Biomarkers and mechanisms in cancer associated thrombosis
Biomarkers and mechanisms in cancer associated thrombosis
批准号:
10229377
负责人:
Elliot Chaikof
金额:
$87.47万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-01 至 2023-07-31
关键词:
Advanced Malignant NeoplasmBiological AssayBiological MarkersBlood coagulationCancer PatientCaregiversCellsCessation of lifeChemicalsClinicalClinical TrialsCoagulation ProcessColonCulture TechniquesDataDevelopmentDiagnosisEnrollmentEvaluationEventGenerationsGeneticGoalsHumanIn VitroIndividualIsomeraseKnowledgeLightLinkLungMalignant - descriptorMalignant NeoplasmsMalignant neoplasm of pancreasMediatingModelingModificationMolecularNatureNeoplasm MetastasisOrganoidsPancreasPancreatic DiseasesPancreatic Ductal AdenocarcinomaPathologicPathway interactionsPatientsPharmacologyPhasePhase II/III TrialPhenotypePhysiologicalPlasmaPlasma ProteinsPlatelet ActivationPredisposing FactorPrimary NeoplasmProductionProtein Disulfide IsomeraseProtein InhibitionProteinsProteomeProteomicsRecording of previous eventsRegimenResourcesRiskRoleSamplingSignal TransductionSignaling ProteinStomachSulfhydryl CompoundsTechnologyTestingThrombophiliaThromboplastinThrombosisThrombusTreatment-Related CancerTumor SubtypeTumor-DerivedValidationVariantVenousVesiclebiobankcancer biomarkerscancer complicationcancer typechemotherapeutic agentchemotherapyclinically significantcohortdisease registryendoplasmic reticulum stressexperimental studyin vivoinhibitor/antagonistleukocyte activationmolecular subtypesnext generationnovelpancreatic cancer patientspancreatic ductal adenocarcinoma cellpancreatic ductal adenocarcinoma modelpatient derived xenograft modelpredictive markerpredictive modelingpreventprophylacticresponsesmall molecule inhibitorthrombogenesisthrombotictraffickingtreatment strategytumortumor heterogeneitytumor progression
中文摘要
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英文摘要
Abstract
Thrombosis is a common and highly morbid complication of cancer. Tumor type is among the best currently
available predictors of cancer-associated thrombosis and pancreatic ductal adenocarcinoma (PDAC) is among
the most highly thrombogenic cancers. Our underlying premise is that factors elaborated by the tumor itself
drive thrombus formation in cancer. From this assertion arise specific hypotheses that form the basis of our
project. (1) Evaluation of plasma proteins from patients with cancer can accurately predict cancer-associated
thrombosis. To evaluate this hypothesis, we will perform a high throughput proteomic analysis of large cohorts
of cancer patients comparing plasma proteins in patients who subsequently develop clots compared to those
who remain clot free. This project utilizes novel proximity extension assay technologies. (2) If the tumor drives
clot formation in cancer, then the sporadic nature of cancer thrombosis could be explained by the
heterogeneity of tumors even within a single type of cancer. We predict that PDACs derived from different
patients will show variation in their ability to elaborate prothrombotic factors in keeping with their molecular
subclassification. To evaluate this prediction, we will use patient-derived organoids, which retain the genetic
and phenotypic signatures of the primary tumor in order to perform in-depth analysis of individual tumors
relative to prothrombotic potential in vitro and in vivo. (3) The fact that thrombosis is more common in
aggressive, advanced stage cancers indicates that tumor progression enhances the thrombogenicity of tumors.
We will evaluate this premise at the molecular level by testing the hypothesis that activation of the unfolded
protein response (UPR) contributes to thrombus formation in PDAC. Specifically, we will determine whether
UPR signaling in PDAC leads to the elaboration of prothrombotic factors such as pancreatic-specific protein
disulfide isomerase, tissue factor, and prothrombotic microparticles. These studies leverage the unique
resource of the BIDMC Pancreatic Disease Registry and Biorepository, which includes a >150 patient-derived
xenograft models. These PDAC models are fully curated with associated patient history, transciptome and
proteome data, and correlated plasma samples. The proposed studies are of substantial clinical significance,
since they will discover and validate biomarkers using large clinical cohorts with the goal of identifying which
patients will benefit most from aggressive thromboprophyhlaxis. These experiments will also enhance our
fundamental understanding of how pathways leading to cancer progression such as the UPR contribute to the
prothrombotic phenotype of PDAC. The utility of interfering with protein disulfide isomerase (PDI) as a
mechanistic link between cancer progression and thrombosis will be evaluated using samples from our phase
II/III trial of evaluating a small-molecule inhibitor of PDI activity in advanced cancer patients. Thus, these
studies have important and immediate implications for both basic knowledge and treatment of cancer-
associated thrombosis.
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