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      MicroRNA Profiling of Salivary Duct Carcinoma Versus Her2/Neu Overexpressing Breast Carcinoma Identify miR-10a as a Putative Breast Related Oncogene

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          Abstract

          <p class="first" id="Par1">Salivary duct carcinomas (SDC) and Her2/Neu3-overexpressing invasive breast carcinomas (HNPIBC/IBC) are histologically indistinguishable. We investigated whether common histopathologic and immunophenotypic features of SDC and IBC are mirrored by a similar microRNA (miRNA) profile. MiRNA profiling of 5 SDCs, 6 IBCs Her2/Neu3+, and 5 high-grade ductal breast carcinoma in situ (DCIS) was performed by NanoString platform. Selected miRNAs and <i>HOXA1</i> gene were validated by RT-PCR. We observed similar miRNA expression profiles between IBC and SDC with the exception of 2 miRNAs, <i>miR-10a</i> and <i>miR-142-3p</i>, which were higher in IBC tumors. DCIS tumors displayed increased expression of <i>miR-10a, miR-99a, miR-331-3p</i> and <i>miR-335</i>, and decreased expression of <i>miR-15a, miR-16</i> and <i>miR-19b</i> compared to SDC. The normal salivary gland and breast tissues also showed similar expression profiles. Interestingly, <i>miR-10a</i> was selectively increased in both IBC and normal breast tissue compared to SDC and normal salivary gland tissue. Moreover, our NanoString and RT-PCR data confirmed that <i>miR-10a</i> was upregulated in IBC and DCIS compared to SDC. Finally, we show downregulation of <i>HOXA1</i>, a <i>miR-10</i> target, in IBC tumors compared to normal breast tissue. Taken together, our data demonstrates that, based on miRNA profiling, SDC is closely related to HNPIBC. Our results also suggest that <i>miR-10a</i> is differentially expressed in IBC compared to SDC and may have potential utility as a diagnostic biomarker in synchronous or metachronous malignant epithelial malignancies involving both organs. In addition, <i>miR-10a</i> could be playing an important role as a mammary-specific oncogene, involved in breast cancer initiation (DCIS) and progression (IBC), through mechanisms that include modulation of <i>HOXA1</i> gene expression. </p><div class="section"> <a class="named-anchor" id="d5612207e266"> <!-- named anchor --> </a> <h5 class="section-title" id="d5612207e267">Electronic supplementary material</h5> <p id="d5612207e269">The online version of this article (10.1007/s12105-018-0971-x) contains supplementary material, which is available to authorized users. </p> </div>

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          MicroRNA profiling: approaches and considerations.

          MicroRNAs (miRNAs) are small RNAs that post-transcriptionally regulate the expression of thousands of genes in a broad range of organisms in both normal physiological contexts and in disease contexts. miRNA expression profiling is gaining popularity because miRNAs, as key regulators in gene expression networks, can influence many biological processes and also show promise as biomarkers for disease. Technological advances have spawned a multitude of platforms for miRNA profiling, and an understanding of the strengths and pitfalls of different approaches can aid in their effective use. Here, we review the major considerations for carrying out and interpreting results of miRNA-profiling studies.
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            microRNAs exhibit high frequency genomic alterations in human cancer.

            MicroRNAs (miRNAs) are endogenous noncoding RNAs, which negatively regulate gene expression. To determine genomewide miRNA DNA copy number abnormalities in cancer, 283 known human miRNA genes were analyzed by high-resolution array-based comparative genomic hybridization in 227 human ovarian cancer, breast cancer, and melanoma specimens. A high proportion of genomic loci containing miRNA genes exhibited DNA copy number alterations in ovarian cancer (37.1%), breast cancer (72.8%), and melanoma (85.9%), where copy number alterations observed in >15% tumors were considered significant for each miRNA gene. We identified 41 miRNA genes with gene copy number changes that were shared among the three cancer types (26 with gains and 15 with losses) as well as miRNA genes with copy number changes that were unique to each tumor type. Importantly, we show that miRNA copy changes correlate with miRNA expression. Finally, we identified high frequency copy number abnormalities of Dicer1, Argonaute2, and other miRNA-associated genes in breast and ovarian cancer as well as melanoma. These findings support the notion that copy number alterations of miRNAs and their regulatory genes are highly prevalent in cancer and may account partly for the frequent miRNA gene deregulation reported in several tumor types.
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              Modulation of K-Ras-dependent lung tumorigenesis by MicroRNA-21.

              Lung cancer is the leading cause of cancer-related deaths in the world, and non-small-cell lung cancer (NSCLC) accounts for 80% of cases. MicroRNA-21 (miR-21) expression is increased and predicts poor survival in NSCLC. Although miR-21 function has been studied in vitro with cancer cell lines, the role of miR-21 in tumor development in vivo is unknown. We utilize transgenic mice with loss-of-function and gain-of-function miR-21 alleles combined with a model of NSCLC to determine the role of miR-21 in lung cancer. We show that overexpression of miR-21 enhances tumorigenesis and that genetic deletion of miR-21 partially protects against tumor formation. MiR-21 drives tumorigenesis through inhibition of negative regulators of the Ras/MEK/ERK pathway and inhibition of apoptosis. Copyright © 2010 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Head and Neck Pathology
                Head and Neck Pathol
                Springer Science and Business Media LLC
                1936-0568
                September 2019
                September 26 2018
                September 2019
                : 13
                : 3
                : 344-354
                Article
                10.1007/s12105-018-0971-x
                6684709
                30259272
                235f1152-4556-450a-980a-2b19862eb17c
                © 2019

                http://www.springer.com/tdm

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