CTCF Binding Region Analysis in Cell-Free DNA
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Solution Overview
Problem
Current liquid biopsy tests for cancer diagnosis face challenges in detecting tumor-originating somatic mutations in plasma cell-free DNA (cfDNA) due to the small amount of tumor DNA present, especially in early-stage cancer, making it difficult to achieve sensitive and accurate results.
Innovation Solution
The method involves analyzing the fragmentation pattern of cfDNA in plasma, specifically at CTCF binding regions, to detect nucleosomal organization patterns that are tissue-specific, allowing for the amplification of tumor DNA signals and differentiation from normal tissues, using computer-processed distributions to identify genetic aberrations and classify clinical cohorts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If liquid biopsy tests analyze tumor-originating somatic mutations in plasma cfDNA, then cancer diagnosis and prognosis can be achieved, but the detection sensitivity is insufficient when tumor DNA amount is very small
Solution Approach 1:
The patent uses nucleosomal organization patterns as an intermediary signal to detect tumor DNA. Instead of directly detecting tumor DNA sequences, the method analyzes how nucleosomes are organized around CTCF binding sites, which serves as a mediator that amplifies the detectable signal from tumor DNA even when its quantity is very low.
Solution Approach 2:
The patent changes the detection parameter from direct DNA sequence analysis to nucleosomal organization pattern analysis. By measuring fragment length distributions and cleavage point patterns around CTCF binding regions, the method transforms the detection approach to one that is sensitive to chromatin structure changes caused by tumor DNA, enabling detection even when tumor DNA amount is minimal.
2Measurement precision
If liquid biopsy tests rely on somatic mutation detection in cfDNA, then cancer genetic information can be obtained, but the accuracy is compromised when tumor DNA concentration is low
Solution Approach 1:
The patent adds a new dimension to DNA analysis by examining nucleosomal organization patterns and chromatin structure around CTCF binding sites. This dimensional shift from sequence-only analysis to structure-aware analysis provides additional information that improves detection accuracy, allowing the system to distinguish tumor DNA from normal DNA based on chromatin organization differences even when tumor DNA concentration is low.
Solution Approach 2:
The patent changes the detection parameter from direct DNA sequence analysis to nucleosomal organization pattern analysis. By measuring fragment length distributions and cleavage point patterns around CTCF binding regions, the method transforms the detection approach to one that is sensitive to chromatin structure changes caused by tumor DNA, enabling detection even when tumor DNA amount is minimal.
3Quantity of substance
If liquid biopsy tests analyze all cfDNA in plasma, then comprehensive genetic information can be obtained, but the tumor-specific signal is diluted by normal tissue DNA
Solution Approach 1:
The patent applies local quality by focusing analysis specifically on CTCF binding regions where nucleosomal organization patterns are highly tissue-specific. By concentrating computational and analytical resources on these particular genomic loci rather than analyzing all cfDNA uniformly, the method enhances the tumor-specific signal while filtering out background noise from normal tissue DNA.
Solution Approach 2:
The patent segments the cfDNA analysis by focusing on specific genomic regions (CTCF binding sites) rather than analyzing the entire genome uniformly. This segmentation allows the method to concentrate on regions where tumor and normal DNA exhibit distinct nucleosomal organization patterns, thereby improving signal-to-noise ratio and reducing dilution effects.
4Reliability
If liquid biopsy tests use traditional mutation detection methods, then standard cancer markers can be identified, but the sensitivity for early-stage cancer is insufficient
Solution Approach 1:
The patent replaces the mechanical approach of direct DNA sequence detection with a bio-physical approach that analyzes nucleosomal organization and chromatin structure. By substituting sequence-based detection with structure-based detection, the method achieves higher sensitivity for early-stage cancer where tumor DNA amounts are extremely low, as chromatin structure patterns provide amplified signals that are more detectable than rare sequence variants.
Data Source
AI summary
The present disclosure provides systems and methods to analyze CTCF binding regions in cell-free DNA (cfDNA) from a subject to detect tumor-originating cfDNA.


