scholarly journals Role of miR-10b-5p in the prognosis of breast cancer

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7728 ◽  
Author(s):  
Junmin Wang ◽  
Yanyun Yan ◽  
Zhiqi Zhang ◽  
Yali Li
Keyword(s):  
Breast Cancer ◽  
Target Genes ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Cancer Development ◽  
Clinicopathological Parameters ◽  
Aberrant Expression ◽  
Expression Levels ◽  
Ppi Networks

Breast cancer is the leading cause of cancer-related death in women worldwide. Aberrant expression levels of miR-10b-5p in breast cancer has been reported while the molecular mechanism of miR-10b-5p in tumorigenesis remains elusive. Therefore, this study was aimed to investigate the role of miR-10b-5p in breast cancer and the network of its target genes using bioinformatics analysis. In this study, the expression profiles and prognostic value of miR-10b-5p in breast cancer were analyzed from public databases. Association between miR-10b-5p and clinicopathological parameters were analyzed by non-parametric test. Moreover, the optimal target genes of miR-10b-5p were obtained and their expression patterns were examined using starBase and HPA database. Additionally, the role of these target genes in cancer development were explored via Cancer Hallmarks Analytics Tool (CHAT). The protein–protein interaction (PPI) networks were constructed to further investigate the interactive relationships among these genes. Furthermore, GO, KEGG pathway and Reactome pathway analyses were carried out to decipher functions of these target genes. Results demonstrated that miR-10b-5p was down-regulated in breast cancer and low expression of miR-10b-5p was significantly correlated to worse outcome. Five genes, BIRC5, E2F2, KIF2C, FOXM1, and MCM5, were considered as potential key target genes of miR-10b-5p. As expected, higher expression levels of these genes were observed in breast cancer tissues than in normal tissues. Moreover, analysis from CHAT revealed that these genes were mainly involved in sustaining proliferative signaling in cancer development. In addition, PPI networks analysis revealed strong interactions between target genes. GO, KEGG, and Reactome pathway analysis suggested that these target genes of miR-10b-5p in breast cancer were significantly involved in cell cycle. Predicted target genes were further validated by qRT-PCR analysis in human breast cancer cell line MDA-MB-231 transfected with miR-10b mimic or antisense inhibitors. Taken together, our data suggest that miR-10b-5p functions to impede breast carcinoma progression via regulation of its key target genes and hopefully serves as a potential diagnostic and prognostic marker for breast cancer.

scholarly journals Identification of Type II Interferon Receptors in Geese: Gene Structure, Phylogenetic Analysis, and Expression Patterns

2015 ◽  
Vol 2015 ◽  
pp. 1-14
Author(s):  
Hao Zhou ◽  
Shun Chen ◽  
Yulin Qi ◽  
Qin Zhou ◽  
Mingshu Wang ◽  
...  
Keyword(s):  
Expression Profiles ◽  
Expression Patterns ◽  
Harderian Gland ◽  
Distribution Analysis ◽  
Expression Levels ◽  
Age Related ◽  
Cecal Tonsil ◽  
Immune Tissues ◽  
First Time

Interferonγreceptor 1 (IFNGR1) and IFNGR2 are two cell membrane molecules belonging to class II cytokines, which play important roles in the IFN-mediated antiviral signaling pathway. Here, goose IFNGR1 and IFNGR2 were cloned and identified for the first time. Tissue distribution analysis revealed that relatively high levels of goose IFNγmRNA transcripts were detected in immune tissues, including the harderian gland, cecal tonsil, cecum, and thymus. Relatively high expression levels of both IFNGR1 and IFNGR2 were detected in the cecal tonsil, which implicated an important role of IFNγin the secondary immune system of geese. No specific correlation between IFNγ, IFNGR1, and IFNGR2 expression levels was observed in the same tissues of healthy geese. IFNγand its cognate receptors showed different expression profiles, although they appeared to maintain a relatively balanced state. Furthermore, the agonist R848 led to the upregulation of goose IFNγbut did not affect the expression of goose IFNGR1 or IFNGR2. In summary, trends in expression of goose IFNγand its cognate receptors showed tissue specificity, as well as an age-related dependency. These findings may help us to better understand the age-related susceptibility to pathogens in birds.

scholarly journals miR-1290 and its potential targets are associated with characteristics of estrogen receptor α-positive breast cancer

2012 ◽  
Vol 20 (1) ◽  
pp. 91-102 ◽  
Author(s):  
Yumi Endo ◽  
Tatsuya Toyama ◽  
Satoru Takahashi ◽  
Nobuyasu Yoshimoto ◽  
Mai Iwasa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Target Genes ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Estrogen Receptor Α ◽  
Breast Cancer Tissue ◽  
Cancer Tissue ◽  
Er Positive ◽  
Positive Breast Cancer

