Citation: Xinyue Han, Yunhan Yang, Jiayin Lu, Yuxiang Lin, Dongxue Zhang, Ling Lin, Liang Qiao. Efficient serum lipids profiling by TiO₂-dopamin-assisted MALDI-TOF MS for breast cancer detection[J]. Chinese Chemical Letters, ;2025, 36(5): 110183. doi: 10.1016/j.cclet.2024.110183 shu

Efficient serum lipids profiling by TiO₂-dopamin-assisted MALDI-TOF MS for breast cancer detection

Xinyue Han ^{a, 1} ,
Yunhan Yang ^{a, 1} ,
Jiayin Lu ^a ,
Yuxiang Lin ^b ,
Dongxue Zhang ^{a, *,} ,
Ling Lin ^{a, *,} ,
Liang Qiao ^{a, *,}

a.
Department of Chemistry, Zhongshan Hospital, and Institutes of Biomedical Sciences, Fudan University, Shanghai 200000, China
b.
Department of Breast Surgery, Affiliated Union Hospital of Fujian Medical University, Fuzhou 350001, China

dongxuezhang@fudan.edu.cn

linglin@fudan.edu.cn

liang_qiao@fudan.edu.cn

Received Date: 14 November 2023
Revised Date: 10 June 2024
Accepted Date: 27 June 2024
Available Online: 28 June 2024

Figures(6)

Lipids serve as fundamental constituents of cell membranes and organelles. Recent studies have highlighted the significance of lipids as biomarkers in the diagnosis of breast cancer. Although liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) is widely employed for lipid analysis in complex samples, it suffers from limitations such as complexity and time-consuming procedures. In this study, we have developed dopamine-modified TiO₂ nanoparticles (TiO₂-DA) and applied the materials to assist the analysis of lipids by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The TiO₂-DA can provide large specific surface area and acidic environment, well suited for lipid analysis. The method was initially validated using standard lipid molecules. Good sensitivity, reproducibility and quantification performance was observed. Then, the method was applied to the analysis of 90 serum samples from 30 patients with breast cancer, 30 patients with benign breast disease and 30 healthy controls. Five lipid molecules were identified as potential biomarkers for breast cancer. We constructed a classification model based on the MALDI-TOF MS signal of the 5 lipid molecules, and achieved high sensitivity, specificity and accuracy for the differentiation of breast cancer from benign breast disease and healthy control. We further collected another 60 serum samples from 20 healthy controls, 20 patients with benign breast disease and 20 patients with breast cancer for MALDI-TOF MS analysis to verify the accuracy of the classification model. This advancement holds great promise for the development of diagnostic models for other lipid metabolism-related diseases.
- Lipid,
- MALDI-TOF MS,
- Breast cancer,
- Machine learning,
- TiO₂
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沈阳化工大学材料科学与工程学院沈阳 110142

Efficient serum lipids profiling by TiO2-dopamin-assisted MALDI-TOF MS for breast cancer detection

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通讯作者: 陈斌, bchen63@163.com

Efficient serum lipids profiling by TiO₂-dopamin-assisted MALDI-TOF MS for breast cancer detection