scholarly journals Portraying breast cancers with long noncoding RNAs

2016 ◽  
Vol 2 (9) ◽  
pp. e1600220 ◽  
Author(s):  
Olivier Van Grembergen ◽  
Martin Bizet ◽  
Eric J. de Bony ◽  
Emilie Calonne ◽  
Pascale Putmans ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Growth Factor ◽  
Transforming Growth Factor ◽  
Noncoding Rnas ◽  
Breast Tumors ◽  
Long Noncoding Rnas ◽  
Breast Cancers ◽  
Mesenchymal Transition ◽  
A Genome ◽  
Wide Range

Evidence is emerging that long noncoding RNAs (lncRNAs) may play a role in cancer development, but this role is not yet clear. We performed a genome-wide transcriptional survey to explore the lncRNA landscape across 995 breast tissue samples. We identified 215 lncRNAs whose genes are aberrantly expressed in breast tumors, as compared to normal samples. Unsupervised hierarchical clustering of breast tumors on the basis of their lncRNAs revealed four breast cancer subgroups that correlate tightly with PAM50-defined mRNA-based subtypes. Using multivariate analysis, we identified no less than 210 lncRNAs prognostic of clinical outcome. By analyzing the coexpression of lncRNA genes and protein-coding genes, we inferred potential functions of the 215 dysregulated lncRNAs. We then associated subtype-specific lncRNAs with key molecular processes involved in cancer. A correlation was observed, on the one hand, between luminal A–specific lncRNAs and the activation of phosphatidylinositol 3-kinase, fibroblast growth factor, and transforming growth factor–β pathways and, on the other hand, between basal-like–specific lncRNAs and the activation of epidermal growth factor receptor (EGFR)–dependent pathways and of the epithelial-to-mesenchymal transition. Finally, we showed that a specific lncRNA, which we called CYTOR, plays a role in breast cancer. We confirmed its predicted functions, showing that it regulates genes involved in the EGFR/mammalian target of rapamycin pathway and is required for cell proliferation, cell migration, and cytoskeleton organization. Overall, our work provides the most comprehensive analyses for lncRNA in breast cancers. Our findings suggest a wide range of biological functions associated with lncRNAs in breast cancer and provide a foundation for functional investigations that could lead to new therapeutic approaches.

scholarly journals Identification of drivers of breast cancer invasion by secretome analysis: insight into CTGF signaling

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Johanna W. Hellinger ◽  
Franziska Schömel ◽  
Judith V. Buse ◽  
Christof Lenz ◽  
Gerd Bauerschmitz ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Growth Factor ◽  
Cancer Cells ◽  
Cell Invasion ◽  
Transforming Growth Factor Beta ◽  
Breast Cancer Cells ◽  
Transforming Growth Factor ◽  
Tissue Growth ◽  
Dependent Manner ◽  
Mesenchymal Transition

Abstract An altered consistency of tumor microenvironment facilitates the progression of the tumor towards metastasis. Here we combine data from secretome and proteome analysis using mass spectrometry with microarray data from mesenchymal transformed breast cancer cells (MCF-7-EMT) to elucidate the drivers of epithelial-mesenchymal transition (EMT) and cell invasion. Suppression of connective tissue growth factor (CTGF) reduced invasion in 2D and 3D invasion assays and expression of transforming growth factor-beta-induced protein ig-h3 (TGFBI), Zinc finger E-box-binding homeobox 1 (ZEB1) and lysyl oxidase (LOX), while the adhesion of cell-extracellular matrix (ECM) in mesenchymal transformed breast cancer cells is increased. In contrast, an enhanced expression of CTGF leads to an increased 3D invasion, expression of fibronectin 1 (FN1), secreted protein acidic and cysteine rich (SPARC) and CD44 and a reduced cell ECM adhesion. Gonadotropin-releasing hormone (GnRH) agonist Triptorelin reduces CTGF expression in a Ras homolog family member A (RhoA)-dependent manner. Our results suggest that CTGF drives breast cancer cell invasion in vitro and therefore could be an attractive therapeutic target for drug development to prevent the spread of breast cancer.

scholarly journals Identification of Long Noncoding RNAs as Predictors of Survival in Triple-Negative Breast Cancer Based on Network Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Xiao-Xiao Li ◽  
Li-Juan Wang ◽  
Jie Hou ◽  
Hong-Yang Liu ◽  
Rui Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Network Analysis ◽  
Molecular Mechanisms ◽  
Triple Negative ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Breast Cancers ◽  
Luminal A ◽  
Her2 Positive ◽  
Cancer Subtypes

