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[Cancer Research 65, 7065-7070, August 15, 2005]
© 2005 American Association for Cancer Research


Priority Reports

MicroRNA Gene Expression Deregulation in Human Breast Cancer

Marilena V. Iorio1, Manuela Ferracin2, Chang-Gong Liu1, Angelo Veronese2, Riccardo Spizzo2, Silvia Sabbioni2, Eros Magri2, Massimo Pedriali2, Muller Fabbri1, Manuela Campiglio3, Sylvie Ménard3, Juan P. Palazzo4, Anne Rosenberg5, Piero Musiani6, Stefano Volinia1, Italo Nenci2, George A. Calin1, Patrizia Querzoli2, Massimo Negrini2 and Carlo M. Croce1

1 Comprehensive Cancer Center, Ohio State University, Columbus, Ohio; 2 Dipartimento di Medicina Sperimentale e Diagnostica, e Centro Interdipartimentale per la Ricerca sul Cancro, Università di Ferrara, Ferrara, Italy; 3 Molecular Targeting Unit, Department of Experimental Oncology, Istituto Nazionale Tumori, Milan, Italy; Departments of 4 Pathology, Anatomy and Cell Biology and 5 Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania; and 6 Ce.S.I. Aging Research Center, Chieti, Italy

Requests for reprints: Carlo M. Croce, Comprehensive Cancer Center, Ohio State University, Room 445C, Wiseman Hall, 400 12th Avenue, Columbus, OH 43210. Phone: 614-292-3063; Fax: 614-292-3312; E-mail: Carlo.Croce{at}osumc.edu.


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
MicroRNAs (miRNAs) are a class of small noncoding RNAs that control gene expression by targeting mRNAs and triggering either translation repression or RNA degradation. Their aberrant expression may be involved in human diseases, including cancer. Indeed, miRNA aberrant expression has been previously found in human chronic lymphocytic leukemias, where miRNA signatures were associated with specific clinicobiological features. Here, we show that, compared with normal breast tissue, miRNAs are also aberrantly expressed in human breast cancer. The overall miRNA expression could clearly separate normal versus cancer tissues, with the most significantly deregulated miRNAs being mir-125b, mir-145, mir-21, and mir-155. Results were confirmed by microarray and Northern blot analyses. We could identify miRNAs whose expression was correlated with specific breast cancer biopathologic features, such as estrogen and progesterone receptor expression, tumor stage, vascular invasion, or proliferation index.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
MicroRNAs (miRNAs) represent a class of naturally occurring small noncoding RNA molecules, distinct from but related to small interfering RNAs. Mature miRNAs are 19- to 25-nucleotide-long molecules cleaved from 70- to 100-nucleotide hairpin pre-miRNA precursors (1). The precursor is cleaved by cytoplasmic RNase III Dicer into ~22-nucleotide miRNA duplex: one strand (miRNA*) of the short-lived duplex is degraded, whereas the other strand serves as mature miRNA. In animals, single-stranded miRNA binds through partial sequence homology to the 3' untranslated region (3' UTR) of target mRNAs, and causes either block of translation or, less frequently, mRNA degradation. The discovery of this class of genes has identified a new layer of gene regulation mechanisms, which play an important role in development and in various cellular processes, such as differentiation, cell growth, and cell death (2). Deviations from normal pattern of expression may play a role in diseases, such as in neurologic disorders (3).

Among human diseases, it has been shown that miRNAs are aberrantly expressed or mutated in cancer, suggesting that they may play a role as a novel class of oncogenes or tumor suppressor genes. The first evidence of involvement of miRNAs in human cancer came from molecular studies characterizing the 13q14 deletion in human chronic lymphocytic leukemia (CLL), which revealed that two miRNAs, mir-15a and mir-16-1, were the only genes within the smallest common region of deletion. The same two genes were affected by a chromosomal translocation in a CLL patient. mir-16-1 and/or mir-15a were then found down-regulated in 50% to 60% of human CLL (4). Following this initial finding, miRNA expression deregulation in human cancer has been proven in other instances. For example, miR143 and miR145 are down-regulated in colon carcinomas (5). Let-7 is down-regulated in human lung carcinomas and restoration of its expression induces cell growth inhibition in lung cancer A549 cells (6). The BIC gene, which contains the miR155, is strongly up-regulated in some Burkitt's lymphoma and several other types of lymphomas (7, 8). The findings that miRNAs have a role in human cancer is further supported by the fact that >50% of miRNA genes are located at chromosomal regions, such as fragile sites, and regions of deletion or amplification that are genetically altered in human cancer (9), suggesting that the relevance of miRNAs in human cancer may be presently underestimated.

Only recently, the possibility of analyzing the entire miRNAome has become possible by the development of microarrays containing all known human miRNAs (1015). The use of miRNA microarrays made possible to confirm miR-16 deregulation in human CLL, but also recognize miRNA expression signatures associated with well-defined clinicopathologic features of human CLL (16). Recognition of miRNAs that are differentially expressed between normal and tumor samples may help to identify those that are involved in human cancer and establish the basis to unravel their pathogenic role. Here, we present results of a genome-wide miRNA expression profiling in a large set of normal and tumor breast tissues demonstrating the existence of a breast cancer–specific miRNA signature.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Breast cancer samples and cell lines. RNAs from primary tumors were from 76 samples collected at the University of Ferrara (Italy), Istituto Nazionale dei Tumori, Milano (Italy), and Thomas Jefferson University (Philadelphia, PA). Clinicopathologic information was available for 58 tumor samples. RNAs from normal samples consisted of six pools of five normal breast tissues each and four additional single breast tissues. RNAs of human breast cell lines were from Hs578-T, MCF7, T47D, BT20, SK-BR-3, HBL100, HCC2218, MDA-MB-175, MDA-MB-231, MDA-MB-361, MDA-MB-435, MDA-MB-436, MDA-MB-453, and MDA-MB-468.

