Literature DB >> 26062749

Tumor tissue microRNA expression in association with triple-negative breast cancer outcomes.

Yan Liu1,2, Qiuyin Cai1,2, Ping-Ping Bao3, Yinghao Su1,2, Hui Cai1,2, Jie Wu1,2, Fei Ye4, Xingyi Guo1,2, Wei Zheng1,2, Ying Zheng3, Xiao-Ou Shu5,6.   

Abstract

We evaluated suggested metastasis-related microRNAs (miRNAs) for their associations with disease-free survival (DFS) and overall survival (OS) of triple-negative breast cancer (TNBC). In a cohort of 456 TNBC cases, we systematically evaluated 57 previously reported metastasis-related miRNAs in tumor tissue using the NanoString nCounter assay. Cox regression was applied to evaluate miRNA expression in association with DFS and OS. In vitro assays using the TNBC cell line MDA-MB-231 were also conducted to validate epidemiological study findings. During a median follow-up of 5.3 years, 112 deaths and 97 recurrences were documented. High levels of miR-374b-5p, miR-218-5p, or miR-126-3p, or low levels of miR-27b-3p were independently associated with a favorable TNBC outcome (P < 0.01 for all). A composite score based on the levels of these four miRNAs was associated with DFS, with hazard ratios (95 % confidence interval) of 0.70 (0.43-1.15), 0.51 (0.29-0.90), and 0.18 (0.09-0.37) for the second, third, and fourth compared to the lowest quartile. Incorporating the miRNA score with known TNBC outcome predictors, i.e., age at diagnosis, tumor stage, and basal-like subtype, increased the C-index for predicting DFS from 0.68 to 0.74. Additionally, miR-126-3p was correlated with basal-like breast cancer, and miR-374b-5p modified the therapeutic effects of 5-Fluorouracil and Cyclophosphamide treatments in basal-like breast cancer patients. Restoring miR-126-3p, miR-218-5p, or miR-374b-5p, or inhibiting miR-27b-3p in MDA-MB-231 cells reduced cell proliferation. miR-374b-5p suppressed cell invasion and miR-218-5p inhibited colonization. This study provides strong evidence that the expression levels of miR-374b-5p, miR-27b-3p, miR-126-3p, and miR-218-5p in tumor tissues predict TNBC outcomes.

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Year:  2015        PMID: 26062749      PMCID: PMC4484742          DOI: 10.1007/s10549-015-3460-x

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


  29 in total

1.  NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data.

Authors:  Daryl Waggott; Kenneth Chu; Shaoming Yin; Bradly G Wouters; Fei-Fei Liu; Paul C Boutros
Journal:  Bioinformatics       Date:  2012-04-17       Impact factor: 6.937

2.  Direct multiplexed measurement of gene expression with color-coded probe pairs.

Authors:  Gary K Geiss; Roger E Bumgarner; Brian Birditt; Timothy Dahl; Naeem Dowidar; Dwayne L Dunaway; H Perry Fell; Sean Ferree; Renee D George; Tammy Grogan; Jeffrey J James; Malini Maysuria; Jeffrey D Mitton; Paola Oliveri; Jennifer L Osborn; Tao Peng; Amber L Ratcliffe; Philippa J Webster; Eric H Davidson; Leroy Hood; Krassen Dimitrov
Journal:  Nat Biotechnol       Date:  2008-02-17       Impact factor: 54.908

3.  SLIT2, a human homologue of the Drosophila Slit2 gene, has tumor suppressor activity and is frequently inactivated in lung and breast cancers.

Authors:  Ashraf Dallol; Nancy Fernandes Da Silva; Paolo Viacava; John D Minna; Ivan Bieche; Eamonn R Maher; Farida Latif
Journal:  Cancer Res       Date:  2002-10-15       Impact factor: 12.701

4.  Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs.

Authors:  Lee P Lim; Nelson C Lau; Philip Garrett-Engele; Andrew Grimson; Janell M Schelter; John Castle; David P Bartel; Peter S Linsley; Jason M Johnson
Journal:  Nature       Date:  2005-01-30       Impact factor: 49.962

5.  A microRNA regulon that mediates endothelial recruitment and metastasis by cancer cells.

Authors:  Kim J Png; Nils Halberg; Mitsukuni Yoshida; Sohail F Tavazoie
Journal:  Nature       Date:  2011-12-14       Impact factor: 49.962

6.  Prooncogenic factors miR-23b and miR-27b are regulated by Her2/Neu, EGF, and TNF-α in breast cancer.

Authors:  Lianjin Jin; Oliver Wessely; Eric G Marcusson; Cristina Ivan; George A Calin; Suresh K Alahari
Journal:  Cancer Res       Date:  2013-01-21       Impact factor: 12.701

