumor-immune systems biology and to train young scientists in this critical field.
MSKCC 肿瘤免疫系统生物学中心
概括
基于免疫检查点阻断(ICB)的癌症免疫疗法的出现彻底改变了临床
对多种实体瘤类型进行护理,并证明了免疫系统靶向和消除的能力
癌细胞。尽管取得了这些突破,但基于 ICB 的免疫疗法的疗效仅限于一小部分患者。
癌症,甚至在 ICB 现在成为护理标准的肿瘤中,也只有一小部分患者能够实现持久治疗
完整的答复。解决这些局限性需要 (1) 提高我们对
当前免疫疗法失败的免疫环境中的肿瘤-免疫相互作用以及(2)正在发展
在只取得部分成功的情况下加强反应的新策略。该中心
MSKCC 的肿瘤免疫系统生物学组建了一支由领先研究人员组成的多学科团队
计算生物学、免疫学和癌症生物学领域的研究人员来应对这些挑战。该中心已组织
围绕三个研究项目,将小鼠模型中的计算和实验研究结合起来
在免疫治疗耐药和应答的情况下对患者肿瘤进行分子分析,利用新的方法
使用共聚焦的单细胞多组学、高度多重光学成像的机器学习建模
免疫荧光和空间转录组数据集。我们将研究不同的免疫
癌症对 ICB 耐药的微环境:大脑的转移性定植,一种免疫-
癌细胞、星形胶质细胞和疾病相关的不同状态相互作用的特殊器官
小胶质细胞决定入侵模式(项目 I);和错配修复熟练的原发性结肠癌,其中
肿瘤存在于耐受性微环境中,并与复杂的细胞调节和调节回路相互作用。
传统 T 细胞,以及淋巴结和肝脏转移(项目 II)。我们还将开展
ICB 反应性黑色素瘤模型中癌细胞死亡机制的系统生物学研究
肾细胞癌,基于工程线粒体损伤依赖性但半胱天冬酶-
独立的细胞死亡可引发抗癌免疫并防止肿瘤再攻击(项目 III)。一个
共享资源核心将与所有三个研究项目互动,以开发计算方法和
建立肿瘤免疫微环境的空间分析技术。这些研究将推进
我们对 ICB 难治性微环境中的肿瘤免疫生态系统的基本了解
在 ICB 反应环境中对治疗诱导的免疫原性癌细胞死亡的免疫反应,
最终导致新的免疫治疗靶点和组合策略。我们的团队将在此基础上
我们之前为 MSKCC 癌症系统免疫学中心颁发的 CSBC U54 中心奖的成功,
它在系统生物学和癌症免疫学的前沿产生了许多高影响力的研究。我们的
研究中心还将开展创新的外展和培训活动,以传播研究成果
肿瘤免疫系统生物学领域的研究,并培训这一关键领域的年轻科学家。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
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Christina S Leslie其他文献
Christina S Leslie的其他文献
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{{ truncateString('Christina S Leslie', 18)}}的其他基金
The Center for Tumor-Immune Systems Biology at MSKCC
MSKCC 肿瘤免疫系统生物学中心
- 批准号:
10705726 - 财政年份:2022
- 资助金额:
$ 265.5万 - 项目类别:
Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation
破译自身免疫炎症中 T 细胞和成纤维细胞状态的基因网络调控的基因组学
- 批准号:
10472615 - 财政年份:2021
- 资助金额:
$ 265.5万 - 项目类别:
Systems biology of the tumor immune microenvironment
肿瘤免疫微环境的系统生物学
- 批准号:
10415307 - 财政年份:2021
- 资助金额:
$ 265.5万 - 项目类别:
Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation
破译自身免疫炎症中 T 细胞和成纤维细胞状态的基因网络调控的基因组学
- 批准号:
10621786 - 财政年份:2021
- 资助金额:
$ 265.5万 - 项目类别:
Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation
破译自身免疫炎症中 T 细胞和成纤维细胞状态的基因网络调控的基因组学
- 批准号:
10472615 - 财政年份:2021
- 资助金额:
$ 265.5万 - 项目类别:
Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation
破译自身免疫炎症中 T 细胞和成纤维细胞状态的基因网络调控的基因组学
- 批准号:
10305241 - 财政年份:2021
- 资助金额:
$ 265.5万 - 项目类别:
Encoding genomic architecture in the encyclopedia: linking DNA elements, chromatin state, and gene expression in 3D
编码百科全书中的基因组结构:以 3D 形式连接 DNA 元素、染色质状态和基因表达
- 批准号:
10241049 - 财政年份:2017
- 资助金额:
$ 265.5万 - 项目类别:
Encoding genomic architecture in the encyclopedia: linking DNA elements, chromatin state, and gene expression in 3D
编码百科全书中的基因组结构:以 3D 形式连接 DNA 元素、染色质状态和基因表达
- 批准号:
9247342 - 财政年份:2017
- 资助金额:
$ 265.5万 - 项目类别:
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