Immunohistochemical analysis of breast cancer samples. Hormonal receptors were evaluated with 6F11 antibody for estrogen receptor {alpha} and PGR-1A6 for progesterone receptor (Ventana, Tucson, AZ). The proliferation index was assessed with MIB1 antibody (DAKO, Copenhagen, Denmark). ERBB2 was detected with CB11 (Ventana) and p53 protein expression was examined with DO7 (Ventana). Staining procedures were done as described (17). Only tumor cells with distinct nuclear immunostaining for estrogen receptor, progesterone receptor, Mib1, and p53 were recorded as positive. Tumor cells were considered positive for ERBB2 when they showed distinct membrane immunoreactivity. To perform a quantitative evaluation of biological markers, the Eureka Menarini computerized image analysis system was used. For each tumor section, at least 20 microscopic fields of invasive carcinoma (40x objective) were measured. The following cutoff values were used: 10% of positive nuclear area for estrogen receptor, progesterone receptor, c-erbB2, and p53; 13% of nuclei expressing Mib1 was introduced to discriminate cases with high and low proliferative activity.

MicroRNA microarray. Total RNA isolation was done with Trizol (Invitrogen, Carlsbad, CA) according to the instructions of the manufacturer. RNA labeling and hybridization on miRNA microarray chips was done as previously described (10). Briefly, 5 µg of RNA from each sample was biotin-labeled during reverse transcription using random examers. Hybridization was carried out on miRNA microarray chip (KCI version 1.0; ref. 10), which contains 368 probes, including 245 human and mouse miRNA genes, in triplicate. Hybridization signals were detected by biotin binding of a Streptavidin–Alexa 647 conjugate using a Perkin-Elmer ScanArray XL5K. Scanner images were quantified by the Quantarray software (Perkin-Elmer, Wellesley, MA).

Statistical and bioinformatic analysis of microarray data. Raw data were normalized and analyzed using the GeneSpring software version 7.2 (Silicon Genetics, Redwood City, CA). Expression data were median centered. Statistical comparisons were done by ANOVA, using the Benjamini and Hochberg correction for false-positive reductions. Prognostic miRNAs for tumor versus normal class prediction were determined by using both the Prediction Analysis of Microarrays software (PAM; ref. 18)7 and the Support Vector Machine (19) tool. Both algorithms were used for cross-validation and test-set prediction. All data were submitted using MIAMExpress to the Array Express database (accession numbers to be received upon revision).

Northern blotting. Northern blot analysis was done as previously described (4). RNA samples (10 mg each) were electrophoresed on 15% acrylamide, 7 mol/L urea Criterion precasted gels (Bio-Rad, Hercules, CA) and transferred onto Hybond-N+ membrane (Amersham Biosciences, Piscataway, NJ). Hybridization was done at 37°C in 7% SDS/0.2 mol/L Na2PO4 (pH 7.0) for 16 hours. Membranes were washed at 42°C, twice with 2x standard saline phosphate [0.18 mol/L NaCl/10 mmol/L phosphate (pH 7.4)], 1 mmol/L EDTA (saline-sodium phosphate-EDTA, SSPE), and 0.1% SDS and twice with 0.5x SSPE/0.1% SDS. The oligonucleotides used as probes are the complementary sequences of the mature miRNA (miR Registry):8 miR21 5'-TCAACATCAGTCTGATAAGCTA-3'; miR125b1: 5'-TCACAAGTTAGGGTCTCAGGGA-3'; miR145: 5'-AAGGGATTCCTGGGAAAACTGGAC-3'. An oligonucleotide complementary to the U6 RNA (5'-GCAGGGGCCATGCTAATCTTCTCTGTATCG-3') was used to normalize expression levels. Two hundred nanograms of each probe was end labeled with 100 mCi [{gamma}-32P]ATP using the polynucleotide kinase (Roche, Basel, Switzerland). Blots were stripped in boiling 0.1% SDS for 10 minutes before rehybridization.


    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
A microRNA expression signature discriminates between normal and cancer breast tissues. We used a miRNA microarray (10) to evaluate miRNA expression profiles of 10 normal and 76 neoplastic breast tissues. Each tumor sample was derived from a single specimen; 6 of the 10 normal samples consisted of pools made of five different normal breast tissue RNAs; hence, 34 normal breast samples were actually examined in the study.

To identify miRNA whose expression was significantly different between normal and tumor samples and could identify the different nature of these breast tissues, we made use of ANOVA and class prediction statistical tools.

To identify differentially expressed miRNAs among all the human miRNAs spotted on the chip, the ANOVA analysis on normalized data generated a list of differentially expressed miRNAs (at P < 0.05) between normal breasts and breast cancers (Table 1). Cluster analysis, based on differentially expressed miRNA, generated a tree with clear distinction between normal and cancer tissues (Fig. 1A).


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Table 1. miRNAs differentially expressed between breast carcinoma and normal breast tissue

 


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Figure 1. Cluster analysis and PAM prediction in breast cancer and normal breast tissues. A, tree generated by a cluster analysis showing the separation of breast cancer from normal tissues on the basis of miRNA differentially expressed (P < 0.05) between breast cancer and normal tissue (see Supplementary Table S1). The bar at the bottom indicates the group of cancer samples (red) or the group of normal breast tissues (yellow). B, PAM analysis displaying the graphical representation of the probabilities (0.0-1.0) of each sample for being a cancer or a normal tissue. All breast cancer and normal tissues were correctly predicted by the miR signature shown in Table 1. C, Northern blot analysis of human breast carcinomas and breast cancer cell lines with probes mir-125b, mir-145, and mir-21. The U6 probe was used for normalization of expression levels in the different lanes.

 
To identify the smallest set of predictive miRNAs differentiating normal versus cancer tissues, we used the Support Vector Machine (GeneSpring software; ref. 19) and PAM (18).9 Results from the two types of class prediction analysis were largely overlapping (Table 2; Fig. 1B). Among miRNAs listed in Table 2, 11 of 15 have an ANOVA P value of <0.05.


