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The role of extracellular matrix quality in the prediction of metastasis-induced skeletal fragility and response to immunotherapy

The role of extracellular matrix quality in the prediction of metastasis-induced skeletal fragility and response to immunotherapy
细胞外基质质量在预测转移引起的骨骼脆性和免疫治疗反应中的作用
批准号:
10742484
负责人:
Stacyann R Bailey
金额:
$39.26万
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:
2023-09-18 至 2025-08-31
关键词:
AddressAdjuvantAdverse eventAffectAnimalsArchitectureAttenuatedBindingBiological MarkersBone DiseasesBone MarrowBone MatrixBone ResorptionBone TissueBone remodelingCD8-Positive T-LymphocytesCadaverCellsCollagen Type ICompetenceComplicationCompression FractureCustomDevelopmentExtracellular MatrixExtracellular Matrix ProteinsFLT3 ligandFailureFlow CytometryFractureGelatinase BGene ExpressionHeterogeneityHumanImageImmuneImmune checkpoint inhibitorImmunoassayImmunologic MarkersImmunotherapyInterferon Type IIInterleukin-1Interleukin-10Interleukin-6KnowledgeLesionLigandsLinear RegressionsLogistic RegressionsMalignant NeoplasmsMalignant neoplasm of prostateMass Spectrum AnalysisMatrix MetalloproteinasesMeasurementMeasuresMechanicsMediatingMetastasis InductionMetastatic Neoplasm to the BoneMetastatic Prostate CancerModelingModificationMolecularMusMyeloid-derived suppressor cellsNF-kappa BNeoplasm MetastasisOncologyOsteoblastsOsteocalcinOsteoclastsOsteolysisOsteolyticPathogenesisPathological fracturePatientsPeptidesPolymerase Chain ReactionPopulationPost-Translational Protein ProcessingPrimary NeoplasmProductionProteomicsRegulatory T-LymphocyteReportingResistanceRiskRisk ReductionRoleSamplingSignal TransductionSolidT-Cell ActivationT-LymphocyteTNF geneTestingTimeTrainingTransforming Growth Factor betaValidationVertebral Boneanti-PD-1anti-PD1 therapyanti-cancerbonebone fragilitybone lossbone preservationbone sialoproteinbone strengthcancer therapycathepsin Kcheckpoint inhibitionclinical imagingcollagenase 3crosslinkcytokineefficacy evaluationimaging modalityimmune checkpointimprovedin vivolumbar vertebra bone structuremalemechanical propertiesmineralizationmouse modelneoplastic cellosteoclastogenesisosteopontinprecision medicinepredictive markerpreventprognostic signatureprogrammed cell death ligand 1programmed cell death protein 1prostate cancer cellprostate cancer modelreceptorresponseskeletalspine bone structuresubstantia spongiosatreatment responsetumor

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Metastatic bone disease (MBD) is a frequent and fatal complication in patients with advanced solid malignancies. Immune checkpoint inhibitors (ICIs) such as programmed cell death protein-1 (PD-1) have revolutionized cancer therapy over the past decade; however, the positive impact of ICIs in MBD is attenuated due to some immune- related skeletal adverse events (irSAEs), including the formation of new bone lesions, increased bone resorption, and vertebral compression fractures. The dynamic and multidirectional interactions between bone, immune, and tumor cells (osteoimmuno-oncology, OIO) can alter bone extracellular matrix (ECM) quality, influence bone mechanical integrity, and affect response to therapy, but OIO is currently underexamined in MBD. Receptor activator of nuclear factor kappa-β (RANK) and its ligand (RANKL) may be considered as key orchestrators of OIO yet their role in the setting of ICIs remain unexplored. Metastatic prostate cancer (PCa) cells, bone-forming osteoblasts, and activated T-cells trigger osteolysis independently by producing RANKL which binds to RANK on bone-resorbing osteoclasts (OCs). We hypothesize that modulation of RANK/RANKL and PD-1 signaling in OIO may support T-cell activation while inhibiting osteoclastic activity, thereby decreasing risk for worsening bone ECM quality and mechanical integrity and produce synergistic anticancer efficacy. Thus, we will (1) Characterize the expression of OIO-related ECM biomarkers in metastatic human bone and develop a prognostic signature of bone fragility; and (2) Evaluate the effects of combined RANKL and PD-1 blockade on bone ECM quality, mechanical integrity, and anti-cancer efficacy in mouse models of PCa bone metastases (BM). Cadaveric human trabecular bone cores from the lumbar vertebrae containing osteolytic, osteosclerotic, and mixed metastatic lesions will be compressed to failure for measurements of bone mechanical properties. Based on the distribution of the failure loads of the lesions, an appropriate threshold will be selected to create a binary measure of bone fragility. OIO-related bone ECM biomarkers and their posttranslational modifications will be extracted from each lesion. Using mixed effects multinomial logistic regression models a minimum set of biomarkers that predict bone fragility will be obtained. We will further validate these OIO-based biomarkers in distinct models of osteolytic and osteosclerotic PCa BM and assess the efficacy of anti-RANKL in mitigating bone fragility in the setting of anti-PD1 therapy. The results of this study will extend the current understanding of the effects of metastases and its treatment on bone matrix quality and mechanical integrity. OIO-related ECM markers that regulate lesion heterogeneity and predict fragility will provide new molecular information of functional relevance that can drive translational efforts. Moreover, the mechanisms of immune-mediated bone remodeling and mitigation of bone fragility by combined blockade of RANKL and PD-1 can aid in risk-adapted selection for ongoing and subsequent therapies.
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