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      miR-155 promotes macroscopic tumor formation yet inhibits tumor dissemination from mammary fat pads to the lung by preventing EMT

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          Abstract

          miR-155, a micro-RNA, is over-expressed in many types of cancer cells, including breast cancer, and its role(s) in tumor metastasis has been studied on a very limited basis. Tumor metastasis is a multi-step process with the last step in the process being formation of macroscopic tumor in organs distant from the primary tumor site. This step is the least studied. Here, we report that stable expression of miR-155 in 4T1 breast tumor cells reduces significantly the aggressiveness of tumor cell dissemination as a result of preventing epithelial-to-mesenchymal transition (EMT) of tumor cells in vivo. Further, miR-155 directly suppresses the expression of the transcription factor TCF4, which is an important regulator of EMT. However, when tumor cells are injected directly into the bloodstream, miR-155 remarkably promotes macroscopic tumor formation in the lung. Analysis of gene expression profiling identified a group of genes that are associated with promoting macroscopic tumor formation in the lung. Importantly, most of these genes are over-expressed in epithelial cells. Our findings provide new insight into how miR-155 modulates the development of tumor metastasis. This study suggests that the location of tumor cells over-expressing miR-155 is a critical factor: in mammary fat pads miR-155 prevents tumor dissemination; whereas in the lung miR-155 apparently maintains the epithelial phenotype of tumor cells that is critical for macroscopic tumor formation.

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          Most cited references27

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          Epithelial-mesenchymal transitions in development and disease.

          The epithelial to mesenchymal transition (EMT) plays crucial roles in the formation of the body plan and in the differentiation of multiple tissues and organs. EMT also contributes to tissue repair, but it can adversely cause organ fibrosis and promote carcinoma progression through a variety of mechanisms. EMT endows cells with migratory and invasive properties, induces stem cell properties, prevents apoptosis and senescence, and contributes to immunosuppression. Thus, the mesenchymal state is associated with the capacity of cells to migrate to distant organs and maintain stemness, allowing their subsequent differentiation into multiple cell types during development and the initiation of metastasis.
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            Comprehensive algorithm for quantitative real-time polymerase chain reaction.

            Quantitative real-time polymerase chain reactions (qRT-PCR) have become the method of choice for rapid, sensitive, quantitative comparison of RNA transcript abundance. Useful data from this method depend on fitting data to theoretical curves that allow computation of mRNA levels. Calculating accurate mRNA levels requires important parameters such as reaction efficiency and the fractional cycle number at threshold (CT) to be used; however, many algorithms currently in use estimate these important parameters. Here we describe an objective method for quantifying qRT-PCR results using calculations based on the kinetics of individual PCR reactions without the need of the standard curve, independent of any assumptions or subjective judgments which allow direct calculation of efficiency and CT. We use a four-parameter logistic model to fit the raw fluorescence data as a function of PCR cycles to identify the exponential phase of the reaction. Next, we use a three-parameter simple exponent model to fit the exponential phase using an iterative nonlinear regression algorithm. Within the exponential portion of the curve, our technique automatically identifies candidate regression values using the P-value of regression and then uses a weighted average to compute a final efficiency for quantification. For CT determination, we chose the first positive second derivative maximum from the logistic model. This algorithm provides an objective and noise-resistant method for quantification of qRT-PCR results that is independent of the specific equipment used to perform PCR reactions.
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              Accumulation of miR-155 and BIC RNA in human B cell lymphomas.

              We show that the microRNA miR-155 can be processed from sequences present in BIC RNA, a spliced and polyadenylated but non-protein-coding RNA that accumulates in lymphoma cells. The precursor of miR-155 is likely a transient spliced or unspliced nuclear BIC transcript rather than accumulated BIC RNA, which is primarily cytoplasmic. By using a sensitive and quantitative assay, we find that clinical isolates of several types of B cell lymphomas, including diffuse large B cell lymphoma (DLBCL), have 10- to 30-fold higher copy numbers of miR-155 than do normal circulating B cells. Similarly, the quantities of BIC RNA are elevated in lymphoma cells, but ratios of the amounts of the two RNAs are not constant, suggesting that the level of miR-155 is controlled by transcription and processing. Significantly higher levels of miR-155 are present in DLBCLs with an activated B cell phenotype than with the germinal center phenotype. Because patients with activated B cell-type DLBCL have a poorer clinical prognosis, quantification of this microRNA may be diagnostically useful.
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                Author and article information

                Journal
                8711562
                6325
                Oncogene
                Oncogene
                Oncogene
                0950-9232
                1476-5594
                16 July 2014
                04 April 2011
                4 August 2011
                20 August 2014
                : 30
                : 31
                : 3440-3453
                Affiliations
                [1 ]Louisville Veterans Administration Medical Center, Louisville, KY 40206
                [2 ]Brown Cancer Center, Department of Microbiology & Immunology, University o Louisville, KY 40202
                [3 ]Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294
                Author notes
                [* ]Address correspondence and reprint requests to: Dr. Huang-Ge Zhang or Dr. Xiaoyu Xiang, Brown Cancer Center, University of Louisville, CTRB 309, 505 Hancock Street, Louisville, KY 40202, H0Zhan17@ 123456louisvile.edu or x0xian02@ 123456louisville.edu
                Article
                NIHMS260800
                10.1038/onc.2011.54
                4139014
                21460854
                52e40e9c-892b-42ec-bee8-e366a2288dbd

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                Oncology & Radiotherapy
                Oncology & Radiotherapy

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