An Automated Multi-Sample Digital LAMP Platform for Quantitative Detection of SDC2 Methylation in Colorectal Cancer

Area of Science:

• Biomolecular Engineering
• Molecular Diagnostics
• Oncology

Background:

• DNA methylation of the SDC2 gene is a key biomarker for early colorectal cancer (CRC) detection.
• Clinical application requires analytical platforms with improved accuracy, speed, and high-throughput capacity.

Purpose of the Study:

• To develop an automated, multisample digital loop-mediated isothermal amplification (dLAMP) platform for SDC2 methylation analysis.
• To enhance sample throughput and efficiency for CRC biomarker detection.

Main Methods:

• An automated multisample dLAMP platform with a dual-volume microfluidic chip (4 or 8 samples parallel).
• Integration of automatic sample injection and advanced image processing for streamlined analysis.
• Design of methylation-specific (MS) and unmethylation-specific (UMS) LAMP primers with high specificity.

Main Results:

• The platform demonstrated robust performance with high sensitivity, specificity, and reproducibility in CRC cell lines and clinical samples.
• Elevated SDC2 methylation was detected in tumor tissues across all stages of colorectal cancer.
• The automated dLAMP system achieved enhanced sample throughput and efficiency.

Conclusions:

• The developed automated dLAMP platform is a robust, high-throughput tool for SDC2 methylation analysis.
• This platform holds significant potential for noninvasive early cancer screening and clinical biomarker applications.
• The technology facilitates accurate and efficient detection of colorectal cancer biomarkers.