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Related Experiment Video

Updated: May 10, 2025

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
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Relationship between breast tissue involution and breast cancer.

Wenjing Li1, Xian Zhao1, Qinyu Han1

  • 1Department of Breast Center, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, China.

Frontiers in Oncology
|April 22, 2025
PubMed
Summary

Breast tissue involution, the natural decrease in mammary gland tissue with age, is linked to breast cancer (BC) risk. Complete involution correlates with lower BC risk, while high mammographic density indicates increased risk.

Keywords:
TDLUbreast cancerbreast densitybreast involutionmammary gland

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Area of Science:

  • Oncology
  • Radiology
  • Gerontology

Background:

  • Breast tissue involution is a natural aging process where mammary gland epithelial tissue diminishes.
  • The relationship between breast tissue involution and breast cancer (BC) risk is a growing area of research.
  • Mammographic density (MD) may serve as an indirect indicator of breast tissue involution.

Purpose of the Study:

  • To explore the association between breast tissue involution and breast cancer risk.
  • To review the biological process of breast tissue involution.
  • To elaborate on the connection between mammographic density and breast cancer.

Main Methods:

  • Literature review synthesizing existing research on breast tissue involution and BC.
  • Analysis of the relationship between mammographic density and breast cancer incidence.
  • Exploration of breast tissue involution as a potential risk factor for breast cancer.

Main Results:

  • Women with complete breast tissue involution exhibit a reduced risk of developing breast cancer.
  • Higher mammographic density is associated with a relatively greater risk of breast cancer.
  • Mammographic density may reflect the degree of breast tissue involution, aiding in risk stratification.

Conclusions:

  • Breast tissue involution is a significant factor influencing breast cancer risk.
  • Mammographic density is a valuable imaging parameter for assessing breast cancer risk.
  • Understanding involution patterns can help classify screening priorities for breast cancer.