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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2015.2949</article-id>
<article-id pub-id-type="publisher-id">ijo-46-06-2526</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Let-7a inhibits growth and migration of breast cancer cells by targeting HMGA1</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>LIU</surname><given-names>KUI</given-names></name><xref rid="af1-ijo-46-06-2526" ref-type="aff">1</xref><xref rid="fn1-ijo-46-06-2526" ref-type="author-notes">*</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHANG</surname><given-names>CHUNFU</given-names></name><xref rid="af2-ijo-46-06-2526" ref-type="aff">2</xref><xref rid="fn1-ijo-46-06-2526" ref-type="author-notes">*</xref></contrib>
<contrib contrib-type="author">
<name><surname>LI</surname><given-names>TAO</given-names></name><xref rid="af1-ijo-46-06-2526" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>DING</surname><given-names>YANLING</given-names></name><xref rid="af1-ijo-46-06-2526" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>TU</surname><given-names>TAO</given-names></name><xref rid="af1-ijo-46-06-2526" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHOU</surname><given-names>FANGFANG</given-names></name><xref rid="af1-ijo-46-06-2526" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>QI</surname><given-names>WENKAI</given-names></name><xref rid="af1-ijo-46-06-2526" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>CHEN</surname><given-names>HUABIAO</given-names></name><xref rid="af1-ijo-46-06-2526" ref-type="aff">1</xref><xref rid="af3-ijo-46-06-2526" ref-type="aff">3</xref><xref ref-type="corresp" rid="c1-ijo-46-06-2526"/></contrib>
<contrib contrib-type="author">
<name><surname>SUN</surname><given-names>XIAOCHUN</given-names></name><xref rid="af1-ijo-46-06-2526" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-ijo-46-06-2526"/></contrib></contrib-group>
<aff id="af1-ijo-46-06-2526">
<label>1</label>School of Medicine, Jiangsu University, Jiangsu Key Laboratory of Clinical Laboratory Medicine, Zhenjiang, Jiangsu 212013 P.R. China</aff>
<aff id="af2-ijo-46-06-2526">
<label>2</label>The Second People&#x02019;s Hospital of Kunshan, Kunshan, Jiangsu 215300, P.R. China</aff>
<aff id="af3-ijo-46-06-2526">
<label>3</label>Vaccine and Immunotherapy Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA</aff>
<author-notes>
<corresp id="c1-ijo-46-06-2526">Correspondence to: Dr Xiaochun Sun, School of Medicine, Jiangsu University, Jiangsu Key Laboratory of Clinical Laboratory Medicine, Zhenjiang, Jiangsu 212013, P.R. China, E-mail: <email>xiaochun@ujs.edu.cn</email>. Professor Huabiao Chen, Vaccine and Immunotherapy Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, E-mail: <email>huabiao.chen@mgh.harvard.edu</email></corresp><fn id="fn1-ijo-46-06-2526">
<label>*</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection">
<month>6</month>
<year>2015</year></pub-date>
<pub-date pub-type="epub">
<day>01</day>
<month>04</month>
<year>2015</year></pub-date>
<volume>46</volume>
<issue>6</issue>
<fpage>2526</fpage>
<lpage>2534</lpage>
<history>
<date date-type="received">
<day>25</day>
<month>01</month>
<year>2015</year></date>
<date date-type="accepted">
<day>05</day>
<month>03</month>
<year>2015</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2015, Spandidos Publications</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>Let-7 is one of the earliest discovered microRNAs (miRNAs) and has been reported to regulate self renewal and tumorigenicity of breast cancer cells. Let-7a is a member of this family and its function has not been fully characterized in breast cancer. First, total RNAs of breast cancer cells (MDA-MB-231, MCF-7), breast cancer tissues and corresponding adjacent normal tissues were extracted and used to detect let-7a expression by qRT-PCR. Secondly, the effects of let-7a on proliferation, colony formation, migration and invasion of breast cancer cells were assessed by <italic>in vitro</italic> cell culture experiments. Finally, western blotting was performed to demonstrate how let-7a regulated HMGA1 expression. We found that let-7a expression was significantly lower in breast cancer cells and breast cancer tissues compared to corresponding adjacent normal tissues. Cell proliferation, colony formation, migration and invasion were decreased after overexpression of let-7a in breast cancer cells and vice versa. Furthermore, we identified the high mobility group A1 (HMGA1) as a potential target gene of let-7a. Protein expression of the target gene was significantly downregulated in let-7a mimic transfected breast cancer cells and significantly upregulated in let-7a inhibitor transfected breast cancer cells. Our data suggest that let-7a plays an important role as a tumor suppressor gene by targeting HMGA1, which may open novel perspectives for clinical treatments against breast cancer.</p></abstract>
