Literature DB >> 22976804

Deep sequencing reveals small RNA characterization of invasive micropapillary carcinomas of the breast.

Shuai Li1, Cuicui Yang, Lili Zhai, Wenwei Zhang, Jing Yu, Feng Gu, Ronggang Lang, Yu Fan, Meihua Gong, Xiuqing Zhang, Li Fu.   

Abstract

Invasive micropapillary carcinoma (IMPC) is an uncommon histological type of breast cancer. IMPC has a special growth pattern and a more aggressive behavior than invasive ductal carcinomas of no special types (IDC-NSTs). microRNAs are a large class of non-coding RNAs involved in the regulation of various biological processes. Here, we analyzed the small RNA transcriptomes of five formalin-fixed paraffin-embedded (FFPE) pure IMPC samples and five FFPE IDC-NSTs samples by means of next-generation sequencing, generating a total of >170,000,000 clean reads. In an unsupervised cluster analysis, differently expressed miRNAs generated a tree with clear distinction between IMPC and IDC-NSTs classes. Paired fresh-frozen and FFPE specimens showed very similar miRNA expression profiles. By means of RT-qPCR, we further investigated miRNA expression in more IMPC (n = 22) and IDC-NSTs (n = 24) FFPE samples and found let-7b, miR-30c, miR-148a, miR-181a, miR-181a*, and miR-181b were significantly differently expressed between the two groups. We also elucidated several features of miRNA in these breast cancer tissues including 5' variability, miRNA editing, and 3' untemplated addition. Our findings will lead to further understanding of the invasive potency of IMPC and gain an insight into the diversity and complexity of small RNA molecules in breast cancer tissues.

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Year:  2012        PMID: 22976804     DOI: 10.1007/s10549-012-2166-6

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  15 in total

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4.  Nomogram for predicting preoperative lymph node involvement in patients with invasive micropapillary carcinoma of breast: a SEER population-based study.

Authors:  Fu-Gui Ye; Chen Xia; Ding Ma; Pei-Yang Lin; Xin Hu; Zhi-Ming Shao
Journal:  BMC Cancer       Date:  2018-11-08       Impact factor: 4.430

5.  Comparison of microRNA deep sequencing of matched formalin-fixed paraffin-embedded and fresh frozen cancer tissues.

Authors:  Wei Meng; Joseph P McElroy; Stefano Volinia; Jeff Palatini; Sarah Warner; Leona W Ayers; Kamalakannan Palanichamy; Arnab Chakravarti; Tim Lautenschlaeger
Journal:  PLoS One       Date:  2013-05-16       Impact factor: 3.240

6.  Estrogen regulates the tumour suppressor MiRNA-30c and its target gene, MTA-1, in endometrial cancer.

Authors:  Xiangyi Kong; Xiaofeng Xu; Yuhua Yan; Feifei Guo; Jian Li; Yali Hu; Huaijun Zhou; Qingying Xun
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7.  Oncogenic microRNAs: miR-155, miR-19a, miR-181b, and miR-24 enable monitoring of early breast cancer in serum.

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9.  Prediction Potential of Serum miR-155 and miR-24 for Relapsing Early Breast Cancer.

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Journal:  Int J Mol Sci       Date:  2017-10-10       Impact factor: 5.923

Review 10.  Novel applications of next-generation sequencing in breast cancer research.

Authors:  Rong Ma; Jianping Gong; Xiaowei Jiang
Journal:  Genes Dis       Date:  2017-07-18
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