<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "journalpublishing3.dtd">
<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2019.9958</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-9958</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Diagnostic value of serum miR197 and miR145 in non-small cell lung cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Sui</surname><given-names>Ankui</given-names></name>
<xref rid="af1-ol-0-0-9958" ref-type="aff">1</xref>
<xref rid="c1-ol-0-0-9958" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Xifeng</given-names></name>
<xref rid="af2-ol-0-0-9958" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhu</surname><given-names>Qing</given-names></name>
<xref rid="af2-ol-0-0-9958" ref-type="aff">2</xref></contrib>
</contrib-group>
<aff id="af1-ol-0-0-9958"><label>1</label>Department of Oncology, Jimo Hospital of Traditional Chinese Medicine, Qingdao, Shandong 266200, P.R. China</aff>
<aff id="af2-ol-0-0-9958"><label>2</label>Department of Infectious Disease, The People&#x0027;s Hospital of Jimo District, Qingdao, Shandong 266200, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-0-0-9958"><italic>Correspondence to</italic>: Dr Ankui Sui, Department of Oncology, Jimo Hospital of Traditional Chinese Medicine, 1281 Lanao Road, Qingdao, Shandong 266200, P.R. China, E-mail: <email>sn47qn@163.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>03</month>
<year>2019</year></pub-date>
<pub-date pub-type="epub">
<day>23</day>
<month>01</month>
<year>2019</year></pub-date>
<volume>17</volume>
<issue>3</issue>
<fpage>3247</fpage>
<lpage>3252</lpage>
<history>
<date date-type="received"><day>02</day><month>11</month><year>2018</year></date>
<date date-type="accepted"><day>14</day><month>01</month><year>2019</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Sui et al.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Diagnostic value of microRNA (miR)-197 and miR-145 in non-small cell lung cancer (NSCLC) and their relationship with the clinicopathological parameters of NSCLC patients were investigated. Seventy-six patients with NSCLC admitted to Jimo Hospital of Traditional Chinese Medicine from July 2016 to March 2018 were enrolled in group A, while 60 healthy who received health examinations during the same period were enrolled in group B. The relative expression levels of serum miR-197 and miR-145 were detected by RT-qPCR. The relative expression of serum miR-197 in group A was significantly higher than that in group B (P&#x003C;0.001); the relative expression of serum miR-145 in group A was significantly lower than that in group B (P&#x003C;0.001); serum miR-197 in group A showed association with the clinical stage of NSCLC patients (P&#x003C;0.001); serum miR-145 in group A was associated with the clinical stage and pathological differentiation of patients with NSCLC (P&#x003C;0.001). The AUC of serum miR-197 diagnosis of NSCLC was 0.864 (95&#x0025; CI: 0.804&#x2013;0.924), with a diagnostic sensitivity of 73.68&#x0025; and a specificity of 85.00&#x0025;; the AUC of serum miR-145 diagnosis of NSCLC was 0.879 (95&#x0025; CI: 0.824&#x2013;0.934), with a diagnostic sensitivity of 84.21&#x0025; and a specificity of 71.67&#x0025;; the AUC of the diagnosis of the combination of serum miR-197 and miR-145 for NSCLC was 0.952 (95&#x0025; CI: 0.919&#x2013;0.984), with a diagnostic sensitivity of 92.10&#x0025; and a specificity of 78.33&#x0025;. miR-197 and miR-145 are potential new biomarkers in the diagnosis of NSCLC due to their possible involvement in the occurrence and development of NSCLC. With good sensitivity and specificity of single miR-197 and single miR-145 for the diagnosis of NSCLC, the combined detection of miR-197 and miR-145 can achieve a better sensitivity in the diagnosis of NSCLC.</p>
</abstract>
<kwd-group>
<kwd>non-small cell lung cancer</kwd>
<kwd>miR-197</kwd>
<kwd>miR-145</kwd>
<kwd>clinicopathological parameters</kwd>
<kwd>diagnostic value</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Lung cancer is a lethal malignant tumor with a high mortality rate. Its morbidity and mortality rates are on the increase (<xref rid="b1-ol-0-0-9958" ref-type="bibr">1</xref>). Patients with non-small cell lung cancer (NSCLC) account for ~85&#x0025; of all lung cancer patients. According to the World Health Organization, the number of lung cancer cases exceeds 1,605,000 cases/year, and the number of deaths caused by lung cancer accounts for ~18.2&#x0025; of all deaths resulted from malignant tumors (<xref rid="b2-ol-0-0-9958" ref-type="bibr">2</xref>). The few obvious symptoms of patients with early NSCLS make it hard to perform a timely and correct diagnosis. At present, the treatment of NSCLC is still a thorny clinical problem. Although the treatment of early NSCLC has made great progress and patients with NSCLC at the IA tumor stage can achieve a good prognosis after the surgical resection, with a 5-year survival rate of 83.9&#x0025;, most NSCLC patients cannot get a correct diagnosis until reaching the advanced stage, thus, achieving a poor overall survival rate (<xref rid="b3-ol-0-0-9958" ref-type="bibr">3</xref>,<xref rid="b4-ol-0-0-9958" ref-type="bibr">4</xref>). The correct diagnosis in the early stage together with a timely treatment can reduce the mortality of NSCLC patients.</p>
<p>Tissue cell biopsy, the gold standard for the diagnosis of NSCLC, is a traumatic examination and is difficult to practice since tumor tissues generally are not easily available in the clinic (<xref rid="b5-ol-0-0-9958" ref-type="bibr">5</xref>). Despite the ability of imaging CT scan and chest X-ray examination to detect early NSCLC, CT scan screening brings a high rate of false-positive results which may cause a psychological anxiety of patients, resulting in unnecessary histological examination or surgery (<xref rid="b6-ol-0-0-9958" ref-type="bibr">6</xref>,<xref rid="b7-ol-0-0-9958" ref-type="bibr">7</xref>). Considering this, the search for minimally invasive biological markers closely related to the early diagnosis of NSCLC is of great significance for the timely diagnosis and treatment of NSCLC.</p>
<p>MicroRNA (miR), an endogenous small molecule non-coding RNA with a length of 19&#x2013;22 nucleotides, is a class of highly conserved non-protein-coding RNAs involved in the regulation of gene expression (<xref rid="b8-ol-0-0-9958" ref-type="bibr">8</xref>). In mammals, single-stranded miRs can inhibit the translation or promote the degradation of mRNA by binding to a complementary target sequence on a particular mRNA [usually the 3&#x2032; untranslated region (3&#x2032;UTR)] (<xref rid="b9-ol-0-0-9958" ref-type="bibr">9</xref>). More than half of miR genes are located in cancer-associated genomic regions, and stable miR molecules can be detected in peripheral blood, in close relation to cancer diagnosis, treatment, and prognosis (<xref rid="b10-ol-0-0-9958" ref-type="bibr">10</xref>). miR-197 and miR-145 are abnormally expressed in NSCLC and play different roles. For example, Mavridis <italic>et al</italic> (<xref rid="b11-ol-0-0-9958" ref-type="bibr">11</xref>) have identified the expression of miR-197 as an independent predictor of poor prognosis in patients with NSCLC. Skjefstad <italic>et al</italic> (<xref rid="b12-ol-0-0-9958" ref-type="bibr">12</xref>) have pointed out the role of miR-145 in lung cancer as a tumor suppressor molecule and have discovered that it can be used as a biological indicator for the targeted therapy of NSCLC.</p>
<p>At present, few studies on the diagnosis of NSCLC by serum miR-197 and miR-145 have been reported. The present study investigated the expression of miR-197 and miR-145 in the serum of NSCLC patients and explored the diagnostic value of miR-197 and miR-145 and their relationship with the clinicopathological features of NSCLC.</p>
</sec>
<sec sec-type="subjects|methods">
<title>Patients and methods</title>
<sec>
<title/>
<sec>
<title>General information</title>