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Table 2. Normal and tumor breast tissue class predictor miRNAs

 
To confirm results obtained by microarray analysis, we carried out Northern blot analysis on some of the differentially expressed miRNAs. We analyzed the expression of mir-125b, mir-145, and mir-21 in human breast cancers and in breast cancer cell lines. All Northern blots confirmed results obtained by microarray analysis, and in many cases differences seemed even stronger than that anticipated from microarray studies (Fig. 1C).

Given that biological significance of miRNA deregulation relies on their protein-coding gene targets, we analyzed the predicted targets of the most significantly down-regulated and up-regulated miRNAs: miR-10b, miR125b, miR-145, miR-21, and miR-155. The analysis was done using the three algorithms, miRanda, TargetScan, and PicTar, commonly used to predict human miRNA gene targets (2022). Because any of the three approaches generates an unpredictable number of false positives, results were intersected to identify the genes commonly predicted by at least two of the methods. Results are shown in Supplementary Table S1.

Biopathologic features and microRNA expression. We analyzed results from miRNA expression profiles in breast cancer to evaluate whether a correlation existed with various biopathologic features associated with tumor specimens. We analyzed lobular versus ductal histotypes, breast cancers with differential estrogen receptor {alpha} or progesterone receptor expression, lymph nodes metastasis, vascular invasion, proliferation index, expression of ERBB2, and immunohistochemical detection of p53. Lobular versus ductal and ERBB2 expression classes did not reveal any differentially expressed miRNA, whereas all other comparisons revealed a small number of differentially expressed miRNAs (P < 0.05). Tumor grade was not analyzed because the only two grade 1 samples were a size too small to be compared with a large number of grade 2 or 3 samples. Complete results are shown in Table 3.


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Table 3. Differentially expressed miRNAs associated with invasive breast cancer biopathologic features

 

    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
We have analyzed 76 breast cancer and 10 normal breast samples to identify miRNAs whose expression is significantly deregulated in cancer versus normal breast tissues. We have indeed identified 29 miRNAs whose expression is significantly deregulated (at P < 0.05) and a smaller set of 15 miRNAs that were able to correctly predict the nature of the sample analyzed (i.e., tumor or normal breast tissue) with 100% accuracy. These results leave few doubts that aberrant expression of miRNA is indeed involved in human breast cancer.

Among the differentially expressed miRNAs, miR-10b, miR-125b, miR145, miR-21, and miR-155 emerged as the most consistently deregulated in breast cancer. Three of them, miR-10b, miR-125b, and miR-145, were down-regulated and the remaining two, miR-21 and miR-155, were up-regulated, suggesting that they may potentially act as tumor suppressor genes or oncogenes, respectively.

It has been reported that the miR-125b, a putative homologue of lin-4 in Caenorhabditis elegans, and the let-7 miRNAs are induced during in vitro retinoic acid–induced differentiation of Tera-2 or embryonic stem cells. Furthermore, high expression of human miR-125b seems to be present in differentiated cells or tissues (23). Here, we show that breast cancer primary tumors and cell lines show evidence of a decreased level of miR-125b expression, suggesting that lack of miR-125 may impair differentiation capabilities of cancer cells.

At present, the lack of knowledge about bona fide miRNA gene targets hampers a full understanding on the biological functions deregulated by miRNA aberrant expression. To partially overcome this limitation, we made use of presently available computational approaches to predict gene targets (21, 22, 24). Supplementary Table S1 shows targets that were predicted by at least two of the methods, and shows that various cancer-associated genes are potentially regulated by miRNAs aberrantly expressed in breast cancer.

It may be expected that targets of down-regulated miRNAs include oncogenes or genes encoding proteins with potential oncogenic functions. Indeed, among putative targets, several genes with potential oncogenic functions could be found, such as FLT1 and the v-crk homologue, the growth factor BDNF, and the transducing factor SHC1 predicted as miR-10b targets. Among putative targets of miR-125b, potential oncogenic functions included the oncogenes YES, ETS1, TEL, and AKT3; the growth factor receptor FGFR2; or members of the mitogen-activated signal transduction pathway VTS58635, MAP3K10, MAP3K11, and MAPK14. The oncogenes MYCN, FOS, YES, and FLI1; integration site of Friend leukemia virus; cell cycle promoters such as cyclins D2 and L1; and MAPK transduction proteins such as MAP3K3 and MAP4K4 were predicted targets for miR-145. Interestingly, the proto-oncogene YES and the core-binding transcription factor CBFB were potential targets of both miR-125 and miR-145.

For the up-regulated miRNAs miR-21 and miR-155, it may be expected that gene targets belong to the class of tumor suppressor genes. For miR-21, the TGFB gene was predicted as target of miR-21 by all three methods. For miR-155, potential targets included the tumor suppressor genes SOCS1 and APC, and the kinase WEE1, which blocks the activity of Cdc2 and prevents entry into mitosis. The hypoxia-inducible factor HIF1A was also a predicted target. Interestingly, among predicted genes, the tripartite motif-containing protein TRIM2, the proto-oncogene SKI, and the RAS homologues RAB6A and RAB6C were found as potential targets of both miR-21 and miR-155.

miRNAs were found differentially expressed in various biopathologic features distinctive of human breast cancer. Some of these findings are worth noticing. For example, mir-30s are all down-regulated in both estrogen receptor– and progesterone receptor–negative tumors, suggesting that expression of these miRNAs is regulated by these hormones. Another interesting observation is the finding that the expression of various let-7 miRNAs was down-regulated in breast cancer samples with either lymph node metastasis or higher proliferation index, suggesting that a reduced let-7 expression could be associated with a poor prognosis. An association between let-7 down-regulation and poor prognosis was previously reported in human lung cancer (6). The finding that the let-7 family of miRNAs regulates the expression of the RAS oncogene family provides a potential explanation for the role of the let-7 miRNAs in human cancer (25). Two miRNA, miR-145 and miR-21, whose expression could differentiate cancer versus normal tissues, were also differentially expressed in cancers with different proliferation indexes or different tumor stage. In particular, miR-145 is progressively down-regulated from normal breast to cancer with high proliferation index. Similarly, but in opposite direction, miR-21 is progressively up-regulated from normal breast to cancers with high tumor stage. These findings suggest that deregulation of these two miRNAs may affect critical molecular events involved in tumor progression. Another miRNA potentially involved in cancer progression is miR-9-3. miR-9-3 was down-regulated in breast cancers with either high vascular invasion or presence of lymph node metastasis, suggesting that its down-regulation was acquired in the course of tumor progression and, in particular, during the acquisition of cancer metastatic potential.

