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
- Zheng, Yingye — Fred Hutchinson Cancer Center
- Involved Investigators
Abstract
No abstract availalbe.
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.
Comments
No comments available.
Outcome
The marker LPHA reactive periostin protein was measured on 30 invasive breast cancer case and 30 benign breast disease control plasma samples. No association was found between the marker and case-control status.
Secure Outcome
No secure outcome available.
Publications
- No publications available at this time for this protocol.
Biomarkers
Data Collections
- No data collections available at this time for this protocol.
- Start Date
- Aug 28 2013
- Estimated Finish Date
- Dec 28 2013
- Finish Date
- Aug 20 2015
- Protocol ID
- 378
- Protocol Type
- Reference Set
- Fields of Research
-
- Glycomics
- Collaborative Group
- Breast and Gynecologic Cancers Research Group
- Cancer Types
-
- Malignant neoplasm of breast