Developing predictive biomarkers in metastatic breast cancer using LiquidBiopsy

Information

  • Research Project
  • 8742626
  • ApplicationId
    8742626
  • Core Project Number
    N44CO000000
  • Full Project Number
    261201300073C-0-0-1
  • Serial Number
  • FOA Number
  • Sub Project Id
  • Project Start Date
    9/20/2013 - 10 years ago
  • Project End Date
    9/19/2015 - 8 years ago
  • Program Officer Name
  • Budget Start Date
    -
  • Budget End Date
    -
  • Fiscal Year
    2013
  • Support Year
  • Suffix
  • Award Notice Date
    -
Organizations

Developing predictive biomarkers in metastatic breast cancer using LiquidBiopsy

Circulating tumor cells are cells recovered from a simple blood draw that reflect the molecular pathology of cancer, may constitute the seeds for metastases, and represent an analyte to longitudinally measure and direct clinical decisions in cancer patients. The LiquidBiopsy platform and protocols support high throughput recovery and the specificity to support direct targeted resequencing. The platform will be evaluated with metastatic breast cancer patients by determining whether the legacy marker Epcam or an expanded cocktail recover more mutation bearing CTC. The patient cohort will then be extended to analyze CTC mutation profiles using a 50 oncogene hotspot panel at baseline and progression. These profiles will be compared to germline and tissue biopsy sequence to evaluate the molecular relationship between CTC and tissue biopsy and the predictive capability of CTC derived mutational information. The validated process and instrumentation can recover mutational information from blood samples of metastatic breast cancer patients. By examining a cohort of 60 patients with metastatic disease, the study is powered to determine whether CTC mutations are predictive of disease progression. The LiquidBiopsy platform represents an innovative methodology that supports clinical access to genetic information from CTC supporting this first example of a CTC-based diagnostic tool.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    N44
  • Administering IC
    CA
  • Application Type
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    997908
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    394
  • Ed Inst. Type
  • Funding ICs
    NCI:997908\
  • Funding Mechanism
    SBIR/STTR Contracts
  • Study Section
  • Study Section Name
  • Organization Name
    CYNVENIO BIOSYSTEMS, INC.
  • Organization Department
  • Organization DUNS
    827484655
  • Organization City
    WESTLAKE VILLAGE
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    913612407
  • Organization District
    UNITED STATES