<p>Seventy-six patients with NSCLC admitted to Jimo Hospital of Traditional Chinese Medicine (Qingdao, China) from July 2016 to March 2018 were enrolled in group A, including 49 males and 27 females, aged from 42 to 73 years, with an average age of 57.61&#x00B1;9.83 years. Group A was divided into 41 patients in clinical stage I&#x2013;II and 35 patients in stage III&#x2013;IV; or divided into 45 highly and moderately differentiated patients and 31 poorly differentiated patients, according to pathological differentiation; or divided into 48 patients with lymph node metastasis and 28 patients without lymph node metastasis. Inclusion criteria: subjects confirmed by pathology, cytology, and imaging as NSCLC patients (<xref rid="b13-ol-0-0-9958" ref-type="bibr">13</xref>); patients with no radiotherapy, chemotherapy, or immunotherapy before surgery; patients with complete clinical data. Exclusion criteria: patients with NSCLC complicated with either cardiopulmonary dysfunction, or severe liver and kidney dysfunction, or connective tissue disease, or endocrine and metabolic diseases, or neurological diseases, or hematopoietic disorder, or immunological diseases; patients with mental illness or a family history of mental illness. Sixty healthy volunteers who received health examinations during the same period were enrolled in group B, including 34 males and 26 females, aged from 31 to 75 years, with an average age of 58.34&#x00B1;10.3 years. All the research subjects and/or their families signed an informed consent after having received details of this study, which was approved by the Ethics Committee of Jimo Hospital of Traditional Chinese Medicine.</p>
</sec>
<sec>
<title>Main instruments and reagents</title>
<p>ABI Prism 7500 fluorescence quantitative PCR instrument (Applied Biosystems; Thermo Fisher Scientific, Inc., Waltham, MA, USA); TRIzol kit (Shanghai Enzyme-linked Biotechnology Co., Ltd., Shanghai, China); TRIzol Plus RNA purification kit [Thermo Fisher Scientific (China) Co., Ltd., Shanghai, China]; M-MLV Reverse Transcription kit (Applied Biosystems; Thermo Fisher Scientific, Inc.); microRNA PCR Premix kit (JRDUN Biotechnology Co., Ltd., Shanghai, China); UV-Vis Spectrophotometer (Bio-Rad Laboratories, Inc., Hercules, CA, USA). The internal reference primers of miR-197, miR-145, and U6 were designed and synthesized by Shanghai Haling Biotechnology Co., Ltd. (Shanghai, China). The sequences of required primers are shown in <xref rid="tI-ol-0-0-9958" ref-type="table">Table I</xref>.</p>
</sec>
<sec>
<title>RT-qPCR detection</title>
<p>Fasting venous blood (5 ml) was taken from the participants in the two groups and was placed in an EDTA-K2 anticoagulation tube for 20 min of centrifugation at 2,600 &#x00D7; g at 22&#x00B0;C. Then, 500 &#x00B5;l of the upper serum was collected and stored in an EP tube. The extraction of serum total RNA was performed with reference to the manufacturer&#x0027;s instructions of TRIzol Plus RNA purification kit. The absorbance of the RNA was measured using an ultraviolet-visible spectrophotometer and the concentration was calculated. Then, 2 &#x00B5;l of total RNA were transcribed into cDNA according to the manufacturer&#x0027;s instructions of the M-MLV Reverse Transcription kit. The reverse transcription reaction system was: 42&#x00B0;C for 60 min and 95&#x00B0;C for 5 min and the synthesized cDNA sample was stored at &#x2212;20&#x00B0;C. The total volume of the reaction system of U6 as the internal reference gene was 20 &#x00B5;l: 10 &#x00B5;l of microRNA PCR Premix, 2 &#x00B5;l of forward primer (10X), 2 &#x00B5;l of reverse primer (10X), and enough ddH<sub>2</sub>O (RNAse/DNAse free) to increase the whole reaction system up to 20 &#x00B5;l. Conditions for PCR amplification: 40 cycles for 90&#x00B0;C for 5 min, 90&#x00B0;C for 5 sec, 60&#x00B0;C for 30 sec, and 72&#x00B0;C for 5 sec. Finally, the ABI PRISM 7500 fluorescence quantitative PCR instrument was used for the analysis of amplification data, and the results were shown using the 2<sup>&#x2212;&#x0394;Cq</sup> method (<xref rid="b14-ol-0-0-9958" ref-type="bibr">14</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using SPSS 19.0 software (IBM Corp., Armonk, NY, USA). Count data were expressed as [n (&#x0025;)] and measurement data as mean &#x00B1; standard deviation (mean &#x00B1; SD). Chi-square test was used for the comparison of count data between groups; t-test was used for the comparison of measurement data between groups; receiver operating characteristic (ROC) curves were drawn to evaluate the efficiency of miR-197 and miR-145 in the diagnosis of NSCLC. P&#x003C;0.05 was considered to indicate a a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>General information</title>
<p>No statistical difference was detected between groups A and B in general clinical data, including sex, age, body mass index, smoking history, drinking history, blood glucose (Glu), hemoglobin (Hb), alanine transaminase (ALT), aspartate transaminase (AST), red blood cell (RBC) count, and platelet (PLT) count (P&#x003E;0.05) (<xref rid="tII-ol-0-0-9958" ref-type="table">Table II</xref>).</p>
</sec>
<sec>
<title>Relative expression levels of serum miR-197 in the two groups</title>
<p>The relative expression level of serum miR-197 in group A was 4.16&#x00B1;0.43, much higher than that in group B (1.08&#x00B1;0.26) (t=48.860, P&#x003C;0.001) (<xref rid="f1-ol-0-0-9958" ref-type="fig">Fig. 1</xref>).</p>
</sec>
<sec>
<title>Relative expression levels of serum miR-145 in the two groups</title>
<p>The relative expression level of serum miR-145 in group A was 1.03&#x00B1;0.37, greatly lower than that in group B (1.26&#x00B1;0.42) (t=3.391, P&#x003C;0.001) (<xref rid="f2-ol-0-0-9958" ref-type="fig">Fig. 2</xref>).</p>
</sec>
<sec>
<title>The relationship of the relative expression levels of serum miR-197 and miR-145 in group A with the clinicopathological features of patients with NSCLC</title>
<p>Serum miR-197 in group A was not associated with clinicopathological features of NSCLC patients, such as sex, age, smoking history, pathological differentiation, lymph node metastasis, and the diameter of the tumor (P&#x003E;0.05), but was associated with clinical stage (P&#x003C;0.001). Serum miR-145 in group A was not related with the clinicopathological features of sex, age, smoking history, lymph node metastasis, and the diameter of the tumor in NSCLC patients (P&#x003E;0.05), was associated with the clinical stage and pathological differentiation (P&#x003C;0.001) (<xref rid="tIII-ol-0-0-9958" ref-type="table">Table III</xref>).</p>
</sec>
<sec>
<title>Diagnostic value of the relative expression levels of serum miR-197, miR-145, and their combination for NSCLC</title>
<p>According to the ROC curves for the diagnosis of the relative expression levels of serum miR-197 and miR-145 on NSCLC, the AUC of serum miR-197 diagnosis of NSCLC was 0.864 (95&#x0025; CI: 0.804&#x2013;0.924), with a cut-off value of 3.260, a diagnostic sensitivity of 73.68&#x0025;, and a specificity of 85.00&#x0025;; the AUC of serum miR-145 diagnosis of NSCLC was 0.879 (95&#x0025; CI: 0.824&#x2013;0.934), with a cut-off value of 1.098, a diagnostic sensitivity of 84.21&#x0025;, and a specificity of 71.67&#x0025;. Another ROC curve was drawn for the diagnosis of the combination of serum miR-197 and miR-145 on NSCLC, and the results showed that the AUC of the diagnosis of the combination of serum miR-197 and miR-145 was 0.952 (95&#x0025; CI: 0.919&#x2013;0.984), with a cut-off value of 0.303, a diagnostic sensitivity of 92.10&#x0025;, and a specificity of 78.33 (<xref rid="tIV-ol-0-0-9958" ref-type="table">Table IV</xref> and <xref rid="f3-ol-0-0-9958" ref-type="fig">Fig. 3</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Lung cancer, a very common malignant tumor, has a morbidity and mortality rate that rank at the top of all malignant tumors (<xref rid="b15-ol-0-0-9958" ref-type="bibr">15</xref>,<xref rid="b16-ol-0-0-9958" ref-type="bibr">16</xref>). Most lung cancer patients cannot get a correct diagnosis until they have reached the advanced stage, thus, they lose the best time for surgery and receive an unsatisfactory 5-year survival rate (<xref rid="b17-ol-0-0-9958" ref-type="bibr">17</xref>). This makes the improvement of the diagnosis rate and overall survival rate of lung cancer patients a knotty problem in the clinic. Histopathological biopsy, the gold standard for NSCLC diagnosis, has limited clinical application due to large trauma and difficulty in tissue collection. Therefore, the identification of non-traumatic serum tumor biomarkers for the diagnosis of NSCLC has become the focus of current research (<xref rid="b18-ol-0-0-9958" ref-type="bibr">18</xref>). Serum tumor markers, such as neuron-specific enolase, carbohydrate antigen, and carcinoembryonic antigen are currently applied to diagnose NSCLC (<xref rid="b19-ol-0-0-9958" ref-type="bibr">19</xref>,<xref rid="b20-ol-0-0-9958" ref-type="bibr">20</xref>), but their sensitivity and specificity of detection are often unsatisfactory. Therefore, much attention has been devoted to the search for new serum tumor markers for the early diagnosis of NSCLC.</p>
