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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.2013.2003</article-id>
<article-id pub-id-type="publisher-id">ijo-43-03-0765</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title><italic>Let-7g</italic> and <italic>miR-21</italic> expression in non-small cell lung cancer: Correlation with clinicopathological and molecular features</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>CAPODANNO</surname><given-names>ALESSANDRA</given-names></name><xref rid="af1-ijo-43-03-0765" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>BOLDRINI</surname><given-names>LAURA</given-names></name><xref rid="af1-ijo-43-03-0765" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>PROIETTI</surname><given-names>AGNESE</given-names></name><xref rid="af1-ijo-43-03-0765" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>AL&#x000CC;</surname><given-names>GRETA</given-names></name><xref rid="af2-ijo-43-03-0765" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>PELLICCIONI</surname><given-names>SERENA</given-names></name><xref rid="af2-ijo-43-03-0765" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>NICCOLI</surname><given-names>CRISTINA</given-names></name><xref rid="af1-ijo-43-03-0765" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>D&apos;INCECCO</surname><given-names>ARMIDA</given-names></name><xref rid="af5-ijo-43-03-0765" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>CAPPUZZO</surname><given-names>FEDERICO</given-names></name><xref rid="af5-ijo-43-03-0765" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>CHELLA</surname><given-names>ANTONIO</given-names></name><xref rid="af3-ijo-43-03-0765" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>LUCCHI</surname><given-names>MARCO</given-names></name><xref rid="af4-ijo-43-03-0765" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>MUSSI</surname><given-names>ALFREDO</given-names></name><xref rid="af1-ijo-43-03-0765" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>FONTANINI</surname><given-names>GABRIELLA</given-names></name><xref rid="af1-ijo-43-03-0765" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-ijo-43-03-0765"/></contrib></contrib-group>
<aff id="af1-ijo-43-03-0765">
<label>1</label>Department of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Italy</aff>
<aff id="af2-ijo-43-03-0765">
<label>2</label>Unit of Pathological Anatomy III, A.O.U.P., I-56126 Pisa, Italy</aff>
<aff id="af3-ijo-43-03-0765">
<label>3</label>Division of Pneumology II, A.O.U.P., I-56126 Pisa, Italy</aff>
<aff id="af4-ijo-43-03-0765">
<label>4</label>Unit of Thoracic Surgery, A.O.U.P., I-56126 Pisa, Italy</aff>
<aff id="af5-ijo-43-03-0765">
<label>5</label>Unit of Medical Oncology, Civil Hospital, I-57125 Livorno, Italy</aff>
<author-notes>
<corresp id="c1-ijo-43-03-0765">Correspondence to: Professor Gabriella Fontanini, Department of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Via Roma 57, I-56126 Pisa, Italy, E-mail: <email>gabriella.fontanini@med.unipi.it</email></corresp></author-notes>
<pub-date pub-type="collection">
<month>9</month>
<year>2013</year></pub-date>
<pub-date pub-type="epub">
<day>02</day>
<month>07</month>
<year>2013</year></pub-date>
<volume>43</volume>
<issue>3</issue>
<fpage>765</fpage>
<lpage>774</lpage>
<history>
<date date-type="received">
<day>07</day>
<month>04</month>
<year>2013</year></date>
<date date-type="accepted">
<day>17</day>
<month>05</month>
<year>2013</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2013, Spandidos Publications</copyright-statement>
<copyright-year>2013</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>MicroRNAs (miRNAs) play a key role in cancer pathogenesis and are involved in several human cancers, including non-small cell lung cancer (NSCLC). This study evaluated <italic>Let-7g</italic> and <italic>miR-21</italic> expression by quantitative real-time PCR in 80 NSCLC patients and correlated the results with their main clinicopathological and molecular features. <italic>MiR-21</italic> expression was significantly higher in NSCLC tissues compared to non-cancer lung tissues (p&lt;0.0001), while no significant changes in <italic>Let-7g</italic> expression were observed between the tumor and normal lung tissues. Target prediction analysis led to the identification of 26 <italic>miR-21</italic> and 24 <italic>Let-7g</italic> putative target genes that play important roles in cancer pathogenesis and progression. No significant association was observed between the analysed miRNAs and the main clinicopathological or molecular characteristics of the NSCLC patients, although both miRNAs were downregulated in squamous cell carcinomas compared to adenocarcinomas. Noteworthy, we observed a significant association between low <italic>Let-7g</italic> expression and metastatic lymph nodes at diagnosis (p&#x0003D;0.046), as well as between high <italic>miR-21</italic> expression and <italic>K-Ras</italic> mutations (p&#x0003D;0.0003). Survival analysis did not show any significant correlation between prognosis and the analysed miRNAs, although the patients with a high <italic>Let-7g</italic> and <italic>miR-21</italic> expression showed a significantly lower short-term progression-free survival (p&#x0003D;0.01 and p&#x0003D;0.0003, respectively) and overall survival (p&#x0003D;0.023 and p&#x0003D;0.0045, respectively). In conclusion, we showed that <italic>Let-7g</italic> and <italic>miR-21</italic> expression was deregulated in NSCLC and we demonstrated a strong relationship between <italic>miR-21</italic> overexpression and <italic>K-Ras</italic> mutations. Our data indicate that <italic>Let-7g</italic> and <italic>miR-21</italic> profiling combined with the determination of <italic>K-Ras</italic> mutational status may be considered a useful biomarker for a more effective molecular characterization and clinical management of NSCLC patients.</p></abstract>
<kwd-group>
<kwd>non-small cell lung cancer</kwd>
<kwd><italic>miR-21</italic></kwd>
<kwd><italic>Let-7g</italic></kwd>
<kwd><italic>K-Ras</italic></kwd>
<kwd>biomarker</kwd>
<kwd>prognosis</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Lung cancer is the leading cause of cancer-related mortality worldwide (<xref rid="b1-ijo-43-03-0765" ref-type="bibr">1</xref>) and 85&#x00025; of the cases are represented by non-small cell lung cancer (NSCLC), which is classified into three different histological subtypes: adenocarcinoma (ADC), squamous cell carcinoma (SCC) and large cell carcinoma (LCC) (<xref rid="b2-ijo-43-03-0765" ref-type="bibr">2</xref>&#x02013;<xref rid="b4-ijo-43-03-0765" ref-type="bibr">4</xref>). Despite a better understanding of the NSCLC pathogenesis and significant improvement in early diagnosis and treatment, the overall 5-year survival is extremely low (~15&#x00025;) and the patients show high recurrence rates even at the early disease stages (<xref rid="b1-ijo-43-03-0765" ref-type="bibr">1</xref>&#x02013;<xref rid="b7-ijo-43-03-0765" ref-type="bibr">7</xref>), highlighting the necessity of a deeper knowledge of NSCLC biology and the identification of more effective biomarkers.</p>
<p>MicroRNAs (miRNAs) are a highly conserved family of small (17&#x02013;22 nucleotides), non-coding, endogenous, single-stranded RNA molecules that negatively regulate gene expression by binding to complementary sequences on target messenger RNA (mRNA) (<xref rid="b8-ijo-43-03-0765" ref-type="bibr">8</xref>,<xref rid="b9-ijo-43-03-0765" ref-type="bibr">9</xref>). Recently, miRNAs have been shown to regulate essential cell processes, such as cell proliferation, differentiation, apoptosis, development and metabolism (<xref rid="b9-ijo-43-03-0765" ref-type="bibr">9</xref>&#x02013;<xref rid="b11-ijo-43-03-0765" ref-type="bibr">11</xref>), and to play a key role in cancer pathogenesis (<xref rid="b12-ijo-43-03-0765" ref-type="bibr">12</xref>&#x02013;<xref rid="b16-ijo-43-03-0765" ref-type="bibr">16</xref>). Moreover, a miRNA prognostic and diagnostic value has been reported in several malignancies, including lung cancer (<xref rid="b14-ijo-43-03-0765" ref-type="bibr">14</xref>&#x02013;<xref rid="b16-ijo-43-03-0765" ref-type="bibr">16</xref>).</p>
