Literature DB >> 23803104

Differential distribution of microRNAs in breast cancer grouped by clinicopathological subtypes.

Jian-Yi Li1, Shi Jia, Wen-Hai Zhang, Yang Zhang, Ye Kang, Pi-Song Li.   

Abstract

BACKGROUND: microRNAs (miRNAs) that regulate proliferation, invasion and metastasis are considered to be the principal molecular basis of tumor heterogeneity. Breast cancer is not a homogeneous tissue. Thus, it is very important to perform microarray-based miRNA screening of tumors at different sites.
METHODS: Breast tissue samples from the centers and edges of tumors of 30 patients were classified into 5 clinicopathological subtypes. In each group, 6 specimens were examined by microRNA array. All differential miRNAs were analyzed between the edges and centers of the tumors.
RESULTS: Seventeen kinds of miRNAs were heterogeneously distributed in the tumors from different clinicopathological subtypes that included 1 kind of miRNA in Luminal A and Luminal B Her2+ subtypes, 4 kinds in Luminal A and Her2 overexpression subtypes, 6 kinds in Luminal B Ki67+ and Luminal B Her2+ subtypes, 2 kinds between Luminal B Ki67+ and triple-negative breast cancer (TNBC) subtypes, 2 kinds between Luminal B Her2+ and TNBC subtypes, and 2 kinds between Luminal B Ki67+, Luminal B Her2+, and TNBC subtypes. Twenty kinds of miRNAs were homogenously distributed in the tumors from different clinicopathological subtypes that included 6 kinds of miRNAs in Luminal B Ki67+ and Luminal B Her2+ subtypes, 1 kind in Luminal B Ki67+ and Her2 overexpression subtypes, 10 kinds between Luminal B Ki67+ and TNBC subtypes, 2 kinds in Luminal B Her2+ and TNBC subtypes, and 1 kind between Luminal B Ki67+, Luminal B Her2+, and TNBC subtypes.
CONCLUSIONS: A total of 37 miRNAs were significantly distributed in tumors from the centers to edges, and in all clinicopathological subtypes.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23803104     DOI: 10.7314/apjcp.2013.14.5.3197

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  14 in total

1.  Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.

Authors:  Basavaraj Vastrad; Chanabasayya Vastrad; Ashok Godavarthi; Raghu Chandrashekar
Journal:  Med Oncol       Date:  2017-09-26       Impact factor: 3.064

2.  MiR-374b-5p suppresses RECK expression and promotes gastric cancer cell invasion and metastasis.

Authors:  Juan Xie; Zhi-Hui Tan; Xia Tang; Ming-Shu Mo; Yan-Ping Liu; Run-Liang Gan; Yi Li; Li Zhang; Guo-Qing Li
Journal:  World J Gastroenterol       Date:  2014-12-14       Impact factor: 5.742

3.  Pyntacle: a parallel computing-enabled framework for large-scale network biology analysis.

Authors:  Luca Parca; Mauro Truglio; Tommaso Biagini; Stefano Castellana; Francesco Petrizzelli; Daniele Capocefalo; Ferenc Jordán; Massimo Carella; Tommaso Mazza
Journal:  Gigascience       Date:  2020-10-21       Impact factor: 6.524

4.  Differential microRNA expression in breast cancer with different onset age.

Authors:  Hsiu-Pei Tsai; Shiang-Fu Huang; Chien-Fan Li; Huei-Tzu Chien; Shin-Cheh Chen
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

5.  Integrated copy number and miRNA expression analysis in triple negative breast cancer of Latin American patients.

Authors:  Bruna M Sugita; Silma R Pereira; Rodrigo C de Almeida; Mandeep Gill; Akanksha Mahajan; Anju Duttargi; Saurabh Kirolikar; Paolo Fadda; Rubens S de Lima; Cicero A Urban; Kepher Makambi; Subha Madhavan; Simina M Boca; Yuriy Gusev; Iglenir J Cavalli; Enilze M S F Ribeiro; Luciane R Cavalli
Journal:  Oncotarget       Date:  2019-10-22

6.  MiR-204-3p Inhibited the Proliferation of Bladder Cancer Cells via Modulating Lactate Dehydrogenase-Mediated Glycolysis.

Authors:  Jinan Guo; Pan Zhao; Zengqin Liu; Zaishang Li; Yeqing Yuan; Xueqi Zhang; Zhou Yu; Jiequn Fang; Kefeng Xiao
Journal:  Front Oncol       Date:  2019-11-29       Impact factor: 6.244

Review 7.  MicroRNAs and triple negative breast cancer.

Authors:  Elvira D'Ippolito; Marilena V Iorio
Journal:  Int J Mol Sci       Date:  2013-11-11       Impact factor: 5.923

8.  MicroRNA expression and gene regulation drive breast cancer progression and metastasis in PyMT mice.

Authors:  Ruben Nogales-Cadenas; Ying Cai; Jhih-Rong Lin; Quanwei Zhang; Wen Zhang; Cristina Montagna; Zhengdong D Zhang
Journal:  Breast Cancer Res       Date:  2016-07-22       Impact factor: 6.466

9.  miRNA-135b Contributes to Triple Negative Breast Cancer Molecular Heterogeneity: Different Expression Profile in Basal-like Versus non-Basal-like Phenotypes.

Authors:  Paolo Uva; Paolo Cossu-Rocca; Federica Loi; Giovanna Pira; Luciano Murgia; Sandra Orrù; Matteo Floris; Maria Rosaria Muroni; Francesca Sanges; Ciriaco Carru; Andrea Angius; Maria Rosaria De Miglio
Journal:  Int J Med Sci       Date:  2018-03-09       Impact factor: 3.738

10.  Identification of miRNAs Enriched in Extracellular Vesicles Derived from Serum Samples of Breast Cancer Patients.

Authors:  Patricia M M Ozawa; Evelyn Vieira; Débora S Lemos; Ingrid L Melo Souza; Silvio M Zanata; Vânia C Pankievicz; Thalita R Tuleski; Emanuel M Souza; Pryscilla F Wowk; Cícero de Andrade Urban; Flavia Kuroda; Rubens S Lima; Rodrigo C Almeida; Daniela F Gradia; Iglenir J Cavalli; Luciane R Cavalli; Danielle Malheiros; Enilze M S F Ribeiro
Journal:  Biomolecules       Date:  2020-01-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.