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A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies
Published on: September 23, 2014
Soy consumption and histopathologic markers in breast tissue using tissue microarrays
Gertraud Maskarinec1, Eva Erber, Martijn Verheus
1Cancer Research Center of Hawaii, Honolulu, Hawaii 96813, USA. gertraud@crch.hawaii.edu
Nutrition and Cancer
|October 20, 2009
Summary
Soy intake does not appear to negatively impact breast tissue proliferation markers. Early soy consumption was linked to lower HER2/neu and PCNA in malignant tissue, offering reassurance for soy consumers.
Area of Science:
- Oncology
- Endocrinology
- Nutritional Science
Background:
- Soy consumption is common, and its effects on breast health are of significant interest.
- Hormonal and proliferation markers in breast tissue are crucial indicators of breast cancer risk and progression.
Purpose of the Study:
- To investigate the association between soy intake and key hormonal and proliferation markers in both benign and malignant breast tissue.
- To assess if soy consumption, particularly in early life, influences these markers.
Main Methods:
- Utilized tissue microarrays (TMAs) from 268 breast cancer cases, including benign and malignant samples.
- Assessed soy intake via questionnaire and analyzed tissue markers (ER alpha, ERbeta, PR, HER2/neu, PCNA, Ki-67) using immunohistochemistry.
- Employed logistic regression for statistical analysis of marker expression in relation to soy intake.
Main Results:
- Malignant tissue generally showed higher marker expression than benign tissue.
- No significant associations were found between soy intake and most markers, except for HER2/neu.
- Early life soy intake was associated with reduced HER2/neu and PCNA staining in malignant tissue and increased ER and PR in benign tissue.
Conclusions:
- Soy intake does not appear to adversely affect breast tissue proliferation markers.
- Early life soy intake may have specific associations with certain hormonal and proliferation markers.
- Tissue microarrays (TMAs) are effective tools for epidemiological research in breast cancer.
