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Related Concept Videos

The Tumor Microenvironment02:17

The Tumor Microenvironment

Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...

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Related Experiment Video

Updated: May 26, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
09:29

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Published on: March 20, 2020

Integrated Collagen Architecture and Composition Improve Risk Stratification in Triple-Negative Breast Cancer.

Resul Ozbilgic1, Berfin Dinc2, Kavya Vipparthi1

  • 1Department of Cancer Sciences, Cleveland Clinic, Cleveland, OH, USA.

Biorxiv : the Preprint Server for Biology
|May 25, 2026
PubMed
Summary
This summary is machine-generated.

Quantitative collagen analysis in triple-negative breast cancer (TNBC) predicts patient recurrence and survival. This extracellular matrix phenotyping offers a scalable approach to improve risk stratification for TNBC patients.

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Related Experiment Videos

Last Updated: May 26, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
09:29

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Published on: March 20, 2020

Quantifying Fibrillar Collagen Organization with Curvelet Transform-Based Tools
07:58

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Published on: November 11, 2020

Preparation of 3D Collagen Gels and Microchannels for the Study of 3D Interactions In Vivo
10:24

Preparation of 3D Collagen Gels and Microchannels for the Study of 3D Interactions In Vivo

Published on: May 9, 2016

Area of Science:

  • Computational pathology
  • Tumor microenvironment analysis
  • Biomarker discovery

Background:

  • Triple-negative breast cancer (TNBC) presents significant clinical heterogeneity with unpredictable outcomes.
  • Standard clinicopathologic variables inadequately capture prognostic differences in TNBC.
  • Intratumoral collagen's role in TNBC progression is an area for further investigation.

Purpose of the Study:

  • To determine if quantitative collagen architecture and composition from histopathology predict TNBC recurrence and survival.
  • To assess the prognostic value of intratumoral collagen features in TNBC.
  • To explore novel computational pathology approaches for TNBC risk stratification.

Main Methods:

  • Retrospective analysis of 79 TNBC tumors using a computational pathology framework.
  • Integration of Masson's Trichrome staining with COL1 and COL3 immunohistochemistry.
  • Quantification of collagen architecture via image analysis and COL3:COL1 ratio for composition.

Main Results:

  • Four distinct collagen architectural states were identified, categorized into low- and high-risk groups.
  • High-risk collagen architecture correlated with significantly worse recurrence-free interval (RFI).
  • A higher COL3:COL1 ratio was independently associated with improved overall survival (OS).

Conclusions:

  • Quantitative collagen assessment provides clinically meaningful prognostic information in TNBC.
  • Extracellular matrix phenotyping offers a practical and scalable method for refining TNBC risk assessment.
  • Collagen-based biomarkers can identify high-risk TNBC subgroups not predicted by tumor stage alone.