<p>miRs, a class of highly conserved non-coding small RNAs that are widely distributed in eukaryotic cells, play an important role in the development and progression of malignant tumors, such as the capability of inhibiting the growth and metastasis of NSCLC cells by reducing the PTEN expression as reported by Xie <italic>et al</italic> (<xref rid="b21-ol-0-0-9958" ref-type="bibr">21</xref>). Due to the access of miR to the blood circulatory system, the miR expression level in the tumor tissue can be reflected to some extent by the expression level of miR in the blood which plays an important role in the early diagnosis, development and prognosis evaluation of tumors (<xref rid="b22-ol-0-0-9958" ref-type="bibr">22</xref>,<xref rid="b23-ol-0-0-9958" ref-type="bibr">23</xref>). The role of miR-197 in cancers has been extensively studied. Fiori <italic>et al</italic> (<xref rid="b24-ol-0-0-9958" ref-type="bibr">24</xref>) have considered NOXA and BMF as target drones of miR-197 and have shown that they could induce apoptosis of p53 wild-type cells. Moreover, Yang <italic>et al</italic> (<xref rid="b25-ol-0-0-9958" ref-type="bibr">25</xref>) have suggested that miR-197 can induce cell apoptosis and inhibit carcinogenicity by targeting MCL-1 in multiple myelomas. miR-145, located on chromosome 5, has an abnormal expression in a variety of tumors, such as esophagus cancer, hepatocellular carcinoma, breast cancer, and gastric cancer (<xref rid="b26-ol-0-0-9958" ref-type="bibr">26</xref>,<xref rid="b27-ol-0-0-9958" ref-type="bibr">27</xref>). Mo <italic>et al</italic> (<xref rid="b28-ol-0-0-9958" ref-type="bibr">28</xref>) have found that miR-145 could inhibit the invasion and migration of lung adenocarcinoma cells by targeting N-cadherin.</p>
<p>The results of this study revealed that the relative expression of serum miR-197 in NSCLC patients (group A) is significantly higher than that in healthy subjects (group B); group A has a much lower relative expression of serum miR-145 than group B; the serum miR-197 in group A is related to the clinical stage of NSCLC patients; serum miR-145 is associated with clinical stage and pathological differentiation in patients with NSCLC. Such results indicate that miR-197 and miR-145 may be involved in the occurrence and development of NSCLC, with a possible tumor-promoting function of miR-197 and a potential tumor-suppressing function of miR-145. Du <italic>et al</italic> (<xref rid="b29-ol-0-0-9958" ref-type="bibr">29</xref>) have found that miR-197, with a greatly increased expression level in NSCLC, could inhibit the expression of the tumor suppressor gene FUS1. Shen <italic>et al</italic> (<xref rid="b30-ol-0-0-9958" ref-type="bibr">30</xref>) have confirmed in their study that the low expression level of miR-145 is closely related to the poor pathological differentiation and prognosis of NSCLC. Therefore, miR-197 and miR-145 are certainly involved in the development and progression of NSCLC to some extent, capable of serving as therapeutic targets and biomarkers of NSCLC. According to the results of the present study, serum miR-197 has a sensitivity of 73.68&#x0025; and a specificity of 85.00&#x0025; in diagnosing NSCLC; serum miR-145 has a sensitivity of 84.21&#x0025; and a specificity of 71.67&#x0025;; the combination of serum miR-197 and miR-145 has a sensitivity of 92.10&#x0025; and a specificity of 78.33&#x0025;, suggesting an improved diagnostic sensitivity by the combined detection and a possibility that miR-197 and miR-145 can be used as biological indicators to diagnose NSCLC with good sensitivity and specificity. miR-197 has been proven to work as a biological indicator for breast cancer screening in the study by Shaker <italic>et al</italic> (<xref rid="b31-ol-0-0-9958" ref-type="bibr">31</xref>), and miR-145 has been shown to function as a biomarker for the detection of ovarian cancer and other human cancers in the study by Liang <italic>et al</italic> (<xref rid="b32-ol-0-0-9958" ref-type="bibr">32</xref>). Such studies confirm the capability of miR-197 and miR-145 to be used as diagnostic biomarkers of NSCLC. However, considering the clinical basis for the diagnosis of NSCLC, cytology and histopathology, the tumor markers of the blood circulation system cannot be used as the standard for the diagnosis of NSCLC. Therefore, the detection of serum miR can work as an early warning of NSCLC for patients in the early tumor stage without clear clinical symptoms, improving the screening and early diagnosis of lung cancer when combined with imaging examinations.</p>
<p>This study confirmed the diagnostic value of miR-197 and miR-145 in NSCLC, but with some limitations. For example, in this study the role of miR-197 and miR-145 in the prognosis of NSCLC patients was not observed, and research on the regulatory mechanisms of the two in NSCLC cells was not conducted. These will be the aim of our future research in order to improve and provide further evidence for this study.</p>
<p>In summary, miR-197 and miR-145 show potential as new biomarkers for the diagnosis of NSCLC due to their possible involvement in the occurrence and development of NSCLC. With good sensitivity and specificity of single miR-197 and single miR-145, the combined detection of miR-197 and miR-145 can achieve a better sensitivity in the diagnosis of NSCLC.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>No funding was received.</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>AS interpreted the data and drafted the manuscript. XZ and QZ acquired and analyzed the general data of patients. AS and QZ performed PCR. All authors read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The study was approved by the Ethics Committee of Jimo Hospital of Traditional Chinese Medicine (Qingdao, China). Patients who participated in this research, signed the informed consent and had complete clinical data. Signed written informed consents were obtained from the patients and/or guardians.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="b1-ol-0-0-9958"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Torre</surname><given-names>LA</given-names></name><name><surname>Bray</surname><given-names>F</given-names></name><name><surname>Siegel</surname><given-names>RL</given-names></name><name><surname>Ferlay</surname><given-names>J</given-names></name><name><surname>Lortet-Tieulent</surname><given-names>J</given-names></name><name><surname>Jemal</surname><given-names>A</given-names></name></person-group><article-title>Global cancer statistics, 2012</article-title><source>CA Cancer J Clin</source><volume>65</volume><fpage>87</fpage><lpage>108</lpage><year>2015</year><pub-id pub-id-type="doi">10.3322/caac.21262</pub-id><pub-id pub-id-type="pmid">25651787</pub-id></element-citation></ref>
