Neo-Epitope Biomarker Assay for Stroma-Rich Tumor Detection

Solution Overview

Problem

Current biomarkers are inadequate for non-invasively identifying patients with cancers characterized by a stroma- and cancer-associated fibroblast-rich tumor microenvironment, such as pancreatic cancer, and for predicting response and survival outcomes for immune checkpoint inhibitor therapy.

Innovation Solution

Development of an enzyme-linked immunosorbent assay (ELISA) targeting the C-terminus neo-epitope generated by enzymatic cleavage of the N-terminal pro-peptide of the α1-chain of type XI collagen at A′511↓, using a monoclonal antibody that specifically binds to the C-terminus amino acid sequence DGSKGPTISA, for detecting and quantifying the biomarker in biofluids to assess disease severity and prognosis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If current biomarkers are used for non-invasive detection, then detection can be performed minimally invasively, but the ability to identify patients with stroma-rich tumors and predict immune checkpoint inhibitor response is insufficient

Engineering Contradiction:
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The invention changes the biomarker parameter from general collagen markers (PRO-C3, PRO-C1) to a specific neo-epitope marker (PRO-C11-511) generated by cleavage at position 511 of the N-terminal pro-peptide of the α1-chain of type XI collagen. This parameter change enables the assay to specifically detect fibroblast-derived collagen in stroma-rich tumors and predict immune checkpoint inhibitor response with high accuracy

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention extracts and targets a specific neo-epitope region (C-terminus amino acid sequence DGSKGPTISA) generated by enzymatic cleavage of the pro-peptide. By focusing on this specific extracted region rather than the entire collagen molecule, the assay achieves high specificity for fibroblast-derived collagen and improved predictive capability for ICI therapy response

Inventive Principle:
Principle #2Taking out (Extraction)

2Loss of information

If existing collagen biomarkers are used, then some information about collagen turnover can be obtained, but specific information about fibroblast-derived collagen and tumor stroma activity is lost

Engineering Contradiction:
Core Design Contradiction:
Loss of informationVSMeasurement precision

Solution Approach 1:

The invention applies local quality by targeting a specific local region (the C-terminus neo-epitope at position 511) of the collagen pro-peptide that is uniquely generated by fibroblast-derived collagen processing. This localized targeting provides specific information about fibroblast activity in the tumor stroma, distinguishing it from other collagen sources

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The invention uses a monoclonal antibody as an intermediary that specifically recognizes the neo-epitope sequence DGSKGPTISA. This antibody mediator enables selective detection of the cleaved pro-peptide fragment, translating the biological information about fibroblast collagen processing into a measurable signal with high specificity

Inventive Principle:
Principle #24Intermediary (Mediator)

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

The ELISA assay demonstrates prognostic value in patients with pancreatic cancer, chronic pancreatitis, and metastatic melanoma, providing a predictive marker for overall survival and treatment response, with high specificity and sensitivity in clinical evaluations.

Implementation Method 1

using a monoclonal antibody that specifically binds to the C-terminus amino acid sequence DGSKGPTISA, for detecting and quantifying the biomarker in biofluids

Methodology Applied
Scientific EffectAntigen-antibody binding:

Implementation Method 2

Development of an enzyme-linked immunosorbent assay (ELISA) targeting the C-terminus neo-epitope generated by enzymatic cleavage

Methodology Applied
Scientific EffectImmunoassay separation:

Implementation Method 3

enzymatic cleavage of the N-terminal pro-peptide of the α1-chain of type XI collagen at A′511↓

Methodology Applied
Scientific EffectProteolytic cleavage: Enzyme

Data Source

PatentUS20240085428A1Assay for Detecting Collagen XI Biomarkers
Publication Date: 2024.03.14
  • US20240085428A1 patent drawing
  • US20240085428A1 patent drawing
  • US20240085428A1 patent drawing

AI summary

Disclosed herein are monoclonal antibodies that specifically recognise and bind to a C-terminus of a peptide that is the C-terminus neo-epitope formed on cleavage of the N-terminal pro-peptide of the α1-chain of type XI collagen at A′511↓, and immunoassay methods and kits using and containing the antibodies. The immunoassay methods may be used for detecting and/or monitoring and/or assessing the severity or prognosis of diseases, such as, but not limited to, cancer.