Abstract A47: A microRNA signature identifies subtypes of triple-negative breast cancer and reveals miR-342-3p as regulator of a lactate metabolic pathway through silencing monocarboxylate transporter 1

• Published in: Cancer research (Chicago, Ill.) Vol. 76; no. 6_Supplement; p. A47
• Main Authors: Romero-Cordoba, Sandra L., Rodriguez-Cuevas, Sergio, Rebollar-Vega, Rosa, Bautista-Pina, Veronica, Maffuz-Aziz, Antonio, Tagliabue, Elda, Iorio, Marilena, D'Ippolito, Elvira, Baroni, Sara, Plantamura, Ilaria, Hidalgo-Miranda, Alfredo
• Format: Journal Article
• Language: English
• Published: 15.03.2016
• ISSN: 0008-5472; 1538-7445
• DOI: 10.1158/1538-7445.NONRNA15-A47

Abstract 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. We found low expression levels of miR-342-3p in TNBC tumors compared with other breast cancer phenotypes, and this down-regulation characterizes one of our miRNA subgroups with high risk to relapse. To characterize the functional its functional role, miR-342-3p was transiently transfected in the cell line MDA-MB-468, showing a decrease in cell proliferation, viability and migration rates. A gene expression profile (Human gene st, Affymetrix) revealed 140 altered mRNAs, from which 35 are potential direct targets of miR-342-3p defined by an in-silico analysis. The monocarboxylate transporter 1(MCT1), was confirmed as one target of miR-342-3p by a luciferase assay and western blot analysis. MCT1 repression by the miRNA promotes lactate efflux changes in the tumor cells, reflected in the accumulation of exogenous lactate and the increase in levels of extracellular endogenous lactate together with a decrease level of intra and inter cellular glucose concentration. We also explored other mechanisms that can contribute to the modulation of lactate and glucose levels such as the expression of MCT4, HIF1alpha and Glut1, but not significant changes were observed, pointing out the important role of the regulatory circuit of miR-342-3p and MCT1 in a particular TNBC tumor cells metabolism. These data suggest a metabolic change that favors a more glycolytic environment, which lead to a glucose deprivation context that may contribute to the reduction in proliferation, viability and migration capabilities already described. Furthermore, to define the main transcriptional modulator of the intronic miR-342-3p in TNBC, we evaluated the correlation between the expression of estrogen receptor, miR-342-3p and its host gene EVL in TNBC tumors from TCGA data. A significant correlation between these transcripts was observed. These results, together with information from other studies and Chip-seq analysis suggest that the ER activates the transcription of EVL and consequently the intronic miR-342-3p. We validated these correlations in our cellular model by transiently silencing of the ER. Our data provides evidence that miRNAs sub-classification signature can recapitulate the biological and clinical heterogeneity of TNBC. Moreover, show that miRNAs regulate important oncogenic pathways in TNBC cells such as: proliferation, cell movement and apoptosis in the different subgroups. Citation Format: Sandra L. Romero-Cordoba, Sergio Rodriguez-Cuevas, Rosa Rebollar-Vega, Veronica Bautista-Pina, Antonio Maffuz-Aziz, Elda Tagliabue, Marilena Iorio, Elvira D'Ippolito, Sara Baroni, Ilaria Plantamura, Alfredo Hidalgo-Miranda. A microRNA signature identifies subtypes of triple-negative breast cancer and reveals miR-342-3p as regulator of a lactate metabolic pathway through silencing monocarboxylate transporter 1. [abstract]. In: Proceedings of the AACR Special Conference on Noncoding RNAs and Cancer: Mechanisms to Medicines ; 2015 Dec 4-7; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2016;76(6 Suppl):Abstract nr A47.