The differential expression of Promyelocytic Leukemia (PML) and retinoblastoma (RB1) genes in breast cancer

Bondhopadhyay, Banashree; Sisodiya, Sandeep; Kasherwal, Vishakha; Nazir, Sheeraz Un; Khan, Asiya; Tanwar, Pranay; Dil-Afroze,; Singh, Neha; Rasool, Ishrat; Agrawal, Usha; Rath, Goutam; Mehrotra, Ravi; Hussain, Showket

doi:10.1016/j.mgene.2021.100852

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…The results obtained for our study also shows the down-regulation of RBA1 genes in breast cancer patients which is also confirmed by the results of another study by Bondhopadhyay in 2021 [45]. Similarly, frequent loss of the RB1 gene in metastatic cancers like breast and prostate cancers has also been confirmed by another study which agrees with our findings [46].…”

Section: Discussionsupporting

confidence: 92%

Study to Identify the Signalling Cascade behind Expression Level of PTEN and RB1 gene in Breast Cancer

2022

Rep GlobHealth Res

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Breast cancer is the second most prevalent cancer among Pakistani women and the disease burden of breast cancer is continuously uprising. There are several genes involved in breast cancer incidence. The current study was designed to analyze the gene expression level of hereditary onco-suppressive PTEN and RB1, proto-oncogenes i.e. Src and KRAS, and microRNA-140/145/238in breast cancer patients performed through qRT-PCR.Results showed significant up-regulation of proto-oncoSrc and KRAS genes (p<0.05). On the other hand, a significant down-regulation of hereditary onco-suppressive PTEN and RB1 genes while as, the micro RNA signalling cascade involvement through higher expression levels of MI-140, Mi-145, and Mi-238 was also observed (p<0.05). Biopsy samples were preserved in 10% formalin for histopathology as well as in Trizol for mRNA extraction. Histopathlogical examination showed multilayering, hyperplasia, and a complete distortion of ductal and glandular epithelium of breast gland in breast cancer patients.

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Section: Discussionsupporting

confidence: 92%

Study to Identify the Signalling Cascade behind Expression Level of PTEN and RB1 gene in Breast Cancer

2022

Rep GlobHealth Res

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Therapeutic effect of some natural active compounds for breast cancer

Gökalp

2022

Med Oncol

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Exploring the Application of Digital Twin Technology in Investigating the Relationship Between Contraceptive Use and Breast Cancer Incidence

Bondhopadhyay,

Bansal,

Aggarwal

et al. 2024

Advances in Medical Technologies and Clinical Practice

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Contraception has long been scrutinized for its impact on women's health, particularly concerning breast cancer risk. The study explores the analysis of digital twin (DT) tools and technologies. Leveraging DTs in healthcare, by integrating medical data and employing machine learning, predictive models can be developed, representing individual patients, assessing the influence of contraceptive methods on breast cancer risk. They may aid in finding associations between specific contraceptive methods and breast cancer incidence. DTs pave the way for the development of smart IUDs/IUSs, which can be termed as “cyclic-release” devices/systems, that could tailor progesterone release based on the phases of the female ovulation cycle, potentially enhancing effectiveness and minimizing side effects. Moreover, real-time monitoring in DTs offer insights into dynamic changes in risk profiles. Thus, DTs may help in personalized contraceptive counselling and preventive strategies, fostering better-informed decision-making and improved health outcomes for women worldwide.

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The differential expression of Promyelocytic Leukemia (PML) and retinoblastoma (RB1) genes in breast cancer

Cited by 3 publications

References 36 publications

Study to Identify the Signalling Cascade behind Expression Level of PTEN and RB1 gene in Breast Cancer

Study to Identify the Signalling Cascade behind Expression Level of PTEN and RB1 gene in Breast Cancer

Therapeutic effect of some natural active compounds for breast cancer

Exploring the Application of Digital Twin Technology in Investigating the Relationship Between Contraceptive Use and Breast Cancer Incidence

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