Dataset Information

Convergence of plasma metabolomics and proteomics analysis to discover signatures of high-grade serous ovarian cancer

ABSTRACT: The purpose of this study is to find candidate biomarkers by analyzing metabolites and proteins with differential amounts in 10 ovarian cancer patient plasmas and 10 healthy female plasmas. Only MS files for plasma proteins are uploaded here. The metabolite quants were obtained using Biocrates AbsolutedIDQ p400, and MS data was not uploaded but only the quantitative value table was uploaded.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Malignant Neoplasm Of Ovary

SUBMITTER: Kyunggon Kim

LAB HEAD: Kyunggon Kim

PROVIDER: PXD020557 | Pride | 2020-12-01

REPOSITORIES: Pride

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Publications

Convergence of Plasma Metabolomics and Proteomics Analysis to Discover Signatures of High-Grade Serous Ovarian Cancer.

Ahn Hee-Sung HS Yeom Jeonghun J Yu Jiyoung J Kwon Young-Il YI Kim Jae-Hoon JH Kim Kyunggon K

Cancers 20201119 11

The 5-year survival rate in the early and late stages of ovarian cancer differs by 63%. In addition, a liquid biopsy is necessary because there are no symptoms in the early stage and tissue collection is difficult without using invasive methods. Therefore, there is a need for biomarkers to achieve this goal. In this study, we found blood-based metabolite or protein biomarker candidates for the diagnosis of ovarian cancer in the 20 clinical samples (10 ovarian cancer patients and 10 healthy contr ...[more]

PMID: 33228226

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Dataset Information

Convergence of plasma metabolomics and proteomics analysis to discover signatures of high-grade serous ovarian cancer

Publications

Convergence of Plasma Metabolomics and Proteomics Analysis to Discover Signatures of High-Grade Serous Ovarian Cancer.

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