<ref id="b2-ol-0-0-9958"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hou</surname><given-names>J</given-names></name><name><surname>Meng</surname><given-names>F</given-names></name><name><surname>Chan</surname><given-names>LW</given-names></name><name><surname>Cho</surname><given-names>WC</given-names></name><name><surname>Wong</surname><given-names>SC</given-names></name></person-group><article-title>Circulating plasma microRNAs as diagnostic markers for NSCLC</article-title><source>Front Genet</source><volume>7</volume><fpage>193</fpage><year>2016</year><pub-id pub-id-type="doi">10.3389/fgene.2016.00193</pub-id><pub-id pub-id-type="pmid">27857721</pub-id></element-citation></ref>
<ref id="b3-ol-0-0-9958"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhu</surname><given-names>W</given-names></name><name><surname>Zhou</surname><given-names>K</given-names></name><name><surname>Zha</surname><given-names>Y</given-names></name><name><surname>Chen</surname><given-names>D</given-names></name><name><surname>He</surname><given-names>J</given-names></name><name><surname>Ma</surname><given-names>H</given-names></name><name><surname>Liu</surname><given-names>X</given-names></name><name><surname>Le</surname><given-names>H</given-names></name><name><surname>Zhang</surname><given-names>Y</given-names></name></person-group><article-title>Diagnostic value of serum miR-182, miR-183, miR-210, and miR-126 levels in patients with early-stage non-small cell lung cancer</article-title><source>PLoS One</source><volume>11</volume><fpage>e0153046</fpage><year>2016</year><pub-id pub-id-type="doi">10.1371/journal.pone.0153046</pub-id><pub-id pub-id-type="pmid">27093275</pub-id></element-citation></ref>
<ref id="b4-ol-0-0-9958"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Scagliotti</surname><given-names>GV</given-names></name><name><surname>Fossati</surname><given-names>R</given-names></name><name><surname>Torri</surname><given-names>V</given-names></name><name><surname>Crin&#x00F2;</surname><given-names>L</given-names></name><name><surname>Giaccone</surname><given-names>G</given-names></name><name><surname>Silvano</surname><given-names>G</given-names></name><name><surname>Martelli</surname><given-names>M</given-names></name><name><surname>Clerici</surname><given-names>M</given-names></name><name><surname>Cognetti</surname><given-names>F</given-names></name><name><surname>Tonato</surname><given-names>M</given-names></name></person-group><article-title>Adjuvant Lung Project Italy/European Organisation for Research Treatment of Cancer-Lung Cancer Cooperative Group Investigators: Randomized study of adjuvant chemotherapy for completely resected stage I, II, or IIIA non-small-cell lung cancer</article-title><source>J Natl Cancer Inst</source><volume>95</volume><fpage>1453</fpage><lpage>1461</lpage><year>2003</year><pub-id pub-id-type="doi">10.1093/jnci/djg059</pub-id><pub-id pub-id-type="pmid">14519751</pub-id></element-citation></ref>
<ref id="b5-ol-0-0-9958"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Navani</surname><given-names>N</given-names></name><name><surname>Nankivell</surname><given-names>M</given-names></name><name><surname>Lawrence</surname><given-names>DR</given-names></name><name><surname>Lock</surname><given-names>S</given-names></name><name><surname>Makker</surname><given-names>H</given-names></name><name><surname>Baldwin</surname><given-names>DR</given-names></name><name><surname>Stephens</surname><given-names>RJ</given-names></name><name><surname>Parmar</surname><given-names>MK</given-names></name><name><surname>Spiro</surname><given-names>SG</given-names></name><name><surname>Morris</surname><given-names>S</given-names></name><etal/><collab collab-type="corp-author">Lung-BOOST trial investigators</collab></person-group><article-title>Lung cancer diagnosis and staging with endobronchial ultrasound-guided transbronchial needle aspiration compared with conventional approaches: An open-label, pragmatic, randomised controlled trial</article-title><source>Lancet Respir Med</source><volume>3</volume><fpage>282</fpage><lpage>289</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/S2213-2600(15)00029-6</pub-id><pub-id pub-id-type="pmid">25660225</pub-id></element-citation></ref>
<ref id="b6-ol-0-0-9958"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bonatti</surname><given-names>M</given-names></name><name><surname>Vezzali</surname><given-names>N</given-names></name><name><surname>Lombardo</surname><given-names>F</given-names></name><name><surname>Ferro</surname><given-names>F</given-names></name><name><surname>Zamboni</surname><given-names>G</given-names></name><name><surname>Tauber</surname><given-names>M</given-names></name><name><surname>Bonatti</surname><given-names>G</given-names></name></person-group><article-title>Gallbladder adenomyomatosis: Imaging findings, tricks and pitfalls</article-title><source>Insights Imaging</source><volume>8</volume><fpage>243</fpage><lpage>253</lpage><year>2017</year><pub-id pub-id-type="doi">10.1007/s13244-017-0544-7</pub-id><pub-id pub-id-type="pmid">28127678</pub-id></element-citation></ref>
<ref id="b7-ol-0-0-9958"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aberle</surname><given-names>DR</given-names></name><name><surname>Adams</surname><given-names>AM</given-names></name><name><surname>Berg</surname><given-names>CD</given-names></name><name><surname>Black</surname><given-names>WC</given-names></name><name><surname>Clapp</surname><given-names>JD</given-names></name><name><surname>Fagerstrom</surname><given-names>RM</given-names></name><name><surname>Gareen</surname><given-names>IF</given-names></name><name><surname>Gatsonis</surname><given-names>C</given-names></name><name><surname>Marcus</surname><given-names>PM</given-names></name><name><surname>Sicks</surname><given-names>JD</given-names></name><collab collab-type="corp-author">National Lung Screening Trial Research Team</collab></person-group><article-title>Reduced lung-cancer mortality with low-dose computed tomographic screening</article-title><source>N Engl J Med</source><volume>365</volume><fpage>395</fpage><lpage>409</lpage><year>2011</year><pub-id pub-id-type="doi">10.1056/NEJMoa1102873</pub-id><pub-id pub-id-type="pmid">21714641</pub-id></element-citation></ref>
<ref id="b8-ol-0-0-9958"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ha</surname><given-names>M</given-names></name><name><surname>Kim</surname><given-names>VN</given-names></name></person-group><article-title>Regulation of microRNA biogenesis</article-title><source>Nat Rev Mol Cell Biol</source><volume>15</volume><fpage>509</fpage><lpage>524</lpage><year>2014</year><pub-id pub-id-type="doi">10.1038/nrm3838</pub-id><pub-id pub-id-type="pmid">25027649</pub-id></element-citation></ref>
<ref id="b9-ol-0-0-9958"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mehta</surname><given-names>AK</given-names></name><name><surname>Hua</surname><given-names>K</given-names></name><name><surname>Whipple</surname><given-names>W</given-names></name><name><surname>Nguyen</surname><given-names>MT</given-names></name><name><surname>Liu</surname><given-names>CT</given-names></name><name><surname>Haybaeck</surname><given-names>J</given-names></name><name><surname>Weidhaas</surname><given-names>J</given-names></name><name><surname>Settleman</surname><given-names>J</given-names></name><name><surname>Singh</surname><given-names>A</given-names></name></person-group><article-title>Regulation of autophagy, NF-&#x03BA;B signaling, and cell viability by miR-124 in KRAS mutant mesenchymal-like NSCLC cells</article-title><source>Sci Signal</source><volume>10</volume><fpage>10</fpage><year>2017</year><pub-id pub-id-type="doi">10.1126/scisignal.aam6291</pub-id></element-citation></ref>
<ref id="b10-ol-0-0-9958"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>RJ</given-names></name><name><surname>Zheng</surname><given-names>YH</given-names></name><name><surname>Wang</surname><given-names>P</given-names></name><name><surname>Zhang</surname><given-names>JZ</given-names></name></person-group><article-title>Serum miR-125a-5p, miR-145 and miR-146a as diagnostic biomarkers in non-small cell lung cancer</article-title><source>Int J Clin Exp Pathol</source><volume>8</volume><fpage>765</fpage><lpage>771</lpage><year>2015</year><pub-id pub-id-type="pmid">25755772</pub-id></element-citation></ref>
