Single-Molecule Liquid Biopsy Detects Low- and High-Abundance Protein Markers Simultaneously for Pancreatic Cancer Diagnosis

Simultaneous analysis of multiple biomarkers can typically improve the sensitivity and specificity of a disease diagnosis. Low-abundance serum proteins have recently emerged as a novel class of biomarkers for diseases. Due to the low concentration, the low-abundance protein analysis relies on single-molecule immunoassay, which has a very limited dynamic range. As a result, simultaneous analysis of low- and high-abundance protein markers requires multiple instruments, which demands larger sample volumes and is cost-/labor-consuming. To overcome these limitations, we developed a single-molecule imaging technique that can detect low- and high-abundance protein markers simultaneously in one chip. By employing a hybrid biomarker capture strategy that involves both glass surface and bead immobilization, our method greatly extended the detection range of the single-molecule assay. We used the method for pancreatic cancer diagnosis and analyzed three serum biomarkers of different abundances, including LIF, CA19-9, and CA125. Combined analysis of the three biomarkers yielded exceptional sensitivity and specificity (AUC = 0.996), which is better than using any of the markers alone, including CA19-9 that is used in clinical practice (AUC = 0.804). Overall, we demonstrated a simple and cost-effective method that greatly extended the dynamic range of single-molecule imaging while maintaining the sensitivity, which has great potential in various clinical applications.

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Publication Details

Journal
Analytical Chemistry
Published
2025-04-07
DOI
https://doi.org/10.1021/acs.analchem.4c07031
Citations
2
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
1.87

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article

Single-Molecule Liquid Biopsy Detects Low- and High-Abundance Protein Markers Simultaneously for Pancreatic Cancer Diagnosis

Tian Chen, Xinjian Wang, Bochen Ma, Yifei Jiang et al.
2 citations
Analytical Chemistry
Cancer Genomics and Diagnostics
1.87
article

Single-Molecule Liquid Biopsy Detects Low- and High-Abundance Protein Markers Simultaneously for Pancreatic Cancer Diagnosis

Tian Chen, Xinjian Wang, Bochen Ma, Yifei Jiang, Jieer Ying, Xiaohong Fang, Yuxun Zhou, Lubin Qi, Yongsheng Che, Yijun Liu, Yuan Liang, Yimin Zhang, Songlin Liu, Tao Zhu, Jiao Lei
article en
2 citations

Abstract

Simultaneous analysis of multiple biomarkers can typically improve the sensitivity and specificity of a disease diagnosis. Low-abundance serum proteins have recently emerged as a novel class of biomarkers for diseases. Due to the low concentration, the low-abundance protein analysis relies on single-molecule immunoassay, which has a very limited dynamic range. As a result, simultaneous analysis of low- and high-abundance protein markers requires multiple instruments, which demands larger sample volumes and is cost-/labor-consuming. To overcome these limitations, we developed a single-molecule imaging technique that can detect low- and high-abundance protein markers simultaneously in one chip. By employing a hybrid biomarker capture strategy that involves both glass surface and bead immobilization, our method greatly extended the detection range of the single-molecule assay. We used the method for pancreatic cancer diagnosis and analyzed three serum biomarkers of different abundances, including LIF, CA19-9, and CA125. Combined analysis of the three biomarkers yielded exceptional sensitivity and specificity (AUC = 0.996), which is better than using any of the markers alone, including CA19-9 that is used in clinical practice (AUC = 0.804). Overall, we demonstrated a simple and cost-effective method that greatly extended the dynamic range of single-molecule imaging while maintaining the sensitivity, which has great potential in various clinical applications.

Analytical ChemistryVol. 97(15)
Tianjin University (CN), Chinese Academy of Sciences (CN), Zhejiang Cancer Hospital (CN), Institute for Advanced Study (DE), University of Chinese Academy of Sciences (CN), Zhejiang University (CN)
National Natural Science Foundation of China, National Science and Technology Infrastructure Program, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 16%
Cancer Genomics and Diagnostics
1.87
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