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Related Experiment Video

Updated: Oct 10, 2025

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

3D Visualization of the Dynamic Bidirectional Talk Between ER/PR and Her2 Pathways.

Jiahong Lyv¹, Guohua Yu², Yunyun Zhang¹

¹Yantai Quanticision Diagnostics, Inc, Yantai, P. R. China.

Technology in Cancer Research & Treatment

|December 13, 2021

Summary

Archived breast cancer tissues reveal a "seesaw" relationship between estrogen receptor (ER)/progesterone receptor (PR) and human epidermal growth factor receptor 2 (Her2) pathways. This finding supports bidirectional communication and suggests new therapeutic strategies.

Keywords:

FFPE QDB biomarker high throughput protein quantitation

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Last Updated: Oct 10, 2025

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Published on: December 5, 2017

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

Area of Science:

Oncology
Molecular Biology
Biomedical Research

Background:

Archived formalin-fixed paraffin-embedded (FFPE) human tumor tissues are valuable for cancer research but limited by protein analysis techniques.
Quantitative Dot Blot (QDB) is a novel, high-throughput immunoblot method developed to overcome limitations in analyzing FFPE tissues.
This study investigates the relationship between estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (Her2) pathways in breast cancer.

Purpose of the Study:

To explore the relationship between ER/PR and Her2 signaling pathways in breast cancer tumorigenesis using FFPE tissues.
To validate the quantitative dot blot (QDB) method for absolute and quantitative protein analysis in archived cancer specimens.
To visualize and analyze the distribution of ER, PR, and Her2 protein expression levels in a 3D space.

Main Methods:

A descriptive, observational, retrospective study involving 852 FFPE breast cancer tissues.
Absolute and quantitative measurement of ER, PR, Her2, and Ki67 protein levels using the QDB method.
3D scatterplot visualization of ER, PR, and Her2 expression levels to analyze specimen distribution.

Main Results:

A 'seesaw' relationship was observed between ER/PR and Her2 pathways, visualized in the 3D ER-PR-Her2 space.
Specimens showed distinct distribution patterns based on ER/PR and Her2 expression levels, with inverse correlations noted.
Ki67 levels were significantly reduced in specimens with high ER-PR expression, indicating an inverse relationship with proliferation.

Conclusions:

The observed specimen distribution supports bidirectional communication between ER/PR and Her2 pathways in breast cancer.
Findings suggest potential for exploring alternative clinical interventions targeting these pathways for breast cancer treatment.
The QDB method is demonstrated as an effective tool for analyzing protein expression in archived FFPE cancer specimens.