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Toward improvement of screening through mass spectrometry-based proteomics: ovarian cancer as a case study
- Source :
- Int J Mass Spectrom
- Publication Year :
- 2021
- Publisher :
- eScholarship, University of California, 2021.
-
Abstract
- Ovarian cancer is one of the leading causes of cancer related deaths affecting United States women. Early-stage detection of ovarian cancer has been linked to increased survival, however, current screening methods, such as biomarker testing, have proven to be ineffective in doing so. Therefore, further developments are necessary to be able to achieve positive patient prognosis. Ongoing efforts are being made in biomarker discovery towards clinical applications in screening for early-stage ovarian cancer. In this perspective, we discuss and provide examples for several workflows employing mass spectrometry-based proteomics towards protein biomarker discovery and characterization in the context of ovarian cancer; workflows include protein identification and characterization as well as intact protein profiling. We also discuss the opportunities to merge these workflows for a multiplexed approach for biomarkers. Lastly, we provide our insight as to future developments that may serve to enhance biomarker discovery workflows while also considering translational potential.
- Subjects :
- Context (language use)
Computational biology
Proteomics
Article
Analytical Chemistry
Causes of cancer
ofiling
Rare Diseases
medicine
MALDI-TOF MS
Physical and Theoretical Chemistry
Biomarker discovery
Fingerprinting
Instrumentation
Spectroscopy
Cancer
screening and diagnosis
Mass spectrometry based proteomics
Chemistry
Prevention
Organic Chemistry
Condensed Matter Physics
medicine.disease
Ovarian Cancer
4.1 Discovery and preclinical testing of markers and technologies
Detection
Screening
Biomarker (medicine)
Protein identification
4.4 Population screening
Ovarian cancer
Biomarkers
Physical Chemistry (incl. Structural)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Int J Mass Spectrom
- Accession number :
- edsair.doi.dedup.....65d3253b46c99f343efa83a158067b40