<p>The first reported miRNA aberrantly expressed in lung cancer was the <italic>Let-7</italic> family (<xref rid="b17-ijo-43-03-0765" ref-type="bibr">17</xref>). A reduced <italic>Let-7</italic> expression has been significantly correlated with a short post-operative survival in the NSCLC patients (<xref rid="b17-ijo-43-03-0765" ref-type="bibr">17</xref>). Moreover, the ectopic <italic>Let-7</italic> expression inhibits cell proliferation in human NSCLC cell lines (<xref rid="b18-ijo-43-03-0765" ref-type="bibr">18</xref>) and reduces tumor burden in mouse NSCLC xenografts (<xref rid="b19-ijo-43-03-0765" ref-type="bibr">19</xref>). <italic>Let-7</italic> family members have been demonstrated to behave as tumor suppressor genes and to functionally inhibit several cell cycle regulators and oncogenes, such as <italic>Ras</italic> family, <italic>c-Myc</italic> and <italic>HMGA2</italic> genes, whose 3&#x02032;UTRs show multiple <italic>Let-7</italic> binding sites (<xref rid="b13-ijo-43-03-0765" ref-type="bibr">13</xref>,<xref rid="b20-ijo-43-03-0765" ref-type="bibr">20</xref>,<xref rid="b21-ijo-43-03-0765" ref-type="bibr">21</xref>).</p>
<p>Conversely, a role as oncogene has been suggested for <italic>miR-21</italic> that is deregulated in glioblastoma and lung cancer (<xref rid="b22-ijo-43-03-0765" ref-type="bibr">22</xref>&#x02013;<xref rid="b25-ijo-43-03-0765" ref-type="bibr">25</xref>). A <italic>miR-21</italic> overexpression has been suggested to be an independent negative prognostic factor for the overall survival in NSCLC patients (<xref rid="b23-ijo-43-03-0765" ref-type="bibr">23</xref>) and to be related to the lung carcinogenesis in never smokers (<xref rid="b26-ijo-43-03-0765" ref-type="bibr">26</xref>). Several mRNAs have been identified as <italic>miR-21</italic> targets, including <italic>PDCD4, PTEN, TGF-&#x003B2;</italic> and <italic>MMP9</italic> genes (<xref rid="b22-ijo-43-03-0765" ref-type="bibr">22</xref>,<xref rid="b27-ijo-43-03-0765" ref-type="bibr">27</xref>).</p>
<p>The aim of this study was to evaluate <italic>Let-7g</italic> and <italic>miR-21</italic> expression in a series of 80 NSCLC patients to establish their involvement in the NSCLC pathogenesis and their potential diagnostic, prognostic and predictive value.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Patients</title>
<p>Eighty NSCLC patients were retrospectively selected from patients who had undergone surgery at the Unit of Thoracic Surgery of the A.O.U.P. between 2005 and 2012. Histological diagnoses were independently formulated by two pathologists (G.F. and G.A.) according to the World Health Organization classification (<xref rid="b2-ijo-43-03-0765" ref-type="bibr">2</xref>&#x02013;<xref rid="b4-ijo-43-03-0765" ref-type="bibr">4</xref>) and discrepant diagnoses were re-evaluated and discussed until an agreement was reached. Clinicopathological characteristics were collected whenever available for all the patients, while detailed clinical data were obtained only for 55 patients. The study was approved by the local Ethics Committee and all the patients gave their informed consent to the molecular analyses.</p></sec>
<sec>
<title>DNA and RNA isolation</title>
<p>DNA and RNA were isolated from 10-&#x003BC;m sections of formalin-fixed and paraffin-embedded (FFPE) tissues or cytological specimens after manual tumor macrodissection using the QIAamp DNA Mini kit (Qiagen) and miRNeasy FFPE kit (Qiagen), respectively, according to the manufacturer&apos;s instructions.</p></sec>
<sec>
<title>MiRNA expression</title>
<p>Quantification of <italic>Let-7g</italic>, <italic>miR-21</italic> and <italic>RNU6B</italic> expression was carried out in triplicate into 80 NSCLC and 27 non-cancer lung tissues using specific TaqMan<sup>&#x000AE;</sup> MicroRNA assays (Applied Biosystems) according to the manufacturer&apos;s instructions. Briefly, 10 ng of total RNA were retro-transcribed by the TaqMan MicroRNA Reverse Transcription (RT) kit (Applied Biosystems) and 1.3 &#x003BC;l of RT product were analysed by quantitative real-time PCR (qRT-PCR) on the Rotor-Gene 6000 (Corbett Research). Threshold cycle (Ct) and baselines were determined by manual settings. MiRNA expression was calculated by relative quantification and fold expression changes were determined by the 2<sup>&#x02212;&#x00394;&#x00394;Ct</sup> method using the DataAssist&#x02122; software (Applied Biosystems).</p></sec>
<sec>
<title>Target prediction and pathway analysis</title>
<p><italic>Let-7g</italic> and <italic>miR-21</italic> target genes were predicted by four different miRNA target prediction algorithms: miRanda (<ext-link xlink:href="http://www.microrna.org/microrna" ext-link-type="uri">http://www.microrna.org/microrna</ext-link>), TargetScan (<ext-link xlink:href="http://www.targetscan.org" ext-link-type="uri">http://www.targetscan.org</ext-link>), Pictar (<ext-link xlink:href="http://www.pictar.org" ext-link-type="uri">http://www.pictar.org</ext-link>) and miRDB (<ext-link xlink:href="http://www.mirdb.org" ext-link-type="uri">http://www.mirdb.org</ext-link>). Gene ontology classification and pathway analysis were performed using the PANTHER software (<ext-link xlink:href="http://www.pantherdb.org" ext-link-type="uri">http://www.pantherdb.org</ext-link>).</p></sec>
<sec>
<title>Mutational analysis</title>
<p><italic>K-Ras</italic> gene (Reference sequence: ENSG00000133703) status in codons 12 and 13 was analyzed by pyrosequencing using the Anti-EGFR MoAb response<sup>&#x000AE;</sup> kit (<italic>K-Ras</italic> status) (Diatech Pharmacogenetics) according to the manufacturer&apos;s instructions.</p>
<p>PCR-single stranded conformation polymorphism (PCR-SSCP) and sequencing analysis were used for genotyping exons 18&#x02013;21 of the <italic>EGFR</italic> gene (Reference sequence: ENSG00000146648). The primer sequences were as follows: exon 18, 5&#x02032;-CTCTGTGTTCTTGTCCCCCC-3&#x02032; (forward) and 5&#x02032;-GCCTGTGCCAGGGACCTTAC-3&#x02032; (reverse); exon 19, 5&#x02032;-CATGTGGCACCATCTCACA-3&#x02032; (forward) and 5&#x02032;-CCACACAGCAAAGCAGAAAC-3&#x02032; (reverse); exon 20, 5&#x02032;-CACACTGACGTGCCTCTCC-3&#x02032; (forward) and 5&#x02032;-TATCTCCCCTCCCCGTATCT-3&#x02032; (reverse); exon 21, 5&#x02032;-CCTCACAGCAGGGTCTTCTC-3&#x02032; (forward) and 5&#x02032;-CCTGGTGTCAGGAAAATGCT-3&#x02032; (reverse). Briefly, 100 ng of DNA were amplified by PCR using the FastStart Taq DNA Polymerase (Roche Diagnostics) on the T3000 Thermocycler 48 (Biometra), as follows: 4 min at 95&#x000B0;C, 40 cycles at 95&#x000B0;C for 30 sec, 58&#x000B0;C for 30 sec and 72&#x000B0;C for 45 sec and 10 min at 72&#x000B0;C. PCR products were mixed with an equivalent formamide volume, denatured at 95&#x000B0;C for 5 min and run onto a non-denaturing 12.5&#x00025; polyacrylamide gel (GE Healthcare) at 18&#x000B0;C and constant 25 mA for 1 h and 40 min. Denaturated DNA was visualized by the PlusOne DNA silver staining kit (GE Healthcare) and samples with altered mobility patterns were sequenced as previously described (<xref rid="b28-ijo-43-03-0765" ref-type="bibr">28</xref>).</p></sec>
<sec>
<title>Statistical analysis</title>
<p>One-way analysis of variance and &#x003C7;<sup>2</sup> test were used to determine the association between miRNA expression and the different parameters, while survival analysis was performed by the Kaplan-Meier method. Statistical analyses were performed using the JMP10 software (SAS) and a two-tailed p&lt;0.05 was considered statistically significant.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Patient characteristics</title>
<p>This study was conducted in 80 patients with NSCLC, including 55 ADCs, 21 SCCs, 2 LCCs and 2 undifferentiated NSCLCs. The median age at diagnosis was 67 years (range 46&#x02013;85) and the median follow-up was 32 months (range 7&#x02013;98). Disease progression with distant and/or loco-regional recurrence and death from lung cancer were observed in 34 (61.8&#x00025;) and 14 (25.5&#x00025;) of the 55 NSCLC patients, respectively. The median progression-free survival (PFS) and overall survival (OS) were 18 months (95&#x00025; CI, 14&#x02013;24) and 24 months (95&#x00025; CI, 18&#x02013;30), respectively.</p></sec>
<sec>
<title>Let-7g and miR-21 expression profile</title>
<p>We quantified the mature <italic>Let-7g</italic> and <italic>miR-21</italic> expression normalized to the <italic>RNU6B</italic> endogenous control in 80 NSCLC and 27 non-cancer lung tissues. The unsupervised hierarchical clustering analysis of miRNA expression using the Euclidean distance as a similarity measure and average linkage algorithm revealed two major clusters based on similarities in <italic>miR-21</italic> expression that clearly separated the tumor from non-cancer tissues. On the contrary, we did not observe a clear separation between tumor and normal samples based on <italic>Let-7g</italic> expression (<xref rid="f1-ijo-43-03-0765" ref-type="fig">Fig. 1A</xref>).</p>
