Clinicopathological implications of genetic and immunohistochemical expression of S100A8, S100A9 and TLR5 in breast carcinoma
Autor: | Walaa Samy, Noha F. Elaidy, Mohamed I. Abdelhamid, Hanaa A. Atwa |
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Rok vydání: | 2022 |
Předmět: |
Oncology
medicine.medical_specialty medicine.diagnostic_test business.industry Obstetrics and Gynecology medicine.disease medicine.disease_cause S100A9 Metastasis S100A8 Immune system Internal medicine Biopsy medicine Immunohistochemistry Radiology Nuclear Medicine and imaging Surgery business Breast carcinoma Carcinogenesis |
Zdroj: | Revista de Senología y Patología Mamaria. 35:87-93 |
ISSN: | 0214-1582 |
DOI: | 10.1016/j.senol.2021.06.002 |
Popis: | Introduction Breast carcinoma (BC) is one of the most common cancer-related mortality among women worldwide. S100A9 and S100A8 are calcium-binding proteins involved in BC metastasis. Toll-like receptors (TLRs) are membrane-bound proteins that play a vital role in immune systems and carcinogenesis through inflammatory cytokines. Objectives We aimed to evaluate of S100A8, S100A9 and TLR5 in breast carcinoma by IHC, their gene expression by PCR and investigate their correlation with clinicopathological characters and hormone status. Materials and methods This study was done in Biochemistry & Molecular Biology and Pathology Departments, Zagazig University, Egypt. Biopsy was taken from 72 patients with invasive breast carcinoma cases admitted to Surgery Department, Zagazig University, between January 2018 and January 2021. 72 breast biopsies were obtained from adjacent normal breast (as a control). IHC, gene expression by q real-time PCR using S100A8, S100A9 and TRL5. Results Positive S100A8, S100A9, TLR5 were 81.9%, 76.4%, 86.1% respectively with statistically significant association between advanced stage, presence of lymph node metastasis, ER.PR status and HER2 negative expression. Conclusiones Based on our findings, we postulated that S100A8, S100A9, TLR5 play an important role in progression of BC and can be used as novel molecular targets for earlier BC detection and prediction for future therapies in breast carcinoma. |
Databáze: | OpenAIRE |
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