Francisco Marchi

Graduate Trainee, University of Florida

1 active project

Metabolites in Cancer

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.

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.

Project Purpose(s)

  • Disease Focused Research (cancer)
  • Methods Development
  • Control Set
  • Ancestry

Scientific Approaches

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.

Anticipated Findings

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
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Research Team

Owner:

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