scholarly journals Cytochrome b561 Serves as a Potential Prognostic Biomarker and Target for Breast Cancer

2021 ◽  
Vol Volume 14 ◽  
pp. 10447-10464
Author(s):  
Xiaochen Yang ◽  
Yangjing Zhao ◽  
Qixiang Shao ◽  
Guoqin Jiang
2020 ◽  
Vol 21 (16) ◽  
pp. 5834
Author(s):  
Anna Maria Grimaldi ◽  
Silvia Nuzzo ◽  
Gerolama Condorelli ◽  
Marco Salvatore ◽  
Mariarosaria Incoronato

There is an unmet need for novel non-invasive prognostic molecular tumour markers for breast cancer (BC). Accumulating evidence shows that miR-155 plays a pivotal role in tumorigenesis. Generally, miR-155 is considered an oncogenic miRNA promoting tumour growth, angiogenesis and aggressiveness of BC. Therefore, many researchers have focused on its use as a prognostic biomarker and therapeutic target. However, its prognostic value for BC patients remains controversial. To address this issue, the present systematic review aims to summarize the available evidence and give a picture of a prognostic significance of miR-155 in BC pathology. All eligible studies were searched on PubMed and EMBASE databases through various search strategies. Starting from 289 potential eligible records, data were examined from 28 studies, comparing tissue and circulating miR-155 expression levels with clinicopathological features and survival rates in BC patients. We discuss the pitfalls and challenges that need to be assessed to understand the power of miR-155 to respond to real clinical needs, highlighting the consistency, robustness or lack of results obtained to sate in translating this molecule to clinical practice. Our paper suggests that the prognostic role of miR-155 in the management of BC needs to be further verified.


2020 ◽  
Vol 4 ◽  
pp. AB022-AB022
Author(s):  
Carolyn Cullinane ◽  
Fara Khawaja ◽  
Donal Peter O’Leary ◽  
Martin O’Sullivan ◽  
Louise Kelly ◽  
...  

2014 ◽  
Vol 47 (18) ◽  
pp. 257-262 ◽  
Author(s):  
Alexandros Tzovaras ◽  
Athina Kladi-Skandali ◽  
Kleita Michaelidou ◽  
George C. Zografos ◽  
Ioannis Missitzis ◽  
...  

2020 ◽  
Author(s):  
Gaochen Lan ◽  
Xiaoling Yu ◽  
Yanna Zhao ◽  
Jinjian Lan ◽  
Wan Li ◽  
...  

Abstract Background: Breast cancer is the most common malignant disease among women. At present, more and more attention has been paid to long non-coding RNAs (lncRNAs) in the field of breast cancer research. We aimed to investigate the expression profiles of lncRNAs and construct a prognostic lncRNA for predicting the overall survival (OS) of breast cancer.Methods: The expression profiles of lncRNAs and clinical data with breast cancer were obtained from The Cancer Genome Atlas (TCGA). Differentially expressed lncRNAs were screened out by R package (limma). The survival probability was estimated by the Kaplan‑Meier Test. The Cox Regression Model was performed for univariate and multivariate analysis. The risk score (RS) was established on the basis of the lncRNAs’ expression level (exp) multiplied regression coefficient (β) from the multivariate cox regression analysis with the following formula: RS=exp a1 * β a1 + exp a2 * β a2 +……+ exp an * β an. Functional enrichment analysis was performed by Metascape.Results: A total of 3404 differentially expressed lncRNAs were identified. Among them, CYTOR, MIR4458HG and MAPT-AS1 were significantly associated with the survival of breast cancer. Finally, The RS could predict OS of breast cancer (RS=exp CYTOR * β CYTOR + exp MIR4458HG * β MIR4458HG + exp MAPT-AS1 * β MAPT-AS1). Moreover, it was confirmed that the three-lncRNA signature could be an independent prognostic biomarker for breast cancer (HR=3.040, P=0.000).Conclusions: This study established a three-lncRNA signature, which might be a novel prognostic biomarker for breast cancer.


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