Random-Primed cfDNA Sequencing for Low-Frequency Cancer Markers
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Solution Overview
Problem
Current cancer detection methods lack sensitivity and specificity for early detection, particularly in cases where imaging methods are inconclusive or after treatment, and there is a need for more effective genetic screening tools.
Innovation Solution
A method involving a sequencing panel of up to 50,000 nucleotides that captures cfDNA molecules from blood, serum, or plasma, allowing for the detection of tumor markers at low frequencies (0.01% or lower) in a subset of genes associated with cancers like ovarian, pancreatic, breast, and colorectal cancers, with high sensitivity and specificity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current cancer detection methods (imaging, physical exam, standard genetic tests) are used, then general cancer screening is available, but sensitivity and specificity for early detection are insufficient
Solution Approach 1:
The patent segments the detection process into multiple independent components: (1) fragmentation of cfDNA into smaller pieces, (2) random priming with multiple primers targeting different regions, (3) exponential enrichment through multiple rounds of PCR amplification, and (4) high-depth sequencing. This segmentation allows each component to be optimized independently, achieving ultra-sensitive detection while maintaining reliability through the cumulative effect of multiple filtering stages.
Solution Approach 2:
The patent introduces random primers as intermediaries that bind to fragmented cfDNA sequences. These primers serve as mediators between the cfDNA sample and the sequencing process, enabling selective amplification and enrichment of tumor-derived DNA fragments. The random priming approach allows the system to capture diverse cfDNA sequences without requiring prior knowledge of specific tumor mutations, thereby improving early detection sensitivity while maintaining specificity through subsequent high-depth sequencing validation.
2Measurement precision
If standard sequencing depth is used for cfDNA analysis, then cost and time are reduced, but detection frequency of low-abundance tumor markers cannot reach 0.01%
Solution Approach 1:
The patent performs preliminary fragmentation and random priming of cfDNA before the main sequencing process. This preliminary action prepares the DNA sample by creating numerous small fragments with accessible binding sites, enabling subsequent exponential enrichment. By performing these preparatory steps beforehand, the system can achieve ultra-high detection sensitivity (0.01% frequency) without requiring prohibitively high sequencing depth, thus maintaining productivity.
Solution Approach 2:
The patent dramatically changes the enrichment parameter by implementing multiple rounds of PCR amplification with random primers. This exponential enrichment process increases the relative abundance of tumor-derived DNA fragments from trace levels to detectable levels. By changing the enrichment parameter rather than simply increasing sequencing depth, the system achieves 0.01% detection frequency while maintaining reasonable sequencing throughput and cost efficiency.
3Adaptability or versatility
If a large sequencing panel covering the whole genome is used, then comprehensive cancer detection is achieved, but the complexity and cost of the assay increases significantly
Solution Approach 1:
The patent employs random primers with universal binding characteristics that can recognize and amplify diverse cfDNA sequences regardless of their origin or mutation type. This universal approach allows a single assay design to detect multiple cancer types and various genetic alterations (mutations, indels, rearrangements) without requiring cancer-specific or mutation-specific primers. The randomness of the priming approach provides multi-functionality, enabling comprehensive cancer detection while maintaining assay simplicity.
Solution Approach 2:
The random priming system allows the cfDNA sample itself to determine which sequences are amplified and detected, rather than requiring pre-selection of target regions based on known cancer associations. The fragmentation and random priming process naturally enriches for tumor-derived sequences based on their inherent characteristics, enabling the assay to adapt to different cancer types and mutations without requiring complex pre-programming or customization for each cancer type.
Data Source
AI summary
Disclosed herein are methods, compositions, and devices for use in the early detection of cancer. The methods include preparing cell-free nucleic acid molecules from a subject for sequencing, sequencing a panel of regions in the cell-free nucleic acid molecules, and detecting one or more markers that are indicative of a cancer.


