Breast Reference Set Application: Karen Abbott- University of Arkansas (2013)
- Abbreviated Name
- Breast Ref Set App: Abbott (2013)
- Lead Investigator
- Abbott, Karen — Florida International University
- Coordinating Investigator
- Feng, Ziding — Fred Hutchinson Cancer Center
- Involved Investigators
Abstact
Aims
Validating B 1,6 as a biomarker for the early detection of breast cancer. Then continuing to validate L-PHA with the use of Breast Reference Set 2 samples.
Analytic Method
The analysis for LPHA-periostin will be similar. In each case, data will be fit to the fixed-effects linear model yij = u + ai + Bj+ eij, wehre yij is the level, u is the grand mean, ai represent the pairing effect (age-matching), bj the tumor/normal effect,and eij random variation. Transformations of the response levels will be analyzed with the method of Box and Cox (1964); based on the preliminary data we anticipate the log transformation will be adequate. Basic plots of the transformed data will be analyzed for skewness and outliers.
Biomarkers
Data Collections
- No data available at this time for this protocol
- Protocol ID
- 378
- Field of Research
- Glycomics
- Collaborative Group
- Breast and Gynecologic Cancers Research Group
- Cancer Types
-
- Malignant neoplasm of breast