<p><italic>Let-7g</italic> was barely detectable in lung tissues and we did not observe any significant difference between the NSCLC and normal samples (&#x02212;0.897&#x000B1;0.148 vs. &#x02212;0.709&#x000B1;0.168, p&#x0003D;0.585, <xref rid="f1-ijo-43-03-0765" ref-type="fig">Fig. 1B</xref>). Conversely, a highly significant increase in <italic>miR-21</italic> expression was observed in the NSCLC tissues compared to the non-cancer ones (4.842&#x000B1;0.163 vs. 2.509&#x000B1;0.182, p&lt;0.0001, <xref rid="f1-ijo-43-03-0765" ref-type="fig">Fig. 1C</xref>).</p></sec>
<sec>
<title>MiRNA profile and clinicopathological characteristics</title>
<p>To determine whether miRNA profile was correlated with the main clinicopathological characteristics, the NSCLC patients were divided into <italic>Let-7g</italic> and <italic>miR-21</italic> high and low expression groups based on the median fold-change values (1.315&#x000B1;0.175 for <italic>Let-7g</italic> and 6.964&#x000B1;0.759 for <italic>miR-21</italic>). Except for a significant association between the low <italic>Let-7g</italic> expression and metastatic lymph node presence at diagnosis (p&#x0003D;0.046), no other statistically significant associations were observed between the analysed miRNA and the main clinicopathological characteristics of the NSCLC patients (<xref rid="tI-ijo-43-03-0765" ref-type="table">Table I</xref>). Interestingly, both <italic>Let-7g</italic> and <italic>miR-21</italic> were upregulated in ADCs compared to SCCs, although these relationships were not statistically significant (<xref rid="f2-ijo-43-03-0765" ref-type="fig">Fig. 2A and B</xref>).</p></sec>
<sec>
<title>MiRNA profile and K-Ras and EGFR status</title>
<p>To investigate whether <italic>Let-7g</italic> and <italic>miR-21</italic> expression was correlated to <italic>K-Ras</italic> and <italic>EGFR</italic> mutational status, we performed genotyping in the 80 NSCLC patients, except 2, due to insufficient tissue. <italic>K-Ras</italic> and <italic>EGFR</italic> mutations were observed in 16 (20.5&#x00025;) and 23 (29.5&#x00025;) of the 78 NSCLC patients, respectively (<xref rid="tII-ijo-43-03-0765" ref-type="table">Table II</xref>).</p>
<p><italic>K-Ras</italic> and <italic>EGFR</italic> mutations were mutually exclusive, observed only in the NSCLC patients with ADC and associated with gender (<xref rid="tIII-ijo-43-03-0765" ref-type="table">Table III</xref>). As is shown in <xref rid="tIII-ijo-43-03-0765" ref-type="table">Table III</xref>, <italic>EGFR</italic> status was also significantly associated with the smoking habit (p&#x0003D;0.0086), performance status (p&#x0003D;0.0008) and response to the treatment with <italic>EGFR</italic> tyrosine kinase inhibitors (TKIs) (p&#x0003D;0.0076).</p>
<p>Statistical analysis did not show any significant association between <italic>EGFR</italic> mutations and <italic>Let-7g</italic> or <italic>miR-21</italic> expression, while we found a highly significant association between <italic>K-Ras</italic> status and <italic>miR-21</italic> expression (p&#x0003D;0.0003, <xref rid="tIII-ijo-43-03-0765" ref-type="table">Table III</xref>). Noteworthy, a significantly higher <italic>miR-21</italic> expression was observed in the NSCLC patients with <italic>K-Ras</italic>-mutated tumors (14.237&#x000B1;1.638, p&lt;0.001) compared to the patients with <italic>K-Ras</italic>-wild-type tumors (7.316&#x000B1;0.792, <xref rid="f2-ijo-43-03-0765" ref-type="fig">Fig. 2C</xref>).</p></sec>
<sec>
<title>miRNA target prediction and pathway analysis</title>
<p><italic>Let-7g</italic> and <italic>miR-21</italic> target gene analysis by miRanda, TargetScan, Pictar and miRDB prediction algorithms led to the identification of a plethora of putative target genes for these miRNAs. In order to minimize the number of false positives, we recorded a gene as a putative target gene of the analysed miRNAs only if it was predicted by at least two prediction algorithms with a high confidence score. According to these stringent criteria, we identified 24 putative target genes for <italic>Let-7g</italic>, including <italic>HMGA2, ERCC6</italic> and <italic>MAP3K3</italic> genes and 26 putative target genes for <italic>miR-21</italic>, including <italic>PDCD4, MSH2</italic> and <italic>SPRY1/SPRY2</italic> genes (<xref rid="tIV-ijo-43-03-0765" ref-type="table">Table IV</xref>).</p>
<p>We further investigated the biological consequences of <italic>Let-7g</italic> and <italic>miR-21</italic> aberrant expression grouping the predicted target genes by gene ontology terms. This analysis revealed that most of cell processes regulated by these miRNAs play a key role in cancer pathogenesis and are mainly involved in cell proliferation, apoptosis, DNA repair, cell adhesion and signal transduction pathways (<xref rid="tIV-ijo-43-03-0765" ref-type="table">Table IV</xref>).</p></sec>
<sec>
<title>Survival analysis</title>
<p>To evaluate the relationships of <italic>Let-7g</italic> and <italic>miR-21</italic> expression with the prognosis of the NSCLC patients, we performed a survival analysis by the Kaplan-Meier method using the disease recurrence and the overall post-operative survival as end-points. We did not observe any significant difference in PFS and OS of the NSCLC patients with a high <italic>Let-7g</italic> or <italic>miR-21</italic> expression compared to the patients with a low expression of these miRNAs (<xref rid="f3-ijo-43-03-0765" ref-type="fig">Fig. 3</xref>). However, we further investigated <italic>Let-7g</italic> and <italic>miR-21</italic> as prognostic indicators by restricting our analysis to the first 30 months of the follow-up to verify a possible short-term prognostic value of <italic>Let-7g</italic> and <italic>miR-21</italic> evaluation. Interestingly, we found that the NSCLC patients with a high <italic>Let-7g</italic> or <italic>miR-21</italic> expression showed a significantly shorter mean PFS and OS compared to the patients with a low expression of these miRNAs (<xref rid="tV-ijo-43-03-0765" ref-type="table">Table V</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Lung cancer is the first cause of death for cancer worldwide and &gt;80&#x00025; of the cases are NSCLC (<xref rid="b1-ijo-43-03-0765" ref-type="bibr">1</xref>&#x02013;<xref rid="b4-ijo-43-03-0765" ref-type="bibr">4</xref>). Although early diagnosis and patient care have greatly improved in recent years, most of the NSCLC patients show locally advanced or metastatic disease at diagnosis and their prognosis remains extremely poor (<xref rid="b1-ijo-43-03-0765" ref-type="bibr">1</xref>&#x02013;<xref rid="b7-ijo-43-03-0765" ref-type="bibr">7</xref>). Currently, no appropriate diagnostic biomarker exists for NSCLC, highlighting the need of a better knowledge of its biology to improve prevention, diagnosis and treatment.</p>
<p>MiRNAs are a highly conserved family of small non-coding RNA molecules that negatively regulate gene expression (<xref rid="b8-ijo-43-03-0765" ref-type="bibr">8</xref>,<xref rid="b9-ijo-43-03-0765" ref-type="bibr">9</xref>) and their aberrant expression has been found to play a key role in pathogenesis of several malignancies, including NSCLC (<xref rid="b13-ijo-43-03-0765" ref-type="bibr">13</xref>&#x02013;<xref rid="b16-ijo-43-03-0765" ref-type="bibr">16</xref>). This study was aimed to evaluate <italic>Let-7g</italic> and <italic>miR-21</italic> expression profile in the NSCLC patients in order to establish their role in NSCLC pathogenesis and their potential diagnostic, prognostic and predictive significance.</p>
