Work

An MOF‐Enhanced Anti‐Fouling Immunoprobe Platform for Efficient Direct Screening of Pancreatic Cancer

Year: 2025

Type: article

Abstract: Monitoring biomarkers offers insights for early disease (e.g., cancer, chronic diseases) screening, treatment guidance and response evaluation. To tackle challenges in precise biomarker detection in complex blood samples, we propose a metal-organic framework (MOF)-enhanced anti-fouling immunoprobe (MAIP). This sensing platform integrates several key features, including an anti-fouling surface, fully oriented antibody immobilization, and an enhanced electron transfer layer. This platform demonstrates remarkable sensitivity and specificity, capable of detecting trace concentrations of cancer markers, ranging from pg/mL to ng/mL. Comprehensive analysis of clinical serum samples, combined with machine learning (ML) evaluations, underscores the platform's reliability and effectiveness in cancer biomarker detection. Using a combination of three biomarkers, the algorithm demonstrated satisfactory classification performance with an accuracy of 100% on the test set across 64 serum samples. Moreover, when evaluated using 10-fold cross-validation, the optimized model maintained a robust accuracy of 0.955 ± 0.09, reinforcing its strong stability and good generalization ability across different data partitions. The MAIP-based platform developed here offers swift analysis, high accuracy, and a simplified testing process. This makes it a promising approach for directly profiling cancer markers from blood, thereby facilitating timely and effective patient care.

Source: Advanced Science

DOI: 10.1002/advs.202503619