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<docDscr>
  <citation>
    <titlStmt>
      <titl>A COhort to study BLAdder CancEr</titl>
      <IDNo>FRESH-PEF3096-en</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)" role="">Maryam KARIMI</producer>
    </prodStmt>
    <verStmt>
      <version></version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>
                A COhort to study BLAdder CancEr            </titl>
      <altTitl>
                    COBLAnCE                </altTitl>
      <IDNo agency="FReSH-lang">
                FRESH-PEF3096-en            </IDNo>
      <IDNo agency="PEF">
                    3096                </IDNo>
      <IDNo agency="FReSH">
                    FRESH-PEF3096                </IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty>
                    Maryam KARIMI                                                                                                                            </AuthEnty>
      <AuthEnty affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)">
        <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
        <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
      </AuthEnty>
      <othId affiliation="" type="">
                                    </othId>
    </rspStmt>
    <prodStmt>
      <producer role="sponsor">
                                            INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)                    
                                    </producer>
      <prodPlac>
                Epidemiology France Portal (PEF)            </prodPlac>
      <fundAg>
                                            AGENCE NATIONALE DE LA RECHERCHE (ANR)                    
                                    </fundAg>
    </prodStmt>
    <distStmt>
      <distrbtr abbr="null">
                    null</distrbtr>
      <contact affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)" email="karine.groussard@inserm.fr">
                    Karine;GROUSSARD
                                            <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
                                    </contact>
      <contact affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)" email="maryam.karimi@gustaveroussy.fr">
                    Maryam;KARIMI
                                            <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
                                    </contact>
      <depDate date="2026-06-16"/>
      <distDate date="2026-06-16"/>
    </distStmt>
    <biblCit format="">
            </biblCit>
    <holdings URI="null"/>
    <notes> </notes>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">
                    Bladder cancer</keyword>
      <keyword vocab="" vocabURI="">
                    urology</keyword>
      <keyword vocab="" vocabURI="">
                    cancer research</keyword>
      <keyword vocab="" vocabURI="">
                    cohort</keyword>
      <topcClas vocab="health theme">
                        Oncology                                                        <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/5784b7f1-c7ce-49d9-9f38-aebcda0ff41d"/>
                                                            <ExtLink title="MeSH" URI="http://id.nlm.nih.gov/mesh/D008495"/>
                                                </topcClas>
      <topcClas vocab="cim-11">
                        Diseases of the genitourinary system                                            </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants: Addiction                    </topcClas>
      <topcClas vocab="health determinant">
                        Biological determinants: Genetic predisposition                    </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants: Eating habits                    </topcClas>
      <topcClas vocab="health determinant">
                        Healthcare system determinants: Use of care                    </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants: Employment                    </topcClas>
      <topcClas vocab="health determinant">
                        Biological determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Healthcare system determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants                    </topcClas>
    </subject>
    <abstract contentType="purpose">1) To test the association between constitutional DNA polymorphism, environmental parameters, molecular subtype and clinical data. The inclusion of features of both the tumour and the host will facilitate the discovery of tumourigenesis mechanisms, drugable targets and diagnostic and prognostic biomarkers. 2) To provide insight into the tumour progression knowledge and to help to identify biomarkers by the sequential sampling of recurrent tumors, plasma or urine from individual patients during follow_up. 3) To validate and extend our prior results regarding the molecular subtyping of bladder cancer on a large series of tumors collected prospectively. 4) To facilitate the transfer of study results into clinical practice thanks to the size and bladder cancer representativeness of the cohort. 5) To describe treatment patterns and to assess the direct and indirect costs of bladder cancer. The cost variability will be analyzed to identify the determinants of cost. This evaluation will pave the way for cost-benefit analyses of new biomarkers developed by the consortium. 6) To structure, at the national level, an interdisciplinary bladder cancer network including epidempiologists, bioinformaticians, health economists, molecular biologists, occupational physicians, pathologists and urologists, for coordinated and synergistic research actions and to make a significant contribution to a European multinational cohort and support international studies in genomics, in particular.</abstract>
    <abstract contentType="abstract">null</abstract>
    <sumDscr>
      <collDate event="start" date="2012-01-01"/>
      <collDate event="end" date="2024-01-01"/>
      <nation abbr="fr">
                    France
                                            <concept vocab="ISO" vocabURI="fr"/>
                                    </nation>
      <geogUnit/>
      <anlyUnit>
                Individuals            </anlyUnit>
      <universe level="type" clusion="I">Patients population                    </universe>
      <universe level="sex" clusion="I">Male                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008297"/>
                                                    </universe>
      <universe level="sex" clusion="I">Female                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D005260"/>
                                                    </universe>
      <universe level="age" clusion="I">Young Adult (19 to 24 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D055815"/>
                                                    </universe>
      <universe level="age" clusion="I">Adult (25 to 44 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000328"/>
                                                    </universe>
      <universe level="age" clusion="I">Middle Aged (45 to 64 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008875"/>
                                                    </universe>
      <universe level="age" clusion="I">Aged (65 to 79 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000368"/>
                                                    </universe>
      <universe level="age" clusion="I">Aged, 80 and over (80 years and more)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000369"/>
                                                    </universe>
      <universe clusion="I">Inclusion as soon as possible after diagnosis of bladder cancer in the 17 participating hospitals                    </universe>
      <dataKind>Clinical data</dataKind>
      <dataKind>Participant-reported health data</dataKind>
      <dataKind>Biological data</dataKind>
      <dataKind>Socio-demographic data</dataKind>
    </sumDscr>
  </stdyInfo>
  <studyDevelopment>
    <developmentActivity type="primary evaluation">
      <description>Health event/mortality
Health care consumption and services
Quality of life/health perception
Others</description>
    </developmentActivity>
  </studyDevelopment>
  <method>
    <dataColl>
      <sampProc>Other                                                            <concept vocab="CESSDA" vocabURI="Other"/>
                                                    </sampProc>
      <sampleFrame>
        <frameUnit>
          <unitType>Through organizations (health services or institutions</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>schools</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>businesses</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>etc.)</unitType>
        </frameUnit>
      </sampleFrame>
      <targetSampleSize>
        <sampleSizeFormula>[1000-10000[ individuals                        </sampleSizeFormula>
      </targetSampleSize>
      <collMode>Self-administered questionnaire                                                            <concept vocab="CESSDA" vocabURI="SelfAdministeredQuestionnaire"/>
                                                    </collMode>
      <sources>
        <sources>
          <sourceCitation>
                                    
                                    
                                                                    </sourceCitation>
          <srcOrig>Medico-administrative database</srcOrig>
        </sources>
      </sources>
    </dataColl>
    <notes>Observational Study</notes>
    <notes subject="research type">
                        Observational Study                    </notes>
    <notes subject="observational study method">
                        Cohort study                    </notes>
    <anlyInfo>
      <respRate>2000 patients</respRate>
    </anlyInfo>
    <stdyClas>Unknown</stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <avlStatus>
                            Restricted access                                                    </avlStatus>
    </setAvail>
  </dataAccs>
  <othrStdyMat>
    <relMat>Access on specific project only</relMat>
  </othrStdyMat>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
