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Related Experiment Video

Updated: Jun 5, 2026

Detection of Aggregation-Prone Behavior in Mutant P53 V157F Breast Cancer Cells Using Multipoint Thioflavin T Fluorescence
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Detection of Aggregation-Prone Behavior in Mutant P53 V157F Breast Cancer Cells Using Multipoint Thioflavin T Fluorescence

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P-170 Glycoprotein (MDR) and p53 Expression in Breast Cancer.

M Ciaparrone1, D Terribile, G Curigliano

  • 1Institutes of General Pathology, Catholic Unversity School of Medicine, Rome, Italy Institutes of Surgical Pathology, and Morbid Anatomy, Giovanni XXIII Cancer Research Center, Catholic Unversity School of Medicine, Rome, Italy.

The Breast Journal
|January 13, 2011
PubMed
Summary

P-glycoprotein (P-gp) and p53 expression in breast cancer were analyzed. p53 overexpression correlated with P-gp positivity, suggesting a link between these markers and potential chemotherapy response.

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Yeast As a Chassis for Developing Functional Assays to Study Human P53
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Last Updated: Jun 5, 2026

Detection of Aggregation-Prone Behavior in Mutant P53 V157F Breast Cancer Cells Using Multipoint Thioflavin T Fluorescence
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Yeast As a Chassis for Developing Functional Assays to Study Human P53
14:57

Yeast As a Chassis for Developing Functional Assays to Study Human P53

Published on: August 4, 2019

Area of Science:

  • Oncology
  • Molecular Biology
  • Immunohistochemistry

Background:

  • P-glycoprotein (P-gp) is a transmembrane protein involved in multidrug resistance.
  • p53 is a tumor suppressor protein frequently mutated in cancer.
  • Understanding their expression in breast cancer is crucial for treatment strategies.

Purpose of the Study:

  • To comparatively analyze P-gp and p53 expression in breast cancer tissues.
  • To investigate the correlation between P-gp isoforms and p53 overexpression.
  • To explore the potential of P-gp isoform analysis in predicting chemotherapy response.

Main Methods:

  • Immunohistochemical analysis of P-gp (using C-219 and JSB-1 antibodies) and p53 (using DO-7 antibody) in 37 breast cancer specimens.
  • Correlation analysis with clinicopathological variables (age, TNM stage, histology, lymph node involvement, tumor size, hormone receptor status).

Main Results:

  • P-gp positivity was observed in 59.45% of tumors.
  • p53 overexpression was found in 59.45% of tumors.
  • Significant correlation found between p53 overexpression and P-gp positive immunostaining (p = .007).
  • p53 overexpression also correlated significantly with TNM stage and lymph node involvement.
  • P-gp expression did not correlate with other clinicopathological variables.

Conclusions:

  • Distinct P-gp isoform reactivity patterns were identified.
  • p53 overexpression is significantly associated with P-gp expression in breast cancer.
  • Immunohistochemical analysis of P-gp isoforms may help predict chemotherapy response.