scholarly journals LINC00467, Driven by Copy Number Amplification and DNA Demethylation, Is Associated with Oxidative Lipid Metabolism and Immune Infiltration in Breast Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-27
Author(s):  
Hao Bo ◽  
Wancong Zhang ◽  
Xiaoping Zhong ◽  
Jiasheng Chen ◽  
Yang Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lipid Metabolism ◽  
Network Analysis ◽  
Copy Number ◽  
Poor Prognosis ◽  
Transforming Growth Factor ◽  
Dna Demethylation ◽  
Migration And Invasion ◽  
Potential Biomarker ◽  
Copy Number Amplification

Breast cancer (BRCA) is a malignant tumor with a high incidence and poor prognosis in females. However, its pathogenesis remains unclear. In this study, based on bioinformatic analysis, we found that LINC00467 was highly expressed in BRCA and was associated with tumor metastasis and poor prognosis. The genomic and epigenetic analysis showed that LINC00467 may also be regulated by copy number amplification (CNA), chromatin openness, and DNA methylation. In vitro experiments showed that it could promote the proliferation, migration, and invasion of BRCA cells. Competitive endogenous RNA (ceRNA) regulatory network analysis and weighted gene coexpression network analysis (WGCNA) suggested that LINC00467 may play a role in signaling pathways of peroxisomal lipid metabolism, immunity, and others through microRNAs (miRNAs) targeting transforming growth factor beta 2 (TGFB2). In addition, copy number amplification and high expression of LINC00467 were associated with the low infiltration of CD8+ and CD4+ T cells. In conclusion, we found that LINC00467, driven by copy number amplification and DNA demethylation, may be a potential biomarker for the diagnosis and prognosis of BRCA and a tumor promoter acting as a potential therapeutic target for BRCA as well.

scholarly journals Epithelial–Mesenchymal Transition (EMT) Induced by TGF-β in Hepatocellular Carcinoma Cells Reprograms Lipid Metabolism

2021 ◽  
Vol 22 (11) ◽  
pp. 5543
Author(s):  
Jitka Soukupova ◽  
Andrea Malfettone ◽  
Esther Bertran ◽  
María Isabel Hernández-Alvarez ◽  
Irene Peñuelas-Haro ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Lipid Metabolism ◽  
Transforming Growth Factor ◽  
Epithelial Mesenchymal Transition ◽  
Aerobic Glycolysis ◽  
Metabolic Reprogramming ◽  
Migration And Invasion ◽  
Metabolic Switch ◽  
Mesenchymal Transition ◽  
Hcc Cells

(1) Background: The transforming growth factor (TGF)-β plays a dual role in liver carcinogenesis. At early stages, it inhibits cell growth and induces apoptosis. However, TGF-β expression is high in advanced stages of hepatocellular carcinoma (HCC) and cells become resistant to TGF-β induced suppressor effects, responding to this cytokine undergoing epithelial–mesenchymal transition (EMT), which contributes to cell migration and invasion. Metabolic reprogramming has been established as a key hallmark of cancer. However, to consider metabolism as a therapeutic target in HCC, it is necessary to obtain a better understanding of how reprogramming occurs, which are the factors that regulate it, and how to identify the situation in a patient. Accordingly, in this work we aimed to analyze whether a process of full EMT induced by TGF-β in HCC cells induces metabolic reprogramming. (2) Methods: In vitro analysis in HCC cell lines, metabolomics and transcriptomics. (3) Results: Our findings indicate a differential metabolic switch in response to TGF-β when the HCC cells undergo a full EMT, which would favor lipolysis, increased transport and utilization of free fatty acids (FFA), decreased aerobic glycolysis and an increase in mitochondrial oxidative metabolism. (4) Conclusions: EMT induced by TGF-β in HCC cells reprograms lipid metabolism to facilitate the utilization of FFA and the entry of acetyl-CoA into the TCA cycle, to sustain the elevated requirements of energy linked to this process.

scholarly journals Expression Characteristics and Significant Prognostic Values of PGK1 in Breast Cancer

2021 ◽  
Vol 8 ◽  
Author(s):  
Yanping Li ◽  
Shanshan Wang ◽  
Xiaoyuan Zhang ◽  
Rui Yang ◽  
Xiaonan Wei ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Protein Expression ◽  
Mrna Level ◽  
Vital Role ◽  
Migration And Invasion ◽  
Breast Cancer Patients ◽  
Clinicopathologic Characteristics ◽  
Independent Prognostic Marker ◽  
Potential Biomarker ◽  
Mrna And Protein Expression