<ref id="b11-ol-0-0-9958"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mavridis</surname><given-names>K</given-names></name><name><surname>Gueugnon</surname><given-names>F</given-names></name><name><surname>Petit-Courty</surname><given-names>A</given-names></name><name><surname>Courty</surname><given-names>Y</given-names></name><name><surname>Barascu</surname><given-names>A</given-names></name><name><surname>Guyetant</surname><given-names>S</given-names></name><name><surname>Scorilas</surname><given-names>A</given-names></name></person-group><article-title>The oncomiR miR-197 is a novel prognostic indicator for non-small cell lung cancer patients</article-title><source>Br J Cancer</source><volume>112</volume><fpage>1527</fpage><lpage>1535</lpage><year>2015</year><pub-id pub-id-type="doi">10.1038/bjc.2015.119</pub-id><pub-id pub-id-type="pmid">25867273</pub-id></element-citation></ref>
<ref id="b12-ol-0-0-9958"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Skjefstad</surname><given-names>K</given-names></name><name><surname>Johannessen</surname><given-names>C</given-names></name><name><surname>Grindstad</surname><given-names>T</given-names></name><name><surname>Kilvaer</surname><given-names>T</given-names></name><name><surname>Paulsen</surname><given-names>EE</given-names></name><name><surname>Pedersen</surname><given-names>M</given-names></name><name><surname>Donnem</surname><given-names>T</given-names></name><name><surname>Andersen</surname><given-names>S</given-names></name><name><surname>Bremnes</surname><given-names>R</given-names></name><name><surname>Richardsen</surname><given-names>E</given-names></name><etal/></person-group><article-title>A gender specific improved survival related to stromal miR-143 and miR-145 expression in non-small cell lung cancer</article-title><source>Sci Rep</source><volume>8</volume><fpage>8549</fpage><year>2018</year><pub-id pub-id-type="doi">10.1038/s41598-018-26864-w</pub-id><pub-id pub-id-type="pmid">29867125</pub-id></element-citation></ref>
<ref id="b13-ol-0-0-9958"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Novello</surname><given-names>S</given-names></name><name><surname>Barlesi</surname><given-names>F</given-names></name><name><surname>Califano</surname><given-names>R</given-names></name><name><surname>Cufer</surname><given-names>T</given-names></name><name><surname>Ekman</surname><given-names>S</given-names></name><name><surname>Levra</surname><given-names>MG</given-names></name><name><surname>Kerr</surname><given-names>K</given-names></name><name><surname>Popat</surname><given-names>S</given-names></name><name><surname>Reck</surname><given-names>M</given-names></name><name><surname>Senan</surname><given-names>S</given-names></name><etal/><collab collab-type="corp-author">ESMO Guidelines Committee</collab></person-group><article-title>Metastatic non-small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up</article-title><source>Ann Oncol</source><volume>27</volume><supplement>Suppl 5</supplement><fpage>v1</fpage><lpage>v27</lpage><year>2016</year><pub-id pub-id-type="doi">10.1093/annonc/mdw326</pub-id><pub-id pub-id-type="pmid">27664245</pub-id></element-citation></ref>
<ref id="b14-ol-0-0-9958"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Livak</surname><given-names>KJ</given-names></name><name><surname>Schmittgen</surname><given-names>TD</given-names></name></person-group><article-title>Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method</article-title><source>Methods</source><volume>25</volume><fpage>402</fpage><lpage>408</lpage><year>2001</year><pub-id pub-id-type="doi">10.1006/meth.2001.1262</pub-id><pub-id pub-id-type="pmid">11846609</pub-id></element-citation></ref>
<ref id="b15-ol-0-0-9958"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guisier</surname><given-names>F</given-names></name><name><surname>Sala&#x00FC;n</surname><given-names>M</given-names></name><name><surname>Lachkar</surname><given-names>S</given-names></name><name><surname>Lamy</surname><given-names>A</given-names></name><name><surname>Piton</surname><given-names>N</given-names></name><name><surname>Obstoy</surname><given-names>B</given-names></name><name><surname>Sabourin</surname><given-names>JC</given-names></name><name><surname>Thiberville</surname><given-names>L</given-names></name></person-group><article-title>Molecular analysis of peripheral non-squamous non-small cell lung cancer sampled by radial EBUS</article-title><source>Respirology</source><volume>21</volume><fpage>718</fpage><lpage>726</lpage><year>2016</year><pub-id pub-id-type="doi">10.1111/resp.12737</pub-id><pub-id pub-id-type="pmid">27099101</pub-id></element-citation></ref>
<ref id="b16-ol-0-0-9958"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Torre</surname><given-names>LA</given-names></name><name><surname>Siegel</surname><given-names>RL</given-names></name><name><surname>Jemal</surname><given-names>A</given-names></name></person-group><article-title>Lung cancer statistics</article-title><source>Adv Exp Med Biol</source><volume>893</volume><fpage>1</fpage><lpage>19</lpage><year>2016</year><pub-id pub-id-type="doi">10.1007/978-3-319-24223-1_1</pub-id><pub-id pub-id-type="pmid">26667336</pub-id></element-citation></ref>
<ref id="b17-ol-0-0-9958"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Montani</surname><given-names>F</given-names></name><name><surname>Marzi</surname><given-names>MJ</given-names></name><name><surname>Dezi</surname><given-names>F</given-names></name><name><surname>Dama</surname><given-names>E</given-names></name><name><surname>Carletti</surname><given-names>RM</given-names></name><name><surname>Bonizzi</surname><given-names>G</given-names></name><name><surname>Bertolotti</surname><given-names>R</given-names></name><name><surname>Bellomi</surname><given-names>M</given-names></name><name><surname>Rampinelli</surname><given-names>C</given-names></name><name><surname>Maisonneuve</surname><given-names>P</given-names></name><etal/></person-group><article-title>miR-Test: A blood test for lung cancer early detection</article-title><source>J Natl Cancer Inst</source><volume>107</volume><fpage>djv063</fpage><year>2015</year><pub-id pub-id-type="doi">10.1093/jnci/djv063</pub-id><pub-id pub-id-type="pmid">25794889</pub-id></element-citation></ref>
<ref id="b18-ol-0-0-9958"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>JS</given-names></name><name><surname>Li</surname><given-names>BJ</given-names></name><name><surname>Lu</surname><given-names>HW</given-names></name><name><surname>Chen</surname><given-names>Y</given-names></name><name><surname>Lu</surname><given-names>C</given-names></name><name><surname>Zhu</surname><given-names>RX</given-names></name><name><surname>Liu</surname><given-names>SH</given-names></name><name><surname>Yi</surname><given-names>QT</given-names></name><name><surname>Li</surname><given-names>J</given-names></name><name><surname>Song</surname><given-names>CH</given-names></name></person-group><article-title>Serum miR-152, miR-148a, miR-148b, and miR-21 as novel biomarkers in non-small cell lung cancer screening</article-title><source>Tumour Biol</source><volume>36</volume><fpage>3035</fpage><lpage>3042</lpage><year>2015</year><pub-id pub-id-type="doi">10.1007/s13277-014-2938-1</pub-id><pub-id pub-id-type="pmid">25501703</pub-id></element-citation></ref>
