Summary of Study ST002498

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 PR001613. The data can be accessed directly via it's Project DOI: 10.21228/M86H7K 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 IDST002498
Study TitlePlasma Metabolomics Profiling of 580 Patients from the Weill Cornell Medicine Early Detection Research Network Prostate Cancer Cohort
Study SummaryProstate cancer is the second most common cancer in men and affects 1 in 9 men in the United States. Early screening for prostate cancer often involves monitoring levels of prostate-specific antigen (PSA) and performing digital rectal exams. However, a prostate biopsy is always required for definitive cancer diagnosis. The Early Detection Research Network (EDRN) is a consortium within the National Cancer Institute aimed at improving screening approaches and early detection of cancers. As part of this effort, the Weill Cornell EDRN Prostate Cancer has collected and biobanked specimens from men undergoing a prostate biopsy between 2008 and 2017. In this report, we describe blood metabolomics measurements for a subset of this population. The dataset includes detailed clinical and prospective records for 580 patients who underwent prostate biopsy, 287 of which were subsequentially diagnosed with prostate cancer, combined with profiling of 1,482 metabolites from plasma samples collected at the time of biopsy. We expect this dataset to provide a valuable resource for scientists investigating prostate cancer metabolism.
Institute
Weill Cornell Medicine
Last NameKrumsiek
First NameJan
Address1305 York Avenue, New York, NY 10021
Emailjak2043@med.cornell.edu
Phone646-962-4152
Submit Date2023-02-24
Total Subjects580
Num Males580
Analysis Type DetailLC-MS
Release Date2023-09-19
Release Version1
Jan Krumsiek Jan Krumsiek
https://dx.doi.org/10.21228/M86H7K
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Diagnosis
SA307637C003630
SA307638C003620
SA307639C006990
SA307640C006960
SA307641C003610
SA307642C006930
SA307643C003710
SA307644C003700
SA307645C003680
SA307646C003580
SA307647C003650
SA307648C007000
SA307649C003460
SA307650C003440
SA307651C007040
SA307652C007070
SA307653C003480
SA307654C003510
SA307655C007020
SA307656C003530
SA307657C003520
SA307658C003720
SA307659C003730
SA307660C003940
SA307661C006810
SA307662C006820
SA307663C003900
SA307664C006790
SA307665C006750
SA307666C006700
SA307667C006730
SA307668C003990
SA307669C003890
SA307670C006830
SA307671C003790
SA307672C006880
SA307673C003760
SA307674C003750
SA307675C003810
SA307676C003820
SA307677C003860
SA307678C003840
SA307679C006850
SA307680C003380
SA307681C003340
SA307682C007590
SA307683C002850
SA307684C002830
SA307685C002820
SA307686C007550
SA307687C007540
SA307688C002940
SA307689C002920
SA307690C002910
SA307691C002810
SA307692C002800
SA307693C002710
SA307694C002690
SA307695C002680
SA307696C002670
SA307697C002740
SA307698C007630
SA307699C002790
SA307700C002780
SA307701C002770
SA307702C007520
SA307703C002990
SA307704C003270
SA307705C007230
SA307706C003240
SA307707C007310
SA307708C003280
SA307709C003290
SA307710C003320
SA307711C007220
SA307712C003300
SA307713C003160
SA307714C007320
SA307715C003040
SA307716C007480
SA307717C007500
SA307718C003010
SA307719C003070
SA307720C003080
SA307721C003140
SA307722C003110
SA307723C003090
SA307724C004020
SA307725C004030
SA307726C005070
SA307727C005060
SA307728C006030
SA307729C006040
SA307730C005110
SA307731C005170
SA307732C005210
SA307733C005190
SA307734C005980
SA307735C005030
SA307736C005020
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