Literature DB >> 22294324

Biological and prognostic associations of miR-205 and let-7b in breast cancer revealed by in situ hybridization analysis of micro-RNA expression in arrays of archival tumour tissue.

John Le Quesne1, Julia Jones, Joanna Warren, Sarah-Jane Dawson, H Raza Ali, Helen Bardwell, Fiona Blows, Paul Pharoah, Carlos Caldas.   

Abstract

Micro-RNAs (miRNAs) are frequently dysregulated in a range of human malignancies, many have been shown to act either as tumour supressors or oncogenes and several have been implicated in breast cancer. However, breast cancer is a diverse disease and little is known about the relationships between miRNA expression, clinical outcome and tumour subtype. We used locked nucleic acid probe in situ hybridization (LNA-ISH) to visualize, in tissue micro-arrays (TMAs) of 2919 formalin-fixed paraffin-embedded (FFPE) archival breast tumours, the expression of two key miRNAs that are frequently lost in a range of solid malignancies, let-7b and miR-205. These miRNAs were also quantified by quantitative reverse transcription PCR in cores of FFPE tissue from 40 of these cases, demonstrating that LNA-ISH is semi-quantitative. The tumours in the TMAs were assigned to subtypes based on their immunohistochemical (IHC) staining with ER, PR, HER2, CK5/6 and EGFR. let-7b expression was shown to be associated with luminal tumours and to have an independent significant positive prognostic value in this group. miR-205 is associated with tumours of ductal morphology and is of significant positive prognostic value within these tumours. We propose that the expression of miR-205 may contribute to ductal tumour morphology.
Copyright © 2012 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22294324     DOI: 10.1002/path.3983

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  35 in total

1.  MicroRNA expression profiling identifies decreased expression of miR-205 in inflammatory breast cancer.

Authors:  Lei Huo; Yan Wang; Yun Gong; Savitri Krishnamurthy; Jing Wang; Lixia Diao; Chang-Gong Liu; Xiuping Liu; Feng Lin; William F Symmans; Wei Wei; Xinna Zhang; Li Sun; Ricardo H Alvarez; Naoto T Ueno; Tamer M Fouad; Kenichi Harano; Bisrat G Debeb; Yun Wu; James Reuben; Massimo Cristofanilli; Zhuang Zuo
Journal:  Mod Pathol       Date:  2016-02-26       Impact factor: 7.842

2.  The expression and clinical significance of serum miR-205 for breast cancer and its role in detection of human cancers.

Authors:  Hui Zhang; Baowei Li; Hebao Zhao; Jin Chang
Journal:  Int J Clin Exp Med       Date:  2015-02-15

Review 3.  Noncoding RNAs in breast cancer.

Authors:  Pang-Kuo Lo; Benjamin Wolfson; Xipeng Zhou; Nadire Duru; Ramkishore Gernapudi; Qun Zhou
Journal:  Brief Funct Genomics       Date:  2015-12-18       Impact factor: 4.241

4.  A test strip electrochemical disposable by 3D MXA/AuNPs DNA-circuit for the detection of miRNAs.

Authors:  Huisi Yang; Li Wen; Xueqi Wang; Jiaying Zhao; Jiangbo Dong; Xinxue Yin; Faliang Xu; Mei Yang; Danqun Huo; Changjun Hou
Journal:  Mikrochim Acta       Date:  2022-01-06       Impact factor: 5.833

5.  Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization.

Authors:  Yogin Patel; Ji S Lee; Hexin Chen
Journal:  J Vis Exp       Date:  2016-06-07       Impact factor: 1.355

Review 6.  [microRNA expression in breast development and breast cancer].

Authors:  S Avril
Journal:  Pathologe       Date:  2013-11       Impact factor: 1.011

Review 7.  Clinical implications of microRNAs in cancer.

Authors:  L C Bovell; B D K Putcha; T Samuel; U Manne
Journal:  Biotech Histochem       Date:  2013-05-07       Impact factor: 1.718

Review 8.  microRNA-based diagnostic and therapeutic applications in cancer medicine.

Authors:  Lorenzo F Sempere; Asfar S Azmi; Anna Moore
Journal:  Wiley Interdiscip Rev RNA       Date:  2021-05-17       Impact factor: 9.957

9.  Validation of expression patterns for nine miRNAs in 204 lymph-node negative breast cancers.

Authors:  Kristin Jonsdottir; Susanne R Janssen; Fabiana C Da Rosa; Einar Gudlaugsson; Ivar Skaland; Jan P A Baak; Emiel A M Janssen
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

10.  Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival.

Authors:  P J Newcombe; H Raza Ali; F M Blows; E Provenzano; P D Pharoah; C Caldas; S Richardson
Journal:  Stat Methods Med Res       Date:  2016-09-30       Impact factor: 3.021

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