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Time-lapse Imaging of Primary Preneoplastic Mammary Epithelial Cells Derived from Genetically Engineered Mouse Models of Breast Cancer

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Published on: February 8, 2013

Compact breast parenchyma: imaging and transcriptomic correlates.

Joanna N Modi¹, Dyutika Kantamneni², Kathleen M Capaccione³

¹Department of Pathology and Cell Biology, Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA.

Journal of Translational Medicine

|May 30, 2026

Summary

This summary is machine-generated.

This study reveals distinct gene expression in breast tissue based on compactness. Less compact tissue shows immune suppression markers, while more compact tissue is linked to cholesterol pathways, offering new insights into breast cancer risk.

Keywords:

Breast cancer risk Breast compactness Breast density Fibrosis microCT

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Area of Science:

Oncology
Genomics
Biochemistry

Background:

Breast cancer is a leading cause of death for US women.
High mammographic density is a significant risk factor.
Tissue compactness is a novel metric for breast tissue density.

Purpose of the Study:

To investigate transcriptomic differences between more and less compact breast tissue.
To identify genes associated with tissue compactness.

Main Methods:

RNA sequencing was performed on paired breast tissue samples.
Three individuals' paired more and less-compact tissues were analyzed.

Main Results:

Eight differentially expressed genes were identified.
Less compact tissue showed upregulation of immunosuppressive genes, suggesting a role for regulatory T cells.
More compact tissue was enriched for cholesterol homeostasis genes, potentially promoting cancer metastasis.

Conclusions:

This research highlights transcriptomic distinctions between breast tissue compactness levels.
Findings contribute to understanding molecular differences related to breast cancer risk.