It was proven that PGK1 plays a vital role in the proliferation, migration, and invasion of human breast cancer. However, the correlation of PGK1 mRNA and protein expression with clinicopathologic characteristics and prognostic values according to various kinds of breast cancer patient classifications remains unsufficient. Here, we analyzed data from the Oncomine database, Breast cancer Gene-Expression Miner v4.5, TNMplot, MuTarget, PrognoScan database, and clinical bioinformatics to investigate PGK1 expression distribution and prognostic value in breast cancer patients. Our study revealed that the mRNA and protein expression levels of PGK1 were up-regulated in various clinicopathologic types of breast cancer. Moreover, the expression of PGK1 was correlated with mutations of common tumor suppressor genes TP53 and CDH1. In addition, we found that high mRNA level of PGK1 was significantly associated with poor OS, RFS, and DMFS. Notably, Cox regressionanalysis showed that PGK1 could be used as an independent prognostic marker. In summary, the aforementioned findings suggested that PGK1 might be not only explored as a potential biomarker, but also combined with TP53/CDH1 for chemotherapy in breast cancer.

scholarly journals Secreted Frizzled-Related Protein 2 Is Associated with Disease Progression and Poor Prognosis in Breast Cancer

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Chumei Huang ◽  
Zhuangjian Ye ◽  
Jianxin Wan ◽  
Jianbo Liang ◽  
Min Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Poor Prognosis ◽  
Cancer Drug ◽  
Enzyme Linked Immunosorbent Assay ◽  
Healthy Controls ◽  
Related Protein ◽  
Breast Cancer Patients ◽  
Kaplan Meier ◽  
Potential Biomarker

Purpose. Secreted frizzled-related protein 2 (sFRP2) is a secreted protein associated with cancer drug resistance and metastasis. However, few studies have reported serum sFRP2 levels in breast cancer. We evaluated serum sFRP2 as a potential biomarker for breast cancer. Methods. Serum sFRP2 concentrations were detected in 274 breast cancer patients along with 147 normal healthy controls by enzyme-linked immunosorbent assay (ELISA). Diagnostic significance was evaluated by area under the curve (AUC) analysis and the Youden index. Prognostic significance was determined by Kaplan-Meier survival method and univariate and multivariate Cox proportional hazard regression model analyses. Results. Serum sFRP2 was elevated in breast cancer patients compared to normal healthy controls (P<0.001). The sensitivity of sFRP2 in diagnosing breast cancer was 76.9% at a specificity of 76.6%. Elevated serum sFRP2 levels are associated with primary tumor size, TNM stage, and lymph node metastases. The Kaplan-Meier curves showed a significant association of serum sFRP2 with progression-free survival. The multivariate Cox analysis confirmed that high serum sFRP2 was an independent prognostic factor for poor prognosis (HR=3.89, 95% CI=1.95-7.68, P=0.001). Conclusions. In conclusion, serum sFRP2 may serve as a potential biomarker for breast cancer diagnosis and prognostic evaluation.

scholarly journals Signaling through ShcA Is Required for Transforming Growth Factor β- and Neu/ErbB-2-Induced Breast Cancer Cell Motility and Invasion

2008 ◽  
Vol 28 (10) ◽  
pp. 3162-3176 ◽  
Author(s):  
Jason J. Northey ◽  
Juliann Chmielecki ◽  
Elaine Ngan ◽  
Caterina Russo ◽  
Matthew G. Annis ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Growth Factor ◽  
Cell Motility ◽  
Cancer Cells ◽  
Mammary Tumor ◽  
Breast Cancer Cells ◽  
Transforming Growth Factor ◽  
Adaptor Protein ◽  
Transforming Growth Factor Β ◽  
Migration And Invasion

ABSTRACT Cooperation between the Neu/ErbB-2 and transforming growth factor β (TGF-β) signaling pathways enhances the invasive and metastatic capabilities of breast cancer cells; however, the underlying mechanisms mediating this synergy have yet to be fully explained. We demonstrate that TGF-β induces the migration and invasion of mammary tumor explants expressing an activated Neu/ErbB-2 receptor, which requires signaling from autophosphorylation sites located in the C terminus. A systematic analysis of mammary tumor explants expressing Neu/ErbB-2 add-back receptors that couple to distinct signaling molecules has mapped the synergistic effect of TGF-β-induced motility and invasion to signals emanating from tyrosine residues 1226/1227 and 1253 of Neu/ErbB-2. Given that the ShcA adaptor protein is known to interact with Neu/ErbB-2 through these residues, we investigated the importance of this signaling molecule in TGF-β-induced cell motility and invasion. The reduction of ShcA expression rendered cells expressing activated Neu/ErbB-2, or add-back receptors signaling specifically through tyrosines 1226/1227 or 1253, unresponsive to TGF-β-induced motility and invasion. In addition, a dominant-negative form of ShcA, lacking its three known tyrosine phosphorylation sites, completely abrogates the TGF-β-induced migration and invasion of breast cancer cells expressing activated Neu/ErbB-2. Our results implicate signaling through the ShcA adaptor as a key component in the synergistic interaction between these pathways.

