Mass Tag Detection in FFPE Tissue via Enzymatic Deposition
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Solution Overview
Problem
Current methods for cancer diagnosis, particularly in breast cancer, face challenges in accurately quantifying multiple biomarkers in formalin-fixed, paraffin-embedded (FFPE) tissue samples, lacking suitable platforms for quantitative multiplexed assays and requiring skilled personnel for interpretation, with limitations in sensitivity and spatial resolution in detecting complex biomolecules.
Innovation Solution
The use of mass tag precursors, such as triarylmethane derivatives, azo dyes, and metal-heteroaryl complexes, which undergo enzymatic reactions to deposit mass tags at target sites in tissue samples, allowing for sensitive detection and imaging of multiple targets using mass spectrometry, eliminating the need for fresh tissue and matrix interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional IHC methods using optical imaging are used to detect targets, then one or more targets can be identified within a tissue sample, but accurate quantitative results cannot be provided and only certified medical personnel can evaluate the results
Solution Approach 1:
The patent replaces optical imaging detection with mass spectrometry detection. Instead of using optical lenses and human visual evaluation, the system uses mass spectrometers to detect mass tags, providing automated quantitative measurement. The mass spectrometry system converts the detection mechanism from optical to mass-based, enabling precise quantification without requiring expert visual interpretation.
Solution Approach 2:
The patent introduces mass tags as intermediary molecules that bind to targets and serve as detectable markers. These mass tags act as mediators between the biological target and the mass spectrometry detection system, enabling quantitative measurement. The mass tags convert the undetectable biological molecules into detectable mass signals that can be precisely measured and quantified.
2Adaptability or versatility
If mass spectrometry is used to detect complex biomolecules, then multiplexing capability is improved, but sensitivity is reduced due to poor detection in matrix and complex mass spectra
Solution Approach 1:
The patent extracts the detection challenge by removing complex biomolecules and focusing on detecting small mass tags instead. Rather than attempting to directly analyze complex proteins or nucleic acids with their interfering mass spectra, the system extracts and detects only the simplified mass tag signals, which have clean, distinct mass spectra that can be detected with high sensitivity even in complex tissue matrices.
Solution Approach 2:
The patent applies local quality by making different parts of the detection system specialized: the mass tags have specific, simple mass signatures optimized for detection, while the mass spectrometry system is tuned to detect these specific mass ranges with high sensitivity. Each mass tag is designed with a unique mass characteristic that allows selective detection, creating localized optimization for each detection channel in multiplexed assays.
3Measurement precision
If matrix-assisted mass spectrometry is used for sample detection, then detection capability is improved, but background interference and hot spots occur due to matrix, crystal formation, or laser power limitations
Solution Approach 1:
The patent converts the potential harm of matrix interference into a benefit by using matrix-free laser desorption ionization. Instead of trying to eliminate all matrix effects, the system uses a laser-based ionization method that can penetrate and ionize samples directly without requiring a matrix coating. This approach transforms the matrix from a source of interference into a transparent medium that allows direct laser access to the analytes.
4Measurement precision
If conventional detection methods are used for biomarkers, then detection can be performed, but spatial resolution and sensitivity are limited
Solution Approach 1:
The patent segments the detection system into multiple independent detection channels, each targeting a specific mass tag with a unique mass signature. This segmentation allows simultaneous detection of multiple biomarkers with high spatial resolution, as each mass tag can be independently quantified in the mass spectrum. The segmentation of detection channels enables multiplexed analysis without compromising sensitivity or spatial resolution.
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
This approach enables sensitive, quantitative, and multiplexed detection of cancer biomarkers, providing improved spatial resolution and allowing for the analysis of FFPE tissue samples with enhanced sensitivity and accuracy, facilitating personalized cancer therapy.
Implementation Method 1
using enzymatic reactions to localize mass tags proximal to or at one or more targets in a tissue sample
Implementation Method 2
detecting mass codes enzymatically deposited at the target(s) using mass spectrophotometric techniques
Data Source
AI summary
Particular disclosed embodiments disclosed herein concern using a one or more various mass tags, which can be specifically deposited at targets through direct or indirect enzymatic-catalyzed transformation, to provide a method for identifying targets in tissue samples. The mass tags may be labeled with stable isotopes to produce mass tags having the same chemical structure but different masses. Mass codes produced by ionizing the mass tags are detected and/or quantified using mass spectrometry. The method can be used for multiplexed detection of multiple targets in a particular sample. In some embodiments, a map divided into sections representing sections of the tissue sample may be prepared, with the map sections including data corresponding to quantification data wherein the size of a mass peak is determined and correlated with the amount of a target for the corresponding tissue sample section.