Molecular Profiling for Individualized Cancer Therapy
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Solution Overview
Problem
Current treatment regimens for cancer patients, especially those with metastatic cancer, often run out of options as they progress through standard therapies, and existing methods do not effectively utilize molecular profiling to identify personalized drug therapies targeting specific genes and proteins.
Innovation Solution
A system and method for determining individualized medical intervention using molecular profiling that involves testing genes and gene-expressed proteins in a patient's biological sample, identifying changes in expression compared to a reference, and selecting drug therapies that interact with these targets through immunohistochemical and microarray analyses, including an automated review of literature and clinical trial data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If treatment regimens are selected based on clinical criteria and disease diagnosis, then treatment selection is straightforward and based on established protocols, but treatment effectiveness is limited and does not account for individual molecular profiles
Solution Approach 1:
The patent changes the parameter basis for treatment selection from clinical diagnosis criteria to molecular profile parameters. By measuring and analyzing molecular findings (genes, proteins, molecular mechanisms) in patient samples, the system identifies treatment regimens based on molecular characteristics rather than traditional clinical criteria, thereby improving treatment effectiveness while managing complexity through systematic molecular analysis
Solution Approach 2:
The patent replaces the traditional mechanical approach of clinical diagnosis-based treatment selection with a molecular profiling approach. Instead of relying on clinical criteria and disease classification, the system uses molecular testing and analysis to identify individualized treatment regimens, substituting the conventional diagnostic mechanism with a molecular-based decision-making system
2Adaptability or versatility
If molecular profiling is performed on multiple targets including genes and proteins, then personalized treatment options increase, but the complexity and cost of testing increases
Solution Approach 1:
The patent applies universality by developing a comprehensive molecular profiling system that can simultaneously assess multiple targets (genes, proteins, molecular mechanisms) within a unified framework. The system uses a standardized set of molecular tests that can be applied across different disease states and patient populations, allowing versatile treatment personalization while managing testing complexity through a systematic multi-target approach
3Duration of action of stationary object
If traditional disease-specific treatments are used, then treatment protocols are well-established and easy to implement, but treatment options run out as patients progress through standard therapies
Solution Approach 1:
The patent introduces dynamics by transitioning from static, fixed disease-specific treatment protocols to dynamic, individualized treatment regimens based on molecular profiles. The system continuously monitors molecular findings and adjusts treatment recommendations accordingly, allowing treatment durability to be maintained through adaptive decision-making while managing implementation complexity through systematic molecular assessment
Data Source
AI summary
A system and method for determining individualized medical intervention for a particular disease state, and especially for cancers, that includes the molecular profiling of a biological sample from the patient, determining whether any molecular findings including one or more genes, one or more gene expressed proteins, one or more molecular mechanisms, and/or combinations of such exhibit a change in expression compared to a reference, and identifying a non-specific disease therapy or agent capable of interacting with the genes, gene expressed proteins, molecular mechanisms, or combinations of such molecular findings that exhibited a change in expression.