<kwd-group>
<kwd>breast cancer</kwd>
<kwd>miRNA</kwd>
<kwd>let-7a</kwd>
<kwd>HMGA1</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Breast cancer is the most commonly diagnosed cancer in women, and the second leading cause of cancer deaths in the developed world. Although many advanced treatments have emerged following improvement in clinical instruments and methods, metastasis still leads to cancer mortality and poor prognosis (<xref rid="b1-ijo-46-06-2526" ref-type="bibr">1</xref>). Almost 30&#x00025; of early breast cancers eventually develop recurrence and metastasis (<xref rid="b2-ijo-46-06-2526" ref-type="bibr">2</xref>). As a result, research and development of treatment targeting breast cancer are of great importance.</p>
<p>miRNAs are endogenous, noncoding small RNAs with 20&#x02013;25 nucleotides in length (<xref rid="b3-ijo-46-06-2526" ref-type="bibr">3</xref>). They play an important regulatory role through complimentary binding of the 3&#x02032; untranslated regions (UTRs) of target genes thus resulting in the degradation of the target mRNA and inhibition of translation (<xref rid="b4-ijo-46-06-2526" ref-type="bibr">4</xref>). Since the initial discovery of miRNAs in 1993 (<xref rid="b5-ijo-46-06-2526" ref-type="bibr">5</xref>), they have been shown to affect multiple cellular processes (<xref rid="b6-ijo-46-06-2526" ref-type="bibr">6</xref>), and in particular, have been shown to play significant roles in cancer development and progression (<xref rid="b7-ijo-46-06-2526" ref-type="bibr">7</xref>,<xref rid="b8-ijo-46-06-2526" ref-type="bibr">8</xref>). Abnormal patterns of miRNA expression have been observed in various cancer types, including breast cancers (<xref rid="b6-ijo-46-06-2526" ref-type="bibr">6</xref>,<xref rid="b9-ijo-46-06-2526" ref-type="bibr">9</xref>&#x02013;<xref rid="b11-ijo-46-06-2526" ref-type="bibr">11</xref>), colon (<xref rid="b12-ijo-46-06-2526" ref-type="bibr">12</xref>), lymphomas and leukemias (<xref rid="b13-ijo-46-06-2526" ref-type="bibr">13</xref>), head and neck (<xref rid="b14-ijo-46-06-2526" ref-type="bibr">14</xref>) and hepatocellular carcinoma (<xref rid="b15-ijo-46-06-2526" ref-type="bibr">15</xref>). Functionally, abnormal miRNA expression can affect tumor cell proliferation (<xref rid="b16-ijo-46-06-2526" ref-type="bibr">16</xref>), apoptosis (<xref rid="b8-ijo-46-06-2526" ref-type="bibr">8</xref>), development of metastases (<xref rid="b17-ijo-46-06-2526" ref-type="bibr">17</xref>), invasion (<xref rid="b16-ijo-46-06-2526" ref-type="bibr">16</xref>,<xref rid="b17-ijo-46-06-2526" ref-type="bibr">17</xref>), chemo- and radiation-sensitivity (<xref rid="b18-ijo-46-06-2526" ref-type="bibr">18</xref>). Previous studies have indicated that miRNAs can be useful for cancer diagnosis and therapy (<xref rid="b19-ijo-46-06-2526" ref-type="bibr">19</xref>). Let-7 was the first identified miRNA and its downregulation has a prognostic impact on the survival of surgically treated lung cancer patients (<xref rid="b20-ijo-46-06-2526" ref-type="bibr">20</xref>). Let-7a expression increases after differentiation and in mature tissue, but is nearly undetectable in the embryonic stage (<xref rid="b21-ijo-46-06-2526" ref-type="bibr">21</xref>). Although let-7 family members can all function as tumor suppressors (<xref rid="b22-ijo-46-06-2526" ref-type="bibr">22</xref>&#x02013;<xref rid="b24-ijo-46-06-2526" ref-type="bibr">24</xref>), let-7a is the one that is the most reported to downregulate c-myc (<xref rid="b24-ijo-46-06-2526" ref-type="bibr">24</xref>&#x02013;<xref rid="b26-ijo-46-06-2526" ref-type="bibr">26</xref>).</p>
