Identification of Melanoma Brain Metastasis Tumor Biomarkers

Information

  • Research Project
  • 8624670
  • ApplicationId
    8624670
  • Core Project Number
    R01CA167967
  • Full Project Number
    5R01CA167967-02
  • Serial Number
    167967
  • FOA Number
    PA-11-260
  • Sub Project Id
  • Project Start Date
    3/1/2013 - 11 years ago
  • Project End Date
    2/28/2018 - 6 years ago
  • Program Officer Name
    THURIN, MAGDALENA
  • Budget Start Date
    3/1/2014 - 10 years ago
  • Budget End Date
    2/28/2015 - 9 years ago
  • Fiscal Year
    2014
  • Support Year
    02
  • Suffix
  • Award Notice Date
    3/5/2014 - 10 years ago

Identification of Melanoma Brain Metastasis Tumor Biomarkers

DESCRIPTION (provided by applicant): Due to the escalating incidence rate of melanoma in the USA and its high frequency to metastasize to the brain, melanoma brain metastasis (MBM) poses an increasingly significant clinical problem. In the absence of predictive biomarkers for MBM, early recognition and effective management of MBM remain inadequate to the detriment of the nation's healthcare economy and patients' quality of life. We will identify genomic and epigenomic aberrations that are signatures of MBM. We will then develop and verify these molecular aberrations as predictive molecular MBM biomarker signature(s) of stage III and IV melanomas for high-risk of MBM occurrence. Our main hypothesis is that specific genomic and epigenomic biomarkers can be identified as signatures of MBM and utilized for stage III and early stage IV melanoma metastasis for MBM occurrence. The specific Aims are based on our strong preliminary studies on genomic and epigenomic aberrations identified in MBM. The Specific Aims are as follows: Aim I. Identify and develop a signature panel of MBM genomic biomarkers that can be used as predictive biomarkers in stage III and IV melanoma for MBM occurrence. Single-nucleotide polymorphism (SNP) will be used to identify copy number variations (CNV) for losses and gains as predictive biomarkers using customized quantitative PCR assays. Prioritized MBM genomic biomarkers will then be assessed as predictors of MBM occurrence. Aim II. Identify and develop a signature panel of epigenomic MBM biomarkers that can be used as predictive biomarkers in stage III and early stage IV for MBM occurrence. Methylation array and quantitative methylation-specific PCR assays have been used to screen and identify biomarker signatures of MBM. These predictive MBM epigenomic biomarkers will then be developed and analyzed by optimized quantitative methylation-specific PCR assays. Prioritized MBM epigenomic biomarkers will then be assessed as predictors of MBM occurrence. Aim III. Verify a MBM predictive signature(s) of genomic and/or epigenomic MBM biomarkers for stage III and IV metastasis. The optimal MBM biomarker signature panel identified in Aims I and II will be tested in patients with stage III and IV metastases, respectivey, for their ability to predict MBM occurrence using phase III multicenter clinical trial patients who have undergone surgical resection to be rendered disease-free. The studies will verify high-risk stage III and IV patients' melanoma subtypes developing into MBM, identification of new targets for therapy, and identification of MBM molecular signatures.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R01
  • Administering IC
    CA
  • Application Type
    5
  • Direct Cost Amount
    201275
  • Indirect Cost Amount
    169675
  • Total Cost
    370950
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    394
  • Ed Inst. Type
  • Funding ICs
    NCI:370950\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    CBSS
  • Study Section Name
    Cancer Biomarkers Study Section
  • Organization Name
    JOHN WAYNE CANCER INSTITUTE
  • Organization Department
  • Organization DUNS
    556074458
  • Organization City
    SANTA MONICA
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    904042312
  • Organization District
    UNITED STATES