Serum N-Glycome Detection Reagent for Intestinal Cancer Screening
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Solution Overview
Problem
Current clinical methods for prostate cancer detection, such as PSA screening, DRE, and imaging, suffer from overtreatment, low accuracy, and limited sensitivity, necessitating the development of non-invasive, high-sensitivity, and high-specificity diagnostic tools.
Innovation Solution
A prostate cancer detection reagent analyzing serum-derived oligosaccharide N-glycome profiles using a four-reagent system (A, B, C, D) for glycan peak quantification, followed by statistical analysis to establish a serum-based N-glycome profile model, employing DNA sequencer-assisted fluorophore-assisted carbohydrate electrophoresis for capillary microelectrophoretic separation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If PSA screening is used for prostate cancer detection, then detection rate is improved, but overtreatment rate increases causing unnecessary harm and socioeconomic burden
Solution Approach 1:
The invention segments the detection process into multiple stages: initial PSA screening followed by oligosaccharide chain analysis for confirmation. This multi-stage approach divides the detection workflow to reduce false positives and overtreatment while maintaining high detection rates.
Solution Approach 2:
The oligosaccharide chain analysis serves as an intermediary diagnostic tool between PSA screening and definitive diagnosis/treatment. This intermediate step provides additional verification to distinguish true positives from false positives, reducing unnecessary overtreatment.
2Ease of manufacture
If digital rectal examination is used for prostate cancer screening, then cost-effectiveness is improved, but diagnostic accuracy remains low at 30-50%
Solution Approach 1:
The invention merges DRE with oligosaccharide chain analysis to create a composite diagnostic approach. This combination leverages the cost-effectiveness of DRE while adding the high specificity of oligosaccharide analysis to achieve both economic efficiency and diagnostic accuracy.
3Loss of information
If imaging techniques are used for early-stage prostate cancer detection, then structural visualization is improved, but sensitivity remains low
Solution Approach 1:
The invention substitutes mechanical imaging techniques with biochemical detection methods based on oligosaccharide chain analysis. This replacement uses molecular-level biochemical markers to detect early-stage cancer with higher sensitivity than structural imaging alone.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method achieves 81.60% sensitivity and 75.80% specificity in diagnosing prostate cancer through the G1S1F/G3S3+G1S1F/G2S2F ratio, providing a non-invasive, high-throughput, and clinically applicable diagnostic tool for monitoring cancer onset and progression.
Implementation Method 1
employing DNA sequencer-assisted fluorophore-assisted carbohydrate electrophoresis for capillary microelectrophoretic separation
Data Source
Figure 1A~2
AI summary
An oligosaccharide chain-based detection reagent for detecting intestinal cancer, a preparation method therefor, and use thereof. The detection reagent is prepared by mixing the following reagents: reagent A, which is prepared by adding SDS with a mass concentration of 1-5% to an ammonium bicarbonate solution with a concentration of 10 mM and a pH of 8.3; reagent B, which is prepared by mixing 0.05-10 unit/10 µl of glucosaminidase, NP-40 with a mass concentration of 10%, and an ammonium bicarbonate solution with a concentration of 10 mM and a pH of 8.3, the pH value of the mixed solution being 5-9; reagent C, which is an organic reducing agent with a concentration of 0.02 mM-1 M prepared by dissolving 8-aminopyrene-1,3,6-trisulfonic acid in DMSO; and reagent D, which is a stop solution. A natural oligosaccharide N-glycome profile in a serum is measured by means of the reagent, then peak values are quantified, and statistical analysis is performed, so that a method for establishing a serum natural oligosaccharide N-glycome profile model for intestinal cancer is provided, and intestinal cancer is detected by means of determining changes in the natural glycosylation modification of a protein in a physiological and pathological state.