<p>In this study, we investigated function of let-7a in human breast cancer. First, total RNAs of breast cancer cells (MDA-MB-231, MCF-7), breast cancer tissues and corresponding adjacent normal tissues were extracted and used to detect let-7a expression by qRT-PCR. Secondly, the effects of let-7a on proliferation, colony formation, migration and invasion of breast cancer cells were assessed by <italic>in vitro</italic> cell culture experiments, which further clarified the role of let-7a in breast cancer development. Finally, western blotting demonstrated that let-7a negatively regulated HMGA1 protein expression which in turn contributed to tumor formation.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Breast cancer tissues and normal tissues</title>
<p>Documented informed consent was obtained from all subjects and the Ethics Committee of Jiangsu University approved all aspects of the study. Breast cancer tissues and corresponding adjacent normal tissues were obtained at the Department of Surgery, the Second People&#x02019;s Hospital of Kunshan, China. Both tumor tissues and corresponding adjacent normal tissues were histologically confirmed. The tissues obtained were immediately stored at &#x02212;80&#x000B0;C.</p></sec>
<sec>
<title>Cell culture</title>
<p>The human breast cancer cell lines MCF-7, and MDA-MB-231 were provided from Nanjing University and cultured in Dulbecco&#x02019;s modified Eagle&#x02019;s medium with low glucose (L-DMEM, Gibco) supplemented with 10&#x00025; fetal bovine serum (FBS, ExCell Biology, China) at 37&#x000B0;C in humidified 5&#x00025; CO<sub>2</sub>.</p></sec>
<sec>
<title>miRNA transfection</title>
<p>Let-7a mimics or mimics negative control (mimics NC) and let-7a inhibitor or inhibitor negative control (inhibitor NC) were synthesized and purified by GenePharma (Shanghai, China). All of the sequences are listed in <xref rid="tI-ijo-46-06-2526" ref-type="table">Table I</xref>. Transfection was performed with lipofectamine 2000 (Invitrogen). Let-7a mimics and let-7a inhibitors were used at a concentration of 100 nM. The same concentrations of mimics and inhibitor negative controls were used.</p></sec>
<sec>
<title>RNA isolation and qRT-PCR</title>
<p>The total RNA of tissues was isolated with the TRIzol reagent (Invitrogen) according to the manufacturer&#x02019;s instructions. The RNA was also isolated with the TRIzol reagent from cell lines which were transfected with let-7a mimic and negative control or let-7a inhibitor and inhibitor negative control for 24 h. For measurement of let-7a RNA expression, qRT-PCR was performed using a SYBR green-containing PCR kit (GenePharma). For the detection of HMGA1 mRNA, cDNA was synthesized from 1 &#x003BC;g of total RNA using the reverse reaction kit in accordance with the manufacturer&#x02019;s instructions (Thermo). After that, qRT-PCR was performed using UltraSYBR Mixture (with ROX) Assay kits (CWBio, China) according to the manufacturer&#x02019;s instructions. The CFX-96 real-time fluorescence thermal cycler (Bio-Rad) was used for quantitative miRNA and mRNA detection. The relative expression levels of miRNA and mRNA were normalized to the expression of U6 snRNA and &#x003B2;-actin mRNA, respectively. The expression of each gene was quantified by measuring cycle threshold (Ct) values and normalized using the 2<sup>&#x02212;&#x00394;Ct</sup> or 2<sup>&#x02212;&#x00394;&#x00394;Ct</sup> Ct method relative to U6 snRNA or &#x003B2;-actin mRNA. All the primer sequences are listed in <xref rid="tII-ijo-46-06-2526" ref-type="table">Table II</xref>.</p></sec>
<sec>
<title>Cell proliferation assay</title>
<p>Cell proliferation was measured 3 days after transfection with let-7a mimic and negative control or let-7a inhibitor and inhibitor negative control by Thiazolyl Blue Tetrazolium Bromide (MTT, Amresco). The results are represented as proliferating cells quantified at OD 490 nm by FLx800 Fluorescence Microplate Reader (BioTek). The experiment was performed in triplicate.</p></sec>
<sec>
<title>Colony forming assay</title>
<p>The tumor cells were transfected with let-7a mimic and negative control or let-7a inhibitor and inhibitor negative control for 6 h. Then, 1&#x000D7;10<sup>3</sup> cells were seeded into 6-well plates and incubated for 10 days, fixed and stained, followed by colony counting. The experiment was performed in triplicate.</p></sec>
<sec>
<title>Wound healing assay</title>
<p>The tumor cells were seeded into 6-well plates and transfected with let-7a mimic and negative control or let-7a inhibitor and inhibitor negative control and allowed to grow until 100&#x00025; confluency. Next, the cell layer was scratched through the central axis using a sterile plastic tip and loose cells were washed away by PBS. The wound healing was observed and photographed at three pre-selected time points (0, 24, and 48 h) in three randomly selected microscopic fields for each condition and time point. The experiment was performed in triplicate.</p></sec>
