0 Evaluaciones

ID

45641

Descripción

Principal Investigator: Irene M. Ghobrial, Dana Farber Cancer Institute, Boston, MA, USA MeSH: Multiple Myeloma,Monoclonal Gammopathy of Undetermined Significance https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001323 Multiple Myeloma (MM) is a plasma cell dyscrasia characterized by bone marrow (BM) infiltration and lytic bone lesions. Recent studies of massive parallel sequencing of tumor cells obtained from the BM of patients with MM have demonstrated significant clonal heterogeneity in MM. Despite this remarkable clonal heterogeneity, it could be envisioned that such clonal diversity may be even higher since single BM samples only represent a small fraction of the whole BM compartment, and the pattern of BM infiltration in MM is typically patchy. In addition, BM biopsies are painful and cannot be repeated multiple times during the course of therapy, indicating a need for less invasive methods to molecularly characterize MM patients and monitor disease progression during the therapy. Thus, optimal characterization of circulating tumor cells (CTCs) may represent a non-invasive method to capture relevant mutations present in PC clones. In addition, MM almost always progresses from precursor states of monoclonal gammopathy of undetermined significance (MGUS)/smoldering multiple myeloma (SMM) to overt MM. However, some patients rapidly progress from MGUS/SMM to overt MM (progressors) with a rate of progression of up to 70% over 5 years, while others remain indolent with minimal progression over the same time period (non-progressors). Although many patients are diagnosed with earlier phases of disease, most patients do not receive treatment until their disease progresses, at which time they have overt end-organ damage. This concept of initiating therapy at the time of symptomatic disease is analogous to initiating therapy in patients with solid tumors only after the development of measurable metastatic disease. It is therefore not surprising that cure is not achieved for most patients with MM. Interestingly, studies have demonstrated that MGUS/SMM clones may already harbor chromosomal alterations (Ig loci or hyperdiploidy) and that progression to MM is mainly due to expansion of clones that were already present in the early stages of MGUS/SMM. However, the biological factors that discriminate progressors from non-progressors in MGUS/SMM are not well known. Therefore, our overarching hypothesis is that an effective therapeutic intervention will result from defining genomic and transcriptomic markers that are associated with disease progression. We believe, therefore, that focused research studies that define molecular mechanisms of clonal evolution in MGUS/SMM/MM will identify novel biomarkers of disease progression and help develop therapeutic agents that prevent or delay progression from MGUS to overt MM. Indeed, by eradicating the disease at the precursor stages, MM may become a preventable disease. Recently, a new term called Clonal Hematopoiesis of Indeterminate Potential (CHIP) has been proposed to describe asymptomatic individuals with hematologic malignancy-associated somatic mutations. Those individuals do not fulfill any diagnostic criteria for any hematological malignancy yet they have a tendency to progress into myelodysplastic syndrome (MDS) or myeloid or lymphoid neoplasia at a rate of around 0.5-1% per year, similar to MGUS. The frequency of CHIP and role of HSCs mutations in enhancing acquisition of somatic mutations in MM plasma cells, allowing progression following treatment, has not been studied. Investigating the dysregulated pathways in early progenitor cells would allow us to understand the reasons of progression and establish novel therapeutic and potentially preventive strategies. This study dissects genomic and transcriptomic characteristics of clonal evolution from MGUS/SMM to MM as well as the characteristics of the tumor microenvironment/immune cells/peripheral blood. Our hypothesis is that molecular biomarkers will be strong predictors of progression from MGUS/SMM to MM and will allow for the development of novel therapeutic agents that prevent or delay this progression. We aim to define genomic and transcriptomic markers that lead to progression from MGUS/SMM to MM in tumor cells, blood biopsies (cell free DNA and circulating tumor cells), and the tumor microenvironment.

Link

dbGaP-study=phs001323

Palabras clave

  1. 13/3/23 13/3/23 - Chiara Middel
Titular de derechos de autor

Irene M. Ghobrial, Dana Farber Cancer Institute, Boston, MA, USA

Subido en

13 de marzo de 2023

DOI

Para solicitar uno, por favor iniciar sesión.

Licencia

Creative Commons BY 4.0

Comentarios del modelo :

Puede comentar sobre el modelo de datos aquí. A través de las burbujas de diálogo en los grupos de elementos y elementos, puede agregar comentarios específicos.

Comentarios de grupo de elementos para :

Comentarios del elemento para :


    Sin comentarios

    Para descargar modelos de datos, debe haber iniciado sesión. Por favor iniciar sesión o Registrate gratis.

    dbGaP phs001323 Multiple Myeloma Genomic Study (MMGS)

    This subject phenotypes data table includes subject's sex, race, and affection status for any stage of multiple myeloma (MM) progression.

    pht010116
    Descripción

    pht010116

    Alias
    UMLS CUI [1,1]
    C3846158 (Other Coding)
    LOINC
    LA4728-7
    Subject ID
    Descripción

    SUBJECT_ID

    Tipo de datos

    string

    Alias
    UMLS CUI [1,1]
    C2348585 (Clinical Trial Subject Unique Identifier)
    Case control status of the subject for any stage of MM progression
    Descripción

    AFFECTION_STATUS

    Tipo de datos

    text

    Alias
    UMLS CUI [1,1]
    C3274646 (Participant Case or Control Status)
    Self-reported sex
    Descripción

    SEX

    Tipo de datos

    text

    Alias
    UMLS CUI [1,1]
    C0079399 (Gender)
    SNOMED
    263495000
    LOINC
    LP61312-2
    UMLS CUI [1,2]
    C2700446 (Self-Report)
    SNOMED
    456801000124104
    Race
    Descripción

    RACE

    Tipo de datos

    text

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

    Similar models

    This subject phenotypes data table includes subject's sex, race, and affection status for any stage of multiple myeloma (MM) progression.

    Name
    Tipo
    Description | Question | Decode (Coded Value)
    Tipo de datos
    Alias
    Item Group
    pht010116
    C3846158 (UMLS CUI [1,1])
    SUBJECT_ID
    Item
    Subject ID
    string
    C2348585 (UMLS CUI [1,1])
    Item
    Case control status of the subject for any stage of MM progression
    text
    C3274646 (UMLS CUI [1,1])
    Code List
    Case control status of the subject for any stage of MM progression
    CL Item
    Control (1)
    C3274648 (UMLS CUI [1,1])
    CL Item
    Case (2)
    C3274647 (UMLS CUI [1,1])
    CL Item
    Other (3)
    Item
    Self-reported sex
    text
    C0079399 (UMLS CUI [1,1])
    C2700446 (UMLS CUI [1,2])
    Code List
    Self-reported sex
    CL Item
    Male (1)
    C0086582 (UMLS CUI [1,1])
    CL Item
    Female (2)
    C0086287 (UMLS CUI [1,1])
    CL Item
    Unknown (UNK)
    Item
    Race
    text
    C0034510 (UMLS CUI [1,1])
    Code List
    Race
    CL Item
    White (1)
    CL Item
    African American (2)
    CL Item
    Hispanic (3)
    CL Item
    Asian (4)
    CL Item
    Indian (5)
    CL Item
    Other (6)
    CL Item
    Not available (7)

    Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

    Watch Tutorial