<ref id="b19-ol-0-0-9958"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Molina</surname><given-names>R</given-names></name><name><surname>Marrades</surname><given-names>RM</given-names></name><name><surname>Aug&#x00E9;</surname><given-names>JM</given-names></name><name><surname>Escudero</surname><given-names>JM</given-names></name><name><surname>Vi&#x00F1;olas</surname><given-names>N</given-names></name><name><surname>Reguart</surname><given-names>N</given-names></name><name><surname>Ramirez</surname><given-names>J</given-names></name><name><surname>Filella</surname><given-names>X</given-names></name><name><surname>Molins</surname><given-names>L</given-names></name><name><surname>Agust&#x00ED;</surname><given-names>A</given-names></name></person-group><article-title>Assessment of a combined panel of six serum tumor markers for lung cancer</article-title><source>Am J Respir Crit Care Med</source><volume>193</volume><fpage>427</fpage><lpage>437</lpage><year>2016</year><pub-id pub-id-type="doi">10.1164/rccm.201404-0603OC</pub-id><pub-id pub-id-type="pmid">26465739</pub-id></element-citation></ref>
<ref id="b20-ol-0-0-9958"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Holdenrieder</surname><given-names>S</given-names></name><name><surname>von Pawel</surname><given-names>J</given-names></name><name><surname>Dankelmann</surname><given-names>E</given-names></name><name><surname>Duell</surname><given-names>T</given-names></name><name><surname>Faderl</surname><given-names>B</given-names></name><name><surname>Markus</surname><given-names>A</given-names></name><name><surname>Siakavara</surname><given-names>M</given-names></name><name><surname>Wagner</surname><given-names>H</given-names></name><name><surname>Feldmann</surname><given-names>K</given-names></name><name><surname>Hoffmann</surname><given-names>H</given-names></name><etal/></person-group><article-title>Nucleosomes, ProGRP, NSE, CYFRA 21-1, and CEA in monitoring first-line chemotherapy of small cell lung cancer</article-title><source>Clin Cancer Res</source><volume>14</volume><fpage>7813</fpage><lpage>7821</lpage><year>2008</year><pub-id pub-id-type="doi">10.1158/1078-0432.CCR-08-0678</pub-id><pub-id pub-id-type="pmid">19047109</pub-id></element-citation></ref>
<ref id="b21-ol-0-0-9958"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xie</surname><given-names>X</given-names></name><name><surname>Liu</surname><given-names>HT</given-names></name><name><surname>Mei</surname><given-names>J</given-names></name><name><surname>Ding</surname><given-names>FB</given-names></name><name><surname>Xiao</surname><given-names>HB</given-names></name><name><surname>Hu</surname><given-names>FQ</given-names></name><name><surname>Hu</surname><given-names>R</given-names></name><name><surname>Wang</surname><given-names>MS</given-names></name></person-group><article-title>miR-106a promotes growth and metastasis of non-small cell lung cancer by targeting PTEN</article-title><source>Int J Clin Exp Pathol</source><volume>8</volume><fpage>3827</fpage><lpage>3834</lpage><year>2015</year><pub-id pub-id-type="pmid">26097565</pub-id></element-citation></ref>
<ref id="b22-ol-0-0-9958"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nadal</surname><given-names>E</given-names></name><name><surname>Truini</surname><given-names>A</given-names></name><name><surname>Nakata</surname><given-names>A</given-names></name><name><surname>Lin</surname><given-names>J</given-names></name><name><surname>Reddy</surname><given-names>RM</given-names></name><name><surname>Chang</surname><given-names>AC</given-names></name><name><surname>Ramnath</surname><given-names>N</given-names></name><name><surname>Gotoh</surname><given-names>N</given-names></name><name><surname>Beer</surname><given-names>DG</given-names></name><name><surname>Chen</surname><given-names>G</given-names></name></person-group><article-title>A novel serum 4-microRNA signature for lung cancer detection</article-title><source>Sci Rep</source><volume>5</volume><fpage>12464</fpage><year>2015</year><pub-id pub-id-type="doi">10.1038/srep12464</pub-id><pub-id pub-id-type="pmid">26202143</pub-id></element-citation></ref>
<ref id="b23-ol-0-0-9958"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zuberi</surname><given-names>M</given-names></name><name><surname>Khan</surname><given-names>I</given-names></name><name><surname>Mir</surname><given-names>R</given-names></name><name><surname>Gandhi</surname><given-names>G</given-names></name><name><surname>Ray</surname><given-names>PC</given-names></name><name><surname>Saxena</surname><given-names>A</given-names></name></person-group><article-title>Utility of serum miR-125b as a diagnostic and prognostic indicator and its alliance with a panel of tumor suppressor genes in epithelial ovarian cancer</article-title><source>PLoS One</source><volume>11</volume><fpage>e0153902</fpage><year>2016</year><pub-id pub-id-type="doi">10.1371/journal.pone.0153902</pub-id><pub-id pub-id-type="pmid">27092777</pub-id></element-citation></ref>
<ref id="b24-ol-0-0-9958"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fiori</surname><given-names>ME</given-names></name><name><surname>Barbini</surname><given-names>C</given-names></name><name><surname>Haas</surname><given-names>TL</given-names></name><name><surname>Marroncelli</surname><given-names>N</given-names></name><name><surname>Patrizii</surname><given-names>M</given-names></name><name><surname>Biffoni</surname><given-names>M</given-names></name><name><surname>De Maria</surname><given-names>R</given-names></name></person-group><article-title>Antitumor effect of miR-197 targeting in p53 wild-type lung cancer</article-title><source>Cell Death Differ</source><volume>21</volume><fpage>774</fpage><lpage>782</lpage><year>2014</year><pub-id pub-id-type="doi">10.1038/cdd.2014.6</pub-id><pub-id pub-id-type="pmid">24488097</pub-id></element-citation></ref>
<ref id="b25-ol-0-0-9958"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>Y</given-names></name><name><surname>Li</surname><given-names>F</given-names></name><name><surname>Saha</surname><given-names>MN</given-names></name><name><surname>Abdi</surname><given-names>J</given-names></name><name><surname>Qiu</surname><given-names>L</given-names></name><name><surname>Chang</surname><given-names>H</given-names></name></person-group><article-title>miR-137 and miR-197 induce apoptosis and suppress tumorigenicity by targeting MCL-1 in multiple myeloma</article-title><source>Clin Cancer Res</source><volume>21</volume><fpage>2399</fpage><lpage>2411</lpage><year>2015</year><pub-id pub-id-type="doi">10.1158/1078-0432.CCR-14-1437</pub-id><pub-id pub-id-type="pmid">25724519</pub-id></element-citation></ref>
<ref id="b26-ol-0-0-9958"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pekow</surname><given-names>J</given-names></name><name><surname>Meckel</surname><given-names>K</given-names></name><name><surname>Dougherty</surname><given-names>U</given-names></name><name><surname>Butun</surname><given-names>F</given-names></name><name><surname>Mustafi</surname><given-names>R</given-names></name><name><surname>Lim</surname><given-names>J</given-names></name><name><surname>Crofton</surname><given-names>C</given-names></name><name><surname>Chen</surname><given-names>X</given-names></name><name><surname>Joseph</surname><given-names>L</given-names></name><name><surname>Bissonnette</surname><given-names>M</given-names></name></person-group><article-title>Tumor suppressors miR-143 and miR-145 and predicted target proteins API5, ERK5, K-RAS, and IRS-1 are differentially expressed in proximal and distal colon</article-title><source>Am J Physiol Gastrointest Liver Physiol</source><volume>308</volume><fpage>G179</fpage><lpage>G187</lpage><year>2015</year><pub-id pub-id-type="doi">10.1152/ajpgi.00208.2014</pub-id><pub-id pub-id-type="pmid">25477374</pub-id></element-citation></ref>
<ref id="b27-ol-0-0-9958"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xie</surname><given-names>H</given-names></name><name><surname>Ren</surname><given-names>X</given-names></name><name><surname>Xin</surname><given-names>S</given-names></name><name><surname>Lan</surname><given-names>X</given-names></name><name><surname>Lu</surname><given-names>G</given-names></name><name><surname>Lin</surname><given-names>Y</given-names></name><name><surname>Yang</surname><given-names>S</given-names></name><name><surname>Zeng</surname><given-names>Z</given-names></name><name><surname>Liao</surname><given-names>W</given-names></name><name><surname>Ding</surname><given-names>YQ</given-names></name><etal/></person-group><article-title>Emerging roles of circRNA_001569 targeting miR-145 in the proliferation and invasion of colorectal cancer</article-title><source>Oncotarget</source><volume>7</volume><fpage>26680</fpage><lpage>26691</lpage><year>2016</year><pub-id pub-id-type="pmid">27058418</pub-id></element-citation></ref>
