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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
Published on: March 17, 2016
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A MALDI-MS-based quantitative analytical method for endogenous estrone in human breast cancer cells
Kyoung-Jin Kim1, Hee-Jin Kim1, Han-Gyu Park1
1Department of Chemical Engineering, Soongsil University, Seoul 156-743, Korea.
Scientific Reports
|April 20, 2016
Summary
This study introduces a sensitive mass spectrometry method for quantifying estrone, a key hormone linked to breast cancer. The new platform accurately measures estrone levels in clinical samples, aiding in understanding disease mechanisms.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Mass Spectrometry
Background:
- Endogenous estrone levels correlate with post-menopausal breast cancer incidence.
- Quantifying low-abundance estrone in clinical specimens presents a significant challenge.
Purpose of the Study:
- To develop a robust and highly sensitive mass-assisted laser desorption/ionization mass spectrometry (MALDI-MS) platform for absolute estrone quantification.
- To establish a method for monitoring estrone levels in various clinical specimens, including cell lines.
Main Methods:
- Development of a one-step modification protocol for estrone to enhance MALDI-MS sensitivity.
- Utilized a deuterated estrone internal standard for accurate quantification in MCF-7 breast cancer cells.
- Applied the MALDI-MS platform to monitor estrone metabolic changes in response to aromatase inhibitor treatment.
Main Results:
- The developed platform demonstrated excellent linearity (R(2) > 0.99) and high sensitivity (limit of quantitation: 11 fmol).
- Absolute estrone quantities were successfully determined in MCF-7 cells (34 fmol/10(6) cells).
- Changes in estrone metabolic expression were monitored in treated MCF-7 cells (17.7 fmol/10(6) cells).
Conclusions:
- The MALDI-MS-based quantitative approach offers a sensitive and robust method for estrone measurement.
- This technique may serve as a general platform for targeted metabolomics of ketone-containing metabolites.
- The method has potential applications in reflecting clinical conditions and understanding breast cancer pathogenesis.

