Prognostic role of microRNAs in breast cancer: A systematic review

Zografos, Εleni; Zagouri, Flora; Kalapanida, Despoina; Zakopoulou, Roubini; Kyriazoglou, Anastasios; Apostolidou, Kleoniki; Gazouli, Maria; Dimopoulos, Meletios-Athanasios

doi:10.18632/oncotarget.27327

Cited by 35 publications

(27 citation statements)

References 136 publications

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“…Based on our literature review [ 10 ] and our yet unpublished data on breast cancer tissues and circulating miRNA expression, five references [ 13 , 14 , 15 , 16 ] and seven target miRNAs [ 17 , 18 ] detectable in plasma were chosen to examine as the most representative biomarkers in plasma of BC patients and control subjects. The process of miRNA profiling consisted of two phases: pilot testing (Phase 1) and final testing (Phase 2).…”

Section: Resultsmentioning

confidence: 99%

“…Based on the literature review, specific miRNAs were selected with potentially stable plasma expression (reference miRNAs, e.g., miR-16-5p, miR-103a-3p, miR-191-5p, miR-1228-3p, miR-520d-5p) and target miRNAs (miR-10b-5p, miR-99a-5p, miR-130a-3p, miR-342-3p, miR-484, miR-486-5p, miR-1260a) [ 10 , 17 , 52 , 60 ] with elevated expression in the plasma of cancer patients. The expression level of selected target and reference miRNAs was determined by the miRCURY LNA miRNA PCR system (Qiagen), and the quality of samples was tested by synthetic spike-in oligonucleotides (RNA Spike-in kit, Qiagen).…”

Section: Methodsmentioning

confidence: 99%

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Pathway Analysis of Selected Circulating miRNAs in Plasma of Breast Cancer Patients: A Preliminary Study

Holubeková

Kolková

Grendár

et al. 2020

IJMS

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MicroRNAs in the circulation of breast cancer (BC) patients have great potential for the early diagnosis, treatment and monitoring of breast cancer. The aim of this preliminary study was to obtain the expression profile of selected miRNAs in the plasma of BC patients that could discriminate BC patients from healthy volunteers and may be useful in early detection of BC. Significantly deregulated miRNAs were evaluated by pathway analysis with the prediction of potential miRNA targets. The study enrolled plasma samples from 65 BC patients and 34 healthy volunteers. Selected miRNAs were screened in pilot testing by the real-time PCR (qPCR) method, and the most appropriate reference genes were selected for normalisation by the geNorm algorithm. In the final testing, we detected miR-99a, miR-130a, miR-484 and miR-1260a (p < 0.05) as significantly up-regulated in the plasma of BC patients. Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis revealed that all significantly deregulated miRNAs are involved in the Hippo and Transforming Growth Factor-beta (TGF-beta) signalling pathways. Our study confirmed a different profile of selected circulating miRNAs in the plasma of BC patients with an emphasis on some critical points in the analysis process.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Pathway Analysis of Selected Circulating miRNAs in Plasma of Breast Cancer Patients: A Preliminary Study

Holubeková

Kolková

Grendár

et al. 2020

IJMS

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“…MicroRNAs have been proved as hopeful biomarkers in the diagnosis and prognosis of BC [32]. Irregular expression of miRNAs impacts the processes involved in the development of BC such as invasion, metastasis, promoting tissue, stimulating antiapoptotic activity, drug resistance, and metabolism reprogramming [18,33,34].…”

Section: Discussionmentioning

confidence: 99%

The expression of miR-513c and miR-3163 was downregulated in tumor tissues compared with margin tissues of patients with breast cancer

Delgir

Ilkhani

Safi

et al. 2020

Preprint

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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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“…Some investigators developed miR signatures to evaluate their role as prognostic markers in breast cancer. For example, miR-21, miR-30c, miR-181a, miR-125b, miR-7, miR-200a, miR-135b, miR-22 and miR-200c signatures are tested in hormone positive, HER2- negative breast cancer and provide reliable prognostic models [ 96 ]. To date, there was no difference found in miR expressions between obese postmenopausal patients with breast cancer and normal weight groups in terms of miR-17-5p, miR-195-3p and miR-221-3p [ 97 ].…”

Section: Microrna Deregulation In Obesity Metabolic Syndrome Breastmentioning

confidence: 99%

Obesity, leptin, and deregulation of microRNA in lipid metabolisms: their contribution to breast cancer prognosis

Taroeno-Hariadi

Hardianti

Sinorita

et al. 2021

Diabetol Metab Syndr

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Obesity and Metabolic Syndrome have been associated with cardiovascular, diabetes and cancer incidence. Obesity is a state of inflammation. There are cross-talks between adipocyte, adipokines, pro-inflammatory cytokines, insulin, leptin, and other growth factors to initiate signals for proliferation, anti-apoptosis, and angiogenesis. Those networks lead to cancer initiation, promotion, progression, and metastasis. Post menopause women with breast cancer commonly have overweight, obesity, and metabolic syndrome, which are previously reported as conditions to be associated with breast cancer prognosis. MicroRNAs (miRNAs), small non-coding RNA that regulate gene expression, are known to play important roles either in metabolic or carcinogenesis process in patients with breast cancer. Some miRNAs expressions are deregulated in persons either with obesity, breast cancer, or breast cancer with co-morbid obesity. This literature review aimed at reviewing recent publications on the role of obesity, leptin, and microRNA deregulation in adverse prognosis of breast cancer. Understanding the influence of deregulated miRNAs and their target genes in patients with breast cancer and obesity will direct more studies to explore the potential prognostic role of obesity in breast cancer from epigenetic points of view.

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Prognostic role of microRNAs in breast cancer: A systematic review

Cited by 35 publications

References 136 publications

Pathway Analysis of Selected Circulating miRNAs in Plasma of Breast Cancer Patients: A Preliminary Study

Pathway Analysis of Selected Circulating miRNAs in Plasma of Breast Cancer Patients: A Preliminary Study

The expression of miR-513c and miR-3163 was downregulated in tumor tissues compared with margin tissues of patients with breast cancer

Obesity, leptin, and deregulation of microRNA in lipid metabolisms: their contribution to breast cancer prognosis

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