Summary of Study ST000787

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000574. The data can be accessed directly via it's Project DOI: 10.21228/M8GD58 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST000787
Study TitleIdentifying metabolic adaptations characteristic of multiple myeloma cells via mass spectrometry-based metabolite profiling from Peripheral Plasma
Study SummaryWill be assessing the untargeted metabolomic profiles of high risk versus low risk smoldering myeloma patients based on peripheral blood plasma, bone marrow plasma and Cd138+ plasma cells. Peripheral Plasma ms5972
Institute
Mayo Clinic
Last NameGonsalves
First NameWilson
Address200 First St. SW, Rochester, Minnesota, 55905, USA
Emailgonsalves.wilson@mayo.edu
Phone507-266-0792
Submit Date2017-07-11
Analysis Type DetailLC-MS
Release Date2019-07-17
Release Version1
Wilson Gonsalves Wilson Gonsalves
https://dx.doi.org/10.21228/M8GD58
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Treatment:

Treatment ID:TR000826
Treatment Summary:We will use matched BM plasma and purified clonal marrow PCs from the BM samples of SMM patients collected at the time of their diagnosis and stored within the Mayo Clinic Predolin Foundation Biobank. We will select BM samples from patients with SMM who progressed to MM within 2 years of their samples being collected and stored; this will constitute the high risk SMM group. We will also select BM samples from SMM patients who have not progressed to MM within at least 2 years of follow up of their samples being collected and stored; this will constitute the standard risk SMM group. The strength of this approach is that we will utilize stored SMM samples from one of the most comprehensively characterized monoclonal gammopathy biobanks available. Secondly, all samples will be obtained from collection dates at least 2 years prior in order to ensure adequate follow-up time to assess their current clinical status. This would avoid the need to prospectively collect samples from SMM patients and clinically follow them for a number of years before we are able to gauge who were clinically high or standard risk for progression. There are over 700 SMM patients who have had their BM samples collected and stored in the biobank from 1996 to 2013; more than half these patients have progressed to MM.
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