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ID

45583

Beschreibung

Principal Investigator: Arul Chinnaiyan, MD PhD, Michigan Center for Translational Pathology, University of Michigan, MI, USA MeSH: Neoplasms,Breast Neoplasms,Sarcoma,Prostatic Neoplasms,Aromatase Inhibitors,Hematologic Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000673 Overview. The personalization of therapy for cancer will require molecular characterization of unique and shared genetic aberrations. In particular, patients who have a sarcoma or other rare cancers and are candidates for clinical trials could potentially benefit by identifying eligibility for "targeted" drugs based on the "actionable" genes in their specific tumor. Growing technological advances in genomic sequencing has now made it possible to consider the use of sequence data in a clinical setting. For instance, comprehensive testing that includes whole exome and transcriptome sequencing may identify biomarkers for predictive or prognostic purposes and thereby inform treatment choices and prevention strategies. Thus, the translation of high throughput next generation sequencing would support a "personalized" strategy for cancer. However, the translation of clinical sequencing bears unique challenges including identifying patients who could benefit, developing informed consent and human subjects protections, outlining measurable outcomes, interpreting what results should be reported and validated, and how results should be reported. In addition, we know very little about how patients and clinicians will respond to the potentially confusing and overwhelming amount of information generated by genomic sequencing, and we lack model processes for clinically evaluating and presenting these data. For the promise of our innovative biotechnologies to be realized, "translational genomics" research that evaluates genomic applications within real-world clinical settings will be required. This proposal brings together expertise at the University of Michigan including clinical oncology, cancer genetics, genomic science/bioinformatics, clinical pathology, social and behavioral sciences, and bioethics in order to implement this clinical cancer sequencing project. Three integrated Projects have the following themes: Project 1) "Clinical Genomic Study" will identify patients with a rare cancer (i.e., 15 out of 100,000 individuals per year) who are eligible for clinical trials, consent them to the study, obtain biospecimens (tumor tissue, germline tissue), store clinical data, and assemble a multi-disciplinary Sequencing Tumor Board to deliberate on return of actionable or incidental genomic results; Project 2) "Sequencing & Analysis" will process biospecimens and perform comprehensive sequencing and analysis of tumors to identify point mutations, copy number changes, rearrangements/gene fusions, and aberrant gene expression; Project 3) "Ethics & Psychosocial Analysis" will observe the expert review process for evaluating sequence results and will examine the clinician and patient response to the informed consent process, delivery of genomic sequence results, and use of genomic results.

Link

dbGaP-study=phs000673

Stichworte

  1. 25.01.23 25.01.23 - Chiara Middel
Rechteinhaber

Arul Chinnaiyan, MD PhD, Michigan Center for Translational Pathology, University of Michigan, MI, USA

Hochgeladen am

25. Januar 2023

DOI

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Lizenz

Creative Commons BY 4.0

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    dbGaP phs000673 University of Michigan Clinical Sequencing Exploratory Research (CSER)

    Subject ID, age, gender, and race of participants with sarcoma or other rare types of cancer and involved in the "University of Michigan Clinical Sequencing Exploratory Research (CSER)" project.

    pht003662
    Beschreibung

    pht003662

    Alias
    UMLS CUI [1,1]
    C3846158 (Other Coding)
    LOINC
    LA4728-7
    De-identified subject ID
    Beschreibung

    Collected in Exam 1

    Datentyp

    string

    Alias
    UMLS CUI [1,1]
    C4684638 (De-identified Information)
    UMLS CUI [1,2]
    C2348585 (Clinical Trial Subject Unique Identifier)
    Gender of participant
    Beschreibung

    Collected in Exam 1

    Datentyp

    string

    Alias
    UMLS CUI [1,1]
    C0079399 (Gender)
    SNOMED
    263495000
    LOINC
    LP61312-2
    Age
    Beschreibung

    Collected in Exam 1

    Datentyp

    text

    Maßeinheiten
    • Years
    Alias
    UMLS CUI [1,1]
    C0001779 (Age)
    SNOMED
    424144002
    LOINC
    LP28815-6
    Years
    Race of participant [African American, Asian, Caucasian, Hispanic, Non-Hispanic, Other, UNKNOWN]
    Beschreibung

    Collected in Exam 1

    Datentyp

    string

    Alias
    UMLS CUI [1,1]
    C0034510 (Racial group)
    SNOMED
    415229000
    LOINC
    LP7528-5

    Ähnliche Modelle

    Subject ID, age, gender, and race of participants with sarcoma or other rare types of cancer and involved in the "University of Michigan Clinical Sequencing Exploratory Research (CSER)" project.

    Name
    Typ
    Description | Question | Decode (Coded Value)
    Datentyp
    Alias
    Item Group
    pht003662
    C3846158 (UMLS CUI [1,1])
    SUBJECT_ID
    Item
    De-identified subject ID
    string
    C4684638 (UMLS CUI [1,1])
    C2348585 (UMLS CUI [1,2])
    Item
    Gender of participant
    string
    C0079399 (UMLS CUI [1,1])
    Code List
    Gender of participant
    CL Item
    Female (F)
    C0086287 (UMLS CUI [1,1])
    CL Item
    Male (M)
    C0086582 (UMLS CUI [1,1])
    Age
    Item
    Age
    text
    C0001779 (UMLS CUI [1,1])
    Race
    Item
    Race of participant [African American, Asian, Caucasian, Hispanic, Non-Hispanic, Other, UNKNOWN]
    string
    C0034510 (UMLS CUI [1,1])

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