MLH1 V384D Mutation Detection for EGFR-TKI Resistance

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Solution Overview

Problem

Current methods for evaluating the efficacy of EGFR-TKI treatment in lung cancer patients are inadequate, particularly in identifying patients with primary resistance and predicting progression-free survival, due to limited understanding of genetic mechanisms underlying treatment resistance.

Innovation Solution

A method involving analysis of MLH1 protein or mRNA sequences to identify alterations at V384, such as the V384D mutation, which correlates with poor efficacy and short progression-free survival, using techniques like polymerase chain reaction, Southern blot, or Western blot.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If EGFR-TKI treatment is administered to all patients with EGFR mutations, then more patients may benefit from targeted therapy, but treatment costs increase and ineffective therapy is administered to patients with primary resistance

Engineering Contradiction:
Improvetreatment efficacyVSAvoidtreatment cost
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent applies preliminary action by performing MLH1 V384 alteration analysis before EGFR-TKI treatment to identify patients with primary resistance. This pre-treatment screening prevents ineffective therapy administration and cost waste on patients who will not respond to EGFR-TKI treatment, while ensuring that responsive patients receive the beneficial therapy.

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If follow-up monitoring is performed to evaluate treatment response, then treatment efficacy can be assessed, but time is lost and treatment strategies cannot be optimized promptly

Engineering Contradiction:
Improvetreatment response informationVSAvoidfollow-up time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent performs the evaluation action preliminarily by analyzing MLH1 V384 status before treatment initiation. This provides immediate information about expected treatment response and progression-free survival, eliminating the need for prolonged follow-up monitoring to assess whether the patient will respond to therapy.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If comprehensive genetic analysis is performed to understand resistance mechanisms, then treatment strategies can be optimized, but device complexity and analysis difficulty increase

Engineering Contradiction:
Improvetreatment strategy optimizationVSAvoidgenetic analysis complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts the specific critical factor (MLH1 V384 alteration) from the complex landscape of genetic variations associated with EGFR-TKI resistance. Instead of analyzing all possible genetic markers, the invention focuses on this single key alteration that predicts primary resistance, thereby simplifying the diagnostic process while maintaining high predictive accuracy.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies local quality by concentrating analytical resources on a specific critical location (MLH1 V384) rather than performing comprehensive genome-wide analysis. This targeted approach examines only the locally critical alteration that has been identified as the key predictor of treatment response.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS10829822B2Method for evaluating the efficacy of an EGFR-TKI treatment
Publication Date: 2020.11.10 LIHPAO LIFE SCI CORP
  • US10829822B2 patent drawing
  • US10829822B2 patent drawing
  • US10829822B2 patent drawing

AI summary

The present invention provides a method for evaluating the efficacy of an EGFR-TKI treatment to a subject, comprising identifying the V384D mutation in said subject. By identifying said mutation, the efficacy of the EGFR-TKI treatment and the progression-free survival of said subject after treatment can be estimated.