Breast cancer is the most common cancer observed in adult females, worldwide. Due to the heterogeneity and varied molecular subtypes of breast cancer, the molecular mechanisms underlying carcinogenesis in different subtypes of breast cancer are distinct. Recently, long noncoding RNAs (lncRNAs) have been shown to be oncogenic or play important roles in cancer suppression and are used as biomarkers for diagnosis and therapy. In this study, we identified 134 lncRNAs and 6,414 coding genes were differentially expressed in triple-negative (TN), human epidermal growth factor receptor 2- (HER2-) positive, luminal A-positive, and luminal B-positive breast cancer. Of these, 37 lncRNAs were found to be dysregulated in all four subtypes of breast cancers. Subtypes of breast cancer special modules and lncRNA-mRNA interaction networks were constructed through weighted gene coexpression network analysis (WGCNA). Survival analysis of another public datasets was used to verify the identified lncRNAs exhibiting potential indicative roles in TN prognosis. Results from heat map analysis of the identified lncRNAs revealed that five blocks were significantly displayed. High expressions of lncRNAs, including LINC00911, CSMD2-AS1, LINC01192, SNHG19, DSCAM-AS1, PCAT4, ACVR28-AS1, and CNTFR-AS1, and low expressions of THAP9-AS1, MALAT1, TUG1, CAHM, FAM2011, NNT-AS1, COX10-AS1, and RPARP-AS1 were associated with low survival possibility in TN breast cancers. This study provides novel lncRNAs as potential biomarkers for the therapeutic and prognostic classification of different breast cancer subtypes.

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 Transforming Growth Factor β/NR4A1-Inducible Breast Cancer Cell Migration and Epithelial-to-Mesenchymal Transition Is p38α (Mitogen-Activated Protein Kinase 14) Dependent

2017 ◽  
Vol 37 (18) ◽  
Author(s):  
Erik Hedrick ◽  
Stephen Safe
Keyword(s):  
Breast Cancer ◽  
Cell Migration ◽  
Growth Factor ◽  
Nuclear Export ◽  
Epithelial To Mesenchymal Transition ◽  
Transforming Growth Factor ◽  
Transforming Growth Factor Β ◽  
Mitogen Activated Protein Kinase ◽  
Mesenchymal Transition ◽  
Mitogen Activated Protein

ABSTRACT Transforming growth factor β (TGF-β)-induced migration of triple-negative breast cancer (TNBC) cells is dependent on nuclear export of the orphan receptor NR4A1, which plays a role in proteasome-dependent degradation of SMAD7. In this study, we show that TGF-β induces p38α (mitogen-activated protein kinase 14 [MAPK14]), which in turn phosphorylates NR4A1, resulting in nuclear export of the receptor. TGF-β/p38α and NR4A1 also play essential roles in the induction of epithelial-to-mesenchymal transition (EMT) and induction of β-catenin in TNBC cells, and these TGF-β-induced responses and nuclear export of NR4A1 are blocked by NR4A1 antagonists, the p38 inhibitor SB202190, and kinase-dead [p38(KD)] and dominant-negative [p38(DN)] forms of p38α. Inhibition of NR4A1 nuclear export results in nuclear export of TGF-β-induced β-catenin, which then undergoes proteasome-dependent degradation. TGF-β-induced β-catenin also regulates NR4A1 expression through formation of the β-catenin–TCF-3/TCF-4/LEF-1 complex on the NR4A1 promoter. Thus, TGF-β-induced nuclear export of NR4A1 in TNBC cells plays an essential role in cell migration, SMAD7 degradation, EMT, and induction of β-catenin, and all of these pathways are inhibited by bis-indole-derived NR4A1 antagonists that inhibit nuclear export of the receptor and thereby block TGF-β-induced migration and EMT.

scholarly journals A Review of the Potential Role of Human Cytomegalovirus (HCMV) Infections in Breast Cancer Carcinogenesis and Abnormal Immunity

Cancers ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1842 ◽  
Author(s):  
Jürgen Geisler ◽  
Joel Touma ◽  
Afsar Rahbar ◽  
Cecilia Söderberg-Nauclér ◽  
Katja Vetvik
Keyword(s):  
Breast Cancer ◽  
Human Cytomegalovirus ◽  
Triple Negative ◽  
Breast Tumors ◽  
Active Role ◽  
Gene Products ◽  
Breast Cancers ◽  
Wide Range

Previously recognized classical human onco-viruses can regulate complex neoplastic events, and are estimated to play a role during carcinogenesis in 15–20% of cancer cases. Although the DNA and gene products of several viruses have been found in breast tumors, none of the classical onco-viruses have definitely been linked to the initiation of breast cancer. However, recent evidence shows that human cytomegalovirus (HCMV) gene products are found in >90% of tumors and metastases of breast cancers, and their increased expression can be correlated to a more aggressive breast cancer phenotype. Supporting the active role of HCMV in breast cancer, a specific HCMV strain, HCMV-DB, was recently shown to exert oncogenic transformational activity in breast epithelial cells in vitro, and to give rise to fast-growing, triple-negative breast tumors when injected into immune deficient mice. The same observation holds true for clinical studies implying increased HCMV protein expression in triple negative breast cancer biopsies. In addition to functionally being able to hijack tumor-promoting cellular events, HCMV is known to exhibit a wide range of immunosuppressive effects, which can have radical impact on the tumor microenvironment. HCMV infected cells can avoid recognition and elimination by the immune system by orchestrating polarization of immunosuppressive type II macrophages, preventing antigen presentation, by expressing T cell inhibitory molecules, and possibly, by the induction of regulatory T (Treg) cell responses. These actions would be especially deleterious for the antigenic activation and proliferation of tumor specific CD8+ cytotoxic T lymphocytes (CTLs), whose effector functions have recently been targeted by successful, experimental immunotherapy protocols. The recognition of alternative causes and drivers of breast cancer is a pivotal research topic for the development of diagnostics and novel, effective preventive and therapeutic strategies targeting both tumor cells and their microenvironments.

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