A microRNA signature identifies four subtypes of triple-negative breast cancer and correlates miR-342-3p as a regulator of the lactate metabolic pathway through silencing the monocarboxylate transporter 1
Ontology highlight
ABSTRACT:
INSTRUMENT(S): [miRNA-2] Affymetrix Multispecies miRNA-2 Array
SUBMITTER: 
Sandra Lorena Romero-Cordoba
PROVIDER: GSE86948 | GEO | 2018-08-17
SECONDARY ACCESSION(S): GSE86277 GSE86281 GSE86946 GSE86945 GSE86278
REPOSITORIES: GEO
Dataset's files
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Publications
Loss of function of miR-342-3p results in MCT1 over-expression and contributes to oncogenic metabolic reprogramming in triple negative breast cancer.
Romero-Cordoba Sandra L SL Rodriguez-Cuevas Sergio S Bautista-Pina Veronica V Maffuz-Aziz Antonio A D'Ippolito Elvira E Cosentino Giulia G Baroni Sara S Iorio Marilena V MV Hidalgo-Miranda Alfredo A
Scientific reports 20180816 1
Triple-negative breast cancer (TNBC) is a heterogeneous and aggressive neoplasia lacking the expression of hormonal receptors and human epidermal growth factor receptor-2. Accumulating evidence has highlighted the importance of miRNAs dysregulation in the establishment of cancer programs, but the functional role of many miRNAs remains unclear. The description of miRNAs roles might provide novel strategies for treatment. In the present work, an integrated analysis of miRNA transcriptional landsca ...[more]
Similar Datasets
Project description:A microRNA signature identifies four subtypes of triple-negative breast cancer and correlates miR-342-3p as a regulator of the lactate metabolic pathway through silencing the monocarboxylate transporter 1
| PRJNA343043 | ENA
Project description:Triple negative breast cancer (TNBC) represents a challenging tumor type due to their poor prognosis and limited treatment options. It is well recognize that clinical and molecular heterogeneity of TNBC is driven in part by post-transcriptional regulators such as miRNAs. To stratify TNBCs, we profiled 1050 miRNAs in 132 adjuvant TNBC tumors and 40 tumors from other immunophenotypes using an Affymetrix microarray platform. A NMF clustering analysis allowed us to identify 4 TNBC subtypes featuring unique miRNA expression patterns, disease free and overall survival rates and particular gene ontology enrichments (performed with GSEA algorithm). Our agglomerative approach was cross-validated by using two other clustering algorithms (k-means and consensus clustering). TNBC miRNAs subgroups were also correlated with the Lehmann intrinsic subtypes, finding a significant enrichment of immmnomodulartory and basal 1 subtypes in our high risk miRNA subgroups. 3 cell line models (MDA MB 468, MDA MB 231 and HS578T) were classified according to our miRNA signature, recapitulating two different miRNA subgroups. The TNBC tumors were compared against other phenotypes identifying differentially expressed miRNAs that together with the altered miRNAs within the subgroups allowed us to define interesting miRNAs for further functional analysis. Overall design: Breast cancer tumors were collected from the archives of the Fundación Mexicana de Fomento para la Prevención Oportuna del Cáncer de Mama, A.C., (FUCAM) after a carefully histopathological review by two training pathologist, according to the following criteria: adjuvant therapy and collection of the surgical sample without any treatment. We obtain triple negative tumors (ER-, PR- and Her2-) and tumors from other immunophenotype (ER+, PR+ or/and Her2+) by microdissection of tumoral cells for RNA extraction and hybridization on Affymetrix miRNA microarrays. Breast cancer tumors were collected from the archives of the Fundación Mexicana de Fomento para la Prevención Oportuna del Cáncer de Mama, A.C., (FUCAM) after a carefully histopathological review by two training pathologist, according to the following criteria: adjuvant therapy and collection of the surgical sample without any treatment. We obtain triple negative tumors (ER-, PR- and Her2-) and tumors from other immunophenotype (ER+, PR+ or/and Her2+) by microdissection of tumoral cells for RNA extraction and hybridization on Affymetrix miRNA microarrays.