<p>We demonstrated that <italic>miR-21</italic> expression strongly differentiates the NSCLC from non-cancer lung tissues, while we did not observe any <italic>Let-7g</italic> discriminative value. In our study, a highly significant increase was found in <italic>miR-21</italic> expression in NSCLC tissues compared to the non-cancer ones, in agreement with previous results that demonstrated a <italic>miR-21</italic> overexpression in tumor tissues from several human malignancies (<xref rid="b23-ijo-43-03-0765" ref-type="bibr">23</xref>,<xref rid="b29-ijo-43-03-0765" ref-type="bibr">29</xref>&#x02013;<xref rid="b31-ijo-43-03-0765" ref-type="bibr">31</xref>). Conversely, we observed a reduced <italic>Let-7g</italic> expression that was expressed at comparable levels in NSCLC and non-cancer lung tissues. <italic>Let-7g</italic> downregulation in NSCLC tissues has been previously reported by several authors, who have also demonstrated that the aberrant expression of <italic>Let-7</italic> family represents an early event during NSCLC carcinogenesis and is more common in SCCs compared to ADCs (<xref rid="b12-ijo-43-03-0765" ref-type="bibr">12</xref>,<xref rid="b19-ijo-43-03-0765" ref-type="bibr">19</xref>,<xref rid="b32-ijo-43-03-0765" ref-type="bibr">32</xref>,<xref rid="b33-ijo-43-03-0765" ref-type="bibr">33</xref>). In our study, <italic>Let-7g</italic> and <italic>miR-21</italic> are downregulated in SCCs compared to ADCs, but their evaluation has not been shown to have a significant diagnostic value in discriminating between these two different histotypes, as previously reported in larger miRNA profiling studies (<xref rid="b29-ijo-43-03-0765" ref-type="bibr">29</xref>,<xref rid="b30-ijo-43-03-0765" ref-type="bibr">30</xref>). Landi <italic>et al</italic>(<xref rid="b30-ijo-43-03-0765" ref-type="bibr">30</xref>) reported that <italic>Let-7g</italic> and <italic>miR-21</italic> differential expression allows to discriminate between ADC and SCC in the early-stage tumors (stage I), but not in the advanced stage (stage II&#x02013;IV), suggesting that miRNA expression loses its histology-specificity in the more advanced and less differentiated tumors. Therefore, the lack of a statistical significance we observed between the altered <italic>Let-7g</italic> and <italic>miR-21</italic> expression and NSCLC histology could be explained by the fact that most of the enrolled patients were diagnosed in an advanced stage, where miRNA histology-related expression may be not specific.</p>
<p>Concerning the other analysed clinicopathological characteristics, we did not observe any significant correlation between the <italic>Let-7g</italic> and <italic>miR-21</italic> dysregulated expression and the clinicopathological features, including age, tumor stage, therapy response and smoking habit. In particular, our results concerning the relationship between the <italic>miR-21</italic> expression and the smoking habit are in disagreement with data reported by Seike <italic>et al</italic>(<xref rid="b26-ijo-43-03-0765" ref-type="bibr">26</xref>), who demonstrated that <italic>miR-21</italic> expression is significantly higher in tumors from smokers than from never smokers; however, this discrepancy could be due to the small number of patients for whom we had smoking data. Interestingly, we found that <italic>Let-7g</italic> expression is significantly associated with lymph nodal status. We showed that most of the NSCLC patients with a low <italic>Let-7g</italic> expression present metastatic lymph nodes at diagnosis, while no substantial differences were observed for the patients with a high <italic>Let-7g</italic> expression. This result suggests an important role of <italic>Let-7g</italic> in NSCLC tumor progression and acquisition of metastatic potential and is supported by <italic>in vivo</italic> studies showing that ectopic <italic>Let-7g</italic> expression in NSCLC xenografts induce a significant decrease in tumor growth and spread (<xref rid="b17-ijo-43-03-0765" ref-type="bibr">17</xref>,<xref rid="b18-ijo-43-03-0765" ref-type="bibr">18</xref>).</p>
<p>Since the importance of <italic>EGFR</italic> and <italic>K-Ras</italic> mutation detection in current management of the NSCLC patients, we explored the relationship between their mutational status and <italic>Let-7g</italic> and <italic>miR-21</italic> expression profile. In our study, the frequency of <italic>K-Ras</italic> mutation (20.5&#x00025;) was in agreement with previously reported data (<xref rid="b34-ijo-43-03-0765" ref-type="bibr">34</xref>,<xref rid="b35-ijo-43-03-0765" ref-type="bibr">35</xref>), whereas <italic>EGFR</italic> mutation incidence was slightly higher (29.5&#x00025;) than that reported in the literature for lung cancer (15&#x02013;20&#x00025;) (<xref rid="b6-ijo-43-03-0765" ref-type="bibr">6</xref>,<xref rid="b36-ijo-43-03-0765" ref-type="bibr">36</xref>&#x02013;<xref rid="b38-ijo-43-03-0765" ref-type="bibr">38</xref>), because many of the recruited patients belonged to a larger study designed to evaluate the EGFR TKI response. According to previously reported data (<xref rid="b20-ijo-43-03-0765" ref-type="bibr">20</xref>,<xref rid="b21-ijo-43-03-0765" ref-type="bibr">21</xref>,<xref rid="b30-ijo-43-03-0765" ref-type="bibr">30</xref>,<xref rid="b39-ijo-43-03-0765" ref-type="bibr">39</xref>), <italic>Let-7g</italic> expression was not correlated with <italic>EGFR</italic> or <italic>K-Ras</italic> mutational status. However, several studies have demonstrated that <italic>Let-7g</italic> acts as a <italic>K-Ras</italic> negative regulator by binding to multiple sites of their 3&#x02032;UTRs (<xref rid="b40-ijo-43-03-0765" ref-type="bibr">40</xref>) and that lung cancer tissues with reduced <italic>Let-7g</italic> levels have significantly higher K-Ras levels compared to their corresponding normal tissues (<xref rid="b18-ijo-43-03-0765" ref-type="bibr">18</xref>,<xref rid="b20-ijo-43-03-0765" ref-type="bibr">20</xref>). Therefore, it is possible that the aberrant expression of <italic>Let-7g</italic> and <italic>K-Ras</italic> mutations are mutually exclusive in NSCLC carcinogenesis with a more predominant effect of <italic>Let-7g</italic> dysregulation in SCCs, which show a low expression of this miRNA compared to the other NSCLC histotypes and a more prominent role of <italic>K-Ras</italic> mutations in ADC carcinogenesis (<xref rid="b32-ijo-43-03-0765" ref-type="bibr">32</xref>,<xref rid="b33-ijo-43-03-0765" ref-type="bibr">33</xref>).</p>
<p>Furthermore, we first demonstrated a strong and highly significant correlation between the high <italic>miR-21</italic> expression and the presence of mutations in the codons 12 and 13 of <italic>K-Ras</italic> gene, suggesting a synergistic interplay between <italic>miR-21</italic> and <italic>K-Ras</italic> oncogenes that supports neoplastic phenotype in NSCLC. Based on <italic>miR-21</italic> expression and target gene prediction results, we might hypothesize an auto-regulatory loop between oncogenic <italic>K-Ras</italic> and <italic>miR-21</italic> mediated by the MAPK/ERK signalling pathway, <italic>SPRY1/SPRY2</italic> and <italic>PDCD4</italic> (<xref rid="f4-ijo-43-03-0765" ref-type="fig">Fig. 4</xref>). <italic>K-Ras</italic> mutations determine a constitutive protein activation with a consequent activation of the MAPK/ERK signalling pathway, which plays an important role in lung carcinogenesis by inhibiting apoptosis and promoting cell proliferation, cell growth, angiogenesis, invasion and metastasis (<xref rid="b41-ijo-43-03-0765" ref-type="bibr">41</xref>). On the other hand, <italic>miR-21</italic> modulates several components critical to the NSCLC pathogenesis by targeting apoptotic effectors and antagonists of the MAPK/ERK signalling pathway (<xref rid="b22-ijo-43-03-0765" ref-type="bibr">22</xref>,<xref rid="b25-ijo-43-03-0765" ref-type="bibr">25</xref>,<xref rid="b27-ijo-43-03-0765" ref-type="bibr">27</xref>). The high <italic>miR-21</italic> expression observed in our NSCLC patients might cause a decrease in <italic>SPRY1/SPRY2</italic> expression that has been demonstrated to negatively regulate the MAPK/ERK signalling pathway and to enhance cell migration (<xref rid="b42-ijo-43-03-0765" ref-type="bibr">42</xref>). In addition, the negative regulation of <italic>PDCD4</italic> and <italic>Apaf-1</italic> genes by <italic>miR-21</italic> leads to apoptosis inhibition (<xref rid="b22-ijo-43-03-0765" ref-type="bibr">22</xref>,<xref rid="b27-ijo-43-03-0765" ref-type="bibr">27</xref>,<xref rid="b43-ijo-43-03-0765" ref-type="bibr">43</xref>), as well as to the removal of the PDCD4 inhibitory effect on AP-1, which is downstream the MAPK/ERK signalling pathway and promotes <italic>miR-21</italic> expression (<xref rid="b44-ijo-43-03-0765" ref-type="bibr">44</xref>,<xref rid="b45-ijo-43-03-0765" ref-type="bibr">45</xref>). This complex and auto-regulatory circuit might justify the high levels of <italic>miR-21</italic> expression observed in our study in the NSCLC patients harbouring <italic>K-Ras</italic> mutations and might have a final stimulation effect on the processes that promote tumor progression and therapy resistance (<xref rid="f4-ijo-43-03-0765" ref-type="fig">Fig. 4</xref>).</p>
