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Proteomic analysis of blood biomarkers predicting prognosis of high-grade serous ovarian carcinoma

ABSTRACT: Ovarian cancer is one of the most lethal female cancer and tends to be diagnosed at an advanced stage, resulting high recurrence and mortality rates despite the treatment. Accurate prediction of prognosis is necessary to facilitate molecular profiling-based treatment. We investigated novel, blood-based prognostic biomarkers for high-grade serous ovarian carcinoma (HGSOC) using mass spectrometry-based proteomics methods.

INSTRUMENT(S): Q Exactive HF-X

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Malignant Neoplasm Of Ovary

SUBMITTER: Dohyun Han

LAB HEAD: Dohyun Han

PROVIDER: PXD034636 | Pride | 2023-03-11

REPOSITORIES: Pride

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Proteomic Discovery of Plasma Protein Biomarkers and Development of Models Predicting Prognosis of High-Grade Serous Ovarian Carcinoma.

Kim Se Ik SI Hwangbo Suhyun S Dan Kisoon K Kim Hee Seung HS Chung Hyun Hoon HH Kim Jae-Weon JW Park Noh Hyun NH Song Yong-Sang YS Han Dohyun D Lee Maria M

Molecular & cellular proteomics : MCP 20230117 3

Ovarian cancer is one of the most lethal female cancers. For accurate prognosis prediction, this study aimed to investigate novel, blood-based prognostic biomarkers for high-grade serous ovarian carcinoma (HGSOC) using mass spectrometry-based proteomics methods. We conducted label-free liquid chromatography-tandem mass spectrometry using frozen plasma samples obtained from patients with newly diagnosed HGSOC (n = 20). Based on progression-free survival (PFS), the samples were divided into two gr ...[more]

PMID: 36669591

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