Differential expression of miR-139, miR-486 and miR-21 in breast cancer patients sub-classified according to lymph node status

2014 ◽  
Vol 37 (3) ◽  
pp. 215-227 ◽  
Author(s):  
Lene Rask ◽  
Eva Balslev ◽  
Rolf Søkilde ◽  
Estrid Høgdall ◽  
Henrik Flyger ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Cancer Patients ◽  
Differential Expression ◽  
Lymph Node Status ◽  
Breast Cancer Patients ◽  
Node Status

scholarly journals Circulating microRNAs in Early Breast Cancer Patients and Its Association With Lymph Node Metastases

2020 ◽  
Author(s):  
Daniel Escuin ◽  
Laura López-Vilaró ◽  
Olga Bell ◽  
Josefina Mora ◽  
Antonio Moral ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Cancer Patients ◽  
Early Breast Cancer ◽  
Lymph Node Status ◽  
Breast Cancer Patients ◽  
Circulating Mirnas ◽  
Node Status ◽  
Differentially Expressed Mirnas ◽  
Node Metastases

Abstract Background: In recent years, miRNAs have emerged as important regulators of many cellular processes, including the various steps of the metastatic process. In addition, circulating miRNAs appear to be surprisingly stable in peripheral blood making them ideal noninvasive biomarkers for disease diagnosis. Here, we investigated the expression profile of circulating miRNAs and their association with the metastatic lymph node status in early breast cancer patients. Methods: We designed a proof-of-principle study using 16 plasma samples from patients with known sentinel lymph node status (n=12 positive and n=4 negative). We performed RNA-sequencing and validated the results by qPCR. Gene Ontology term enrichment and KEGG pathway analyses were carried out using DAVID tools.Results: We found16 differentially expressed miRNAs after adjusting for false discovery correction (q < 0.01) in patients with positive samples. Thirteen miRNAs were down-regulated (miR-339-5p, miR-133a-3p, miR-326, miR-331-3p, miR-369-3p, miR-328-3p, miR-26a-3p, miR-139-3p, miR-493-3p, miR-664a-5p, miR-323b-3pmiR-1307-3p and miR-423-3p) and 3 were up-regulated (miR-101-3p, miR-146a-5p and miR-144-3p). Hierarchical clustering using differentially expressed miRNAs clearly distinguished patients according to their lymph node status. We did not find any difference in the miRNA expression profile between plasma samples associated with macrometastasis or micrometastasis. The expression of 9 miRNAs was validated by qPCR. Moreover, gene ontology analysis showed a significant enrichment of biological processes associated with the regulation of the epithelial mesenchymal transition, cell proliferation and transcriptional regulation. Conclusions: Our results indicated the potential role of several circulating miRNAs as surrogate markers of lymph node metastases in early breast cancer patients. Further validation in a larger cohort of patients will be necessary to confirm our results.

Artificial neural networks for prediction of lymph node status in breast cancer patients

2007 ◽  
Vol 68 (4) ◽  
pp. 922-923 ◽  
Author(s):  
Selda Tez ◽  
Ömer Yoldaş ◽  
Yusuf Alper Kılıç ◽  
Hayrettin Dizen ◽  
Mesut Tez
Keyword(s):  
Breast Cancer ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Lymph Node ◽  
Cancer Patients ◽  
Lymph Node Status ◽  
Breast Cancer Patients ◽  
Node Status ◽  
Artificial Neural
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