Graduate Trainee, University of Florida
1 active project
Metabolites in Cancer
Scientific Questions Being Studied
In this exploratory data analysis effort, we aim to identify metabolites that can be predictive of outcome for pediatric cancer patients, as well as adolescents and young adults.
- Disease Focused Research (cancer)
- Methods Development
- Control Set
This approach will utilize All of Us, TCGA, and AML02 St. Judes Clinical trial datasets. The research methodology will consist of training machine learning models such as cox-lasso regression to identify metabolites that are predictive of morbidity and mortality in pediatric leukemia patients.
We anticipate the creation of a metabolite signature that can be implemented in any healthcare facility around the world with capacity to run metabolite labs. Ultimately, the goal of this work is to reduce cancer morbidity and mortality in young patients.
Demographic Categories of Interest
- Race / Ethnicity
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Disability Status
- Access to Care
- Education Level
- Income Level
- Francisco Marchi - Graduate Trainee, University of Florida
You can request that the All of Us Resource Access Board (RAB) review a research purpose description if you have concerns that this research project may stigmatize All of Us participants or violate the Data User Code of Conduct in some other way. To request a review, you must fill in a form, which you can access by selecting ‘request a review’ below.