<sec>
<title>Cell invasion assay</title>
<p>The tumor cell invasion was evaluated using a Transwell insert (8 &#x003BC;m, Corning). Cells were transfected with let-7a mimic and negative control or let-7a inhibitor and inhibitor negative control. After 24 h, the cells were starved in L-DMEM without fetal bovine serum overnight, and then 4&#x000D7;10<sup>4</sup> cells resuspended in 0.2 ml serum-free L-DMEM were added to the upper chamber and L-DMEM containing 10&#x00025; fetal bovine serum was added to the lower chamber as a chemoattractant at 37&#x000B0;C in humidified 5&#x00025; CO<sub>2</sub> for 14 h (MDA-MB-231) or 16 h (MCF-7). The invasive cells were fixed and stained with 0.1&#x00025; crystal violet. Three low-magnification areas (x100) were randomly selected and counted for the cell numbers. The experiment was performed in triplicate.</p></sec>
<sec>
<title>Protein extraction and western blot analysis</title>
<p>Cells were transfected with let-7a mimic and negative control or let-7a inhibitor and inhibitor negative control. After 48 h, the total cellular protein of the cells was extracted using a modified radioimmunoprecipitation assay (RIPA, Vazyme Biotech, China) lysis buffer and phenylmethanesulfonyl fluoride (PMSF, Beyotime, China). The protein concentration was then determined by NanoDrop 1000 spectrophotometer (Thermo) and equal amounts of protein lysates (100 &#x003BC;g) were separated by 12&#x00025; sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE, Beyotime) and then transferred to polyvinylidene fluoride (PVDF) membrane (Beyotime). The membranes were blocked with 5&#x00025; defatted milk/TBST (20 mM Tris-HCl (pH 7.4), 150 mM NaCl, and 0.1&#x00025; Tween-20) at room temperature for 1 h and incubated with primary antibodies at 4&#x000B0;C overnight. The next day, the membranes were washed with TBST and then incubated with HRP-linked secondary antibodies (anti-rabbit IgG, diluted at 1:1000; Cell Signaling Technology). The protein bands were developed with chemiluminescence (ECL) reagents (Beyotime). The antibodies were anti-HMGA1 (diluted at 1:500; Abgent), anti-GAPDH (diluted at 1:1000; Cell Signaling Technology).</p></sec>
<sec>
<title>Statistical analysis</title>
<p>For statistical analyses, mean values with standard deviation are shown in the graphs that were generated from several repeats of biological experiments. P-values were obtained from t-tests with paired or unpaired samples and &lt;0.05 were considered significant.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Let-7a is decreased in breast cancer tissues and breast cancer cells</title>
<p>We performed qRT-PCR to determine let-7a levels in breast cancer cells, 27 breast cancer tissues and adjacent normal breast tissues. As shown in <xref rid="f1-ijo-46-06-2526" ref-type="fig">Fig. 1</xref>, the expression levels of the let-7a were downregulated in cancer tissues compared to the adjacent normal tissues. We compared let-7a expression in breast cancer cell lines MDA-MB-231 and MCF-7 which was in the similar range of that in breast cancer tissues, thus we used these two breast cancer cell lines for further experiments in this study. To confirm the function of let-7a, we transfected let-7a mimics and inhibitor into breast cancer cell lines (MDA-MB-231 and MCF-7). At 6 h after transfection of let-7a mimics and inhibitor into breast cancer cells, the transfection efficiency were estimated by fluorescence microscopy and the let-7a expression level was verified by real-time PCR (<xref rid="f2-ijo-46-06-2526" ref-type="fig">Fig. 2</xref>). We found that let-7a mimics significantly increased let-7a RNA expression while let-7a inhibitor significantly decreased let-7a RNA expression in both breast cancer cell lines.</p></sec>
<sec>
<title>Let-7a inhibits breast cancer cell proliferation</title>
<p>Breast cancer cells were treated with let-7a mimics or mimics NC and let-7a inhibitor or inhibitor NC for 24, 48, 72 h and measured the absorbance at 490 nm. Compared with the treatment with the mimics NC, cell proliferation was inhibited when cells were treated with let-7a mimics. Compared with the inhibitor NC treatment, cell proliferation was promoted when cells were treated with let-7a inhibitor (<xref rid="f3-ijo-46-06-2526" ref-type="fig">Fig. 3</xref>).</p></sec>
