Abstract:Background: The purpose of this study was to explore the regulatory mechanism of the long non-coding RNA (lncRNA) LINC00461 underlying the breast cancer invasion and migration via the miR-144-3p/KPNA2 axis. Methods: Bioinformatics methods were applied to screen differentially expressed mRNAs, miRNAs and lncRNAs for construction of a competing endogenous RNA (ceRNA) network. LINC00461, KPNA2 and miR-144-3p were identified, and KPNA2 was predicted to be a target of miR-144-3p and significantly correlated with br… Show more
“…Due to the frequent occurrence of bone metastasis in patients with advanced breast cancer, the understanding of pathogenesis and clinical management of bone metastasis are important and challenging topics in basic research and clinical practice. The ceRNA network, including mRNA, miRNA, and lncRNA, and infiltrating immune cells may be critical to further understand this phenomenon [17] , [18] , [19] , [20] . We observed that tumour samples with bone metastasis had significantly altered proportions of infiltrating cells compared with breast cancer without bone metastasis.…”
Section: Discussionmentioning
confidence: 99%
“…LncRNA is a type of ncRNA with over 200 nucleotides, which is not related to protein-coding [17] , [18] , [19] , [20] , [21] . New evidence suggests that lncRNA imbalance occurs frequently in many malignant tumours, which is a key factor for carcinogenesis through post-transcriptional regulation and epigenetic modification [22] , [23] .…”
Highlights
There were significant differences in lncRNAs, 18 miRNAs, and 20 mRNAs between breast cancer with and without bone metastasis.
JGB3, CAMGV, PTPRZ1, and FBN3 mRNA were related to prognosis of patients with metastatic breast cancer of bone.
The proportions of plasma cells and follicular helper T cells were significantly higher in breast cancer with bone metastasis.
The model composed of activated mast cells, gamma delta T cells, activated dendritic cells, follicular helper T cells, eosinophils and neutrophils had the smallest Akaike information criterion.
DLX6-AS1, Wnt6, and GABBR2 expression may be related to bone metastasis in patients with breast cancer.
“…Due to the frequent occurrence of bone metastasis in patients with advanced breast cancer, the understanding of pathogenesis and clinical management of bone metastasis are important and challenging topics in basic research and clinical practice. The ceRNA network, including mRNA, miRNA, and lncRNA, and infiltrating immune cells may be critical to further understand this phenomenon [17] , [18] , [19] , [20] . We observed that tumour samples with bone metastasis had significantly altered proportions of infiltrating cells compared with breast cancer without bone metastasis.…”
Section: Discussionmentioning
confidence: 99%
“…LncRNA is a type of ncRNA with over 200 nucleotides, which is not related to protein-coding [17] , [18] , [19] , [20] , [21] . New evidence suggests that lncRNA imbalance occurs frequently in many malignant tumours, which is a key factor for carcinogenesis through post-transcriptional regulation and epigenetic modification [22] , [23] .…”
Highlights
There were significant differences in lncRNAs, 18 miRNAs, and 20 mRNAs between breast cancer with and without bone metastasis.
JGB3, CAMGV, PTPRZ1, and FBN3 mRNA were related to prognosis of patients with metastatic breast cancer of bone.
The proportions of plasma cells and follicular helper T cells were significantly higher in breast cancer with bone metastasis.
The model composed of activated mast cells, gamma delta T cells, activated dendritic cells, follicular helper T cells, eosinophils and neutrophils had the smallest Akaike information criterion.
DLX6-AS1, Wnt6, and GABBR2 expression may be related to bone metastasis in patients with breast cancer.