<p>We investigated the relationship between the differential <italic>Let-7g</italic> and <italic>miR-21</italic> expression and prognosis of the NSCLC patients without observing any statistically significant correlation. These results are in disagreement with data reported by other authors that support a negative prognostic role for <italic>Let-7g</italic>, whose downregulation has been associated with a reduced overall post-operative survival in NSCLC patients (<xref rid="b18-ijo-43-03-0765" ref-type="bibr">18</xref>&#x02013;<xref rid="b21-ijo-43-03-0765" ref-type="bibr">21</xref>), and <italic>miR-21</italic>, whose overexpression has been associated with a poor prognosis irrespective of the TNM stage and lymph nodal status (<xref rid="b23-ijo-43-03-0765" ref-type="bibr">23</xref>,<xref rid="b26-ijo-43-03-0765" ref-type="bibr">26</xref>,<xref rid="b46-ijo-43-03-0765" ref-type="bibr">46</xref>). However, these discrepant results could be due to the small number of patients with available clinical data. Interestingly, by restricting our analysis to the first 30 months of the follow-up observation, we demonstrated that the NSCLC patients with a high expression of either <italic>Let-7g</italic> or <italic>miR-21</italic> show a highly significant shorter PFS and OS compared to the patients with a low expression of both these miRNAs, suggesting a possible negative short-term prognostic value of the evaluation of <italic>Let-7g</italic> and <italic>miR-21</italic> expression.</p>
<p>In conclusion, our data show that <italic>Let-7g</italic> and <italic>miR-21</italic> are aberrantly expressed in the NSCLC patients and that there is a close interplay among <italic>K-Ras</italic>, <italic>miR-21</italic> and <italic>Let-7g</italic> in NSCLC, suggesting that their systematic evaluation could represent a useful biomarker in the molecular characterization and management of NSCLC patients.</p></sec></body>
<back>
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<floats-group>
<fig id="f1-ijo-43-03-0765" position="float">
<label>Figure 1</label>
<caption>
<p><italic>Let-7g</italic> and <italic>miR-21</italic> expression. (A) Unsupervised hierarchical cluster analysis of miRNA expression in NSCLC tissues (AD samples) versus non-cancer lung tissues (N samples). Box and Whisker plots of <italic>Let-7g</italic> (B) and <italic>miR-21</italic> (C) expression in NSCLC tissues compared to non-cancer lung tissues. Values of <italic>Let-7g</italic> and <italic>miR-21</italic> expression normalized to <italic>RNU6B</italic> endogenous control are reported as Log<sub>2</sub>2<sup>&#x02212;&#x00394;Ct</sup>.</p></caption>
<graphic xlink:href="IJO-43-03-0765-g00.gif"/></fig>
<fig id="f2-ijo-43-03-0765" position="float">
<label>Figure 2</label>
<caption>
<p>Box and Whisker plots of the differential <italic>Let-7g</italic> (A) and <italic>miR-21</italic> (B and C) expression in relation to the main NSCLC histological subtypes (A and B) and <italic>K-Ras</italic> mutational status (C) in the NSCLC patients. Values of <italic>Let-7g</italic> and <italic>miR-21</italic> expression are reported as fold-change of the target miRNA relative expression relatively to a pool of non-cancer lung tissues after normalization to the endogenous control <italic>RNU6B</italic>.</p></caption>
<graphic xlink:href="IJO-43-03-0765-g01.gif"/></fig>
<fig id="f3-ijo-43-03-0765" position="float">
<label>Figure 3</label>
<caption>
<p>Kaplan-Meier curves in the NSCLC patients with a different <italic>Let-7g</italic> (A and B) and <italic>miR-21</italic> (C and D) expression. PFS, progression-free survival; OS, overall survival.</p></caption>
<graphic xlink:href="IJO-43-03-0765-g02.gif"/></fig>
<fig id="f4-ijo-43-03-0765" position="float">
<label>Figure 4</label>
<caption>
<p>Auto-regulatory loop between <italic>K-Ras</italic> and <italic>miR-21</italic>. Proposed model showing that <italic>miR-21</italic> potentiates the oncogenic <italic>K-Ras</italic> signalling pathway by promoting cell proliferation, angiogenesis and invasion and inhibits apoptosis through the repression of multiple tumor suppressors.</p></caption>
<graphic xlink:href="IJO-43-03-0765-g03.gif"/></fig>
<table-wrap id="tI-ijo-43-03-0765" position="float">
<label>Table I</label>
<caption>
<p>Correlations between the <italic>Let-7g</italic> and <italic>miR-21</italic> expression and the main clinicopathological characteristics of the NSCLC patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom"/>
<th colspan="2" align="center" valign="bottom"><italic>Let-7g</italic> expression<xref rid="tfn1-ijo-43-03-0765" ref-type="table-fn">a</xref></th>
<th align="center" valign="bottom"/>
<th colspan="2" align="center" valign="bottom"><italic>miR-21</italic> expression<xref rid="tfn1-ijo-43-03-0765" ref-type="table-fn">a</xref></th>
<th align="center" valign="bottom"/></tr>
<tr>
<th align="left" valign="bottom"/>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th align="center" valign="bottom"/>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th align="center" valign="bottom"/></tr>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">Low</th>
<th align="center" valign="bottom">High</th>
<th align="center" valign="bottom">p-value<xref rid="tfn2-ijo-43-03-0765" ref-type="table-fn">b</xref></th>
<th align="center" valign="bottom">Low</th>
<th align="center" valign="bottom">High</th>
<th align="center" valign="bottom">p-value<xref rid="tfn2-ijo-43-03-0765" ref-type="table-fn">b</xref></th></tr></thead>
<tbody>
<tr>
<td colspan="7" align="left" valign="top">Age</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02264;67 years</td>
<td align="right" valign="top">22 (57.9)</td>
<td align="right" valign="top">16 (42.1)</td>
<td align="center" valign="top">0.263</td>
<td align="right" valign="top">19 (50)</td>
<td align="right" valign="top">19 (50)</td>
<td align="center" valign="top">0.823</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&gt;67 years</td>
<td align="right" valign="top">18 (42.8)</td>
<td align="right" valign="top">24 (57.2)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">21 (50)</td>
<td align="right" valign="top">21 (50)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Gender</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Males</td>
<td align="right" valign="top">28 (50.9)</td>
<td align="right" valign="top">27 (49.1)</td>
<td align="center" valign="top">0.809</td>
<td align="right" valign="top">27 (49.1)</td>
<td align="right" valign="top">28 (50.9)</td>
<td align="center" valign="top">0.809</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Females</td>
<td align="right" valign="top">12 (48)</td>
<td align="right" valign="top">13 (52)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">13 (52)</td>
<td align="right" valign="top">12 (48)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Histology</td></tr>
<tr>
<td align="left" valign="top">&#x02003;ADC</td>
<td align="right" valign="top">27 (49.1)</td>
<td align="right" valign="top">28 (50.9)</td>
<td align="center" valign="top">0.157</td>
<td align="right" valign="top">24 (43.6)</td>
<td align="right" valign="top">31 (56.4)</td>
<td align="center" valign="top">0.065</td></tr>
<tr>
<td align="left" valign="top">&#x02003;SCC</td>
<td align="right" valign="top">13 (61.9)</td>
<td align="right" valign="top">8 (38.1)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">14 (66.7)</td>
<td align="right" valign="top">7 (33.3)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;LCC</td>
<td align="right" valign="top">0 (0)</td>
<td align="right" valign="top">2 (100)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">2 (100)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Others</td>
<td align="right" valign="top">0 (0)</td>
<td align="right" valign="top">2 (100)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">0 (0)</td>
<td align="right" valign="top">2 (100)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Tumor stage</td></tr>
<tr>
<td align="left" valign="top">&#x02003;T1 (T1a-T1b)</td>
<td align="right" valign="top">6 (50)</td>
<td align="right" valign="top">6 (50)</td>
<td align="center" valign="top">0.111</td>
<td align="right" valign="top">5 (41.7)</td>
<td align="right" valign="top">7 (58.3)</td>
<td align="center" valign="top">0.793</td></tr>
<tr>
<td align="left" valign="top">&#x02003;T2 (T2a-T2b)</td>
<td align="right" valign="top">16 (51.6)</td>
<td align="right" valign="top">15 (48.4)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">13 (41.9)</td>
<td align="right" valign="top">18 (58.1)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;T3</td>
<td align="right" valign="top">2 (14.3)</td>
<td align="right" valign="top">12 (85.7)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">8 (57.2)</td>
<td align="right" valign="top">6 (42.8)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;T4</td>
<td align="right" valign="top">3 (50)</td>
<td align="right" valign="top">3 (50)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">3 (50)</td>
<td align="right" valign="top">3 (50)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Lymph node status</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Negative</td>