<sec>
<title>Let-7a decreases breast cancer cell colony formation</title>
<p>Colonies formed from let-7a mimic-transfected cells were significantly less than that of mimics NC transfected cells. The let-7a inhibitor transfected cells formed significantly more colonies than that of inhibitor NC transfected cells (<xref rid="f4-ijo-46-06-2526" ref-type="fig">Fig. 4</xref>). These data demonstrated that let-7a inhibited breast cancer cell colony formation.</p></sec>
<sec>
<title>Let-7a inhibits breast cancer cells migration</title>
<p>Cell scratch assay showed that cells transfected with let-7a mimics migrated slowly. The scratch in mimics NC treated cells was almost healed 48 h after the scratch had been made, but not in let-7a mimics treated cells. The cells transfected with let-7a inhibitor migrated more rapidly than cells transfected with inhibitor NC (<xref rid="f5-ijo-46-06-2526" ref-type="fig">Fig. 5</xref>). These data demonstrated that let-7a inhibited breast cancer cell migration.</p></sec>
<sec>
<title>Let-7a inhibited breast cancer cell invasion</title>
<p>Transwell invasion assays showed that the number of tumor cells invading out of the chamber after treatment with let-7a mimics was significantly less than that after treatment with mimics NC. The number of tumor cells invading from the chamber after treatment of let-7a inhibitor was significantly more than that after treatment with inhibitor NC, demonstrating that let-7a inhibited tumor cell invasion (<xref rid="f6-ijo-46-06-2526" ref-type="fig">Fig. 6</xref>).</p></sec>
<sec>
<title>HMGA1 is a target gene of let-7a</title>
<p><italic>In silico</italic> analyses of potential let-7a targets (<ext-link xlink:href="www.microrna.org" ext-link-type="uri">www.microrna.org</ext-link> and <ext-link xlink:href="www.targetscan.org" ext-link-type="uri">www.targetscan.org</ext-link>) indicated that the proteins of the high mobility group A1 (HMGA1) is a possible target of let-7a. HMGA1 mRNA has one potential complimentary binding site with let-7a within its 3&#x02032; UTR (<xref rid="f7-ijo-46-06-2526" ref-type="fig">Fig. 7A</xref>). Based on these results, we performed qRT-PCR assays and western blot analysis to assess the impact of let-7a on HMGA1 expression. Although we did not find apparent effects on HMGA1 mRNA expression in the breast cancer cells after treatment of let-7a mimics or mimics NC and let-7a inhibitor or inhibitor NC (<xref rid="f7-ijo-46-06-2526" ref-type="fig">Fig. 7B&#x02013;E</xref>), western blot analysis showed that HMGA1 protein expression was significantly decreased or increased in let-7a mimics or let-7a inhibitor transfected cells (<xref rid="f7-ijo-46-06-2526" ref-type="fig">Fig. 7F</xref>). These data suggest that let-7a may target HMGA1 mRNA, and inhibits its translation into proteins.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Breast cancer is the most common type of malignant tumor and its metastatic progression is a complex process (<xref rid="b27-ijo-46-06-2526" ref-type="bibr">27</xref>&#x02013;<xref rid="b30-ijo-46-06-2526" ref-type="bibr">30</xref>). At present, surgery and chemotherapy are the primary treatments for breast cancer, but many patients under chemotherapy have early tumor recurrence and metastasis, which results in poor prognosis. Consequently, it is especially important to explore targeted treatment for breast cancer. Over the last decades, miRNA has become a hotspot for research. Previous studies suggest that dysregulation of miRNAs is a common event in breast cancer (<xref rid="b31-ijo-46-06-2526" ref-type="bibr">31</xref>) and that they may thus act as key regulators of tumorigenesis of breast cancer. Based on these findings, it has been proposed that more effective targeted drugs for treatment of breast cancer may involve miRNAs.</p>
