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


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
25 11 2023
Historique:
received: 15 03 2023
accepted: 14 11 2023
medline: 27 11 2023
pubmed: 26 11 2023
entrez: 25 11 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38007532
doi: 10.1038/s41597-023-02750-7
pii: 10.1038/s41597-023-02750-7
pmc: PMC10676366
doi:

Substances chimiques

Prostate-Specific Antigen EC 3.4.21.77

Types de publication

Dataset Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

830

Subventions

Organisme : NCI NIH HHS
ID : R01 CA179100
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA113913
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Elisa Benedetti (E)

Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.

Kelsey Chetnik (K)

Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.

Thomas Flynn (T)

Department of Urology, Weill Cornell Medical College, New York-Presbyterian Hospital, New York, NY, USA.

Christopher E Barbieri (CE)

Department of Urology, Weill Cornell Medical College, New York-Presbyterian Hospital, New York, NY, USA.

Douglas S Scherr (DS)

Department of Urology, Weill Cornell Medical College, New York-Presbyterian Hospital, New York, NY, USA.

Massimo Loda (M)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.

Jan Krumsiek (J)

Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA. jak2043@med.cornell.edu.
Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA. jak2043@med.cornell.edu.
Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA. jak2043@med.cornell.edu.

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Classifications MeSH