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A Study of p53 Immunostaining in Breast Carcinomas: Correlation with Histopathological PrognosticFactors

Sapna Patel M.C., Aninditha Saha, Harish Srikantegowda

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Indian Journal of Forensic Medicine and Pathology 16(4):p 267-278, October-December 2023. | DOI: https://doi.org/10.21088/ijfmp.0974.3383.16423.6

How Cite This Article:

Saha A, Patel MC, Srikantegowda H. A study of p53 immunostaining in breast carcinomas: correlation with histopathological prognostic factors. Indian J Forensic Med Pathol. 2023;16(4):267-278.

Timeline

Received : July 20, 2023         Accepted : December 15, 2023          Published : December 31, 2023

Abstract

Breast cancer is the most common cancer in women worldwide and 2nd common cancer after cervix in India. Presence of p53 gene alteration like loss of function p53 mutants correlate with poor prognosis and tend to be more frequent in high grade, large size, node positive, and in estrogen-progesterone receptor negative (ER-, PR-) tumors, suggesting that mutant p53 may become increasingly critical for breast cancer progression. To determine the frequency of expression of p53 immunostaining (IHC) in breast carcinomas and to correlate its relationship with tumor size, histological grade, lymph node status and with hormonal receptors status wherever possible. Sixty-fi ve breast carcinoma cases were studied for various clinicopathological parameters like tumor size, histological type, grade, axillary lymph node status, lympho vascular invasion, in situ component, Nipple areola complex, deep resected margin involvement, Nottingham Prognostic Index (NPIG) and subjected to p53 immunostaining. 37 out of 65 cases were studied for ER, PR, Human Epidermal Growth Factor Receptor 2 (HER2/ neu) antibodies. p53 expression was correlated with known prognostic factors. Furthermore, autopsy studies can be used as supplement to know the disease reservoir. p53 positivity was found in 72.3% of breast carcinomas with signifi cant association between p53 expression with histological grade (p-value = 0.013) and Nottingham Prognostic Index Groups (NPIG) (p-value = 0.011). No signifi cant correlation was seen between p53 expression and tumor size, lymph node status, hormonal receptor (ER, PR) status and HER2/neu expression. Our study revealed that the higher the tumor grade, the higher the p53 expression and its association with NPIG. Thus, p53 can be considered as a prognostic marker and useful for management.


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Data Sharing Statement

There are no additional data available. All raw data and code are available upon request.

Funding

This research received no funding.

Author Contributions

All authors contributed significantly to the work and approve its publication.

Ethics Declaration

This article does not involve any human or animal subjects, and therefore does not require ethics approval.

Acknowledgements

We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.

Conflicts of Interest

No conflicts of interest in this work.


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Cite this article

Saha A, Patel MC, Srikantegowda H. A study of p53 immunostaining in breast carcinomas: correlation with histopathological prognostic factors. Indian J Forensic Med Pathol. 2023;16(4):267-278.


Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator


Received Accepted Published
July 20, 2023 December 15, 2023 December 31, 2023

DOI: https://doi.org/10.21088/ijfmp.0974.3383.16423.6

Keywords

Breast carcinomaImmunohistochemistryp53Nottingham Prognostic Index Groups

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Received July 20, 2023
Accepted December 15, 2023
Published December 31, 2023

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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator


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