It has been reported that miRNA genes are frequently located in chromosomal regions characterized by nonrandom aberrations in human cancer, suggesting that resident miRNA expression might be affected by these genetic abnormalities (9). miR-125b, which is down-modulated in breast cancer, is located at chromosome 11q23-24, one of the regions most frequently deleted in breast, ovarian, and lung tumors (26, 27). The recognition of a bona fide tumor suppressor gene located at 11q23-24 involved in the pathogenesis of human breast cancer is still lacking. The miR-125b gene establishes itself as an important candidate for this role.

Results reported here increase our understanding of the molecular basis of human breast cancer and suggest that aberrant expression of miRNA genes may be important for the pathogenesis of this human neoplasm.


    Acknowledgments
 
Grant support: Associazione Italiana per la Ricerca sul Cancro; Ministero dell'Istruzione, dell'Università e della Ricerca Programma Post-genoma (FIRB no. RBNE0157EH); Ministero della Salute Italiano; Progetto CAN2005—Comitato dei Sostenitori (M. Negrini); Program Project grants P01CA76259, P01CA81534, and CA083698 (C.M. Croce) from the National Cancer Institute; and a Kimmel Scholar award (G.A. Calin).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.


    Footnotes
 
Note: Supplementary data for this article are available at Cancer Research Online (http://cancerres.aacrjournals.org/).

M.V. Iorio and M. Ferracine contributed equally to this work. R. Spizzo is a recipient of an Associazione Italiana per la Ricerca sul Cancro fellowship.

7 http://www-stat.stanford.edu/~tibs/PAM/index.html. Back

8 http://www.sanger.ac.uk/Software/Rfam/mirna/. Back

9 http://www-stat.stanford.edu/~tibs/. Back

Received 5/23/05. Revised 6/22/05. Accepted 6/24/05.


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A. M. Roccaro, A. Sacco, C. Chen, J. Runnels, X. Leleu, F. Azab, A. K. Azab, X. Jia, H. T. Ngo, M. R. Melhem, et al.
microRNA expression in the biology, prognosis, and therapy of Waldenstrom macroglobulinemia
Blood, April 30, 2009; 113(18): 4391 - 4402.
[Abstract] [Full Text] [PDF]


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Mol Cancer ResHome page
X. Hu, H. M. Stern, L. Ge, C. O'Brien, L. Haydu, C. D. Honchell, P. M. Haverty, B. A. Peters, T. D. Wu, L. C. Amler, et al.
Genetic Alterations and Oncogenic Pathways Associated with Breast Cancer Subtypes
Mol. Cancer Res., April 1, 2009; 7(4): 511 - 522.
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Anticancer ResHome page
A. SAXENA, S. K. SAXENA, and K. SHOGEN
Effect of Onconase on Double-stranded RNA In Vitro
Anticancer Res, April 1, 2009; 29(4): 1067 - 1071.
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Clin. Chem.Home page
C. L. Bartels and G. J. Tsongalis
MicroRNAs: Novel Biomarkers for Human Cancer
Clin. Chem., April 1, 2009; 55(4): 623 - 631.
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R. Visone and C. M. Croce
MiRNAs and Cancer
Am. J. Pathol., April 1, 2009; 174(4): 1131 - 1138.
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E. Bandres, N. Bitarte, F. Arias, J. Agorreta, P. Fortes, X. Agirre, R. Zarate, J. A. Diaz-Gonzalez, N. Ramirez, J. J. Sola, et al.
microRNA-451 Regulates Macrophage Migration Inhibitory Factor Production and Proliferation of Gastrointestinal Cancer Cells
Clin. Cancer Res., April 1, 2009; 15(7): 2281 - 2290.
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J. M. Friedman, G. Liang, C.-C. Liu, E. M. Wolff, Y. C. Tsai, W. Ye, X. Zhou, and P. A. Jones
The Putative Tumor Suppressor microRNA-101 Modulates the Cancer Epigenome by Repressing the Polycomb Group Protein EZH2
Cancer Res., March 15, 2009; 69(6): 2623 - 2629.
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M. V. Iorio, P. Casalini, C. Piovan, G. Di Leva, A. Merlo, T. Triulzi, S. Menard, C. M. Croce, and E. Tagliabue
microRNA-205 Regulates HER3 in Human Breast Cancer
Cancer Res., March 15, 2009; 69(6): 2195 - 2200.
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Clin. Cancer Res.Home page
Y. Hiyoshi, H. Kamohara, R. Karashima, N. Sato, Y. Imamura, Y. Nagai, N. Yoshida, E. Toyama, N. Hayashi, M. Watanabe, et al.
MicroRNA-21 Regulates the Proliferation and Invasion in Esophageal Squamous Cell Carcinoma
Clin. Cancer Res., March 15, 2009; 15(6): 1915 - 1922.
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Proc. Natl. Acad. Sci. USAHome page
M. Sachdeva, S. Zhu, F. Wu, H. Wu, V. Walia, S. Kumar, R. Elble, K. Watabe, and Y.-Y. Mo
p53 represses c-Myc through induction of the tumor suppressor miR-145
PNAS, March 3, 2009; 106(9): 3207 - 3212.
[Abstract] [Full Text] [PDF]


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Cancer Genomics ProteomicsHome page
F. E. AHMED, P. W. VOS, C. JEFFRIES, J. E. WILEY, D. A. WEIDNER, H. MOTA, C. BONNERUP, C. SIBATA, and R. R. ALLISON
Differences in mRNA and microRNA Microarray Expression Profiles in Human Colon Adenocarcinoma HT-29 Cells Treated with either Intensity-modulated Radiation Therapy (IMRT), or Conventional Radiation Therapy (RT)
Cancer Genomics Proteomics, March 1, 2009; 6(2): 109 - 127.
[Abstract] [Full Text] [PDF]


