grant

Risk Factors and Prediction Modeling for Multiple Recurrences of Non-Muscle Invasive Bladder Cancer

Organization ALBERT EINSTEIN COLLEGE OF MEDICINELocation BRONX, UNITED STATESPosted 1 Jul 2025Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY2025Active Follow-upAddressAgeAlgorithmsBiological MarkersBladder CancerCaliforniaCancer CauseCancer EtiologyCancer PatientCancer TreatmentCancersCategoriesCessation of lifeCharacteristicsClinic VisitsClinicalClinical ManagementClinical PathologyClinical ResearchClinical StudyClinical TreatmentCohort StudiesConcurrent StudiesConnective TissueCountryDataDeathDemographic FactorsDevelopmentEligibilityEligibility DeterminationEnvironmental and Occupational ExposureEpidemiologyEthnic OriginEthnicityEventGoalsHealth Care CostsHealth Care SystemsHealth CostsHistoryLaboratoriesLife StyleLifestyleMalignant Bladder NeoplasmMalignant Neoplasm TherapyMalignant Neoplasm TreatmentMalignant NeoplasmsMalignant TumorMalignant Tumor of the BladderMalignant neoplasm of urinary bladderMucosaMucosal TissueMucous MembraneMuscleMuscle TissueNewly DiagnosedObesityOutcomePathologicPatientsPatternPerformancePopulationPopulation SizesPrecision careProbabilistic ModelsProbability ModelsProspective cohortProtocol ScreeningRaceRacesRecording of previous eventsRecurrenceRecurrentRecurrent Malignant NeoplasmRecurrent Malignant TumorRecurrent NeoplasmRecurrent tumorReportingResearch PriorityRiskRisk FactorsSample SizeSmoking StatusSourceSpeedStatistical MethodsStatistical ModelsSubmucosaSurvival RateSwedenTimeTumor PathologyUrinary Bladder CancerUrinary Bladder Malignant TumorVisitactive followupadiposityagesanti-cancer therapybio-markersbiologic markerbiomarkerburden of diseaseburden of illnesscancer diagnosiscancer invasivenesscancer recurrencecancer therapycancer-directed therapycigarette smokingcigarette useclinical interventionclinical riskclinical therapyco-morbidco-morbiditycohortcomorbiditycorpulencedevelopmentaldisease burdenepidemiologicepidemiologicalexperiencefollow upfollow-upfollowed upfollowuphigh riskhistoriesindividualized careindividualized patient careinsightlife-style factorlifestyle factorsmachine learned algorithmmachine learning algorithmmachine learning based algorithmmalemalignancymuscularneoplasm recurrenceneoplasm/cancernon-muscle invasive bladder cancernovelpatient populationpersonalized carepersonalized patient careprogramspublic health relevanceracialracial backgroundracial originrisk prediction algorithmrisk prediction modelrisk stratificationsexsocialsocial factorsstatistic methodsstatistical linear mixed modelsstatistical linear modelsstratify risktime intervaltrial regimentrial treatmenttumor
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Full Description

Project Summary / Abstract
Bladder cancer (BCa) is the sixth most diagnosed cancer in the US, and the 10th ranked cancer in the world

posing a significant disease burden worldwide. The well-established risk factors for BCa are increasing age,

male sex, race/ethnicity, cigarette smoking, obesity, and several environmental and occupational exposures.

Of the estimated 600,000 newly diagnosed BCa cases each year worldwide, 70% to 75% are non-muscle-

invasive bladder cancers (NMIBC), a genetically and clinically distinct entity from muscle invasive tumors.

Although NMIBC have an excellent five-year survival rate (>95%), their recurrence rates are remarkably high

(40%-70%), leading to repeated treatments and follow-up clinic visits of patients with substantial healthcare

costs. Several clinical studies have examined associations of clinical and pathological features of NMIBC with

risk of recurrence, but results have been inconsistent. To-date little is known about epidemiological and clinical

risk factors for multiple recurrences of NMIBC.

The aims of the proposed study are: i) to examine the associations of demographic, lifestyle and social factors,

tumor characteristics (e.g. stage, grade, tumor size), comorbidities and cancer treatments with risks of first

and multiple (e.g. 2, ≥3) NMIBC recurrences and ii) to develop and validate risk prediction models for multiple

recurrences. The goal is to better understand the contribution of various epidemiological, lifestyle, and clinical

risk factors that could be used to identify which NMIBC patients are at the highest risk for multiple recurrences.

We will use existing demographic, lifestyle, social, clinical and tumor pathology data, cancer treatments and

recurrence events collected from two large cohorts of NMIBC patients: the Be-Well Study (N=1,472) within

the Kaiser Permanente healthcare system in California, US, and the BladderBaSe cohort of 38,547 patients

from Sweden. About 30% to 40% of patients have experienced multiple recurrences of NMIBC in each cohort.

Additional outcome events will be accrued with extended follow-up of both cohorts through 12/31/2024.

Results of this study will provide important new insights on the associations of various epidemiological and

lifestyle risk factors, clinical and tumor pathological data with risk of multiple recurrence of NMIBC in different

populations. This is a clinical research priority and an important next step in the development of individualized

patients care, targeted surveillance and clinical management of patients with NMIBC.

Grant Number: 1R03CA292965-01A1
NIH Institute/Center: NIH

Principal Investigator: Ilir Agalliu

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