Endocrine Response Phenotypes Are Altered by Charcoal-Stripped Serum Variability
Matthew J Sikora1, Michael D Johnson1, Adrian V Lee1
1Women's Cancer Research Center (M.J.S., A.V.L., S.O.) and Department of Pharmacology and Chemical Biology (M.J.S., A.V.L., S.O.), University of Pittsburgh, Pittsburgh, Pennsylvania 15213; and Department of Oncology (M.D.J.), Georgetown University Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C. 20057.
Endocrinology
|July 27, 2016
Summary
Charcoal-stripped bovine serum (CSS) lot variability significantly impacts breast cancer cell endocrine responses. This variability can mask drug effects and alter interpretations of treatment resistance, affecting research reproducibility.
Area of Science:
- Endocrinology
- Cell Biology
- Cancer Research
Background:
- Charcoal-stripped bovine serum (CSS) is vital for steroid hormone research but exhibits lot-to-lot variability in residual growth factors and hormones.
- This variability poses challenges in assessing experimental outcomes and ensuring data reproducibility in endocrine studies.
Purpose of the Study:
- To investigate the impact of CSS lot variability on endocrine response and resistance phenotypes in breast cancer cells.
- To determine if differences in hormone deprivation levels in CSS affect cellular responses to antiestrogens.
Main Methods:
- Tested five individual CSS lots for their effects on endocrine response in MCF-7 and MDA MB 134VI (MM134) breast cancer cells.
- Defined CSS lots as complete or partial hormone deprivation based on antiestrogen effects on MCF-7 cell proliferation.
- Evaluated CSS preparation methods to identify factors influencing hormone deprivation levels.
Main Results:
- Partial hormone deprivation in CSS masked the effects of residual estrogens and altered tamoxifen's agonist activity in MM134 cells, reversing resistance interpretations.
- Variable CSS lots induced distinct early endocrine resistance phenotypes in MCF-7 cells, correlating with residual estrogenic hormone presence.
- Differences in CSS preparation contributed to the observed lot-to-lot variability in hormone deprivation.
Conclusions:
- CSS lot-to-lot variability substantially influences endocrine response and resistance phenotypes in breast cancer models.
- This variability is a critical confounding factor that can compromise the reproducibility of endocrine research.
- Standardized testing and reporting of CSS lot characteristics are essential for accurate interpretation and replication of endocrine study data.
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