3D Ex Vivo Tumor Models for Predicting TTFields Response

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Solution Overview

Problem

Current methods for treating glioblastoma with Tumor Treating Fields (TTFields) face challenges in predicting patient response due to the difficulty in acquiring matched treatment-naïve and recurrent patient tissues, limiting the understanding of molecular effects and resistance mechanisms in humans.

Innovation Solution

The development of three reliable patient-derived 3-dimensional ex vivo models, including microtumors, organoids, and tumor slice cultures, which allow for the application of alternating electric fields to determine efficacy and identify biomarkers responsive to TTFields treatment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If matched treatment-naïve and recurrent patient tissues are acquired for studying TTFields effects, then molecular effects and resistance mechanisms can be investigated, but acquisition difficulty limits the availability of such tissues

Engineering Contradiction:
Improvereliability of treatment response predictionVSAvoidease of acquiring patient tissues
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent creates ex vivo 3D tumor models that copy the structural and functional characteristics of patient-derived tumors. These models include tumor spheroids, organoids, and patient-derived xenografts that replicate tumor architecture, cell-cell interactions, and molecular profiles, enabling reliable TTFields response prediction without requiring direct access to matched patient tissues at multiple time points

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent establishes ex vivo tumor models in advance before treatment initiation. These pre-established models allow researchers to study baseline tumor characteristics and predict treatment response before patients receive TTFields therapy, eliminating the need to acquire and process matched treatment-naïve and recurrent tissues separately

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If ex vivo 3D models are used to predict treatment response, then patient response prediction and molecular insights are improved, but model complexity and development requirements increase

Engineering Contradiction:
Improveloss of molecular and cellular informationVSAvoidcomplexity of ex vivo models
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the complex task of tumor modeling into distinct approaches: 2D monolayer cultures for basic molecular studies, 3D tumor spheroids for architectural insights, organoids for physiological relevance, and patient-derived xenografts for comprehensive in vivo modeling. Each segment addresses specific research questions while maintaining manageable complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transitions from traditional 2D cell culture models to 3D ex vivo models, adding a spatial dimension that recapitulates tumor architecture, cell-cell interactions, and microenvironmental cues. This dimensional change preserves molecular and cellular information that is lost in planar cultures while maintaining experimental tractability

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Manufacturing precision

If multiple frequencies of alternating electric field are applied to determine optimal treatment, then treatment efficacy is optimized, but testing time and resource requirements increase

Engineering Contradiction:
Improveprecision of treatment parameter optimizationVSAvoidtime for frequency optimization testing
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent applies a range of frequencies exceeding the clinical standard (e.g., testing 50-500 kHz beyond the typical 100-200 kHz range) to identify optimal frequencies for specific tumor types and models. This excessive action ensures comprehensive optimization while the ex vivo model format accelerates the process compared to clinical trial timelines

Inventive Principle:
Principle #16Partial or excessive action

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

These models enable the prediction of patient treatment response and provide insights into clinically relevant cellular and molecular alterations, optimizing TTFields therapy by identifying effective frequencies and potential biomarkers for personalized treatment.

Implementation Method 1

These alternating electric fields are applied to glioblastoma at 200 kHz frequency via arrays placed on the shaved scalp of patients

Methodology Applied
Scientific EffectElectromechanical stress:

Data Source

PatentUS20250101406A13D models for predicting treatment responses to alternating electric fields
Publication Date: 2025.03.27 NOVOCURE GMBH
  • US20250101406A1 patent drawing
  • US20250101406A1 patent drawing
  • US20250101406A1 patent drawing

AI summary

Disclosed are methods of determining the efficacy of an alternating electric field comprising applying an alternating electric field to one or more microtumors for a period of time, the alternating electric field having a frequency and field strength, wherein the microtumor comprises primary cancer cells; and determining the efficacy of the alternating electric field. Disclosed are methods of testing the efficacy of an alternating electric field comprising applying alternating electric fields to one or more organoids for a period of time, the alternating electric fields having a frequency and field strength, wherein the organoids are cultured on organotypic hippocampal slice cultures; and determining the efficacy of alternating electric fields. Disclosed are methods of testing the efficacy of alternating electric fields on a subject comprising culturing or incubating one or more tumor slices from the subject, applying alternating electric fields to the one or more tumor slices for a period of time, the alternating electric fields having a frequency and field strength, and determining the efficacy of alternating electric fields.