Novel proteomic technologies to address gaps in pre-clinical ovarian cancer biomarker discovery efforts

被引:3
作者
Jordan, Helen A. [1 ]
Thomas, Stefani N. [1 ,2 ]
机构
[1] Univ Minnesota, Dept Lab Med & Pathol, Minneapolis, MN USA
[2] Univ Minnesota, Dept Lab Med & Pathol, 420 Delaware St SE,MMC 609, Minneapolis, MN 55455 USA
基金
英国医学研究理事会;
关键词
Ovarian cancer; proteomics; mass spectrometry; biomarkers; ion mobility spectrometry; ION MOBILITY SPECTROMETRY; HOMOLOGOUS RECOMBINATION DEFICIENCY; QUANTITATIVE MASS-SPECTROMETRY; LOW-GRADE; NEOADJUVANT CHEMOTHERAPY; DEFINITIONS; MAINTENANCE; RECURRENCE; CARCINOMA; SECONDARY;
D O I
10.1080/14789450.2023.2295861
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
IntroductionAn estimated 20,000 women in the United States will receive a diagnosis of ovarian cancer in 2023. Late-stage diagnosis is associated with poor prognosis. There is a need for novel diagnostic biomarkers for ovarian cancer to improve early-stage detection and novel prognostic biomarkers to improve patient treatment.Areas coveredThis review provides an overview of the clinicopathological features of ovarian cancer and the currently available biomarkers and treatment options. Two affinity-based platforms using proximity extension assays (Olink) and DNA aptamers (SomaLogic) are described in the context of highly reproducible and sensitive multiplexed assays for biomarker discovery. Recent developments in ion mobility spectrometry are presented as novel techniques to apply to the biomarker discovery pipeline. Examples are provided of how these aforementioned methods are being applied to biomarker discovery efforts in various diseases, including ovarian cancer.Expert opinionTranslating novel ovarian cancer biomarkers from candidates in the discovery phase to bona fide biomarkers with regulatory approval will have significant benefits for patients. Multiplexed affinity-based assay platforms and novel mass spectrometry methods are capable of quantifying low abundance proteins to aid biomarker discovery efforts by enabling the robust analytical interrogation of the ovarian cancer proteome.
引用
收藏
页码:439 / 450
页数:12
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