Tumor Molecular Profiling for Personalized Cancer Treatment Selection

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Solution Overview

Problem

Existing treatment regimens for diseases, particularly refractory and metastatic cancers, often overlook effective therapies due to a lack of personalized molecular profiling, leading to limited treatment options and low response rates in clinical trials.

Innovation Solution

Molecular profiling methods, including immunohistochemistry, microarray analysis, fluorescent in-situ hybridization, and DNA sequencing, are used to identify candidate treatments by analyzing protein and gene expression profiles, comparing them against a rules database to determine biological activity and compatibility with specific cancer types.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If treatment regimens are selected based on clinical criteria alone, then the treatment selection process is simple and quick, but effective treatments may be overlooked and treatment options are limited

Engineering Contradiction:

Improvetreatment selection speedVSAvoidtreatment option diversity

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The treatment selection process is segmented into multiple independent profiling dimensions: molecular profiling (genes, proteins, metabolites), clinical characterization (diagnosis, treatment history, demographics), and treatment response profiling. Each dimension is evaluated separately through specialized assays, then integrated to generate comprehensive treatment recommendations, allowing both speed and comprehensiveness

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If molecular profiling is performed on multiple biomarkers, then treatment accuracy and effectiveness are improved, but the complexity of the profiling process increases

Engineering Contradiction:

Improvetreatment selection accuracyVSAvoidprofiling process complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The molecular profiling is segmented into distinct assay modules: gene expression analysis, protein expression analysis, and metabolite profiling. Each module uses specialized techniques (microarrays, immunohistochemistry, mass spectrometry) to analyze specific biomarker categories independently, then results are integrated through a rules database that maps biomarker patterns to treatment responses

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The profiling system is designed to be universally applicable across multiple cancer types and treatment stages. The same integrated framework analyzes diverse biomarkers (genes, proteins, metabolites) using unified computational rules, allowing the system to handle various tumor types without requiring separate specialized analyses for each

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Ease of operation

If standard therapies are used for refractory and metastatic cancer, then treatment delivery is straightforward, but response rates are low and treatment options are exhausted

Engineering Contradiction:

Improvetreatment administration simplicityVSAvoidtreatment response rate

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

Molecular and clinical profiling is performed in advance before treatment selection to identify the most effective therapy in advance. The rules database pre-establishes mappings between biomarker profiles and optimal treatments, allowing rapid selection without requiring complex real-time decision-making during treatment administration

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback from treatment response data to refine future profiling and selection. By analyzing which treatments respond best to specific molecular and clinical profiles, the rules database is continuously updated to improve treatment recommendation accuracy, creating a learning loop that enhances future treatment selection

Inventive Principle:

Principle #23Feedback

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 identifies personalized treatment options that can extend progression-free survival, disease-free survival, and overall survival, offering viable alternatives when standard therapies fail, with potential extensions of up to 5 years or more.

Implementation Method 1

performing an immunohistochemistry (IHC) analysis on a sample from the subject to determine an IHC expression profile on at least five proteins

Methodology Applied

Scientific EffectImmunohistochemistry:

Implementation Method 2

performing a microarray analysis on the sample to determine a microarray expression profile on at least ten genes

Methodology Applied

Scientific EffectHybridization:

Implementation Method 3

performing a fluorescent in-situ hybridization (FISH) analysis on the sample to determine a FISH mutation profile on at least one gene

Methodology Applied

Scientific EffectFluorescent in-situ hybridization:

Implementation Method 4

performing DNA sequencing on the sample to determine a sequencing mutation profile on at least one gene

Methodology Applied

Scientific EffectDNA sequencing:

Data Source

PatentUS20260036600A1Molecular profiling of tumors

Publication Date: 2026.02.05 CARIS MPI INC

AI summary

Provided herein are methods and systems of molecular profiling of diseases, such as cancer. In some embodiments, the molecular profiling can be used to identify treatments for a disease, such as treatments that were not initially identified as a treatment for the disease or not expected to be a treatment for a particular disease.