2018-08-16 | GSE86277 | GEO
Project description:Triple negative breast cancer (TNBC) represents a challenging tumor type due to their poor prognosis and limited treatment options. It is well recognize that clinical and molecular heterogeneity of TNBC is driven in part by post-transcriptional regulators such as miRNAs. To stratify TNBCs, we profiled 1050 miRNAs in 132 adjuvant TNBC tumors and 40 tumors from other immunophenotypes using an Affymetrix microarray platform. A NMF clustering analysis allowed us to identify 4 TNBC subtypes featuring unique miRNA expression patterns, disease free and overall survival rates and particular gene ontology enrichments (performed with GSEA algorithm). Our agglomerative approach was cross-validated by using two other clustering algorithms (k-means and consensus clustering). TNBC miRNAs subgroups were also correlated with the Lehmann intrinsic subtypes, finding a significant enrichment of immmnomodulartory and basal 1 subtypes in our high risk miRNA subgroups. 3 cell line models (MDA MB 468, MDA MB 231 and HS578T) were classified according to our miRNA signature, recapitulating two different miRNA subgroups. The TNBC tumors were compared against other phenotypes identifying differentially expressed miRNAs that together with the altered miRNAs within the subgroups allowed us to define interesting miRNAs for further functional analysis. Overall design: Breast cancer tumors were collected from the archives of the Fondazione IRCCS Istituto Nazionale dei Tumori of Milan (INT) after a carefully histopathological review by two training pathologist, according to the following criteria: adjuvant therapy and collection of the surgical sample without any treatment. We obtain triple negative tumors (ER-, PR- and Her2-) and tumors from other immunophenotype (ER+, PR+ or/and Her2+) by microdissection of tumoral cells for RNA extraction and hybridization on Affymetrix miRNA microarrays.
2018-08-16 | GSE86281 | GEO
Project description:Triple-negative breast cancer (TNBC) is a heterogeneous and aggressive neoplasia lacking the expression of hormonal receptors and human epidermal growth factor receptor-2. Accumulating evidence has highlighted the importance of miRNAs dysregulation in the establishment of cancer programs, but the functional role of many miRNAs remains unclear. The description of miRNAs roles might provide novel strategies for treatment. In the present work, an integrated analysis of miRNA transcriptional landscape was performed (N?=?132), identifying the significant down-modulation of miR-342-3p in TNBC, probably because of the aberrant activity of estrogen receptor, which serves as a transcription factor of the miRNA, as demonstrated by a siRNA-knockdown approach. The enhanced expression of miR-342-3p significantly decreased cell proliferation, viability and migration rates of diverse TN cells in vitro. Bioinformatic and functional analyses revealed that miR-342-3p directly targets the monocarboxylate transporter 1 (MCT1), which promotes lactate and glucose fluxes alteration, thus disrupting the metabolic homeostasis of tumor cells. Optical metabolic imaging assay defined a higher optical redox ratio in glycolytic cells overexpressing miR-342-3p. Furthermore, we found that hypoxic conditions and glucose starvation attenuate miR-342-3p expression, suggesting a crosstalk program between these metabolic factors. Consistently, miR-342-3p down-modulation is associated with an increased MCT1 expression level and glycolytic score in human triple negative tumors. Overall, we described for the first time the regulatory activity of miR-342-3p on relevant metabolic carcinogenic pathways in TN breast cancers.
2018-01-01 | S-EPMC6095912 | BioStudies
Project description:BACKGROUND:miR-342-3p, localized to 14q32, is a tumor suppressor miRNA implicated in carcinogenesis. Given the presence of a promotor-associated CpG island for its host gene, EVL, we hypothesized that intronic miR-342-3p is a tumor suppressor co-regulated with host gene by promoter DNA methylation in B cell lymphoma. RESULTS:By bisulfite pyrosequencing-verified methylation-specific PCR (MSP), EVL/MIR342 methylation was detected in five (50%) lymphoma cell lines but not normal peripheral blood and tonsils. EVL/MIR342 methylation correlated with repression of both miR-342-3p and EVL in cell lines. In completely methylated SU-DHL-16 cells, 5-AzadC treatment resulted in promoter demethylation and re-expression of miR-342-3p and EVL. In 132 primary lymphoma samples, EVL/MIR342 was preferentially methylated in B cell lymphomas (N = 68; 68.7%) than T cell lymphoma (N = 8; 24.2%) by MSP (P < 0.0001). Moreover, EVL/MIR342 methylation was associated with lower miR-342-3p expression in 79 primary NHL (P = 0.0443). In SU-DHL-16 cells, the tumor suppressor function of miR-342-3p was demonstrated by the inhibition of cellular proliferation and increase of cell death upon over-expression of miR-342-3p. Mechanistically, overexpression of miR-342-3p resulted in a decrease of LC3-II, a biomarker of autophagy, which was pro-survival for SU-DHL-16. Pre-treatment with 3-methyladenine, an autophagy inhibitor, abrogated tumor suppression associated with miR-342-3p overexpression. By luciferase assay, MAP1LC3B, a precursor of LC3-II, was confirmed as a direct target of miR-342-3p. Finally, in SU-DHL-16 cells, overexpression of miR-342-3p downregulated the known target DNMT1, with promoter demethylation and re-expression of tumor suppressor E-cadherin. CONCLUSIONS:Intronic miR-342-3p is co-regulated with its host gene EVL by tumor-specific promoter DNA methylation in B cell lymphoma. The tumor suppressor function of miR-342-3p was mediated via inhibition of pro-survival autophagy by targeting MAP1LC3B and downregulation of DNMT1 with demethylation and re-expression of tumor suppressor genes.