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BioinformaticsHome page
C. Chelala, A. Khan, and N. R Lemoine
SNPnexus: a web database for functional annotation of newly discovered and public domain single nucleotide polymorphisms
Bioinformatics, March 1, 2009; 25(5): 655 - 661.
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F. Wu, S. Zhu, Y. Ding, W. T. Beck, and Y.-Y. Mo
MicroRNA-mediated Regulation of Ubc9 Expression in Cancer Cells
Clin. Cancer Res., March 1, 2009; 15(5): 1550 - 1557.
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BioinformaticsHome page
F. Xin, M. Li, C. Balch, M. Thomson, M. Fan, Y. Liu, S. M. Hammond, S. Kim, and K. P. Nephew
Computational analysis of microRNA profiles and their target genes suggests significant involvement in breast cancer antiestrogen resistance
Bioinformatics, February 15, 2009; 25(4): 430 - 434.
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X. Liu, L. F. Sempere, F. Galimberti, S. J. Freemantle, C. Black, K. H. Dragnev, Y. Ma, S. Fiering, V. Memoli, H. Li, et al.
Uncovering Growth-Suppressive MicroRNAs in Lung Cancer
Clin. Cancer Res., February 15, 2009; 15(4): 1177 - 1183.
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Nucleic Acids ResHome page
Y. Lu, J. Xiao, H. Lin, Y. Bai, X. Luo, Z. Wang, and B. Yang
A single anti-microRNA antisense oligodeoxyribonucleotide (AMO) targeting multiple microRNAs offers an improved approach for microRNA interference
Nucleic Acids Res., February 1, 2009; 37(3): e24 - e24.
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E. M. C. Ohlsson Teague, K. H. Van der Hoek, M. B. Van der Hoek, N. Perry, P. Wagaarachchi, S. A. Robertson, C. G. Print, and L. M. Hull
MicroRNA-Regulated Pathways Associated with Endometriosis
Mol. Endocrinol., February 1, 2009; 23(2): 265 - 275.
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H. Su, J.-R. Yang, T. Xu, J. Huang, L. Xu, Y. Yuan, and S.-M. Zhuang
MicroRNA-101, Down-regulated in Hepatocellular Carcinoma, Promotes Apoptosis and Suppresses Tumorigenicity
Cancer Res., February 1, 2009; 69(3): 1135 - 1142.
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F. C. Amaral, N. Torres, F. Saggioro, L. Neder, H. R. Machado, W. A. Silva Jr, A. C. Moreira, and M. Castro
MicroRNAs Differentially Expressed in ACTH-Secreting Pituitary Tumors
J. Clin. Endocrinol. Metab., January 1, 2009; 94(1): 320 - 323.
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S. P. Nana-Sinkam, M. G. Hunter, G. J. Nuovo, T. D. Schmittgen, R. Gelinas, D. Galas, and C. B. Marsh
Integrating the MicroRNome into the Study of Lung Disease
Am. J. Respir. Crit. Care Med., January 1, 2009; 179(1): 4 - 10.
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Nucleic Acids ResHome page
C. Taccioli, E. Fabbri, R. Visone, S. Volinia, G. A. Calin, L. Y. Fong, R. Gambari, A. Bottoni, M. Acunzo, J. Hagan, et al.
UCbase & miRfunc: a database of ultraconserved sequences and microRNA function
Nucleic Acids Res., January 1, 2009; 37(suppl_1): D41 - D48.
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Cancer Res.Home page
C. Migliore, A. Petrelli, E. Ghiso, S. Corso, L. Capparuccia, A. Eramo, P. M. Comoglio, and S. Giordano
MicroRNAs Impair MET-Mediated Invasive Growth
Cancer Res., December 15, 2008; 68(24): 10128 - 10136.
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J. Yu, D. G. Ryan, S. Getsios, M. Oliveira-Fernandes, A. Fatima, and R. M. Lavker
MicroRNA-184 antagonizes microRNA-205 to maintain SHIP2 levels in epithelia
PNAS, December 9, 2008; 105(49): 19300 - 19305.
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Mol Cancer ResHome page
X. Agirre, A. Jimenez-Velasco, E. San Jose-Eneriz, L. Garate, E. Bandres, L. Cordeu, O. Aparicio, B. Saez, G. Navarro, A. Vilas-Zornoza, et al.
Down-Regulation of hsa-miR-10a in Chronic Myeloid Leukemia CD34+ Cells Increases USF2-Mediated Cell Growth
Mol. Cancer Res., December 1, 2008; 6(12): 1830 - 1840.
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Molecular Cancer TherapeuticsHome page
K. M. Nelson and G. J. Weiss
MicroRNAs and cancer: past, present, and potential future
Mol. Cancer Ther., December 1, 2008; 7(12): 3655 - 3660.
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BloodHome page
R. Dai, R. A. Phillips, Y. Zhang, D. Khan, O. Crasta, and S. A. Ahmed
Suppression of LPS-induced Interferon-{gamma} and nitric oxide in splenic lymphocytes by select estrogen-regulated microRNAs: a novel mechanism of immune modulation
Blood, December 1, 2008; 112(12): 4591 - 4597.
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W. Kong, H. Yang, L. He, J.-j. Zhao, D. Coppola, W. S. Dalton, and J. Q. Cheng
MicroRNA-155 Is Regulated by the Transforming Growth Factor {beta}/Smad Pathway and Contributes to Epithelial Cell Plasticity by Targeting RhoA
Mol. Cell. Biol., November 15, 2008; 28(22): 6773 - 6784.
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J. L. Bearfoot, D. Y.H. Choong, K. L. Gorringe, and I. G. Campbell
Genetic Analysis of Cancer-Implicated MicroRNA in Ovarian Cancer
Clin. Cancer Res., November 15, 2008; 14(22): 7246 - 7250.
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J.-J. Zhao, J. Lin, H. Yang, W. Kong, L. He, X. Ma, D. Coppola, and J. Q. Cheng
MicroRNA-221/222 Negatively Regulates Estrogen Receptor{alpha} and Is Associated with Tamoxifen Resistance in Breast Cancer
J. Biol. Chem., November 7, 2008; 283(45): 31079 - 31086.
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L.-X. Yan, X.-F. Huang, Q. Shao, M.-Y. Huang, L. Deng, Q.-L. Wu, Y.-X. Zeng, and J.-Y. Shao
MicroRNA miR-21 overexpression in human breast cancer is associated with advanced clinical stage, lymph node metastasis and patient poor prognosis
RNA, November 1, 2008; 14(11): 2348 - 2360.
