Proteomics

Dataset Information

0

Detection of candidate ovarian cancer protein biomarkers in sera using a multiplexed targeted mass spectrometry assay


ABSTRACT: Ovarian cancer is the most lethal gynecologic malignancy in women, and high-grade serous ovarian cancer (HGSOC) is the most common subtype. Currently, no clinical test has been approved by the FDA to screen the general population for ovarian cancer. This underscores the critical need for the development of a robust methodology combined with novel technology to detect diagnostic biomarkers for HGSOC in the sera of women. Targeted mass spectrometry (MS) can be used to identify and quantify specific peptides/proteins in complex biological samples with high accuracy, sensitivity, and reproducibility. In this study, we sought to develop and conduct analytical validation of a multiplexed Tier 2 targeted MS parallel reaction monitoring (PRM) assay for the relative quantification of 23 putative ovarian cancer protein biomarkers in sera.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

DISEASE(S): Malignant Neoplasm Of Ovary

SUBMITTER: Joohyun Ryu  

LAB HEAD: Stefani Thomas

PROVIDER: PXD047188 | Pride | 2024-01-26

REPOSITORIES: Pride

altmetric image

Publications

Quantification of putative ovarian cancer serum protein biomarkers using a multiplexed targeted mass spectrometry assay.

Ryu Joohyun J   Boylan Kristin L M KLM   Twigg Carly A I CAI   Evans Richard R   Skubitz Amy P N APN   Thomas Stefani N SN  

Clinical proteomics 20240103 1


<h4>Background</h4>Ovarian cancer is the most lethal gynecologic malignancy in women, and high-grade serous ovarian cancer (HGSOC) is the most common subtype. Currently, no clinical test has been approved by the FDA to screen the general population for ovarian cancer. This underscores the critical need for the development of a robust methodology combined with novel technology to detect diagnostic biomarkers for HGSOC in the sera of women. Targeted mass spectrometry (MS) can be used to identify a  ...[more]

Similar Datasets

2017-01-30 | E-MTAB-4667 | biostudies-arrayexpress
2023-10-24 | PXD032299 | Pride
2022-08-11 | PXD033169 | Pride
2023-10-09 | PXD036726 | Pride
2015-04-22 | E-GEOD-68104 | biostudies-arrayexpress
2018-04-05 | PXD009382 | Pride
2024-01-23 | GSE238158 | GEO
2021-04-20 | GSE157401 | GEO
2021-05-13 | GSE155547 | GEO
2016-08-24 | PXD003668 | Pride