2020-01-01 | S-EPMC7574348 | BioStudies
Project description:The aggressive triple negative breast cancers (TNBCs), which lack estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2), comprise a high-risk subset of human breast cancers which remain poorly characterized and lack effective treatments. While meta-analyses have recently suggested the complexity of these tumors, no robust phenotypes have been defined. We identified four distinct subtypes through gene expression analyses of 198 TNBCs (84 Discovery, 114 Validation). We then classified 221 publically available TNBCs profiled on the same mRNA expression array. All three sets supported stratification of tumors by cell cycle (Subtype 1 Luminal – FOXA1, LUM), DNA repair (Subtype 2, Mesenchymal – ADIPOQ, MES), downregulated immunological (Subtype 3, Basal-Like – SOX10/8, BL), and upregulated immunological (Subtype 4, Basal Immune – STAT1, BI) signaling pathways. Additional classified data sets demonstrate significantly lower risk of relapse and death with BI tumors, and highest risk with BL tumors, even after correction with known risk factors. DNA copy number profiling of our primary study set produced optimal differentiation of the LUM subtype from the remaining tumors, and drove expression of FGFR2 and CDK1 in BL and BI subtypes. Subtype-specific targets include MUC1 in LUM tumors, CTLA4 in BI tumors, and a potential dependence of MES tumors on NTRK2, DDR2, PDGFRA, TEK, and ADRB2, which, upon validation, could enable targeted treatment with tyrosine-kinase inhibitors and beta-blockers. These findings further define TNBCs and provide the rationale for studies targeting agents against these tumor subtypes, thereby enabling a higher potential for preventive efficacy in patients with TNBC. Overall design: DNA profiling analysis was conducted on 142 TNBC tumors (ER-negativity defined as Allred Scale value ≤2) with >50% cellularity (discovery set: n=84; validation set: n=58).
2015-12-25 | GSE76339 | GEO
Project description:RAW264.7 mouse macrophages were transfected with negative control and miR-342-3p mimics and subjected to microarray analysis 18 hours after the transfection. We used microarray to obtain global mRNA expression data of negative control and miR-342-3p mimics-transfected RAW264.7 cells. Overall design: RAW264.7 mouse macrophages were transfected with negative control and mir-342-3p mimics. The global mRNA expression patterns of negative control and miR-342-3p mimics-transfected RAW264.7 cells were analyzed on Affymetrix microarrays.
2016-04-29 | GSE71642 | GEO
Project description:Triple-negative breast cancer (TNBC) has been subdivided into six distinct subgroups: basal-like 1 (BL1), basal-like 2 (BL2), mesenchymal (M), mesenchymal stem-like (MSL), immunomodulatory (IM), and luminal androgen receptor (LAR). We recently identified a subgroup of TNBC with loss of the tumor suppressor PTEN and five specific microRNAs that exhibits exceedingly poor clinical outcome and contains TP53 mutation, RB1 loss and high MYC and WNT signalling. Here, show that these PTEN-low/miRNA-low lesions cluster with BL1 TNBC. These tumors exhibited high RhoA signalling and were significantly stratified on the basis of PTEN-low/RhoA-signalling-high with hazard ratios (HRs) of 8.2 (P?=?0.0009) and 4.87 (P?=?0.033) in training and test cohorts, respectively. For BL2 TNBC, we identified AKT1 copy gain/high mRNA expression as surrogate for poor prognosis (HR?=?3.9; P?=?0.02 and HR?=?6.1; P?=?0.0032). In IM, programmed cell death 1 (PD1) was elevated and predictive of poor prognosis (HR?=?5.3; P?=?0.01 and HR?=?3.5; P?<?0.004). Additional alterations, albeit without prognostic power, characterized each subtype including high E2F2 and TGF? signalling and CXCL8 expression in BL2, high IFN? and IFN? signalling and CTLA4 expression in IM, and high EGFR signalling in MSL, and may be targeted for therapy. This study identified PTEN-low/RhoA-signalling-high, and high AKT1 and PD1 expression as potent prognostications for BL1, BL2 and IM subtypes with survival differences of over 14, 2.75 and 10.5 years, respectively. This intrinsic heterogeneity could be exploited to prioritize patients for precision medicine.