7.  Tumour invasion and metastasis initiated by microRNA-10b in breast cancer.

Authors:  Li Ma; Julie Teruya-Feldstein; Robert A Weinberg
Journal:  Nature       Date:  2007-09-26       Impact factor: 49.962

8.  Supervised risk predictor of breast cancer based on intrinsic subtypes.

Authors:  Joel S Parker; Michael Mullins; Maggie C U Cheang; Samuel Leung; David Voduc; Tammi Vickery; Sherri Davies; Christiane Fauron; Xiaping He; Zhiyuan Hu; John F Quackenbush; Inge J Stijleman; Juan Palazzo; J S Marron; Andrew B Nobel; Elaine Mardis; Torsten O Nielsen; Matthew J Ellis; Charles M Perou; Philip S Bernard
Journal:  J Clin Oncol       Date:  2009-02-09       Impact factor: 44.544

9.  Distinct distribution and prognostic significance of molecular subtypes of breast cancer in Chinese women: a population-based cohort study.

Authors:  Yinghao Su; Ying Zheng; Wei Zheng; Kai Gu; Zhi Chen; Guoliang Li; Qiuyin Cai; Wei Lu; Xiao Ou Shu
Journal:  BMC Cancer       Date:  2011-07-12       Impact factor: 4.430

10.  microRNA expression profiling identifies a four microRNA signature as a novel diagnostic and prognostic biomarker in triple negative breast cancers.

Authors:  Pierluigi Gasparini; Luciano Cascione; Matteo Fassan; Francesca Lovat; Gulnur Guler; Serdar Balci; Cigdem Irkkan; Carl Morrison; Carlo M Croce; Charles L Shapiro; Kay Huebner
Journal:  Oncotarget       Date:  2014-03-15
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  32 in total

1.  SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association.

Authors:  Yan Zhao; Xing Chen; Jun Yin; Jia Qu
Journal:  RNA Biol       Date:  2019-11-27       Impact factor: 4.652

Review 2.  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

3.  Paclitaxel resistance and the role of miRNAs in prostate cancer cell lines.

Authors:  Hale Samli; Murat Samli; Buse Vatansever; Sena Ardicli; Nazlihan Aztopal; Deniz Dincel; Ahmet Sahin; Faruk Balci
Journal:  World J Urol       Date:  2018-09-22       Impact factor: 4.226

4.  MicroRNA-374b inhibits breast cancer progression through regulating CCND1 and TGFA genes.

Authors:  Yan Liu; Ai Zhang; Ping-Ping Bao; Li Lin; Yina Wang; Haijian Wu; Xiao-Ou Shu; Aiguo Liu; Qiuyin Cai
Journal:  Carcinogenesis       Date:  2021-04-30       Impact factor: 4.944

Review 5.  Triple-negative breast cancer: A run-through of features, classification and current therapies.

Authors:  Meghana Manjunath; Bibha Choudhary
Journal:  Oncol Lett       Date:  2021-05-05       Impact factor: 2.967

6.  MicroRNA analysis of breast ductal fluid in breast cancer patients.

Authors:  Luisa Matos Do Canto; Catalin Marian; Shawna Willey; Mary Sidawy; Patricia A Da Cunha; Janice D Rone; Xin Li; Yuriy Gusev; Bassem R Haddad
Journal:  Int J Oncol       Date:  2016-03-10       Impact factor: 5.650

7.  miR-655 suppresses epithelial-to-mesenchymal transition by targeting Prrx1 in triple-negative breast cancer.

Authors:  Zhi-Dong Lv; Bin Kong; Xiang-Ping Liu; Li-Ying Jin; Qian Dong; Fu-Nian Li; Hai-Bo Wang
Journal:  J Cell Mol Med       Date:  2016-01-28       Impact factor: 5.310

Review 8.  MiRNAs and Other Epigenetic Changes as Biomarkers in Triple Negative Breast Cancer.

Authors:  Andrea Mathe; Rodney J Scott; Kelly A Avery-Kiejda
Journal:  Int J Mol Sci       Date:  2015-11-30       Impact factor: 5.923

9.  miR-16-5p Is a Stably-Expressed Housekeeping MicroRNA in Breast Cancer Tissues from Primary Tumors and from Metastatic Sites.

Authors:  Gabriel Rinnerthaler; Hubert Hackl; Simon Peter Gampenrieder; Frank Hamacher; Clemens Hufnagl; Cornelia Hauser-Kronberger; Franz Zehentmayr; Gerd Fastner; Felix Sedlmayer; Brigitte Mlineritsch; Richard Greil
Journal:  Int J Mol Sci       Date:  2016-01-26       Impact factor: 5.923

10.  Identification of MicroRNAs as Breast Cancer Prognosis Markers through the Cancer Genome Atlas.

Authors:  Jeremy T-H Chang; Fan Wang; William Chapin; R Stephanie Huang
Journal:  PLoS One       Date:  2016-12-13       Impact factor: 3.240

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