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Ki-67 Expression in a Cervical Cancer Organotypic Model Correlates with Growth and EGF-R Expression
P A DiSilvestro1, S A Lightfoot, D M Benbrook
1Department of Obstetrics and Gynecology and Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK.
Journal of Lower Genital Tract Disease
|May 8, 2015
Summary
Retinoid treatment significantly inhibited Ki-67 expression in cervical carcinoma organotypic cultures. This inhibition correlated with reduced growth and epidermal growth factor receptor (EGF-R) expression, indicating retinoids
Area of Science:
- Oncology
- Molecular Biology
- Cell Biology
Background:
- Cervical carcinoma is a significant global health concern.
- Retinoids are known to influence cell differentiation and proliferation.
- Ki-67 is a biomarker for cell proliferation, and EGF-R is implicated in cancer growth.
Purpose of the Study:
- To evaluate the impact of retinoid treatment on Ki-67 expression in a cervical carcinoma organotypic model.
- To investigate the correlation between retinoid-induced changes in Ki-67 expression and alterations in cell growth and EGF-R expression.
Main Methods:
- Organotypic cultures of cervical carcinoma cells were treated with all-trans retinoic acid or 9-cis retinoic acid for seven days.
- Ki-67 expression was quantified using immunohistochemistry and light microscopy.
- Previous data on growth and EGF-R expression inhibition were utilized for correlation analysis.
Main Results:
- Treatment with 9-cis retinoic acid resulted in a 25% inhibition of Ki-67 expression.
- All-trans retinoic acid treatment led to a 32% inhibition of Ki-67 expression.
- Significant inhibition of EGF-R expression (44-45%) and cell growth (49-63%) was previously observed.
Conclusions:
- Retinoid treatment effectively inhibits Ki-67 expression in cervical carcinoma organotypic cultures.
- A strong positive correlation (R = 0.88) exists between retinoid-induced inhibition of Ki-67, EGF-R expression, and growth.
- These findings demonstrate retinoids' quantifiable effects on both membrane receptors and nuclear proteins in this model.