2019-01-01 | S-EPMC6911070 | BioStudies
Project description:BACKGROUND:Understanding mechanisms underlying specific chemotherapeutic responses in subtypes of cancer may improve identification of treatment strategies most likely to benefit particular patients. For example, triple-negative breast cancer (TNBC) patients have variable response to the chemotherapeutic agent cisplatin. Understanding the basis of treatment response in cancer subtypes will lead to more informed decisions about selection of treatment strategies. METHODS:In this study we used an integrative functional genomics approach to investigate the molecular mechanisms underlying known cisplatin-response differences among subtypes of TNBC. To identify changes in gene expression that could explain mechanisms of resistance, we examined 102 evolutionarily conserved cisplatin-associated genes, evaluating their differential expression in the cisplatin-sensitive, basal-like 1 (BL1) and basal-like 2 (BL2) subtypes, and the two cisplatin-resistant, luminal androgen receptor (LAR) and mesenchymal (M) subtypes of TNBC. RESULTS:We found 20 genes that were differentially expressed in at least one subtype. Fifteen of the 20 genes are associated with cell death and are distributed among all TNBC subtypes. The less cisplatin-responsive LAR and M TNBC subtypes show different regulation of 13 genes compared to the more sensitive BL1 and BL2 subtypes. These 13 genes identify a variety of cisplatin-resistance mechanisms including increased transport and detoxification of cisplatin, and mis-regulation of the epithelial to mesenchymal transition. CONCLUSIONS:We identified gene signatures in resistant TNBC subtypes indicative of mechanisms of cisplatin. Our results indicate that response to cisplatin in TNBC has a complex foundation based on impact of treatment on distinct cellular pathways. We find that examination of expression data in the context of heterogeneous data such as drug-gene interactions leads to a better understanding of mechanisms at work in cancer therapy response.
2019-01-01 | S-EPMC6829976 | BioStudies
Project description:Triple negative breast cancer (TNBC) is characterized by poor prognosis and a DNA hypomethylation profile. Withaferin A (WA) is a plant derived steroidal lactone which holds promise as a therapeutic agent for treatment of breast cancer (BC). We determined genome-wide DNA methylation changes in weakly-metastatic and aggressive, metastatic BC cell lines, following 72h treatment to a sub-cytotoxic concentration of WA. In contrast to the DNA demethylating agent 5-aza-2'-deoxycytidine (DAC), WA treatment of MDA-MB-231 cells rather tackles an epigenetic cancer network through gene-specific DNA hypermethylation of tumor promoting genes including ADAM metallopeptidase domain 8 (ADAM8), urokinase-type plasminogen activator (PLAU), tumor necrosis factor (ligand) superfamily, member 12 (TNFSF12), and genes related to detoxification (glutathione S-transferase mu 1, GSTM1), or mitochondrial metabolism (malic enzyme 3, ME3). Gene expression and pathway enrichment analysis further reveals epigenetic suppression of multiple cancer hallmarks associated with cell cycle regulation, cell death, cancer cell metabolism, cell motility and metastasis. Remarkably, DNA hypermethylation of corresponding CpG sites in PLAU, ADAM8, TNSF12, GSTM1 and ME3 genes correlates with receptor tyrosine-protein kinase erbB-2 amplification (HER2)/estrogen receptor (ESR)/progesterone receptor (PR) status in primary BC tumors. Moreover, upon comparing differentially methylated WA responsive target genes with DNA methylation changes in different clinical subtypes of breast cancer patients in the cancer genome atlas (TCGA), we found that WA silences HER2/PR/ESR-dependent gene expression programs to suppress aggressive TNBC characteristics in favor of luminal BC hallmarks, with an improved therapeutic sensitivity. In this respect, WA may represent a novel and attractive phyto-pharmaceutical for TNBC treatment.
2017-01-01 | S-EPMC5522326 | BioStudies