<td align="right" valign="top">4 (21.1)</td>
<td align="right" valign="top">15 (78.9)</td>
<td align="center" valign="top"><bold>0.046</bold></td>
<td align="right" valign="top">9 (47.4)</td>
<td align="right" valign="top">10 (52.6)</td>
<td align="center" valign="top">0.633</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Positive</td>
<td align="right" valign="top">20 (52.6)</td>
<td align="right" valign="top">18 (47.4)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">14 (36.8)</td>
<td align="right" valign="top">24 (63.2)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Smoking</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Never smoking</td>
<td align="right" valign="top">7 (53.8)</td>
<td align="right" valign="top">6 (46.2)</td>
<td align="center" valign="top">0.425</td>
<td align="right" valign="top">7 (53.8)</td>
<td align="right" valign="top">6 (46.2)</td>
<td align="center" valign="top">0.872</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Former smoking</td>
<td align="right" valign="top">17 (65.4)</td>
<td align="right" valign="top">9 (34.6)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">16 (61.5)</td>
<td align="right" valign="top">10 (38.5)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Current smoking</td>
<td align="right" valign="top">2 (100)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">1 (50)</td>
<td align="right" valign="top">1 (50)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Performance status</td></tr>
<tr>
<td align="left" valign="top">&#x02003;ECOG 0</td>
<td align="right" valign="top">5 (45.5)</td>
<td align="right" valign="top">6 (54.5)</td>
<td align="center" valign="top">0.396</td>
<td align="right" valign="top">5 (45.5)</td>
<td align="right" valign="top">6 (54.5)</td>
<td align="center" valign="top">0.149</td></tr>
<tr>
<td align="left" valign="top">&#x02003;ECOG 1</td>
<td align="right" valign="top">20 (69)</td>
<td align="right" valign="top">9 (31)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">18 (62.1)</td>
<td align="right" valign="top">11 (37.9)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;ECOG 2</td>
<td align="right" valign="top">1 (50)</td>
<td align="right" valign="top">1 (50)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">2 (100)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">TKI response</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Complete response</td>
<td align="right" valign="top">1 (100)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top">0.181</td>
<td align="right" valign="top">1 (100)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top">0.218</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Partial response</td>
<td align="right" valign="top">13 (72.2)</td>
<td align="right" valign="top">5 (27.8)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">10 (55.6)</td>
<td align="right" valign="top">8 (44.4)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Stable disease</td>
<td align="right" valign="top">7 (70)</td>
<td align="right" valign="top">3 (30)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">6 (60)</td>
<td align="right" valign="top">4 (40)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Progressive disease</td>
<td align="right" valign="top">5 (55.6)</td>
<td align="right" valign="top">4 (44.4)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">7 (77.8)</td>
<td align="right" valign="top">2 (22.2)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Disease recurrence</td></tr>
<tr>
<td align="left" valign="top">&#x02003;NED</td>
<td align="right" valign="top">10 (47.6)</td>
<td align="right" valign="top">11 (52.4)</td>
<td align="center" valign="top">0.072</td>
<td align="right" valign="top">8 (38.1)</td>
<td align="right" valign="top">13 (61.9)</td>
<td align="center" valign="top">0.189</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Recurrence</td>
<td align="right" valign="top">20 (58.8)</td>
<td align="right" valign="top">14 (41.2)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">21 (61.8)</td>
<td align="right" valign="top">13 (38.2)</td>
<td align="center" valign="top"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-43-03-0765">
<label>a</label>
<p>Values are shown as n (&#x00025;).</p></fn><fn id="tfn2-ijo-43-03-0765">
<label>b</label>
<p>p-values were assessed by &#x003C7;<sup>2</sup> test and significant p-values are in bold.</p></fn><fn id="tfn3-ijo-43-03-0765">
<p>ADC, adenocarcinoma; SCC, squamous cell carcinoma; LCC, large cell carcinoma; ECOG, Eastern Cooperative Oncology Group; TKI, tyrosine kinase inhibitor; NED, no evidence of disease.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-ijo-43-03-0765" position="float">
<label>Table II</label>
<caption>
<p><italic>EGFR</italic> and <italic>K-Ras</italic> mutational status in the NSCLC patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Gene</th>
<th align="center" valign="bottom">Exon</th>
<th align="center" valign="bottom">ID sample</th>
<th align="center" valign="bottom">Nucleotide substitution</th>
<th align="center" valign="bottom">Amino acid substitution</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">19</td>
<td align="left" valign="top">AD20, AD23, AD24, AD26, AD32, AD39</td>
<td align="left" valign="top">c.2235_2249del</td>
<td align="left" valign="top">p.E746_A750</td></tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">19</td>
<td align="left" valign="top">AD28, AD29, AD35, AD40</td>
<td align="left" valign="top">c.2236_2250del</td>
<td align="left" valign="top">p.E746_A750</td></tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">19</td>
<td align="left" valign="top">AD16, AD21, AD37</td>
<td align="left" valign="top">c.2237_2255delinsT</td>
<td align="left" valign="top">p.E746_S752delinsV</td></tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">19</td>
<td align="left" valign="top">AD22</td>
<td align="left" valign="top">c.2239_2264delinsGCCAA</td>
<td align="left" valign="top">p.L747_A755delinsAN</td></tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">19</td>
<td align="left" valign="top">AD25</td>
<td align="left" valign="top">c.2240_2257del</td>
<td align="left" valign="top">p.L747_P753delinsS</td></tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">19&#x0002B;20</td>
<td align="left" valign="top">AD27</td>
<td align="left" valign="top">c.2235_2249del&#x0002B;c.2369C&gt;T</td>
<td align="left" valign="top">p.E746_A750&#x0002B;p.T790M</td></tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">20</td>
<td align="left" valign="top">AD41</td>
<td align="left" valign="top">c.2311_2312insGCGTGGACA</td>
<td align="left" valign="top">p.D770_N771insSVD</td></tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">20</td>
<td align="left" valign="top">AD36</td>
<td align="left" valign="top">c.2353A&gt;C</td>
<td align="left" valign="top">p.T785P</td></tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">21</td>
<td align="left" valign="top">AD7</td>
<td align="left" valign="top">c.2570G&gt;A</td>
<td align="left" valign="top">p.G857E</td></tr>
<tr>
<td align="left" valign="top"><italic>EGFR</italic></td>
<td align="center" valign="top">21</td>
<td align="left" valign="top">AD31, AD33, AD38, AD42</td>
<td align="left" valign="top">c.2573T&gt;G</td>
<td align="left" valign="top">p.L858R</td></tr>
<tr>
<td align="left" valign="top"><italic>K-Ras</italic></td>
<td align="center" valign="top">2</td>
<td align="left" valign="top">AD9, AD10, AD15, AD17, AD18, AD44</td>
<td align="left" valign="top">c.34G&gt;T</td>
<td align="left" valign="top">p.G12C</td></tr>
<tr>
<td align="left" valign="top"><italic>K-Ras</italic></td>
<td align="center" valign="top">2</td>
<td align="left" valign="top">AD65</td>
<td align="left" valign="top">c.34_35GG&gt;TT</td>
<td align="left" valign="top">p.G12F</td></tr>
<tr>
<td align="left" valign="top"><italic>K-Ras</italic></td>
<td align="center" valign="top">2</td>
<td align="left" valign="top">LC1, AD19, AD45, AD46</td>
<td align="left" valign="top">c.35G&gt;T</td>
<td align="left" valign="top">p.G12V</td></tr>
<tr>
<td align="left" valign="top"><italic>K-Ras</italic></td>
<td align="center" valign="top">2</td>
<td align="left" valign="top">AD1, AD14, AD62</td>
<td align="left" valign="top">c.35G&gt;C</td>
<td align="left" valign="top">p.G12A</td></tr>
<tr>
<td align="left" valign="top"><italic>K-Ras</italic></td>
<td align="center" valign="top">2</td>
<td align="left" valign="top">AD61</td>
<td align="left" valign="top">c.35G&gt;A</td>
<td align="left" valign="top">p.G12D</td></tr>
<tr>