<ref id="b28-ol-0-0-9958"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mo</surname><given-names>D</given-names></name><name><surname>Yang</surname><given-names>D</given-names></name><name><surname>Xiao</surname><given-names>X</given-names></name><name><surname>Sun</surname><given-names>R</given-names></name><name><surname>Huang</surname><given-names>L</given-names></name><name><surname>Xu</surname><given-names>J</given-names></name></person-group><article-title>MiRNA-145 suppresses lung adenocarcinoma cell invasion and migration by targeting N-cadherin</article-title><source>Biotechnol Lett</source><volume>39</volume><fpage>701</fpage><lpage>710</lpage><year>2017</year><pub-id pub-id-type="doi">10.1007/s10529-017-2290-9</pub-id><pub-id pub-id-type="pmid">28120164</pub-id></element-citation></ref>
<ref id="b29-ol-0-0-9958"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Du</surname><given-names>L</given-names></name><name><surname>Schageman</surname><given-names>JJ</given-names></name><name><surname>Subauste</surname><given-names>MC</given-names></name><name><surname>Saber</surname><given-names>B</given-names></name><name><surname>Hammond</surname><given-names>SM</given-names></name><name><surname>Prudkin</surname><given-names>L</given-names></name><name><surname>Wistuba</surname><given-names>II</given-names></name><name><surname>Ji</surname><given-names>L</given-names></name><name><surname>Roth</surname><given-names>JA</given-names></name><name><surname>Minna</surname><given-names>JD</given-names></name><etal/></person-group><article-title>miR-93, miR-98, and miR-197 regulate expression of tumor suppressor gene FUS1</article-title><source>Mol Cancer Res</source><volume>7</volume><fpage>1234</fpage><lpage>1243</lpage><year>2009</year><pub-id pub-id-type="doi">10.1158/1541-7786.MCR-08-0507</pub-id><pub-id pub-id-type="pmid">19671678</pub-id></element-citation></ref>
<ref id="b30-ol-0-0-9958"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shen</surname><given-names>H</given-names></name><name><surname>Shen</surname><given-names>J</given-names></name><name><surname>Wang</surname><given-names>L</given-names></name><name><surname>Shi</surname><given-names>Z</given-names></name><name><surname>Wang</surname><given-names>M</given-names></name><name><surname>Jiang</surname><given-names>BH</given-names></name><name><surname>Shu</surname><given-names>Y</given-names></name></person-group><article-title>Low miR-145 expression level is associated with poor pathological differentiation and poor prognosis in non-small cell lung cancer</article-title><source>Biomed Pharmacother</source><volume>69</volume><fpage>301</fpage><lpage>305</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.biopha.2014.12.019</pub-id><pub-id pub-id-type="pmid">25661374</pub-id></element-citation></ref>
<ref id="b31-ol-0-0-9958"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shaker</surname><given-names>O</given-names></name><name><surname>Maher</surname><given-names>M</given-names></name><name><surname>Nassar</surname><given-names>Y</given-names></name><name><surname>Morcos</surname><given-names>G</given-names></name><name><surname>Gad</surname><given-names>Z</given-names></name></person-group><article-title>Role of microRNAs &#x2212;29b-2, &#x2212;155, &#x2212;197 and &#x2212;205 as diagnostic biomarkers in serum of breast cancer females</article-title><source>Gene</source><volume>560</volume><fpage>77</fpage><lpage>82</lpage><year>2015</year><pub-id pub-id-type="doi">10.1016/j.gene.2015.01.062</pub-id><pub-id pub-id-type="pmid">25644077</pub-id></element-citation></ref>
<ref id="b32-ol-0-0-9958"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liang</surname><given-names>H</given-names></name><name><surname>Jiang</surname><given-names>Z</given-names></name><name><surname>Xie</surname><given-names>G</given-names></name><name><surname>Lu</surname><given-names>Y</given-names></name></person-group><article-title>Serum microRNA-145 as a novel biomarker in human ovarian cancer</article-title><source>Tumour Biol</source><volume>36</volume><fpage>5305</fpage><lpage>5313</lpage><year>2015</year><pub-id pub-id-type="doi">10.1007/s13277-015-3191-y</pub-id><pub-id pub-id-type="pmid">25722112</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-ol-0-0-9958" position="float">
<label>Figure 1.</label>
<caption><p>Comparison of the relative expression levels of serum miR-197 between the two groups. The RT-qPCR results showed that the relative expression of serum miR-197 in group A was significantly higher than that in group B (t=48.860, &#x002A;P&#x003C;0.001).</p></caption>
<graphic xlink:href="ol-17-03-3247-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-9958" position="float">
<label>Figure 2.</label>
<caption><p>Comparison of the relative expression levels of serum miR-145 between the two groups. According to the RT-qPCR results, the relative expression of serum miR-145 in group A was significantly lower than that in group B (t=3.391, &#x002A;P&#x003C;0.001).</p></caption>
<graphic xlink:href="ol-17-03-3247-g01.tif"/>
</fig>
<fig id="f3-ol-0-0-9958" position="float">
<label>Figure 3.</label>
<caption><p>ROC curves of the relative expression levels of serum miR-197, miR-145, and their combination for the diagnosis of NSCLC. ROC, receiver operating characteristic; NSCLC, non-small cell lung cancer.</p></caption>
<graphic xlink:href="ol-17-03-3247-g02.tif"/>
</fig>
<table-wrap id="tI-ol-0-0-9958" position="float">
<label>Table I.</label>
<caption><p>Primer sequences of miR-197, miR-145, and U6.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Gene</th>
<th align="center" valign="bottom">Forward primers</th>
<th align="center" valign="bottom">Reverse primers</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">miR-197</td>
<td align="left" valign="top">5&#x2032;-ATTACTTTGCCCATATTCATTTTGA-3&#x2032;</td>
<td align="left" valign="top">5&#x2032;-ATTCTAGAGGCCGAGGCGGCCGACATGT-3&#x2032;</td>
</tr>
<tr>
<td align="left" valign="top">miR-145</td>
<td align="left" valign="top">5&#x2032;-CAGTGCGTGTCGTGGAGT-3&#x2032;</td>
<td align="left" valign="top">5&#x2032;-AGGTCCAGTTTTCCCAGG-3&#x2032;</td>
</tr>
<tr>
<td align="left" valign="top">U6</td>
<td align="left" valign="top">5&#x2032;-CTCGCTTCGGCAGCACA-3&#x2032;</td>
<td align="left" valign="top">5&#x2032;-AACGCTTCACGAATTTGCGT-3&#x2032;</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tII-ol-0-0-9958" position="float">
<label>Table II.</label>
<caption><p>General information of groups A and B [n (&#x0025;) or mean &#x00B1; SD].</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Factor</th>
<th align="center" valign="bottom">Group A (n=76)</th>
<th align="center" valign="bottom">Group B (n=60)</th>
<th align="center" valign="bottom">t/&#x03C7;<sup>2</sup> value</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td align="center" valign="top">0.859</td>
<td align="center" valign="top">0.354</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">49 (64.47)</td>
<td align="center" valign="top">34 (56.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">27 (35.53)</td>
<td align="center" valign="top">26 (43.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">57.61&#x00B1;9.83</td>
<td align="center" valign="top">58.34&#x00B1;10.3</td>
<td align="center" valign="top">0.428</td>
<td align="center" valign="top">0.670</td>
</tr>
<tr>
<td align="left" valign="top">Body mass index (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">18.94&#x00B1;3.06</td>
<td align="center" valign="top">19.37&#x00B1;2.95</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoking</td>
<td/>
<td/>
