Tumor and immune determinants of effective anti-tumor immunity in renal cell carcinoma
Tumor and immune determinants of effective anti-tumor immunity in renal cell carcinoma
批准号:
10638907
负责人:
David Braun
金额:
$65.68万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-14 至 2028-06-30
关键词:
9p21.3AddressAdvanced Malignant NeoplasmApoptosisCD8-Positive T-LymphocytesCell CommunicationCell physiologyCellsCessation of lifeChromosome DeletionClear cell renal cell carcinomaClinicalCollaborationsCryopreservationDataDetectionDiseaseFlow CytometryFrequenciesGene MutationGeneticGenetic TranscriptionGenomicsImmuneImmune checkpoint inhibitorImmune responseImmunofluorescence ImmunologicImmunogenomicsImmunotherapeutic agentIn SituKnowledgeMacrophageMediatingMediatorMedicineMethodsModelingMutationNatureNeoplasm MetastasisPD-1 pathwayPatientsPhenotypePopulationPrimary NeoplasmProductionPrognosisProliferatingPublic HealthRecurrenceRenal Cell CarcinomaRenal carcinomaResistanceRoleSolid NeoplasmSpecimenStatistical ModelsStromal CellsT cell infiltrationT-LymphocyteTherapeutically TargetableTumor BurdenTumor ImmunityUnited StatesValidationWorkadvanced diseasecancer cellcancer infiltrating T cellsclinical translationcohortcytokineexhaustexome sequencinggenomic datahigh dimensionalityimmune cell infiltrateimmunogenicimmunoregulationimmunosuppressive macrophagesindustry partnerneoantigensnew therapeutic targetpharmacologicresponsesingle-cell RNA sequencingtherapy resistanttranscriptome sequencingtranscriptomicstreatment responsetumortumor microenvironmenttumor-immune system interactions
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PROJECT SUMMARY
Immune checkpoint inhibitors (ICIs) targeting the PD-1 pathway have transformed the management of many
advanced cancers, including renal cell carcinoma (RCC), but most patients do not receive durable benefit from
these treatments. Whereas many efforts to understand ICI response and resistance in other tumor types have
often focused on investigating the role of total mutation burden (and consequent neoantigen load) or total T cell
infiltration in the tumor microenvironment (i.e. “hot” vs. “cold” tumors), RCC is biologically distinct from other
immunogenic solid tumors. In contrast to other solid tumors, the total mutation burden does not correlate with
response to ICI in RCC. Further, despite its relatively modest tumor mutational load, RCC stands out as one of
the most highly CD8+ T cell-infiltrated solid tumors at baseline, but the degree of CD8+ T cell infiltration into the
tumor-immune microenvironment (TME) does not associate with ICI response. These observations highlight the
gaps in our knowledge of the somatic alterations and infiltrating immune cell composition, phenotypic states, and
cellular interactions that mediate an effective immune response against RCC in the context of ICI. Thus, there is
a critical need to better understand the disease-specific mechanisms of response and resistance to current ICI-
based therapies in RCC, which may also uncover the general principles of how a modest mutation burden tumor
like RCC can be immunogenic. Prior smaller-scale analyses in RCC identified tumor-intrinsic somatic alterations
that impact ICI response in RCC, and co-occurring and interacting immune populations (terminally exhausted
CD8+ T cells and immunosuppressive macrophages) that are enriched in advanced disease. We therefore
hypothesize that somatic alterations and the TME interact to explain the unique immune landscape of RCC and
modulate response to ICI. By leveraging our expertise in immunogenomic analysis and our close collaborations
with academic and industry partners, we are now uniquely poised to address this hypothesis. In Aim 1, we seek
to systematically define the recurrent somatic alterations that impact immune infiltration and therapeutic
response through the interrogation of large-scale genomic data (whole exome sequencing and bulk RNA-
sequencing) from over 2,800 RCC tumors (including over 1,500 RCC tumors treated with ICI). In Aim 2, we strive
to uncover the cell composition and cellular interactions within the TME that mediate response to ICI through
large-scale single-cell transcriptomic analysis of 96 pre-treatment RCC tumor specimens (including 75 tumors
subsequently treated with ICI). We aim to validate inferred interactions using advanced spatial phenotyping
methods and through functional interrogation using an ex vivo patient-derived tumor fragment model. Overall,
this work will identify genetic and immune determinants of effective ICI-mediated anti-tumor immunity in RCC,
and will nominate specific therapeutically targetable immune inhibitory interactions in the TME for clinical
translation for patients with RCC (and potentially other low and intermediate mutation burden tumors).
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