Recent analyses have identified heterogeneity in estrogen receptor α (ERα)-positive breast cancer. Subtypes called luminal A and luminal B have been identified, and the tumor characteristics, such as response to endocrine therapy and prognosis, are different in these subtypes. However, little is known about how the biological characteristics of ER-positive breast cancer are determined. In this study, expression profiles of microRNAs (miRNAs) and mRNAs in ER-positive breast cancer tissue were compared between ERhighKi67lowtumors and ERlowKi67hightumors by miRNA and mRNA microarrays. Unsupervised hierarchical clustering analyses revealed distinct expression patterns of miRNAs and mRNAs in these groups. We identified a downregulation of miR-1290 in ERhighKi67lowtumors. Among 11 miRNAs that were upregulated in ERhighKi67lowtumors, quantitative RT-PCR detection analysis using 64 samples of frozen breast cancer tissue identified six miRNAs (let-7a, miR-15a, miR-26a, miR-34a, miR-193b, and miR-342-3p). We picked up 11 genes that were potential target genes of the selected miRNAs and that were differentially expressed in ERhighKi67lowtumors and ERlowKi67hightumors. Protein expression patterns of the selected target genes were analyzed in 256 ER-positive breast cancer samples by immunohistochemistry: miR-1290 and its putative targets,BCL2, FOXA1, MAPT, andNAT1, were identified. Transfection experiments revealed that introduction of miR-1290 into ER-positive breast cancer cells decreased expression of NAT1 and FOXA1. Our results suggest that miR-1290 and its potential targets might be associated with characteristics of ER-positive breast cancer.

scholarly journals The role of micro-RNA in the regulation of signal pathways in gliomas

2017 ◽  
Vol 63 (6) ◽  
pp. 481-498
Author(s):  
O.I. Kit ◽  
D.I. Vodolazhsky ◽  
E.E. Rostorguev ◽  
D.H. Porksheyan ◽  
S.B. Panina
Keyword(s):  
Target Genes ◽  
Expression Profiles ◽  
Treatment Strategies ◽  
Micro Rna ◽  
Present Review ◽  
Signal Pathways ◽  
Aberrant Expression ◽  
Micro Rnas ◽  
Non Coding Rnas

Gliomas are invasive brain tumors with high rates of recurrence and mortality. Glioblastoma multiforme (GBM) is the most deadly form of glioma with nearly 100% rate of recurrence and unfavorable prognosis in patients. Micro-RNAs (miR) are the class of wide-spread short non-coding RNAs that inhibit translation via binding to the mRNA of target genes. The aim of the present review is to analyze recent studies and experimental results concerning aberrant expression profiles of miR, which target components of the signaling pathways Hedgehog, Notch, Wnt, EGFR, TGFb, HIF1a in glioma/glioblastoma. Particularly, the interactions of miR with targets of 2-hydroxyglutarate (the product of mutant isocytrate dehydrogenase, R132H IDH1, which is specific for the glioma pathogenesis) have been considered in the present review. Detecting specific miRNAs in tissue and serum may serve as a diagnostic and prognostic tool for glioma, as well as for predicting treatment response of an individual patient, and potentially serving as a mechanism for creating personalized treatment strategies

scholarly journals Exploring the metastatic role of the inhibitor of apoptosis BIRC6 in Breast Cancer

2021 ◽  
Author(s):  
Santiago Manuel Gomez Bergna ◽  
Abril Marchesini ◽  
Leslie Cinthya Amoros Morales ◽  
Paula Nazarena Arrias ◽  
Hernan Gabriel Farina ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Ontology ◽  
Mrna Expression ◽  
Differential Expression ◽  
Expression Patterns ◽  
Mrna Levels ◽  
Expression Levels ◽  
Apoptosis Protein ◽  
Mrna Expression Levels

Breast cancer is the most common cancer as well as the first cause of death by cancer in women worldwide. BIRC6 (baculoviral IAP repeat-containing protein 6) is a member of the inhibitors of apoptosis protein family thought to play an important role in the progression or chemoresistance of many cancers. The aim of the present work was to investigate the role of apoptosis inhibitor BIRC6 in breast cancer, focusing particularly on its involvement in the metastatic cascade. We analyzed BIRC6 mRNA expression levels and Copy Number Variations (CNV) in three breast cancer databases from The Cancer Genome Atlas (TCGA) comparing clinical and molecular attributes. Genomic analysis was performed using CBioportal platform while transcriptomic studies (mRNA expression levels, correlation heatmaps, survival plots and Gene Ontology) were performed with USC Xena and R. Statistical significance was set at p values less than 0.05. Our analyses showed that there was a differential expression of BIRC6 in cancer samples when compared to normal samples. CNV that involve amplification and gain of BIRC6 gene were correlated with negative hormone receptor tumors, higher prognostic indexes, younger age at diagnosis and both chemotherapy and radiotherapy administration. Transcriptomic and gene-ontology analyses showed that, in conditions of high BIRC6 mRNA levels, there are differential expression patterns in apoptotic, proliferation, and metastatic pathways. In summary, our in silico analyses suggest that BIRC6 exhibits an antiapoptotic, pro-proliferative and an apparent pro-metastatic role and could be a relevant molecular target for treatment of Breast Cancer tumors.

