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Updated: Jun 8, 2026
10:37
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Proteomics as a guiding tool for more effective personalized therapy.
1Molecular Signaling Section, Medical Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA. leej6@mail.nih.gov
Summary
Proteomics enhances ovarian cancer treatment by identifying protein biomarkers for targeted therapies. This approach aids in molecular stratification, leading to personalized treatment strategies for improved patient outcomes.
Area of Science:
- Oncology
- Biochemistry
- Molecular Biology
Background:
- Ovarian cancer is a leading cause of gynecological cancer deaths, often diagnosed late.
- Current treatments lack specificity, necessitating advanced diagnostic and therapeutic strategies.
Purpose of the Study:
- To explore the role of proteomics in characterizing ovarian cancer.
- To identify potential protein and peptide biomarkers for targeted therapy and patient stratification.
Main Methods:
- Proteomic analysis to characterize proteins and post-translational modifications.
- Investigating signaling pathway perturbations in tumor cells.
- Developing validated assays for genetic and proteomic profiling.
Main Results:
- Proteomics provides insights into tumor cell signaling pathways.
- Identified potential new drug targets and prognostic indicators.
- Highlights the shift from gene-centric to pathway-centric analysis.
Conclusions:
- Proteomics enables molecular stratification of ovarian cancer patients.
- Validated peptide biomarkers are crucial for prospective patient selection and therapy guidance.
- Integration of proteomics into clinical practice can personalize treatment for advanced and recurrent ovarian cancer.
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