Summary of study ST001682

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 PR001081. The data can be accessed directly via it's Project DOI: 10.21228/M8ZT4C This work is supported by NIH grant, U2C- DK119886.

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Study IDST001682
Study TitleUntargeted urine LC-HRMS metabolomics profiling for bladder cancer binary outcome classification
Study SummaryTwo samples cohorts were analysed for bladder cancer biomarkers selection. Untargeted urine RP UPLC-HRMS metabolomics profiling was utilized in SCAN MS mode and positive polarity. Dilute and shoot technique was employed for sample preparation.
Institute
Lomonosov MSU
DepartmentChemistry
LaboratoryMass spectrometry
Last NamePlyushchenko
First NameIvan
AddressLeninskie gory, 1/3
Emailplyush1993@bk.ru
Phone+79160362200
Submit Date2020-10-20
Num Groups2
Total Subjects124
Raw Data AvailableYes
Raw Data File Type(s).cdf
Analysis Type DetailLC-MS
Release Date2021-02-22
Release Version1
Ivan Plyushchenko Ivan Plyushchenko
https://dx.doi.org/10.21228/M8ZT4C
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Treatment:

Treatment ID:TR001772
Treatment Summary:Creatinine level, age, sex and clinical diagnosis were collected for study samples as meta-data. The study included urine samples from patients with bladder cancer (TG) and healthy controls (CG) matched with the TG group for age and sex.
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