Evaluation of Lipid Poor Renal Masses with Magnetic Resonance Spectroscopy in Tuberous Sclerosis Complex

Abstract

The Research Project supported by this DOD Award investigates the potential of in vivo and ex vivo MRS in characterizing the metabolomic spectra of TSC-associated renal masses. Our goal is to gain an understanding of metabolomic markers in lipid poor renal masses which may be used in non-invasive imaging, as tissue based biomarkers, or as potential targets for future therapeutic development. To optimize our in vivo image acquisition protocol, we first scanned healthy volunteers. Our overall enrollment specifically of TSC patients with lipid poor renal masses had been lower than expected. In order to meet our goal of gaining more metabolomic data on renal masses, we expanded our subjects to include TSC patients with lipid rich masses, non-TSC patients with lipid poor and lipid rich renal masses. Our analysis cohort was also expanded with the utilization of our MGH Genitourinary Oncology Tumor Bank, including AML and other renal tumor tissue. Our ex vivo work from the tumor bank was presented virtually at the 2020 American Urological Association national meeting and was awarded Best Poster. The manuscript is currently in final editing for submission. In addition, we are analyzing our in vivo data and plan to prepare an additional manuscript. The findings from this study will help the TSC community gain an understanding of the metabolomics of AML and other renal tumors.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2021
Accession Number
AD1173839

Entities

People

  • Adam S. Feldman

Organizations

  • Massachusetts General Hospital

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Amines
  • Amino Acids
  • Biomedical Research
  • Cancer
  • Chemistry
  • Health Services
  • High Resolution
  • Magnetic Resonance
  • Medical Personnel
  • Metabolic Diseases
  • Metabolic Pathways
  • Metabolism
  • Metabolomics
  • Neoplasms
  • Resonance
  • Spectra
  • Spectroscopy

Fields of Study

  • Medicine
  • Physics

Readers

  • Molecular and Cellular Biology
  • Oncology and Biomarker-Based Cancer Detection.