Literature DB >> 23183268

miR-1290 and its potential targets are associated with characteristics of estrogen receptor α-positive breast cancer.

Yumi Endo1, Tatsuya Toyama, Satoru Takahashi, Nobuyasu Yoshimoto, Mai Iwasa, Tomoko Asano, Yoshitaka Fujii, Hiroko Yamashita.   

Abstract

Recent analyses have identified heterogeneity in estrogen receptor α (ERα)-positive breast cancer. Subtypes called luminal A and luminal B have been identified, and the tumor characteristics, such as response to endocrine therapy and prognosis, are different in these subtypes. However, little is known about how the biological characteristics of ER-positive breast cancer are determined. In this study, expression profiles of microRNAs (miRNAs) and mRNAs in ER-positive breast cancer tissue were compared between ER(high) Ki67(low) tumors and ER(low) Ki67(high) tumors by miRNA and mRNA microarrays. Unsupervised hierarchical clustering analyses revealed distinct expression patterns of miRNAs and mRNAs in these groups. We identified a downregulation of miR-1290 in ER(high) Ki67(low) tumors. Among 11 miRNAs that were upregulated in ER(high) Ki67(low) tumors, quantitative RT-PCR detection analysis using 64 samples of frozen breast cancer tissue identified six miRNAs (let-7a, miR-15a, miR-26a, miR-34a, miR-193b, and miR-342-3p). We picked up 11 genes that were potential target genes of the selected miRNAs and that were differentially expressed in ER(high) Ki67(low) tumors and ER(low) Ki67(high) tumors. Protein expression patterns of the selected target genes were analyzed in 256 ER-positive breast cancer samples by immunohistochemistry: miR-1290 and its putative targets, BCL2, FOXA1, MAPT, and NAT1, were identified. Transfection experiments revealed that introduction of miR-1290 into ER-positive breast cancer cells decreased expression of NAT1 and FOXA1. Our results suggest that miR-1290 and its potential targets might be associated with characteristics of ER-positive breast cancer.

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Year:  2013        PMID: 23183268     DOI: 10.1530/ERC-12-0207

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  32 in total

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2.  Integrative analysis of microRNA and mRNA expression profiles in non-small-cell lung cancer.

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3.  Breast cancer extracellular vesicles-derived miR-1290 activates astrocytes in the brain metastatic microenvironment via the FOXA2→CNTF axis to promote progression of brain metastases.

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Journal:  Cancer Lett       Date:  2022-05-16       Impact factor: 9.756

4.  Three-Dimensional Organotypic Cultures Reshape the microRNAs Transcriptional Program in Breast Cancer Cells.

Authors:  Yarely M Salinas-Vera; Jesús Valdés; Alfredo Hidalgo-Miranda; Mireya Cisneros-Villanueva; Laurence A Marchat; Stephanie I Nuñez-Olvera; Rosalio Ramos-Payán; Carlos Pérez-Plasencia; Lourdes A Arriaga-Pizano; Jessica L Prieto-Chávez; César López-Camarillo
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5.  MiR-300 regulate the malignancy of breast cancer by targeting p53.

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Journal:  Int J Clin Exp Med       Date:  2015-05-15

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Authors:  Ang Li; Jun Yu; Haeryoung Kim; Christopher L Wolfgang; Marcia Irene Canto; Ralph H Hruban; Michael Goggins
Journal:  Clin Cancer Res       Date:  2013-05-22       Impact factor: 12.531

8.  High N-Acetyltransferase 1 Expression Is Associated with Estrogen Receptor Expression in Breast Tumors, but Is not Under Direct Regulation by Estradiol, 5α-androstane-3β,17β-Diol, or Dihydrotestosterone in Breast Cancer Cells.

Authors:  Xiaoyan Zhang; Samantha M Carlisle; Mark A Doll; Robert C G Martin; J Christopher States; Carolyn M Klinge; David W Hein
Journal:  J Pharmacol Exp Ther       Date:  2018-01-16       Impact factor: 4.030

9.  MicroRNA Profile to Predict Gemcitabine Resistance in Bladder Carcinoma Cell Lines.

Authors:  Spencer I Kozinn; Niall J Harty; Jessica M Delong; Christina Deliyiannis; Tanya Logvinenko; Ian C Summerhayes; John A Libertino; Antonia H Holway; Kimberly M Rieger-Christ
Journal:  Genes Cancer       Date:  2013-01

10.  Estrogen receptor-positive breast cancer molecular signatures and therapeutic potentials (Review).

Authors:  Mei Hong Zhang; Hong Tao Man; Xiao Dan Zhao; Ni Dong; Shi Liang Ma
Journal:  Biomed Rep       Date:  2013-10-25
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