Work

Supplementary Data 1 from A Urinary Three-Metabolite Signature Enables Noninvasive Identification of Patients with High-Risk Ovarian Cancer

Year: 2026

Type: supplementary-materials

Abstract: Urine Metabolite Dataset.

DOI: 10.1158/1078-0432.33014270

Authors: Alexander Max Funk, Mareike Brieske, Franziska Maria Schwarz, Theresa Link, Sophie Jonas, Pauline Wimberger, Lisa Freitag, Anna Klimova, Triantafyllos Chavakis, Peter Mirtschink, Jan Dominik Kuhlmann

Language: English

Topic: Metabolomics and Mass Spectrometry Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

OpenAlex ID: W7169569273

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