Next-Generation EGFR Exon 20 Insertion Mutant Targeting Therapies and Diagnostics

Publication ID: 24-11857513_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation EGFR Exon 20 Insertion Mutant Targeting Therapies and Diagnostics,” Published Technical Disclosure No. 24-11857513_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857513_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,513.

Summary of the Inventive Concept

The inventive concept envisions a paradigm shift in EGFR exon 20 insertion mutant-driven cancer treatment and diagnosis, integrating genomics, machine learning, and precision medicine to develop more effective and personalized therapies.

Background and Problem Solved

The original patent disclosed a method for treating malignant lung tumors with EGFR exon 20 insertion mutations. However, this approach has limitations, such as the need for better predictive tools and more targeted therapies. The new inventive concept addresses these limitations by introducing a systems approach that combines genomics analysis, machine learning, and precision medicine to develop more effective and personalized therapies.

Detailed Description of the Inventive Concept

The inventive concept comprises multiple components: 1) a genomics analysis module for identifying EGFR mutations, 2) a machine learning module for predicting responsiveness to therapies based on identified mutations, 3) a therapeutic selection module for recommending personalized therapies, 4) a composition for treating EGFR exon 20 insertion mutant-driven cancers using small molecule inhibitors and nanoparticle delivery systems, and 5) a system for monitoring cancer progression using circulating tumor DNA analysis and machine learning-based prediction. These components enable the development of novel EGFR exon 20 insertion mutant-targeting compounds, personalized neo-antigens for cancer immunotherapy, and more effective treatment strategies.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift by integrating genomics, machine learning, and precision medicine to develop more effective and personalized therapies. The use of machine learning-based virtual screening approaches, nanoparticle delivery systems, and circulating tumor DNA analysis modules are novel and non-obvious compared to the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, varying nanoparticle delivery systems, or incorporating additional biomarkers for predicting responsiveness to therapies. These variations would ensure broad conceptual coverage and adaptability to emerging technologies.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the pharmaceutical and biotechnology industries, particularly in the development of targeted cancer therapies and companion diagnostics. The market for EGFR exon 20 insertion mutant-targeting therapies is expected to grow substantially in the next decade, driven by the increasing incidence of lung cancer and the need for more effective treatment options.

CPC Classifications

SectionClassGroup
A A61 A61K31/519
A A61 A61P35/00

Field of Art

Oncology, molecular biology, and pharmaceutical therapeutics, with specific focus on targeted cancer treatments involving EGFR mutation analysis and inhibition

Person of Ordinary Skill (PHOSITA) Profile

A researcher with advanced degrees in molecular biology or pharmacology, experienced in cancer therapeutics, genomic analysis, machine learning applications in precision medicine, and drug development strategies

Obviousness Rationale

A PHOSITA would recognize that the published technical disclosure represents a natural progression of EGFR exon 20 insertion mutation research, integrating known techniques in genomic analysis, machine learning, and targeted drug delivery to enhance personalized cancer treatment approaches. The variations represent predictable combinations of existing technologies within the established framework of precision oncology. The systematic approach of identifying mutations, predicting responsiveness, and developing targeted therapies follows a logical and expected evolutionary path in cancer treatment research.

Obvious Combinations & Variations

Source Patent Element
Method for detecting EGFR exon 20 insertion mutations in lung tumors
PTD Variation
Machine learning-enhanced genomic analysis module for mutation identification and predictive responsiveness
Obviousness Reasoning
Applying machine learning to mutation detection is a predictable technological advancement in precision medicine, representing an obvious extension of existing diagnostic techniques
Source Patent Element
Targeted treatment of malignant lung tumors with specific EGFR mutations
PTD Variation
Nanoparticle delivery systems for selective small molecule inhibitor targeting
Obviousness Reasoning
Drug delivery optimization through nanoparticle technologies is a known approach in pharmaceutical development, representing a routine design choice for improving therapeutic efficacy
Source Patent Element
Identification of specific EGFR exon 20 insertion mutations
PTD Variation
Generation of personalized neo-antigen libraries for immunotherapy
Obviousness Reasoning
Translating genetic mutation data into immunotherapeutic strategies is a foreseeable application of genomic research, utilizing standard techniques in cancer immunology
Source Patent Element
Treatment method for lung tumors with EGFR mutations
PTD Variation
Circulating tumor DNA analysis for continuous cancer progression monitoring
Obviousness Reasoning
Non-invasive monitoring techniques using liquid biopsy represent an expected technological progression in cancer diagnostics and personalized medicine
Source Patent Element
Specific EGFR mutation targeting approach
PTD Variation
Machine learning-based virtual screening for novel compound identification
Obviousness Reasoning
Computational approaches for drug discovery are standard practice, representing an obvious application of computational technologies to pharmaceutical research
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in the published technical disclosure (PTD) would have been obvious to a person having ordinary skill in the art at the time of invention, as they represent predictable combinations of known techniques in precision oncology, building upon the foundational teachings of US Patent 11857513 through routine innovation and technological integration in EGFR mutation research and treatment strategies.

Original Patent Information

Patent NumberUS 11,857,513
TitleSelective inhibitor of exon 20 insertion mutant EGFR
Assignee(s)TAIHO PHARMACEUTICAL CO., LTD.