<p>Among human cancer-related miRNAs, the let-7 family has attracted significant attention because its family members are expressed aberrantly in many cancers, such as lung carcinoma, and colon carcinoma (<xref rid="b20-ijo-46-06-2526" ref-type="bibr">20</xref>,<xref rid="b22-ijo-46-06-2526" ref-type="bibr">22</xref>). As a member of the let-7 miRNA family, let-7a has been reported to be expressed at lower than normal levels in a variety of cancer (<xref rid="b32-ijo-46-06-2526" ref-type="bibr">32</xref>&#x02013;<xref rid="b34-ijo-46-06-2526" ref-type="bibr">34</xref>). However, the suppressive role of let-7a in tumorigenesis is still poorly understood. In this study, we examined the expression levels of let-7a in breast cancer cells (MDA-MB-231 and MCF-7), breast cancer tissues and corresponding adjacent normal tissues. We found that the expression of let-7a was significantly lower in breast cancer cells and breast cancer tissues than corresponding adjacent normal tissues, which suggested that downregulation of let-7a was associated with the development of breast cancer. Thus, we hypothesized that let-7a may function as a tumor suppressor. To prove the role of let-7a in breast cancer, we transfected let-7a mimics or let-7a inhibitor into breast cancer cells to induce overexpression or low expression of let-7a. Exogenous overexpression of let-7a significantly inhibited the cell growth as indicated by MTT and colony formation assays whereas low expression of let-7a significantly promote cell growth. Moreover, cell migration and invasion were also significantly decreased or increased by overexpression or low expression of let-7a in breast cancer cells as shown by wound healing and Transwell assays. Recent evidence indicated that let-7a plays a role in the progression of human tumors such as renal cell carcinoma, gastric carcinoma and hepatocellular carcinoma (<xref rid="b35-ijo-46-06-2526" ref-type="bibr">35</xref>&#x02013;<xref rid="b37-ijo-46-06-2526" ref-type="bibr">37</xref>). In addition, it has been shown that let-7a is downregulated in Burkitt&#x02019;s lymphoma and acted as an anticancer miRNA repressing C-MYC expression at the translational level (<xref rid="b38-ijo-46-06-2526" ref-type="bibr">38</xref>). These previous studies are consistent with our current data, suggesting that let-7a plays a role as a tumor suppressor in regulation of breast cancer progression.</p>
<p>In this study, we first predicted by online biological software that HMGA1 is a potential target gene of let-7a. HMGA family members have previously been reported to be involved in breast carcinogenesis (<xref rid="b39-ijo-46-06-2526" ref-type="bibr">39</xref>). They are non-histone and DNA-binding proteins, which are often referred to as architectural transcription factors. They contain basic A-T hook domains which mediate binding to the minor groove of AT-rich regions of chromosomal DNA. Upon binding to DNA, HMGA proteins regulate gene expression by forming the transcriptional complex through protein-protein and protein-DNA interactions (<xref rid="b40-ijo-46-06-2526" ref-type="bibr">40</xref>&#x02013;<xref rid="b42-ijo-46-06-2526" ref-type="bibr">42</xref>). The HMGA family includes the products of the HMGA1 and HMGA2 genes. HMGA1 has been found to be abnormally expressed in several types of malignant tumors, including breast (<xref rid="b43-ijo-46-06-2526" ref-type="bibr">43</xref>&#x02013;<xref rid="b45-ijo-46-06-2526" ref-type="bibr">45</xref>), ovarian (<xref rid="b46-ijo-46-06-2526" ref-type="bibr">46</xref>), leukemia (<xref rid="b47-ijo-46-06-2526" ref-type="bibr">47</xref>), colon (<xref rid="b48-ijo-46-06-2526" ref-type="bibr">48</xref>), pancreatic (<xref rid="b49-ijo-46-06-2526" ref-type="bibr">49</xref>), thyroid (<xref rid="b50-ijo-46-06-2526" ref-type="bibr">50</xref>), lung (<xref rid="b51-ijo-46-06-2526" ref-type="bibr">51</xref>), prostate (<xref rid="b52-ijo-46-06-2526" ref-type="bibr">52</xref>), endometrial (<xref rid="b53-ijo-46-06-2526" ref-type="bibr">53</xref>), and head and neck malignant tumor (<xref rid="b54-ijo-46-06-2526" ref-type="bibr">54</xref>).</p>
<p>Next, we tested whether HMGA1 is a target of let-7a by qRT-PCR and western blotting. Noteworthy, we found that the mRNA expression of HMGA1 did not alter in let-7a mimics or let-7a inhibitor transfected breast cancer cells, but protein expression was significantly decreased or increased in let-7a mimics or let-7a inhibitor transfected cells. Previous studies indicated that one miRNA might have multiple mRNA targets and that one mRNA might be targeted by multiple miRNAs. When a miRNA is perfectly complementary to its target, it can specifically degrade the target mRNA (<xref rid="b55-ijo-46-06-2526" ref-type="bibr">55</xref>). However, if it is not perfectly complementary to its target, the miRNA will inhibit mRNA translation (<xref rid="b56-ijo-46-06-2526" ref-type="bibr">56</xref>). Most miRNAs are involved in the regulation of the expression of target genes through the two pathways discussed above (<xref rid="b57-ijo-46-06-2526" ref-type="bibr">57</xref>). Therefore, the result indicates that let-7a is not perfectly complementary to its target. In other words, let-7a regulates HMGA1 only at protein level, but not at the genetic level. The result also confirmed the prediction from bioinformatics.</p>
