grant

Biomarker Developmental Laboratory

Organization ARIZONA STATE UNIVERSITY-TEMPE CAMPUSLocation SCOTTSDALE, UNITED STATESPosted 1 Sept 2022Deadline 31 Aug 2027
NIHUS FederalResearch GrantFY2025Academic Medical CentersAntibodiesAntigensAssayAttentionAutoantibodiesBacterial AntigensBenignBioassayBiochemicalBiological AssayBiological MarkersBiopsyBlindedBlood TestsBostonBreastBreast CancerCA-125CA-125 AntigenCA125CAT scanCLIA accreditedCLIA approvedCLIA certifiedCLIA compliantCLIA licensedCT X RayCT XrayCT imagingCT scanCancer Antigen 125Cancer CenterCancer DetectionCancer PatientCancersCarbohydrate Antigen 125CategoriesCell BodyCellsCenter for Cancer ResearchClinicalCognitive DiscriminationCollaborationsCollectionComplementComplement ProteinsComputed TomographyCustomDetectionDevelopmentDiagnosisDiagnosticDiscriminationDiseaseDisorderEDRNELISAEarly Detection Research NetworkEchographyEchotomographyEngineeringEnsureEnzyme-Linked Immunosorbent AssayExclusionFungal AntigensGenesGermanGerman populationGlycoproteinsGoalsHematologic TestsHematological TestsHematology TestingHumanHuman GenomeImmuneImmune responseImmunesImmunologistImmunomodulationIndividualInfectionLaboratoriesLengthLungLung DiseasesLung Respiratory SystemLung noduleMalignantMalignant - descriptorMalignant Breast NeoplasmMalignant CellMalignant NeoplasmsMalignant Ovarian NeoplasmMalignant Ovarian TumorMalignant TumorMalignant Tumor of the LungMalignant Tumor of the OvaryMalignant neoplasm of lungMalignant neoplasm of ovaryMammogramMammographyMeasuresMedical UltrasoundMethodsMicrobeModern ManMorbidityMorbidity - disease rateMulti-center studiesMulticenter StudiesNCI Center for Cancer ResearchNational Detection Research NetworkNucleic AcidsOvary CancerPathogenesisPerformancePhasePlasmidsPlayPopulationPredictive ValueProtein ArrayProtein Array AnalysesProtein Array AnalysisProtein Array AssayProtein BiochipsProtein ChipsProtein GlycosylationProtein MicroarrayProtein MicrochipsProteinsProteomeProteomicsPulmonary CancerPulmonary DiseasesPulmonary DisorderPulmonary malignant NeoplasmReportingRoleSamplingScreening ResultScreening for Ovarian CancerScreening for cancerSerologySerum ProteinsSystemTarget PopulationsTechnologyTestingTimeTomodensitometryTransvaginal UltrasoundUltrasonic ImagingUltrasonogramUltrasonographyUltrasound DiagnosisUltrasound Medical ImagingUltrasound TestUniversitiesUniversity Medical CentersUnnecessary SurgeryValidationViral AntigensWomanWorkX-Ray CAT ScanX-Ray Computed TomographyX-Ray Computerized TomographyXray CAT scanXray Computed TomographyXray computerized tomographyanti-microbialantimicrobialautoimmune antibodyautoreactive antibodybio-markersbiologic markerbiomarkerbiomarker developmentbiomarker discoverybiomarker signaturebiomarker validationcancer biomarkerscancer cellcancer markerscandidate biomarkercandidate markercatscanchest CTchest computed tomographycirculating biomarkerscirculating markerscohortcomplementationcomputed axial tomographycomputer tomographycomputerized axial tomographycomputerized tomographycustomsdensitydepositorydevelopmentaldiagnostic assaydiagnostic ultrasounddisease of the lungdisorder of the lungearly cancer detectionenzyme linked immunoassayexperiencehost responsehuman whole genomeimage-based methodimaging methodimaging modalityimmune modulationimmune regulationimmune system responseimmunogenimmunogenicimmunologic reactivity controlimmunomodulatoryimmunoregulationimmunoregulatoryimmunoresponseimprovedinfection rateinnovateinnovationinnovativelung cancerlung disordermalignancymalignant breast tumormammographic Imagingmammographic examinationsmammographic examsmarker validationmicrobialmicroorganismmortalityneoplasm/cancernon-contrast CTnoncontrast CTnoncontrast computed tomographynovelovarian cancerovarian cancer detectionovarian cancer early detectionovarian cancer early screeningprotein biomarkersprotein markerspulmonary nodulerate of infectionrepositoryresponsescreeningscreening cancer patientsscreeningsself reactive antibodysocial rolesonogramsonographysound measurementsuccessultrasound imagingultrasound scanningvalidation studiesvalidationsvirus antigen
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Full Description

Project Summary/Abstract
Cancer screening can detect cancer early and reduce mortality. However, high false positive rates and low

sensitivities of lung (LC) and ovarian cancer (OC) screening result in unnecessary surgeries and missed

cancers. Our overarching goal is to develop circulating biochemical biomarkers that reduce the false positive

rate of the CT scan for LC and increase the positive predictive value of OC screening in combination with

CA125 and trans-vaginal ultrasound (TVUS). We hypothesize that LC and OC patients have different antibody

immune responses from subjects with benign diseases that can be explored for detecting cancer and excluding

non-cancer. We will take a systems approach working with 3 types of antibodies: autoantibodies, anti-microbial

antibodies and anti-aberrant glycoprotein antibodies. Our proposal builds on our extensive experience with

cancer biomarker discovery and immunoproteomics technology. Our previous results on autoantibody

biomarkers have been confirmed in blinded PRoBE phase 2 multicenter validation studies. Our results showed

that autoantibody biomarkers are highly specific for cancer; although, multiple autoantibodies are needed for

adequate predictive value. There is increased attention to the role microbes play in cancer vs. benign disease

development, which can be observed by different overall infection rates and / or immune responses to different

individual antigens from various microbes. Aberrant protein glycosylation is a hallmark of LC and OC, and we

will exploit our unique capability to display glycosylated proteins in high throughput. The successful

implementation of our study entails high throughput methods for assessing antibodies at the proteome level.

With EDRN support, we have developed a set of innovative immunoproteomics technologies, namely high-

density nucleic acid programmable protein array (HD-NAPPA), contra-capture protein array (CCPA) and

multiple in solution protein array (MISPA), that, combined with the largest full-length human and microbial gene

collection (DNASU plasmid repository), enable us to study antibodies against the full human proteome,

microbial proteomes and the human O-glycoproteome for antibody biomarker signatures in cancer. Our

previous success, Videssa® Breast, which is a CLIA-certified blood test for breast cancer used clinically with

mammography, includes a panel of both autoantibody markers and serum protein markers. As with Videssa®,

we will also use the Meso Scale Diagnostics (MSD) MultiArray platform to assess reported serum protein

markers for their utility to complement our antibody markers for LC and OC. We will collaborate with experts on

LC and OC screening at Vanderbilt University Medical Center, Boston University, MD Anderson Cancer

Center, and German Cancer Research Center, who will also provide access to high quality well-characterized

samples from our target populations. We will perform Phase I (PRoBE) discovery by screening protein arrays

with cancer and control sera for cancer- or control-specific antibodies. Candidate biomarkers for both LC and

OC will be Phase 2-validated using ELISA or MISPA assays.

Grant Number: 5U2CCA271903-04
NIH Institute/Center: NIH

Principal Investigator: Karen Anderson

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