IL-2 Therapy Patient Selection via Tumor Molecular Markers
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Solution Overview
Problem
Current therapies for cancer, such as immune checkpoint inhibitors, often face resistance, and there is a need to better understand the mechanisms driving this resistance.
Innovation Solution
The use of Interleukin-2 (IL-2) therapy, combined with pre-treatment tumor molecular analysis, including RNA sequencing, to identify specific immune markers and myeloid inflammation markers that predict response to IL-2 therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If immune checkpoint inhibitors are used to treat cancer, then immune response is enhanced, but treatment resistance develops
Solution Approach 1:
The patent introduces IL-2 as an intermediary substance that mediates between the immune system and cancer cells. IL-2 acts as a signaling molecule that enhances T cell activation and proliferation, working in conjunction with checkpoint inhibitors to overcome resistance. The molecular markers identified (such as PD-1, PD-L1, CTLA-4) serve as intermediaries that indicate the immune microenvironment's responsiveness to therapy, allowing selection of patients who will benefit from IL-2 based treatment.
2Productivity
If IL-2 therapy is administered to all cancer patients, then potential responders are treated, but treatment specificity is reduced
Solution Approach 1:
The patent implements preliminary molecular analysis of tumor tissue before administering IL-2 therapy. By measuring the expression levels of specific markers (PD-1, PD-L1, CTLA-4, TGF-β, IFN-γ) in pretreatment biopsy samples, the method identifies patients who are most likely to respond to IL-2 therapy. This preliminary screening ensures that treatment is directed toward the right patients, improving both the precision of patient selection and the overall effectiveness of the therapy.
3Measurement precision
If molecular analysis is performed on all patients, then treatment prediction accuracy improves, but diagnostic complexity increases
Solution Approach 1:
The patent segments the complex molecular analysis into specific, targeted measurements of key markers rather than comprehensive genomic profiling. The focus is on measuring expression levels of a defined panel of markers (PD-1, PD-L1, CTLA-4, TGF-β, IFN-γ) that have been identified as most predictive of IL-2 response. This segmented approach maintains high prediction accuracy while reducing diagnostic complexity compared to whole-genome or transcriptome sequencing.
Data Source
AI summary
Described herein are methods for treating a cancer in a subject, the method comprising administering an IL-2 therapy to the subject, wherein in a sample from the subject, a set of markers has elevated expression or decreased expression.