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T. E. Miller, K. Ghoshal, B. Ramaswamy, S. Roy, J. Datta, C. L. Shapiro, S. Jacob, and S. Majumder
MicroRNA-221/222 Confers Tamoxifen Resistance in Breast Cancer by Targeting p27Kip1
J. Biol. Chem., October 31, 2008; 283(44): 29897 - 29903.
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S. D. N. Reddy, K. Ohshiro, S. K. Rayala, and R. Kumar
MicroRNA-7, a Homeobox D10 Target, Inhibits p21-Activated Kinase 1 and Regulates Its Functions
Cancer Res., October 15, 2008; 68(20): 8195 - 8200.
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L. J. Chin, E. Ratner, S. Leng, R. Zhai, S. Nallur, I. Babar, R.-U. Muller, E. Straka, L. Su, E. A. Burki, et al.
A SNP in a let-7 microRNA Complementary Site in the KRAS 3' Untranslated Region Increases Non-Small Cell Lung Cancer Risk
Cancer Res., October 15, 2008; 68(20): 8535 - 8540.
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Cancer Res.Home page
T. Papagiannakopoulos, A. Shapiro, and K. S. Kosik
MicroRNA-21 Targets a Network of Key Tumor-Suppressive Pathways in Glioblastoma Cells
Cancer Res., October 1, 2008; 68(19): 8164 - 8172.
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A. Markou, E. G. Tsaroucha, L. Kaklamanis, M. Fotinou, V. Georgoulias, and E. S. Lianidou
Prognostic Value of Mature MicroRNA-21 and MicroRNA-205 Overexpression in Non-Small Cell Lung Cancer by Quantitative Real-Time RT-PCR
Clin. Chem., October 1, 2008; 54(10): 1696 - 1704.
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Proc. Natl. Acad. Sci. USAHome page
M. Yamakuchi, M. Ferlito, and C. J. Lowenstein
miR-34a repression of SIRT1 regulates apoptosis
PNAS, September 9, 2008; 105(36): 13421 - 13426.
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Proc. Natl. Acad. Sci. USAHome page
J. A. Foekens, A. M. Sieuwerts, M. Smid, M. P. Look, V. de Weerd, A. W. M. Boersma, J. G. M. Klijn, E. A. C. Wiemer, and J. W. M. Martens
Four miRNAs associated with aggressiveness of lymph node-negative, estrogen receptor-positive human breast cancer
PNAS, September 2, 2008; 105(35): 13021 - 13026.
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W. Tam
The Emergent Role of MicroRNAs in Molecular Diagnostics of Cancer
J. Mol. Diagn., September 1, 2008; 10(5): 411 - 414.
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S. Ambs, R. L. Prueitt, M. Yi, R. S. Hudson, T. M. Howe, F. Petrocca, T. A. Wallace, C.-G. Liu, S. Volinia, G. A. Calin, et al.
Genomic Profiling of MicroRNA and Messenger RNA Reveals Deregulated MicroRNA Expression in Prostate Cancer
Cancer Res., August 1, 2008; 68(15): 6162 - 6170.
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Cancer Res.Home page
N. Kondo, T. Toyama, H. Sugiura, Y. Fujii, and H. Yamashita
miR-206 Expression Is Down-regulated in Estrogen Receptor {alpha}-Positive Human Breast Cancer
Cancer Res., July 1, 2008; 68(13): 5004 - 5008.
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Am. J. Pathol.Home page
K. Nie, M. Gomez, P. Landgraf, J.-F. Garcia, Y. Liu, L. H.C. Tan, A. Chadburn, T. Tuschl, D. M. Knowles, and W. Tam
MicroRNA-Mediated Down-Regulation of PRDM1/Blimp-1 in Hodgkin/Reed-Sternberg Cells: A Potential Pathogenetic Lesion in Hodgkin Lymphomas
Am. J. Pathol., July 1, 2008; 173(1): 242 - 252.
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Molecular Cancer TherapeuticsHome page
O. Kovalchuk, J. Filkowski, J. Meservy, Y. Ilnytskyy, V. P. Tryndyak, V. F. Chekhun, and I. P. Pogribny
Involvement of microRNA-451 in resistance of the MCF-7 breast cancer cells to chemotherapeutic drug doxorubicin
Mol. Cancer Ther., July 1, 2008; 7(7): 2152 - 2159.
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CarcinogenesisHome page
K. Chen, F. Song, G. A. Calin, Q. Wei, X. Hao, and W. Zhang
Polymorphisms in microRNA targets: a gold mine for molecular epidemiology
Carcinogenesis, July 1, 2008; 29(7): 1306 - 1311.
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CarcinogenesisHome page
A. Brendle, H. Lei, A. Brandt, R. Johansson, K. Enquist, R. Henriksson, K. Hemminki, P. Lenner, and A. Forsti
Polymorphisms in predicted microRNA-binding sites in integrin genes and breast cancer: ITGB4 as prognostic marker
Carcinogenesis, July 1, 2008; 29(7): 1394 - 1399.
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S. Kim, U. J. Lee, M. N. Kim, E.-J. Lee, J. Y. Kim, M. Y. Lee, S. Choung, Y. J. Kim, and Y.-C. Choi
MicroRNA miR-199a* Regulates the MET Proto-oncogene and the Downstream Extracellular Signal-regulated Kinase 2 (ERK2)
J. Biol. Chem., June 27, 2008; 283(26): 18158 - 18166.
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J. Virol.Home page
Q. Yin, J. McBride, C. Fewell, M. Lacey, X. Wang, Z. Lin, J. Cameron, and E. K. Flemington
MicroRNA-155 Is an Epstein-Barr Virus-Induced Gene That Modulates Epstein-Barr Virus-Regulated Gene Expression Pathways
J. Virol., June 1, 2008; 82(11): 5295 - 5306.
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Toxicol SciHome page
A. Hudder and R. F. Novak
miRNAs: Effectors of Environmental Influences on Gene Expression and Disease
Toxicol. Sci., June 1, 2008; 103(2): 228 - 240.
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BloodHome page
M. Jongen-Lavrencic, S. M. Sun, M. K. Dijkstra, P. J. M. Valk, and B. Lowenberg
MicroRNA expression profiling in relation to the genetic heterogeneity of acute myeloid leukemia
Blood, May 15, 2008; 111(10): 5078 - 5085.
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M. N. Nikiforova, G. C. Tseng, D. Steward, D. Diorio, and Y. E. Nikiforov
MicroRNA Expression Profiling of Thyroid Tumors: Biological Significance and Diagnostic Utility
J. Clin. Endocrinol. Metab., May 1, 2008; 93(5): 1600 - 1608.