<td align="left" valign="top"><italic>K-Ras</italic></td>
<td align="center" valign="top">2</td>
<td align="left" valign="top">AD43</td>
<td align="left" valign="top">c.37_38GG&gt;CC</td>
<td align="left" valign="top">p.G13P</td></tr></tbody></table></table-wrap>
<table-wrap id="tIII-ijo-43-03-0765" position="float">
<label>Table III</label>
<caption>
<p><italic>EGFR</italic> and <italic>K-Ras</italic> status in relation to the main clinicopathological and biological characteristics of the NSCLC patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom"/>
<th colspan="2" align="center" valign="bottom"><italic>EGFR</italic> status<xref rid="tfn4-ijo-43-03-0765" ref-type="table-fn">a</xref></th>
<th align="center" valign="bottom"/>
<th colspan="2" align="center" valign="bottom"><italic>K-Ras</italic> status<xref rid="tfn4-ijo-43-03-0765" ref-type="table-fn">a</xref></th>
<th align="center" valign="bottom"/></tr>
<tr>
<th align="left" valign="bottom"/>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th align="center" valign="bottom"/>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th align="center" valign="bottom"/></tr>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">Wild-type</th>
<th align="center" valign="bottom">Mutated</th>
<th align="center" valign="bottom">p-value<xref rid="tfn5-ijo-43-03-0765" ref-type="table-fn">b</xref></th>
<th align="center" valign="bottom">Wild-type</th>
<th align="center" valign="bottom">Mutated</th>
<th align="center" valign="bottom">p-value<xref rid="tfn5-ijo-43-03-0765" ref-type="table-fn">b</xref></th></tr></thead>
<tbody>
<tr>
<td colspan="7" align="left" valign="top"><italic>EGFR</italic> status</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Wild-type</td>
<td align="right" valign="top"/>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="right" valign="top">39 (70.9)</td>
<td align="right" valign="top">16 (29.1)</td>
<td align="center" valign="top"><bold>0.0095</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;Mutated</td>
<td align="right" valign="top"/>
<td align="right" valign="top"/>
<td align="center" valign="top"/>
<td align="right" valign="top">23 (100)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Age</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02264;67 years</td>
<td align="right" valign="top">24 (43.6)</td>
<td align="right" valign="top">12 (52.2)</td>
<td align="center" valign="top">0.6595</td>
<td align="right" valign="top">25 (40.3)</td>
<td align="right" valign="top">11 (68.8)</td>
<td align="center" valign="top">0.0797</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&gt;67 years</td>
<td align="right" valign="top">31 (56.4)</td>
<td align="right" valign="top">11 (47.8)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">37 (59.7)</td>
<td align="right" valign="top">5 (31.2)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Gender</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Males</td>
<td align="right" valign="top">47 (85.5)</td>
<td align="right" valign="top">7 (30.4)</td>
<td align="center" valign="top"><bold>&lt;0.0001</bold></td>
<td align="right" valign="top">39 (62.9)</td>
<td align="right" valign="top">15 (93.8)</td>
<td align="center" valign="top"><bold>0.0376</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;Females</td>
<td align="right" valign="top">8 (14.5)</td>
<td align="right" valign="top">16 (69.6)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">23 (37.1)</td>
<td align="right" valign="top">1 (6.2)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Histology</td></tr>
<tr>
<td align="left" valign="top">&#x02003;ADC</td>
<td align="right" valign="top">32 (58.2)</td>
<td align="right" valign="top">22 (95.7)</td>
<td align="center" valign="top"><bold>0.0049</bold></td>
<td align="right" valign="top">39 (62.9)</td>
<td align="right" valign="top">15 (93.8)</td>
<td align="center" valign="top"><bold>0.0369</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;SCC</td>
<td align="right" valign="top">20 (36.4)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">20 (32.3)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;LCC</td>
<td align="right" valign="top">2 (3.6)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">2 (3.2)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Others</td>
<td align="right" valign="top">1 (1.8)</td>
<td align="right" valign="top">1 (4.3)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">1 (1.6)</td>
<td align="right" valign="top">1 (6.2)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Tumor stage</td></tr>
<tr>
<td align="left" valign="top">&#x02003;T1 (T1a-T1b)</td>
<td align="right" valign="top">9 (20.0)</td>
<td align="right" valign="top">3 (16.7)</td>
<td align="center" valign="top">0.1511</td>
<td align="right" valign="top">9 (18.4)</td>
<td align="right" valign="top">3 (21.4)</td>
<td align="center" valign="top">0.3189</td></tr>
<tr>
<td align="left" valign="top">&#x02003;T2 (T2a-T2b)</td>
<td align="right" valign="top">20 (44.4)</td>
<td align="right" valign="top">11 (61.1)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">27 (55.1)</td>
<td align="right" valign="top">4 (28.6)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;T3</td>
<td align="right" valign="top">13 (28.9)</td>
<td align="right" valign="top">1 (5.5)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">9 (18.4)</td>
<td align="right" valign="top">5 (35.7)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;T4</td>
<td align="right" valign="top">3 (6.7)</td>
<td align="right" valign="top">3 (16.7)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">4 (8.1)</td>
<td align="right" valign="top">2 (14.3)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Lymph node status</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Negative</td>
<td align="right" valign="top">16 (39)</td>
<td align="right" valign="top">3 (18.8)</td>
<td align="center" valign="top">0.2516</td>
<td align="right" valign="top">15 (34.1)</td>
<td align="right" valign="top">4 (30.8)</td>
<td align="center" valign="top">0.9111</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Positive</td>
<td align="right" valign="top">25 (61)</td>
<td align="right" valign="top">13 (81.2)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">29 (65.9)</td>
<td align="right" valign="top">9 (69.2)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Smoking</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Never smoking</td>
<td align="right" valign="top">4 (15.4)</td>
<td align="right" valign="top">9 (60)</td>
<td align="center" valign="top"><bold>0.0086</bold></td>
<td align="right" valign="top">12 (35.3)</td>
<td align="right" valign="top">1 (14.3)</td>
<td align="center" valign="top">0.2975</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Former smoking</td>
<td align="right" valign="top">21 (80.8)</td>
<td align="right" valign="top">5 (33.3)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">21 (61.8)</td>
<td align="right" valign="top">5 (71.4)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Current smoking</td>
<td align="right" valign="top">1 (3.8)</td>
<td align="right" valign="top">1 (6.7)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">1 (2.9)</td>
<td align="right" valign="top">1 (14.3)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Performance status</td></tr>
<tr>
<td align="left" valign="top">&#x02003;ECOG 0</td>
<td align="right" valign="top">2 (18.2)</td>
<td align="right" valign="top">9 (81.8)</td>
<td align="center" valign="top"><bold>0.0008</bold></td>
<td align="right" valign="top">10 (90.9)</td>
<td align="right" valign="top">1 (9.1)</td>
<td align="center" valign="top">0.5509</td></tr>
<tr>
<td align="left" valign="top">&#x02003;ECOG 1</td>
<td align="right" valign="top">23 (79.3)</td>
<td align="right" valign="top">6 (20.7)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">23 (79.3)</td>
<td align="right" valign="top">6 (20.7)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;ECOG 2</td>
<td align="right" valign="top">2 (100)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">2 (100)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">TKI response</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Complete response</td>
<td align="right" valign="top">0 (0)</td>
<td align="right" valign="top">1 (100)</td>
<td align="center" valign="top"><bold>0.0076</bold></td>
<td align="right" valign="top">1 (100)</td>
<td align="right" valign="top">0 (0)</td>
<td align="center" valign="top">0.5417</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Partial response</td>
<td align="right" valign="top">7 (38.9)</td>
