Plasma metabolomics profiling of 580 patients from an Early Detection Research Network prostate cancer cohort

Prostate 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 definiti...

Full description

Saved in:
Bibliographic Details
Published inScientific data Vol. 10; no. 1; pp. 830 - 8
Main Authors Benedetti, Elisa, Chetnik, Kelsey, Flynn, Thomas, Barbieri, Christopher E., Scherr, Douglas S., Loda, Massimo, Krumsiek, Jan
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 25.11.2023
Nature Publishing Group
Nature Portfolio
Subjects
Online AccessGet full text
ISSN2052-4463
2052-4463
DOI10.1038/s41597-023-02750-7

Cover

More Information
Summary:Prostate 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Undefined-1
ObjectType-Feature-3
content type line 23
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-023-02750-7