Dual-functional probe for sensitive detection of MCF-7 cells and mendelian randomization analysis of MUC1 association with multiple cancers

• Published in: Scientific reports Vol. 15; no. 1; pp. 6167 - 16
• Main Authors: Wu, Zhuzheng, Chen, Qingquan, Lin, Zhifeng, Chen, Yating, Gan, Xiaohao, He, Ye
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.02.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 631/67; 692/4028; 692/499; 692/699; Biomarkers, Tumor - genetics; Biomarkers, Tumor - metabolism; Breast cancer; Breast Neoplasms - diagnosis; Breast Neoplasms - genetics; Breast Neoplasms - metabolism; Cancer; Cell culture; Cell surface; Colorectal carcinoma; Female; Humanities and Social Sciences; Humans; ICP-MS; Liver cancer; Mass spectrometry; Mass Spectrometry - methods; Mass spectroscopy; MCF-7 Cells; Mendelian randomization analysis; Mendelian Randomization Analysis - methods; Microscopy; Microwaves; MUC1; Mucin-1 - genetics; Mucin-1 - metabolism; multidisciplinary; Nanomaterials; Nanoparticles; Ovarian cancer; Penicillin; Public health; Science; Science (multidisciplinary); Scientific imaging; Toxicity; Mendelian randomization analysis; MUC1; ICP-MS; Cancer
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-025-90575-2

The present study successfully developed a method based on a dual-functional probe for detecting breast cancer cells MCF-7 by recognizing the MUC1 protein on the cell surface. This method integrated inductively coupled plasma mass spectrometry (ICP-MS) and fluorescence imaging technology, enhancing the sensitivity, specificity, and accuracy of breast cancer cell detection. Additionally, through two-sample Mendelian randomization (MR) analysis, we verified a potential correlation between breast cancer and MUC1 (P IVW <0.05), while also proving no potential correlation between liver cancer and MUC1 (P IVW >0.05). Furthermore, this study explored the relationship between other cancers and MUC1, indicating a potential correlation between ovarian cancer and colorectal cancer with MUC1 (P IVW <0.05). In summary, this study provides new strategies for the early diagnosis and treatment of breast cancer and offers new insights into the potential of MUC1 as a biomarker for the detection of other cancers.