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Updated: Jun 5, 2026

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Mutant proteins as cancer-specific biomarkers
Qing Wang1, Raghothama Chaerkady, Jian Wu
1Ludwig Center for Cancer Genetics and Therapeutics and The Howard Hughes Medical Institute, Johns Hopkins Kimmel Cancer Center, Baltimore, MD21231, USA.
Researchers can now directly detect and quantify cancer-driving mutant proteins using mass spectrometry. This breakthrough enables precise measurement of mutant proteins in cell lines and clinical samples for improved cancer diagnostics.
Area of Science:
- Biochemistry
- Proteomics
- Cancer Research
Background:
- Cancer biomarkers are crucial for diagnosis, prognosis, and targeted therapy.
- Mutated gene products (proteins) are ideal biomarkers as they directly contribute to cancer development.
- Current methods for identifying these altered proteins have limitations.
Purpose of the Study:
- To demonstrate direct identification and quantification of altered proteins resulting from somatic mutations using mass spectrometry.
- To establish a method for measuring mutant protein levels in cancer cell lines and clinical specimens.
- To explore the utility of this approach for cancer diagnostics.
Main Methods:
- Utilized mass spectrometry, specifically selected reaction monitoring (SRM) with a triple-quadrupole mass spectrometer.
- Detected and quantified peptides derived from both normal and mutant alleles.
- Applied the method to quantify mutant Ras protein in cancer cell lines and clinical tumor tissues/cyst fluids.
Main Results:
- Successfully quantified mutant Ras protein molecules per cell (average 1.3 million) and the mutant-to-normal ratio (0.49–5.6).
- Detected and quantified mutant Ras proteins in colorectal and pancreatic tumor tissues.
- Identified mutant proteins in premalignant pancreatic cyst fluids.
Conclusions:
- Direct quantification of mutant proteins via mass spectrometry is feasible.
- This technique allows for precise measurement of genetically abnormal proteins in various cancer contexts.
- The approach holds significant potential for advancing cancer diagnostics and understanding tumor biology.
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