<p>Collectively, these data strongly suggested that let-7a might act as a tumor suppressor in breast cancer by targeting HMGA1. The upregulation of let-7a targeting HMGA1 shows promise as new strategy to treat breast cancer.</p></sec></body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study was supported by the foundation of the Jiangsu University for senior talented man (Grant no. 11JDG0089), the innovation project of Cultivating Graduate of Jiangsu Province (Grant no. CXLX13_689) and the Science Foundation of Kunshan (Grant no. KS1331).</p></ack>
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<floats-group>
<fig id="f1-ijo-46-06-2526" position="float">
<label>Figure 1</label>
<caption>
<p>Let-7a levels in breast cancer tissues and breast cancer cell lines. The RNA expression of let-7a was analyzed by qRT-PCR. The expression level of let-7a is significantly decreased in the breast cancer tissues and breast cell lines (MDA-MB-231, MCF-7) compared to the adjacent normal tissues. The graph represents the mean of 2<sup>&#x02212;&#x00394;Ct</sup> values &#x000B1; SEM (<sup>***</sup>P&lt;0.001). SEM, standard error of the mean.</p></caption>
<graphic xlink:href="IJO-46-06-2526-g00.gif"/></fig>
<fig id="f2-ijo-46-06-2526" position="float">
<label>Figure 2</label>
<caption>
<p>The breast cancer cells were transiently transfected with let-7a mimics and let-7a inhibitor. Transfection efficiency of the breast cell lines (MDA-MB- 231, MCF-7) was estimated by fluorescence microscopy 6 h (x200) after transfection of let-7a mimics and let-7a inhibitor, respectively, presented as FAM-expressing cells (A and D, left panel) and differential interference contrast images (A and D, right panel). qRT-PCR was used to investigate let-7a transfection efficiency. Let-7a was significantly increased or decreased in response to let-7a mimics or let-7a inhibitor compared to their negative controls (mimics NC or inhibitor NC) (B, C, E and F). The graph represents the mean of 2<sup>&#x02212;&#x00394;Ct</sup> values &#x000B1; SEM (<sup>***</sup>P&lt;0.001). SEM, standard error of the mean.</p></caption>
<graphic xlink:href="IJO-46-06-2526-g01.gif"/></fig>
<fig id="f3-ijo-46-06-2526" position="float">
<label>Figure 3</label>
<caption>
<p>Let-7a inhibited cell proliferation. The proliferation of breast cancer cells lines (MDA-MB-231, MCF-7) transfected with let-7a mimics or let-7a inhibitor were examined at various time points (24, 48 and 72 h) by MTT assays. The graph represents relative proliferation rate of cells transfected with let-7a mimics (A and C) or let-7a inhibitor (B and D) compared to their negative controls (mimics NC or inhibitor NC) shown as mean &#x000B1; SEM (<sup>*</sup>P&lt;0.05, <sup>**</sup>P&lt;0.01, <sup>***</sup>P&lt;0.001). SEM, standard error of the mean.</p></caption>
<graphic xlink:href="IJO-46-06-2526-g02.gif"/></fig>
<fig id="f4-ijo-46-06-2526" position="float">
<label>Figure 4</label>
<caption>
<p>Let-7a inhibited cell colony formation. The colonies of breast cancer cells lines (MDA-MB-231, MCF-7) transfected with let-7a mimics or let-7a inhibitor were stained by crystal violet at day 10 post-transfection and compared to their negative controls (mimics NC or inhibitor NC) (A). The graph represents the mean of colony number &#x000B1; SEM (<sup>*</sup>P&lt;0.05, <sup>**</sup>P&lt;0.01). SEM, standard error of the mean (B).</p></caption>
<graphic xlink:href="IJO-46-06-2526-g03.gif"/></fig>
<fig id="f5-ijo-46-06-2526" position="float">
<label>Figure 5</label>
<caption>
<p>Let-7a inhibits cell migration. The migration of breast cancer cell lines (MDA-MB-231, MCF-7) transfected with let-7a mimics or let-7a inhibitor was examined by the cell scratch assay. Images were taken at 0, 24 and 48 h after confluent cells had been scratched (A). The distance between the migrating front of the scratches was measured in three randomly selected microscopic fields for each condition and time point (x100). The degree of motility at 48 h after confluent cells had been scratched is expressed as percentage of wound closure which was calculated as follows: (the distance of cell migration at 48 h/the distance of scratch at 0 h) &#x000D7;100&#x00025;. The graph represents the mean of wound closure rates &#x000B1; SEM (<sup>**</sup>P&lt;0.01). SEM, standard error of the mean (B).</p></caption>
