Quantitative RT-PCR: Prediction Lymphoma Transformation

Information

  • Research Project
  • 6884253
  • ApplicationId
    6884253
  • Core Project Number
    R42CA113212
  • Full Project Number
    1R42CA113212-01
  • Serial Number
    113212
  • FOA Number
    PA-03-13
  • Sub Project Id
  • Project Start Date
    3/1/2005 - 19 years ago
  • Project End Date
    9/1/2006 - 18 years ago
  • Program Officer Name
    JACOBSON, JAMES W.
  • Budget Start Date
    3/1/2005 - 19 years ago
  • Budget End Date
    9/1/2006 - 18 years ago
  • Fiscal Year
    2005
  • Support Year
    1
  • Suffix
  • Award Notice Date
    2/24/2005 - 19 years ago
Organizations

Quantitative RT-PCR: Prediction Lymphoma Transformation

DESCRIPTION (provided by applicant): Completion of the human genome and the advent of expression profiling have permitted comprehensive characterization of the transcriptional signatures of different disease states. Quantitative fluorescent real-time polymerase chain reaction-based methods have emerged as a powerful tool in molecular diagnostics as they combine extraordinary dynamic range of quantification and superior specificity. Despite the remarkable advances in real-time fluorescence quantification techniques, this technique has yet to gain widespread application in the analysis of gene expression fixed paraffin-embedded tissues, which is the most common way in which biopsy material is archived. In the R41 phase of this fast-track application, we will establish the utility of a simple approach to the performance of quantitative RT-PCR on RNA derived from formalin-fixed paraffinembedded tissue. The technique is advantageous in that it is simple and compatible with the design of PCR for short amplicons, without compromising target specificity. By the end of the R41 phase of this project, we would have established the feasibility, reproducibility and robustness of our quantitative real-time RT-PCR approach on RNA derived from formalin-fixed paraffin embedded tissue material. These studies will serve as the foundation for the gene expression profiling studies evaluating the predictive power of a previously identified set of ~30 genes to predict the transformation of follicular lymphoma to an aggressive large B-cell lymphoma in phase II.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R42
  • Administering IC
    CA
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    100000
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    394
  • Ed Inst. Type
  • Funding ICs
    NCI:100000\
  • Funding Mechanism
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    IDAHO TECHNOLOGY
  • Organization Department
  • Organization DUNS
  • Organization City
    SALT LAKE CITY
  • Organization State
    UT
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    84108
  • Organization District
    UNITED STATES