Multiscale Omics for the Development of a Cohort Database and Study Platform in Breast Cancer Survivors

Description

PRIMARY OBJECTIVE:

I. To use multiscale omics to build a cohort database that can be used as a reference population in support of multivariate analysis, predictive modeling, and development of natural product therapeutics and precision medicine applications for breast cancer survivors.

SECONDARY OBJECTIVE:

I. To detect unique patterns of variance between 1) targeted serum metabolites, 2) plasma metabolome, 3) gut microbiome community structure, 4) gut microbiome metabolome, 5) urine metabolome, 6) quality of life measures, and 7) breast cancer survivors (BCS) symptoms by using multivariate analysis, machine learning tools, and artificial intelligence applied to the large data sets developed in this trial.

OUTLINE:

Participants complete questionnaires over 10 minutes and undergo blood, urine, saliva, and fecal samples collection.