<td align="right" valign="top">11 (61.1)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">16 (88.9)</td>
<td align="right" valign="top">2 (11.1)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Stable disease</td>
<td align="right" valign="top">9 (90)</td>
<td align="right" valign="top">1 (10)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">7 (70)</td>
<td align="right" valign="top">3 (30)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Progressive disease</td>
<td align="right" valign="top">8 (88.9)</td>
<td align="right" valign="top">1 (11.1)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">8 (88.9)</td>
<td align="right" valign="top">1 (11.1)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top">Disease recurrence</td></tr>
<tr>
<td align="left" valign="top">&#x02003;NED</td>
<td align="right" valign="top">13 (35.1)</td>
<td align="right" valign="top">7 (41.2)</td>
<td align="center" valign="top">0.9016</td>
<td align="right" valign="top">14 (34.1)</td>
<td align="right" valign="top">6 (46.2)</td>
<td align="center" valign="top">0.6515</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Recurrence</td>
<td align="right" valign="top">24 (64.9)</td>
<td align="right" valign="top">10 (58.8)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">27 (65.9)</td>
<td align="right" valign="top">7 (53.8)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top"><italic>Let-7g</italic> expression</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Low</td>
<td align="right" valign="top">27 (49.1)</td>
<td align="right" valign="top">11 (47.8)</td>
<td align="center" valign="top">0.8835</td>
<td align="right" valign="top">32 (51.6)</td>
<td align="right" valign="top">6 (37.5)</td>
<td align="center" valign="top">0.4676</td></tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="right" valign="top">28 (50.9)</td>
<td align="right" valign="top">12 (52.2)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">30 (48.4)</td>
<td align="right" valign="top">10 (62.5)</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="7" align="left" valign="top"><italic>miR-21</italic> expression</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Low</td>
<td align="right" valign="top">27 (49.1)</td>
<td align="right" valign="top">12 (52.2)</td>
<td align="center" valign="top">0.8039</td>
<td align="right" valign="top">38 (61.3)</td>
<td align="right" valign="top">1 (6.2)</td>
<td align="center" valign="top"><bold>0.0003</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="right" valign="top">28 (50.9)</td>
<td align="right" valign="top">11 (47.8)</td>
<td align="center" valign="top"/>
<td align="right" valign="top">24 (38.7)</td>
<td align="right" valign="top">15 (93.8)</td>
<td align="center" valign="top"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn4-ijo-43-03-0765">
<label>a</label>
<p>Values are shown as n (&#x00025;).</p></fn><fn id="tfn5-ijo-43-03-0765">
<label>b</label>
<p>p-values were assessed by &#x003C7;<sup>2</sup> test and significant p-values are in bold.</p></fn><fn id="tfn6-ijo-43-03-0765">
<p>ADC, adenocarcinoma; SCC, squamous cell carcinoma; LCC, large cell carcinoma; ECOG, Eastern Cooperative Oncology Group; TKI, tyrosine kinase inhibitor; NED, no evidence of disease.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-ijo-43-03-0765" position="float">
<label>Table IV</label>
<caption>
<p>Putative target genes of the dysregulated <italic>Let-7g</italic> and <italic>miR-21</italic> in the NSCLC patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">miRNA</th>
<th align="left" valign="bottom">Locus</th>
<th align="center" valign="bottom">Pathway</th>
<th align="center" valign="bottom">Target genes</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>Let-7g</italic></td>
<td align="left" valign="top">3p21.1</td>
<td align="left" valign="top">Cell cycle</td>
<td align="left" valign="top"><italic>HMGA2, E2F5, COIL, DNA2, CCNJ, CCND2, CDC25A, LIN28B, BACH1</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Transcription/transduction</td>
<td align="left" valign="top"><italic>BZW1, HIC2</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">DNA repair</td>
<td align="left" valign="top"><italic>ERCC6, SMARCAD1, BACH1</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Apoptosis</td>
<td align="left" valign="top"><italic>N-MYC, CASP3, MAP4K3</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">MAPK/ERK pathway</td>
<td align="left" valign="top"><italic>N-RAS, MAP3K3, MAP4K3, MAPK6</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Insulin/TGF&#x003B2; pathway</td>
<td align="left" valign="top"><italic>FOXP2, IGF1R, IGF2BP2</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">PI3K/Akt pathway</td>
<td align="left" valign="top"><italic>N-RAS, FOXP2, CCND2</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Wnt pathway</td>
<td align="left" valign="top"><italic>END1, END2, N-MYC</italic></td></tr>
<tr>
<td align="left" valign="top"><italic>miR-21</italic></td>
<td align="left" valign="top">17q23.2</td>
<td align="left" valign="top">Cell cycle</td>
<td align="left" valign="top"><italic>STAG2, KIF6</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">DNA repair</td>
<td align="left" valign="top"><italic>MSH2, FANCC, CHD7</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Apoptosis</td>
<td align="left" valign="top"><italic>PDCD4, APAF1, STAT3, MALT1, SGK3</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Angiogenesis</td>
<td align="left" valign="top"><italic>SOS2, JAG1, MAP3K1, STAT3</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Proteolysis</td>
<td align="left" valign="top"><italic>WWP1</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Cell adhesion</td>
<td align="left" valign="top"><italic>CCL1, MATN2, TGFBI, VCL</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">MAPK/ERK pathway</td>
<td align="left" valign="top"><italic>MAP3K1, STAT3, SOS2, NKIRAS1, SPRY1, SPRY2</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">TGF&#x003B2; pathway</td>
<td align="left" valign="top"><italic>BMPR2, SMAD7</italic></td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">G-protein pathway</td>
<td align="left" valign="top"><italic>SOS2, TIAM2, GPR64, KRIT1</italic></td></tr></tbody></table></table-wrap>
<table-wrap id="tV-ijo-43-03-0765" position="float">
<label>Table V</label>
<caption>
<p>Short-term correlations between the prognosis of the NSCLC patients and the <italic>Let-7</italic> and <italic>miR-21</italic> expression.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top">PFS (months)<xref rid="tfn7-ijo-43-03-0765" ref-type="table-fn">a</xref></th>
<th align="left" valign="top">p-value<xref rid="tfn8-ijo-43-03-0765" ref-type="table-fn">b</xref></th>
<th align="center" valign="top">OS (months)<xref rid="tfn7-ijo-43-03-0765" ref-type="table-fn">a</xref></th>
<th align="left" valign="top">p-value<xref rid="tfn8-ijo-43-03-0765" ref-type="table-fn">b</xref></th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>Let-7g</italic> expression</td>
<td align="center" valign="top"/>
<td align="left" valign="top"/>
<td align="center" valign="top"/>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Low</td>
<td align="center" valign="top">18 (15&#x02013;22)</td>
<td align="left" valign="top"><bold>0.01</bold></td>
<td align="center" valign="top">20 (16&#x02013;23)</td>
<td align="left" valign="top"><bold>0.023</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="center" valign="top">12 (8&#x02013;16)</td>
<td align="left" valign="top"/>
<td align="center" valign="top">13 (9&#x02013;17)</td>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top"><italic>miR-21</italic> expression</td>
<td align="center" valign="top"/>
<td align="left" valign="top"/>
<td align="center" valign="top"/>
<td align="left" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;Low</td>
<td align="center" valign="top">19 (16&#x02013;23)</td>
<td align="left" valign="top"><bold>0.0003</bold></td>
<td align="center" valign="top">21 (17&#x02013;25)</td>
<td align="left" valign="top"><bold>0.0045</bold></td></tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="center" valign="top">11 (8&#x02013;14)</td>
<td align="left" valign="top"/>
<td align="center" valign="top">13 (9&#x02013;17)</td>
<td align="left" valign="top"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn7-ijo-43-03-0765">
<label>a</label>
<p>Values are shown as mean (95&#x00025; CI).</p></fn><fn id="tfn8-ijo-43-03-0765">
<label>b</label>
<p>p-values were assessed by the one-way analysis of variance (ANOVA) and significant p-values are in bold.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
