Molecular markers associated with the outcome of tamoxifen treatment in estrogen receptor-positive breast cancer patients: scoping review and in silico analysis

AbstractTamoxifen (TMX) is used as adjuvant therapy for estrogen receptor-positive (ER+) breast cancer cases due to its affinity and inhibitory effects. However, about 30% of cases show drug resistance, resulting in recurrence and metastasis, the leading causes of death. A literature review can help to elucidate the main cellular processes involved in TMX resistance. A scoping review was performed to find clinical studies investigating the association of expression of molecular markers profiles with long-term outcomes in ER+ patients treated with TMX. In silico analysis was performed to assess the interrelationship among the selected markers, evaluating the joint involvement with the biological processes. Forty-five studies were selected according to the inclusion and exclusion criteria. After clustering and gene ontology analysis, 23 molecular markers were significantly associated, forming three clusters of strong correlation with cell cycle regulation, signal transduction of proliferative stimuli, and hormone response involved in morphogenesis and differentiation of mammary gland. Also, it was found that overexpression of markers in selected clusters is a significant indicator of poor overall survival. The proposed review offered a better understanding of independent data from the literature, revealing an integrative network of markers involved in cellular processes that could modulate the response of TMX. Analysis of these mechanisms and their molecular components could improve the effectiveness of TMX.

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Targetable ERBB2 mutation status is an independent marker of adverse prognosis in estrogen receptor positive, ERBB2 non-amplified primary lobular breast carcinoma: a retrospective in silico analysis of public datasets

Breast Cancer Research ◽

10.1186/s13058-020-01324-4 ◽

2020 ◽

Vol 22 (1) ◽

Cited By ~ 2

Author(s):

Sasagu Kurozumi ◽

Mansour Alsaleem ◽

Cíntia J. Monteiro ◽

Kartikeya Bhardwaj ◽

Stacey E. P. Joosten ◽

...

Keyword(s):

Estrogen Receptor ◽

Breast Carcinoma ◽

In Silico ◽

In Silico Analysis ◽

Mutation Status ◽

Estrogen Receptor Positive ◽

Lobular Breast Carcinoma ◽

Public Datasets ◽

Independent Marker ◽

Silico Analysis

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A common transition in multi-drug resistance gene and risk of breast cancer: A genetic association study with an in silico-analysis

Bioscience Biotechnology Research Communications ◽

10.21786/bbrc/9.4/11 ◽

2016 ◽

Vol 9 (4) ◽

pp. 643-652

Author(s):

Davood Kheirkhah ◽

Mohammad Karimian

Keyword(s):

Breast Cancer ◽

Drug Resistance ◽

Association Study ◽

Resistance Gene ◽

In Silico ◽

Genetic Association Study ◽

In Silico Analysis ◽

Multi Drug Resistance ◽

Common Transition ◽

Silico Analysis

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The Expression of miR-513c and miR-3163 was Downregulated in Tumor Tissues Compared with Margin Tissues of Patients With Breast Cancer

10.21203/rs.3.rs-28926/v1 ◽

2020 ◽

Author(s):

Soheila Delgir ◽

Khandan Ilkhani ◽

Asma Safi ◽

Farhad Seif ◽

Milad Bastami ◽

...

Keyword(s):

Breast Cancer ◽

Family History ◽

In Silico ◽

In Silico Analysis ◽

Glutamine Metabolism ◽

Expression Level ◽

P Value ◽

Biological Processes ◽

Tumor Tissues ◽

Silico Analysis

Abstract Background Breast cancer (BC) is the most common invasive cancer with different subtypes that its metabolism is unique compared with normal cells. Glutamine is considered a critical nutrition for tumor cell growth and therefore, targeting glutamine metabolism, especially Glutaminase, which catalyzed the conversion of glutamine to glutamate can be beneficial to design anti-cancer agents. Recently, evidence has shown that miRNAs with short length and single strand properties play a significant role in regulating the genes related to glutamine metabolism and may control the development of cancer.Methods Since, in-silico analysis confirmed that miR-513c and miR-3163 might be involved in glutamine metabolism, the expression level of these two miRNAs was evaluated in eighty BC tissues and margin tissues. The data were analyzed to evaluate the correlation between expression level of these miRNAs and patient’s characteristics such as abortion history, family history, and age. Furthermore, in-silico analysis was applied to predict the potential biological processes and molecular pathways of miR-513c and miR-3163 based on its gene targets.Results In-silico studies revealed the top categories of biological processes and pathways that play a critical role in cancer development were target genes for miR-513c and miR-3163. The current study showed that miR-513c (P-value = 0.02062 and fold change= -2.3801) and miR-3163 (P-value = 0.02034 and fold change= -2.3792) were downregulated in tumor tissues compared to margin tissues. Furthermore, the subgroup studies did not show any substantial relationship between expression levels of these two miRNAs and factors such as age, family history cancer, and abortion.Conclusion Based on our data, miR-513c and miR-3163 may be offered as a potential diagnosis and therapeutic targets for patients with BC.

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