scholarly journals MicroRNA-155 Is Regulated by the Transforming Growth Factor β/Smad Pathway and Contributes to Epithelial Cell Plasticity by Targeting RhoA

2008 ◽  
Vol 28 (22) ◽  
pp. 6773-6784 ◽  
Author(s):  
William Kong ◽  
Hua Yang ◽  
Lili He ◽  
Jian-jun Zhao ◽  
Domenico Coppola ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Migration ◽  
Growth Factor ◽  
Tight Junction ◽  
Transforming Growth Factor ◽  
Transforming Growth Factor Β ◽  
Migration And Invasion ◽  
Advanced Malignancy ◽  
Mesenchymal Transition ◽  
Cell Migration And Invasion

ABSTRACT Transforming growth factor β (TGF-β) signaling facilitates metastasis in advanced malignancy. While a number of protein-encoding genes are known to be involved in this process, information on the role of microRNAs (miRNAs) in TGF-β-induced cell migration and invasion is still limited. By hybridizing a 515-miRNA oligonucleotide-based microarray library, a total of 28 miRNAs were found to be significantly deregulated in TGF-β-treated normal murine mammary gland (NMuMG) epithelial cells but not Smad4 knockdown NMuMG cells. Among upregulated miRNAs, miR-155 was the most significantly elevated miRNA. TGF-β induces miR-155 expression and promoter activity through Smad4. The knockdown of miR-155 suppressed TGF-β-induced epithelial-mesenchymal transition (EMT) and tight junction dissolution, as well as cell migration and invasion. Further, the ectopic expression of miR-155 reduced RhoA protein and disrupted tight junction formation. Reintroducing RhoA cDNA without the 3′ untranslated region largely reversed the phenotype induced by miR-155 and TGF-β. In addition, elevated levels of miR-155 were frequently detected in invasive breast cancer tissues. These data suggest that miR-155 may play an important role in TGF-β-induced EMT and cell migration and invasion by targeting RhoA and indicate that it is a potential therapeutic target for breast cancer intervention.

scholarly journals The Major Prognostic Features of Nuclear ReceptorNR5A2in Infiltrating Ductal Breast Carcinomas

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Li-Yun Chang ◽  
Li-Yu D. Liu ◽  
Don A. Roth ◽  
Wen-Hung Kuo ◽  
Hsiao-Lin Hwa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Network Analysis ◽  
Poor Prognosis ◽  
Transcriptional Regulatory Network ◽  
Expression Profiles ◽  
Gene Signature ◽  
Cancer Prognosis ◽  
Transcriptional Networks ◽  
Cancer Subtypes ◽  
Prognostic Features

Background. Gene expression profiles of 181 breast cancer samples were analyzed to identify prognostic features of nuclear receptorsNR5A1andNR5A2based upon their associated transcriptional networks.Methods. A supervised network analysis approach was used to build the NR5A-mediated transcriptional regulatory network. Other bioinformatic tools and statistical methods were utilized to confirm and extend results from the network analysis methodology.Results.NR5A2expression is a negative factor in breast cancer prognosis in both ER(−) and ER(−)/ER(+) mixed cohorts. The clinical and cohort significance ofNR5A2-mediated transcriptional activities indicates that it may have a significant role in attenuating grade development and cancer related signal transduction pathways.NR5A2signature that conditions poor prognosis was identified based upon results from 15 distinct probes. Alternatively, the expression ofNR5A1predicts favorable prognosis when concurrentNR5A2expression is low. A favorable signature of eight transcription factors mediated byNR5A1was also identified.Conclusions. Correlation of poor prognosis andNR5A2activity is identified byNR5A2-mediated 15-gene signature.NR5A2may be a potential drug target for treating a subset of breast cancer tumors across breast cancer subtypes, especially ER(−) breast tumors. The favorable prognostic feature ofNR5A1is predicted byNR5A1-mediated 8-gene signature.

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