<graphic xlink:href="IJO-46-06-2526-g04.gif"/></fig>
<fig id="f6-ijo-46-06-2526" position="float">
<label>Figure 6</label>
<caption>
<p>Let-7a inhibited cell invasion. Cell invasion was analyzed by Transwell chamber assay in breast cancer cells lines (MDA-MB-231, MCF-7) transfected with let-7a mimics or let-7a inhibitor. Representative images of crystal violet-stained migrated cells were captured after 14 h for MDA-MB-231 and 16 h for MCF-7 of the invasion using an inverted microscope with &#x000D7;100 magnification (A). Quantiication of the number of crystal violet-stained cells. Data represent the number of the migrated cells shown as means &#x000B1; SEM (<sup>*</sup>P&lt;0.05, <sup>**</sup>P&lt;0.01). SEM, standard error of the mean (B).</p></caption>
<graphic xlink:href="IJO-46-06-2526-g05.gif"/></fig>
<fig id="f7-ijo-46-06-2526" position="float">
<label>Figure 7</label>
<caption>
<p>HMGA1 is a target of let-7a in breast cancer. Schematic diagram illustrated potential let-7a binding site of HMGA1 mRNA predicted <italic>in silico</italic> (A). HMGA1 mRNA expression in breast cancer cells lines (MDA-MB-231, MCF-7) at 48 h post-transfection of let-7a mimics or let-7a inhibitor was analyzed by qRT-PCR. The graph represents the relative expression levels of HMGA1 mRNA in cells transfected with let-7a mimics (B and D) or let-7a inhibitor (C and E) compared to their negative controls (mimics NC or inhibitor NC) shown as the mean of 2<sup>&#x02212;&#x00394;&#x00394;Ct</sup> values &#x000B1; SEM. SEM, standard error of the mean. HMGA1 protein expression was analyzed by western blotting at 48 h post-transfection (F). GAPDH was used as an internal control.</p></caption>
<graphic xlink:href="IJO-46-06-2526-g06.gif"/></fig>
<table-wrap id="tI-ijo-46-06-2526" position="float">
<label>Table I</label>
<caption>
<p>The sequence of let-7a mimics, let-7a inhibitor and negative control.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Name</th>
<th valign="bottom" align="center">Sequence</th></tr></thead>
<tbody>
<tr>
<td colspan="2" valign="top" align="left">Hsa-let-7a mimic</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Sense</td>
<td valign="top" align="left">5&#x02032;-UGAGGUAGUAGGUUGUAUAGUU-3&#x02032;</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Anti-sense</td>
<td valign="top" align="left">5&#x02032;-CUAUACAACCUACUACCUCAUU-3&#x02032;</td></tr>
<tr>
<td colspan="2" valign="top" align="left">Mimic-negative control</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Sense</td>
<td valign="top" align="left">5&#x02032;-UUCUCCGAACGUGUCACGUTT-3&#x02032;</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Anti-sense</td>
<td valign="top" align="left">5&#x02032;-ACGUGACACGUUCGGAGAATT-3&#x02032;</td></tr>
<tr>
<td valign="top" align="left">Hsa-let-7a inhibitor</td>
<td valign="top" align="left">5&#x02032;-AACUAUACAACCUACUACCUCA-3&#x02032;</td></tr>
<tr>
<td valign="top" align="left">Inhibitor negative control</td>
<td valign="top" align="left">5&#x02032;-CAGUACUUUUGUGUAGUACAA-3&#x02032;</td></tr></tbody></table></table-wrap>
<table-wrap id="tII-ijo-46-06-2526" position="float">
<label>Table II</label>
<caption>
<p>Specific primers for target and control genes.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Name</th>
<th valign="bottom" align="center">Sequence</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Let-7a primer</td>
<td valign="top" align="left">F: 5&#x02032;-CGATTCAGTGAGGTAGTAGGTTGT-3&#x02032;<break/>R: 5&#x02032;-TATGGTTGTTCTGCTCTCTGTCTC-3&#x02032;</td></tr>
<tr>
<td valign="top" align="left">U6snRNA primer</td>
<td valign="top" align="left">F: 5&#x02032;-ATTGGAACGATACAGAGAAGATT-3&#x02032;<break/>R: 5&#x02032;-GGAACGCTTCACGAATTTG-3&#x02032;</td></tr>
<tr>
<td valign="top" align="left">HMGA1 primer</td>
<td valign="top" align="left">F: 5&#x02032;-CAGCGAAGTGCCAACACCTA-3&#x02032;<break/>R: 5&#x02032;-AGGAAGCTGCTCCTCCAGTG-3&#x02032;</td></tr>
<tr>
<td valign="top" align="left">&#x003B2;-actin primer</td>
<td valign="top" align="left">F: 5&#x02032;-TGGCACCCAGCACAATGAA-3&#x02032;<break/>R: 5&#x02032;-CTAAGTCATAGTCCGCCTAGAAGCA-3&#x02032;</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-46-06-2526">
<p>F, forward; R, reverse.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