scholarly journals Identification of oxytocin-related lncRNAs and assessment of their expression in breast cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sepehr Behtaji ◽  
Soudeh Ghafouri-Fard ◽  
Arezou Sayad ◽  
Ali Sattari ◽  
Mathieu Rederstorff ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Expression Profiles ◽  
Mitotic Rate ◽  
Clinicopathological Parameters ◽  
System A ◽  
The Central Nervous System ◽  
Auc Value ◽  
Non Coding Rnas ◽  
Cancer Tissues

AbstractOxytocin is a neuropeptide released by the central nervous system. A number of studies have demonstrated the role of this neuropeptide in the pathogenesis of breast cancer. In the present project, we have identified mRNA coding genes and long non-coding RNAs (lncRNAs) that are associated with this pathway through an in-silico strategy, and measured their expression in a cohort of Iranian females affected with this type of malignancy. Expression levels of OXTR, FOS, ITPR1, RCAN1, CAMK2D, CACNA2D and lnc_ZFP161 were significantly down-regulated in breast cancer tissues compared with nearby non-cancerous tissues. On the other hand, expression of lnc_MTX2 was higher in breast cancer tissues compared with controls. Expression of lnc_TNS1 and lnc_FOXF1 were not different between these two kinds of samples. Expression of CACNA2D was associated with mitotic rate and PR status (P values = 3.02E−02 and 2.53E−02, respectively). Expression of other oxytocin-related genes was not associated with clinicopathological parameters. FOS and ITPR1 had the highest AUC value among the oxytocin-related genes. Combination of expression profiles of all oxytocin-related genes increased the AUC value to 0.75. However, the combinatorial sensitivity and specificity values were lower than some individual genes. In the breast cancer tissues, the most robust correlations have been detected between lnc_ZFP161/ lnc_FOXF1, CAMK2D/ lnc_ZFP161 and CAMK2D / lnc_FOXF1 (r = 0.86, 0.71 and 0.64 respectively). In the non-cancerous tissues, the strongest correlation was detected between lnc_FOXF1/lnc_MTX2 and lnc_ZFP161/CAMK2D respectively (r = 0.78 and 0.65). Taken together, oxytocin-associated genes have been dysregulated in breast cancer tissues. Moreover, the correlation ratio between these genes is connected with the existence of cancer.

Association of MiR-1290 and its potential targets with characteristics of estrogen receptor α-positive breast cancer.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 614-614
Author(s):  
Yumi Endo ◽  
Tatsuya Toyama ◽  
Satoru Takahashi ◽  
Nobuyasu Yoshimoto ◽  
Mai Iwasa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Protein Expression ◽  
Target Genes ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Cancer Tissue ◽  
Luminal A ◽  
Er Positive ◽  
Positive Breast Cancer

614 Background: Recent analyses have identified heterogeneity in estrogen receptor (ER) α-positive breast cancer. Subtypes called luminal A and luminal B have been identified, and the tumor characteristics, such as response to endocrine therapy and prognosis are different in these subtypes. However, little is known about how the biological characteristics of ER-positive breast cancer are determined. Methods: In this study, expression profiles of microRNAs (miRNAs) and mRNAs in ER-positive breast cancer tissue were compared between ERhigh Ki67low tumors and ERlow Ki67hightumors by miRNA and mRNA microarrays. Results: Unsupervised hierarchical clustering analyses revealed distinct expression patterns of miRNAs and mRNAs. We identified a down-regulation of miR-1290 and up-regulations of 6 miRNAs in ERhigh Ki67lowtumors. We picked up 11 genes that were potential target genes of the selected miRNAs. Protein expression patterns of the selected target genes were analyzed in ER-positive breast cancer samples by immunohistochemistry: miR-1290 and its 4 putative targets, BCL2, forkhead box A1 (FOXA1), microtubule associated protein tau (MAPT) and N-acetyltransferase-1 (NAT1) were identified. Transfection experiments revealed that introduction of miR-1290 into ER-positive breast cancer cells decreased mRNA and protein expression of NAT1 and FOXA1. Conclusions: Our results suggest that miR-1290 and its potential targets, NAT1 and FOXA1, might be associated with characteristics of ER-positive breast cancer.

scholarly journals Matrix Metalloproteinase Expression Patterns in Luminal A Type Breast Carcinomas