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J.-W. Lee, C. H. Choi, J.-J. Choi, Y.-A. Park, S.-J. Kim, S. Y. Hwang, W. Y. Kim, T.-J. Kim, J.-H. Lee, B.-G. Kim, et al.
Altered MicroRNA Expression in Cervical Carcinomas
Clin. Cancer Res., May 1, 2008; 14(9): 2535 - 2542.
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E. J. Nam, H. Yoon, S. W. Kim, H. Kim, Y. T. Kim, J. H. Kim, J. W. Kim, and S. Kim
MicroRNA Expression Profiles in Serous Ovarian Carcinoma
Clin. Cancer Res., May 1, 2008; 14(9): 2690 - 2695.
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Proc. Natl. Acad. Sci. USAHome page
S. Sengupta, J. A. den Boon, I-H. Chen, M. A. Newton, S. A. Stanhope, Y.-J. Cheng, C.-J. Chen, A. Hildesheim, B. Sugden, and P. Ahlquist
MicroRNA 29c is down-regulated in nasopharyngeal carcinomas, up-regulating mRNAs encoding extracellular matrix proteins
PNAS, April 15, 2008; 105(15): 5874 - 5878.
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aacredbookHome page
G. A. Calin and C. M. Croce
MicroRNA-Cancer Connection: The Beginning of a New Tale
Am. Assoc. Cancer Res. Educ. Book, April 12, 2008; 2008(1): 667 - 675.
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Cancer Res.Home page
K.-i. Kozaki, I. Imoto, S. Mogi, K. Omura, and J. Inazawa
Exploration of Tumor-Suppressive MicroRNAs Silenced by DNA Hypermethylation in Oral Cancer
Cancer Res., April 1, 2008; 68(7): 2094 - 2105.
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EndocrinologyHome page
A. Cohen, M. Shmoish, L. Levi, U. Cheruti, B. Levavi-Sivan, and E. Lubzens
Alterations in Micro-Ribonucleic Acid Expression Profiles Reveal a Novel Pathway for Estrogen Regulation
Endocrinology, April 1, 2008; 149(4): 1687 - 1696.
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C. Zhang
MicroRNomics: a newly emerging approach for disease biology
Physiol Genomics, April 1, 2008; 33(2): 139 - 147.
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CarcinogenesisHome page
D. Landi, F. Gemignani, A. Naccarati, B. Pardini, P. Vodicka, L. Vodickova, J. Novotny, A. Forsti, K. Hemminki, F. Canzian, et al.
Polymorphisms within micro-RNA-binding sites and risk of sporadic colorectal cancer
Carcinogenesis, March 1, 2008; 29(3): 579 - 584.
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C. Camps, F. M. Buffa, S. Colella, J. Moore, C. Sotiriou, H. Sheldon, A. L. Harris, J. M. Gleadle, and J. Ragoussis
hsa-miR-210 Is Induced by Hypoxia and Is an Independent Prognostic Factor in Breast Cancer
Clin. Cancer Res., March 1, 2008; 14(5): 1340 - 1348.
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A. Feber, L. Xi, J. D. Luketich, A. Pennathur, R. J. Landreneau, M. Wu, S. J. Swanson, T. E. Godfrey, and V. R. Litle
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J. Thorac. Cardiovasc. Surg., February 1, 2008; 135(2): 255 - 260.
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Q. Yin, X. Wang, J. McBride, C. Fewell, and E. Flemington
B-cell Receptor Activation Induces BIC/miR-155 Expression through a Conserved AP-1 Element
J. Biol. Chem., February 1, 2008; 283(5): 2654 - 2662.
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A. J. Schetter, S. Y. Leung, J. J. Sohn, K. A. Zanetti, E. D. Bowman, N. Yanaihara, S. T. Yuen, T. L. Chan, D. L. W. Kwong, G. K. H. Au, et al.
MicroRNA Expression Profiles Associated With Prognosis and Therapeutic Outcome in Colon Adenocarcinoma
JAMA, January 30, 2008; 299(4): 425 - 436.
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H. Yang, W. Kong, L. He, J.-J. Zhao, J. D. O'Donnell, J. Wang, R. M. Wenham, D. Coppola, P. A. Kruk, S. V. Nicosia, et al.
MicroRNA Expression Profiling in Human Ovarian Cancer: miR-214 Induces Cell Survival and Cisplatin Resistance by Targeting PTEN
Cancer Res., January 15, 2008; 68(2): 425 - 433.
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MicroRNAs as Prognostic Indicators and Therapeutic Targets: Potential Effect on Breast Cancer Management
Clin. Cancer Res., January 15, 2008; 14(2): 360 - 365.
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J. Jiang, Y. Gusev, I. Aderca, T. A. Mettler, D. M. Nagorney, D. J. Brackett, L. R. Roberts, and T. D. Schmittgen
Association of MicroRNA Expression in Hepatocellular Carcinomas with Hepatitis Infection, Cirrhosis, and Patient Survival
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L. B. Frankel, N. R. Christoffersen, A. Jacobsen, M. Lindow, A. Krogh, and A. H. Lund
Programmed Cell Death 4 (PDCD4) Is an Important Functional Target of the MicroRNA miR-21 in Breast Cancer Cells
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Molecular Cancer TherapeuticsHome page
P. E. Blower, J.-H. Chung, J. S. Verducci, S. Lin, J.-K. Park, Z. Dai, C.-G. Liu, T. D. Schmittgen, W. C. Reinhold, C. M. Croce, et al.
MicroRNAs modulate the chemosensitivity of tumor cells
Mol. Cancer Ther., January 1, 2008; 7(1): 1 - 9.
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Altered MicroRNA Expression Confined to Specific Epithelial Cell Subpopulations in Breast Cancer
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An androgen-regulated miRNA suppresses Bak1 expression and induces androgen-independent growth of prostate cancer cells
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R. L. Skalsky, M. A. Samols, K. B. Plaisance, I. W. Boss, A. Riva, M. C. Lopez, H. V. Baker, and R. Renne
Kaposi's Sarcoma-Associated Herpesvirus Encodes an Ortholog of miR-155
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Cancer Res.Home page
L. Lu, D. Katsaros, I. A. Rigault de la Longrais, O. Sochirca, and H. Yu
Hypermethylation of let-7a-3 in Epithelial Ovarian Cancer Is Associated with Low Insulin-like Growth Factor-II Expression and Favorable Prognosis
Cancer Res., November 1, 2007; 67(21): 10117 - 10122.
[Abstract] [Full Text] [PDF]