“…Due to the frequent occurrence of bone metastasis in patients with advanced breast cancer, the pathogenesis and clinical management of bone metastasis are important and challenging topics in basic research and clinical practice. The ceRNAs network, including mRNA, miRNA, and lncRNA, and immune cells that in ltrate the tumour may be critical to further understand this phenomenon [12][13][14][15]. We observed that tumour samples with bone metastasis had signi cantly altered proportions of in ltrating cells compared with breast cancer without bone metastasis.…”
Section: Discussionmentioning
confidence: 85%
“…Lncrna is a type of ncRNA with over 200 nucleotides, which has nothing to do with protein-coding [12][13][14][15][16]. New evidence suggests that lncRNA imbalance occurs frequently in many malignant tumours and are vital for carcinogenesis through post-transcriptional regulation and epigenetic modi cation [17,18].…”
Section: Discussionmentioning
confidence: 99%
“…Recently, an increasing number of studies show that aberrant lncrnas expression leads to the development of many kinds of malignant tumours, including breast cancer [12][13][14][15][16][17][18]. As a kind of lncrnas, dlx6-as1 is believed to be carcinogenic by regulating the progression of renal cell carcinoma, liver cell carcinoma, glioma, pancreatic cancer and lung adenocarcinoma [19][20][21][22][23][24][25][26].…”
Background: Advanced breast cancer commonly metastasises to the bone and the molecular mechanism explaining the bone affinity of breast cancer cells is unclear. Thus, we developed nomograms based on a competing endogenous RNA (ceRNA) network and analysed tumour-infiltrating immunecells to elucidate the molecular pathways that may predict the prognosis of breast cancer patients.Methods: We obtained the RNA expression profile of 1091 primary breast cancer samples from The Cancer Genome Atlas database, 58 of which had bone metastasis. We analysed differential RNA expression patterns between breast cancer with and without bone metastasis and developed a ceRNA network. Cibersort was employed to differentiate between immune cell types based on tumour transcripts. Nomograms were then established using the ceRNA network and immune cell analysis. The value of prognostic factors was evaluated by Kaplan-Meier survival analysis and Cox proportional risk model.Results: There were significant differences in lncRNAs, 18 miRNAs, and 20mRNAs between breast cancer with and without bone metastasis, which were used to construct a ceRNA network. We found that the protein-coding genes gjb3, cammv, ptprz1,and fbn3 were significant in our Kaplan-Meier analysis. We also observed significant differences in plasma cell and follicular helper T cell populations between the two groups. In addition, the proportions of mast cells, gamma delta T cells, and plasma cells differed depending on disease location and stage. Our analysis revealed that a high proportion of follicular helper T cells and a low proportion of eosinophils promoted survival and that dlx6-as1, wnt6,and gabbr2expression may be related to bone metastasis of breast cancer.Conclusions: We provided a bioinformatic basis for exploring the molecular mechanism of bone metastasis in breast cancer patients and identified factors that may predict this.
This study was designed to explore the role of circ_0001982 in breast cancer (BC) development. Quantitative real‐time polymerase chain reaction and western blot analysis assays were used to determine circ_0001982, miR‐144‐3p, and gse1 coiled‐coil protein (GSE1) expression. Functional assays were performed to evaluate cell proliferation, apoptosis, migration, and invasion. The glycolysis was analyzed with commercial kits. Dual‐luciferase reporter assay and RNA immunoprecipitation assays were conducted to analyze the relationships among circ_0001982, miR‐144‐3p, and GSE1. A murine xenograft model assay was performed to determine circ_0001982‐induced effects on BC cell tumor properties in vivo. Circ_0001982 expression was upregulated, but miR‐144‐3p was reduced in BC tissues and cells in comparison with normal breast tissues and normal human mammary epithelial cells. Circ_0001982 knockdown or miR‐144‐3p overexpression inhibited BC cell proliferation, glycolysis, migration and invasion, and promoted apoptosis. Circ_0001982 sponged miR‐144‐3p and negatively regulated miR‐144‐3p expression in BC cells. In addition, GSE1 was identified as a target mRNA of miR‐144‐3p. Ectopic GSE1 expression relieved circ_0001982 depletion‐induced effects on BC cell tumor properties. Furthermore, circ_0001982 absence suppressed BC cell tumor properties in vivo. Circ_0001982 contributed to the BC cell tumor properties by regulating the miR‐144‐3p‐GSE1 axis.
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