Rel-A/PACER/miR 7 Axis May Play a Role in Radiotherapy Treatment in Breast Cancer Patients


Journal

Iranian biomedical journal
ISSN: 2008-823X
Titre abrégé: Iran Biomed J
Pays: Iran
ID NLM: 9814853

Informations de publication

Date de publication:
01 07 2023
Historique:
aheadofprint: 08 05 2023
medline: 29 8 2023
pubmed: 29 7 2023
entrez: 28 7 2023
Statut: epublish

Résumé

Radiotherapy has become the standard form of treatment for breast cancer (BC). Radioresistance is an issue that limits the effectiveness of radiotherapy (RT). Therefore, predictive biomarkers are needed to choose the appropriate RT for the patient. Activation of the proinflammatory transcription factor, nuclear factor-kappa B (NF-κB), is a frequently noted pathway in BC. Investigating the relationship between RT and alterations in gene expression involved in the immune pathway can help better control the disease. This research investigated the impact of RT on the expression levels of Rel-A, PACER, and miR-7 within the NF-κB signaling pathway. Blood samples (n = 15) were obtained from BC patients during four different time intervals: 72 hours prior to initiating RT, as well as one, two, and four weeks following RT completion. Samples were also collected from 20 healthy women who had no immune or cancer-related diseases. Blood RNA was extracted, and complementary DNA was synthesized. Gene expression level was determined using R real-time polymerase chain reaction (RT-PCR). There was a significant difference in the expression level of Rel-A between patients and normal individual blood samples (p < 0.05). After four weeks of RT, qRT-PCR revealed a significant downregulation of miR-7 and upregulation of Rel-A and PACER in BC patients. Also, there was a significant association between Rel-A expression and monocyte numbers during RT (p < 0.001). The expression level of PACER, miR-7 and Rel-A, changed after RT; therefore, these genes could be used as diagnostic and therapeutic RT markers in BC.

Sections du résumé

Background
Radiotherapy has become the standard form of treatment for breast cancer (BC). Radioresistance is an issue that limits the effectiveness of radiotherapy (RT). Therefore, predictive biomarkers are needed to choose the appropriate RT for the patient. Activation of the proinflammatory transcription factor, nuclear factor-kappa B (NF-κB), is a frequently noted pathway in BC. Investigating the relationship between RT and alterations in gene expression involved in the immune pathway can help better control the disease. This research investigated the impact of RT on the expression levels of Rel-A, PACER, and miR-7 within the NF-κB signaling pathway.
Methods
Blood samples (n = 15) were obtained from BC patients during four different time intervals: 72 hours prior to initiating RT, as well as one, two, and four weeks following RT completion. Samples were also collected from 20 healthy women who had no immune or cancer-related diseases. Blood RNA was extracted, and complementary DNA was synthesized. Gene expression level was determined using R real-time polymerase chain reaction (RT-PCR).
Results
There was a significant difference in the expression level of Rel-A between patients and normal individual blood samples (p < 0.05). After four weeks of RT, qRT-PCR revealed a significant downregulation of miR-7 and upregulation of Rel-A and PACER in BC patients. Also, there was a significant association between Rel-A expression and monocyte numbers during RT (p < 0.001).
Conclusion
The expression level of PACER, miR-7 and Rel-A, changed after RT; therefore, these genes could be used as diagnostic and therapeutic RT markers in BC.

Identifiants

pubmed: 37507347
doi: 10.52547/ibj.3901
pmc: PMC10507291
doi:

Substances chimiques

NF-kappa B 0
MicroRNAs 0
MIRN7 microRNA, human 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

173-82

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Auteurs

Shokri Fazlollah (S)

Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.

Mozdarani Hossein (M)

Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.

Omrani Mir Davood (O)

Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

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Classifications MeSH