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Nucleic Acids ResHome page
H. A. Meijer, M. Bushell, K. Hill, T. W. Gant, A. E. Willis, P. Jones, and C. H. de Moor
A novel method for poly(A) fractionation reveals a large population of mRNAs with a short poly(A) tail in mammalian cells
Nucleic Acids Res., October 11, 2007; (2007) gkm830v1.
[Abstract] [Full Text] [PDF]


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Proc. Natl. Acad. Sci. USAHome page
M. Gironella, M. Seux, M.-J. Xie, C. Cano, R. Tomasini, J. Gommeaux, S. Garcia, J. Nowak, M. L. Yeung, K.-T. Jeang, et al.
Tumor protein 53-induced nuclear protein 1 expression is repressed by miR-155, and its restoration inhibits pancreatic tumor development
PNAS, October 9, 2007; 104(41): 16170 - 16175.
[Abstract] [Full Text] [PDF]


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RNAHome page
X. Tang, J. Gal, X. Zhuang, W. Wang, H. Zhu, and G. Tang
A simple array platform for microRNA analysis and its application in mouse tissues
RNA, October 1, 2007; 13(10): 1803 - 1822.
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Cancer Res.Home page
M. V. Iorio, R. Visone, G. Di Leva, V. Donati, F. Petrocca, P. Casalini, C. Taccioli, S. Volinia, C.-G. Liu, H. Alder, et al.
MicroRNA Signatures in Human Ovarian Cancer
Cancer Res., September 15, 2007; 67(18): 8699 - 8707.
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J. Biol. Chem.Home page
B. Berkhout and K.-T. Jeang
RISCy Business: MicroRNAs, Pathogenesis, and Viruses
J. Biol. Chem., September 14, 2007; 282(37): 26641 - 26645.
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J. Mol. Diagn.Home page
M. Kruhoffer, L. Dyrskjot, T. Voss, R. L.P. Lindberg, R. Wyrich, T. Thykjaer, and T. F. Orntoft
Isolation of Microarray-Grade Total RNA, MicroRNA, and DNA from a Single PAXgene Blood RNA Tube
J. Mol. Diagn., September 1, 2007; 9(4): 452 - 458.
[Abstract] [Full Text] [PDF]


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Am. J. Pathol.Home page
W. Zhang, J. E. Dahlberg, and W. Tam
MicroRNAs in Tumorigenesis: A Primer
Am. J. Pathol., September 1, 2007; 171(3): 728 - 738.
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Cancer Res.Home page
C. D. Johnson, A. Esquela-Kerscher, G. Stefani, M. Byrom, K. Kelnar, D. Ovcharenko, M. Wilson, X. Wang, J. Shelton, J. Shingara, et al.
The let-7 MicroRNA Represses Cell Proliferation Pathways in Human Cells
Cancer Res., August 15, 2007; 67(16): 7713 - 7722.
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BloodHome page
D. Loffler, K. Brocke-Heidrich, G. Pfeifer, C. Stocsits, J. Hackermuller, A. K. Kretzschmar, R. Burger, M. Gramatzki, C. Blumert, K. Bauer, et al.
Interleukin-6 dependent survival of multiple myeloma cells involves the Stat3-mediated induction of microRNA-21 through a highly conserved enhancer
Blood, August 15, 2007; 110(4): 1330 - 1333.
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J. Biol. Chem.Home page
S. Galardi, N. Mercatelli, E. Giorda, S. Massalini, G. V. Frajese, S. A. Ciafre, and M. G. Farace
miR-221 and miR-222 Expression Affects the Proliferation Potential of Human Prostate Carcinoma Cell Lines by Targeting p27Kip1
J. Biol. Chem., August 10, 2007; 282(32): 23716 - 23724.
[Abstract] [Full Text] [PDF]


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Mol. Interv.Home page
A. Goga and C. Benz
Anti-Oncomir Suppression of Tumor Phenotypes
Mol. Interv., August 1, 2007; 7(4): 199 - 202.
[Abstract] [Full Text] [PDF]


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