2007 ◽  
Vol 23 (3) ◽  
pp. 189-196 ◽  
Author(s):  
J. Decock ◽  
W. Hendrickx ◽  
M. Drijkoningen ◽  
H. Wildiers ◽  
P. Neven ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Expression Patterns ◽  
Menopausal Status ◽  
Clinicopathological Parameters ◽  
Rna Expression ◽  
Breast Cancer Patients ◽  
Breast Carcinomas ◽  
Luminal A ◽  
Aberrant Expression ◽  
Ductal Carcinomas

Objective:Aberrant expression of individual matrix metalloproteinases has been associated with poor prognosis in various human carcinomas. The current study aimed at defining an RNA expression profile of various MMPs in breast cancer and correlating their expression with clinicopathological parameters.Methods:The RNA expression patterns of 6 MMPs (MMP2, MMP8, MMP9, MMP10, MMP11, MMP13) were determined in 25 breast carcinomas using quantitative RT-PCR and correlated with clinicopathological parameters, including menopausal status, tumor size and grade, and lymph node involvement.Results:We observed high MMP2 levels more frequently in premenopausal than in postmenopausal women (p= 0.02). Analysis of luminal A type invasive ductal carcinomas (19/25), revealed an even stronger association of MMP2 with menopausal status (p= 0.005). Within this subgroup, we also found a correlation between MMP11 and menopausal status (p= 0.02). No correlation was found between MMP expressions and other clinicopathological parameters. In co-expression analyses MMP2-MMP10 and MMP8-MMP9 showed a weak correlation of their expression.Conclusions:Although this is a pilot study, our findings indicate that luminal A invasive ductal carcinomas commonly express high MMP2 and MMP11 levels in premenopausal breast cancer patients and suggest a co-regulation of MMP2-MMP10 and MMP8-MMP9.

scholarly journals Expression profiles and functional prediction of long non-coding RNAs LINC01133, ZEB1-AS1 and ABHD11-AS1 in the luminal subtype of breast cancer

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Sepideh Mehrpour Layeghi ◽  
Maedeh Arabpour ◽  
Abbas Shakoori ◽  
Mohammad Mehdi Naghizadeh ◽  
Yaser Mansoori ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Lines ◽  
Target Genes ◽  
Expression Profiles ◽  
Expression Level ◽  
Luminal Breast Cancer ◽  
Luminal Subtype ◽  
Expression Levels ◽  
Qrt Pcr ◽  
Non Coding Rnas

Abstract Background Luminal breast cancer (BC) is the most frequent subtype accounting for more than 70% of BC. LncRNAs, a class of non-coding RNAs with more than 200 nucleotides, are involved in a variety of cellular processes and biological functions. Abberant expression is related to the development of various cancers, such as breast cancer. LINC01133, ZEB1-AS1, and ABHD11-AS1 were reported to be dysregulated in different cancers. However, their expression level in luminal BC remains poorly known. The aim of the present study was to evaluate the potential roles of these lncRNAs in BC, especially in luminal subtypes. Methods A comprehensive analysis was performed using the Lnc2Cancer database to identify novel cancer-associated lncRNA candidates. After conducting a literature review, three novel lncRNAs named LINC01133, ZEB1-AS1, and ABHD11-AS1 were chosen as target genes of the present study. Quantitative real‐time polymerase chain reaction (qRT-PCR) was used to evaluate the expression level of the mentioned lncRNAs in both luminal BC tissues and cell lines. Then, the correlation of the three mentioned lncRNAs expression with clinicopathological characteristics of the patients was studied. Moreover, several datasets were used to discover the potential roles and functions of LINC01133, ZEB1-AS1 and ABHD11-AS1 in luminal subtype of BC. Results According to the qRT-PCR assay, the expression levels of LINC01133 and ZEB1-AS1 were decreased in luminal BC tissues and cell lines. On the other hand, ABHD11-AS1 was upregulated in the above-mentioned samples. The expression levels of LINC01133, ZEB1-AS1, and ABHD11-AS1 were not associated with any of the clinical features. Also, the results obtained from the bioinformatics analyses were consistent with qRT-PCR data. Functional annotation of the co-expressed genes with the target lncRNAs, protein–protein interactions and significantly enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways across luminal BC were also obtained using bioinformatics analysis. Conclusions Taken together, our findings disclosed the dysregulation of LINC01133, ZEB1-AS1, and ABHD11-AS1 in luminal BC. It was revealed that LINC01133 and ZEB1-AS1 expression was significantly downregulated in luminal BC tissues and cell lines, while ABHD11-AS1 was upregulated considerably in the mentioned tissues and cell lines. Also, bioinformatics and systems biology analyses have helped to identify the possible role of these lncRNAs in luminal BC. However, further analysis is needed to confirm the current findings.

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