HPV DNA Integration Pattern Classification via In Situ Hybridization

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Solution Overview

Problem

Current methods for analyzing HPV DNA integration patterns in cervical cancer tissues are inaccurate in distinguishing between episomal and multicopy tandem-repetition integrated forms, particularly in advanced stages of cervical cancer, limiting their ability to predict prognosis and tailor treatment effectively.

Innovation Solution

The method involves using in situ hybridization (ISH) to observe and classify HPV DNA integration patterns into episomal, single-copy integration, multicopy tandem-repetition, and non-observed patterns, allowing for more accurate prognosis analysis and individualized treatment approaches based on these classifications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If PCR method is used to detect HPV DNA integration patterns, then the presence of episomal or integrated HPV can be detected, but the method cannot accurately distinguish between different integration patterns (single-copy vs multicopy tandem-repetition) particularly in advanced cervical cancer stages

Engineering Contradiction:
Improvedetection accuracy of HPV DNA integration patternsVSAvoidability to distinguish integration patterns in advanced stages
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent segments the detection process into multiple stages: initial HPV detection, followed by classification into specific integration patterns (episomal, single-copy integrated, multicopy tandem-repetition integrated). This segmentation allows each pattern type to be identified with specific methodologies, improving overall detection precision for different cervical cancer stages

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimension of analysis by classifying HPV DNA not just as present/absent but by specific integration patterns (episomal, single-copy, multicopy tandem-repetition). This dimensional classification enables differentiation of integration patterns that traditional PCR cannot distinguish, particularly in advanced cervical cancer stages

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

2Productivity

If uniform therapy is applied to all cervical cancer patients, then treatment simplicity is maintained, but the complete cure rate and quality of life cannot be optimized for different risk groups

Engineering Contradiction:
Improvecomplete cure rateVSAvoidtreatment protocol complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies local quality by tailoring treatment protocols to specific HPV DNA integration patterns. Patients with episomal patterns receive different therapy (potentially less aggressive) compared to those with integrated patterns (requiring more aggressive treatment). This localized treatment approach optimizes cure rates while managing treatment complexity through clear classification criteria

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent changes the treatment parameter based on HPV DNA integration pattern classification. By using the integration pattern as a biomarker, the treatment intensity and type are adjusted accordingly, enabling personalized medicine approaches that improve complete cure rates without unnecessarily complicating treatment for all patients

Inventive Principle:
Principle #35Parameter changes

3Reliability

If high doses of radiation and anticancer agents are used to improve complete cure rate, then treatment effectiveness increases, but adverse effects and treatment complications increase

Engineering Contradiction:
Improvecomplete cure rateVSAvoidadverse effects of radiotherapy and anticancer agents
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent applies partial action by recommending reduced radiation and anticancer agent doses for patients with episomal HPV patterns who have lower risk of progression, while reserving full-dose aggressive therapy for patients with integrated patterns who require higher treatment intensity. This differential approach maintains complete cure rates for high-risk patients while reducing harmful effects for low-risk patients

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

This approach enables precise prediction of cervical cancer prognosis and treatment outcomes, improving survival rates and reducing treatment complications by tailoring radiation and anticancer agent use based on specific HPV DNA integration patterns.

Implementation Method 1

The method involves using in situ hybridization (ISH) to observe and classify HPV DNA integration patterns

Methodology Applied
Scientific EffectHybridization:

Data Source

PatentUS10378047B2Method for prediction of prognosis by human papillomavirus DNA integration pattern
Publication Date: 2019.08.13 NATIONAL CANCER CENTER(JP)
  • US10378047B2 patent drawing
  • US10378047B2 patent drawing
  • US10378047B2 patent drawing

AI summary

Provided is a method for analyzing the prognosis of cervical cancer according to the human papillomavirus (HPV) DNA integration pattern. The method of analyzing the prognosis of cervical cancer according to the human papillomavirus DNA integration pattern of the present invention enables an observation of the HPV DNA integration pattern with accuracy and convenience via in situ hybridization (ISH) compared to qPCR analysis. Since the prognosis of cervical cancer having the tumors with an episomal pattern and an integrated pattern can be significantly distinguished when the HPV DNA integration patterns are classified by the above method, the survival rate after radiotherapy of cervical cancer, and in particular invasive cervical cancer, can be more accurately analyzed.