<td align="center" valign="top">3.620</td>
<td align="center" valign="top">0.057</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">39 (51.32)</td>
<td align="center" valign="top">21 (35.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">37 (48.68)</td>
<td align="center" valign="top">39 (65.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Drinking</td>
<td/>
<td/>
<td align="center" valign="top">0.887</td>
<td align="center" valign="top">0.346</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">30 (39.47)</td>
<td align="center" valign="top">19 (31.67)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">46 (60.53)</td>
<td align="center" valign="top">41 (68.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Glu (mmol/l)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;5.98&#x00B1;0.57</td>
<td align="center" valign="top">&#x00A0;&#x00A0;6.07&#x00B1;0.43</td>
<td align="center" valign="top">1.016</td>
<td align="center" valign="top">0.312</td>
</tr>
<tr>
<td align="left" valign="top">Hb (gm/dl)</td>
<td align="center" valign="top">14.45&#x00B1;0.98</td>
<td align="center" valign="top">14.68&#x00B1;0.86</td>
<td align="center" valign="top">1.433</td>
<td align="center" valign="top">0.154</td>
</tr>
<tr>
<td align="left" valign="top">ALT (U/l)</td>
<td align="center" valign="top">21.05&#x00B1;9.14</td>
<td align="center" valign="top">22.47&#x00B1;9.53</td>
<td align="center" valign="top">0.883</td>
<td align="center" valign="top">0.379</td>
</tr>
<tr>
<td align="left" valign="top">AST (U/l)</td>
<td align="center" valign="top">19.27&#x00B1;7.09</td>
<td align="center" valign="top">18.49&#x00B1;7.57</td>
<td align="center" valign="top">0.618</td>
<td align="center" valign="top">0.538</td>
</tr>
<tr>
<td align="left" valign="top">RBC (&#x00D7;10<sup>12</sup>/l)</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4.29&#x00B1;0.48</td>
<td align="center" valign="top">&#x00A0;&#x00A0;4.23&#x00B1;0.37</td>
<td align="center" valign="top">0.799</td>
<td align="center" valign="top">0.426</td>
</tr>
<tr>
<td align="left" valign="top">PLT (&#x00D7;10<sup>9</sup>/l)</td>
<td align="center" valign="top">153.75&#x00B1;18.37</td>
<td align="center" valign="top">159.08&#x00B1;21.37</td>
<td align="center" valign="top">1.563</td>
<td align="center" valign="top">0.120</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-9958"><p>SD, standard deviation; Glu, glucose; Hb, hemoglobin; ALT, alanine transaminase; AST, aspartate transaminase; RBC, red blood cell; PLT, platelet.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-ol-0-0-9958" position="float">
<label>Table III.</label>
<caption><p>Relationship of the relative expression levels of serum miR-197 and miR-145 in group A with the clinicopathological features of patients with NSCLC (mean &#x00B1; SD).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Clinicopathological feature</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">miR-197</th>
<th align="center" valign="bottom">t value</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">miR-145</th>
<th align="center" valign="bottom">t value</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.974</td>
<td align="center" valign="top">0.333</td>
<td/>
<td align="center" valign="top">0.803</td>
<td align="center" valign="top">0.425</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">49</td>
<td align="center" valign="top">4.18&#x00B1;0.51</td>
<td/>
<td/>
<td align="center" valign="top">1.12&#x00B1;0.27</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">4.07&#x00B1;0.39</td>
<td/>
<td/>
<td align="center" valign="top">1.07&#x00B1;0.24</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;1.360</td>
<td align="center" valign="top">0.178</td>
<td/>
<td align="center" valign="top">1.712</td>
<td align="center" valign="top">0.091</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;60</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">4.04&#x00B1;0.45</td>
<td/>
<td/>
<td align="center" valign="top">1.15&#x00B1;0.31</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;60</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">4.21&#x00B1;0.58</td>
<td/>
<td/>
<td align="center" valign="top">1.03&#x00B1;0.28</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoking</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.937</td>
<td align="center" valign="top">0.352</td>
<td/>
<td align="center" valign="top">1.223</td>
<td align="center" valign="top">0.225</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">4.19&#x00B1;0.54</td>
<td/>
<td/>
<td align="center" valign="top">1.17&#x00B1;0.29</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">4.08&#x00B1;0.48</td>
<td/>
<td/>
<td align="center" valign="top">1.08&#x00B1;0.35</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Clinical stage</td>
<td/>
<td/>
<td align="center" valign="top">14.290</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td/>
<td align="center" valign="top">9.360</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Stage I&#x2013;II</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">3.45&#x00B1;0.49</td>
<td/>
<td/>
<td align="center" valign="top">1.39&#x00B1;0.30</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Stage III&#x2013;IV</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">5.27&#x00B1;0.62</td>
<td/>
<td/>
<td align="center" valign="top">0.84&#x00B1;0.21</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Pathological differentiation</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;1.203</td>
<td align="center" valign="top">0.233</td>
<td/>
<td align="center" valign="top">8.263</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Highly and moderately differentiated</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">4.11&#x00B1;0.36</td>
<td/>
<td/>
<td align="center" valign="top">1.28&#x00B1;0.32</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Poorly differentiated</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">4.23&#x00B1;0.51</td>
<td/>
<td/>
<td align="center" valign="top">0.75&#x00B1;0.19</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node metastasis</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;1.704</td>
<td align="center" valign="top">0.093</td>
<td/>
<td align="center" valign="top">1.554</td>
<td align="center" valign="top">0.125</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">4.26&#x00B1;0.37</td>
<td/>
<td/>
<td align="center" valign="top">1.04&#x00B1;0.22</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">4.08&#x00B1;0.55</td>
<td/>
<td/>
<td align="center" valign="top">1.13&#x00B1;0.28</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Diameter of the tumor (cm)</td>
<td/>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.491</td>
<td align="center" valign="top">0.625</td>
<td/>
<td align="center" valign="top">1.477</td>
<td align="center" valign="top">0.144</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;5</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">4.14&#x00B1;0.46</td>
<td/>
<td/>
<td align="center" valign="top">1.17&#x00B1;0.36</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;5</td>
<td align="center" valign="top">31</td>
<td align="center" valign="top">4.19&#x00B1;0.40</td>
<td/>
<td/>
<td align="center" valign="top">1.05&#x00B1;0.33</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-0-0-9958"><p>NSCLC, non-small cell lung cancer; SD, standard deviation.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-ol-0-0-9958" position="float">
<label>Table IV.</label>
<caption><p>Diagnostic value of the relative expression levels of serum miR-197, miR-145, and their combination in NSCLC.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Indicator for diagnosis</th>
<th align="center" valign="bottom">AUC</th>
<th align="center" valign="bottom">95&#x0025; CI</th>
<th align="center" valign="bottom">SD</th>
<th align="center" valign="bottom">Cut-off value</th>
<th align="center" valign="bottom">Sensitivity (&#x0025;)</th>
<th align="center" valign="bottom">Specificity (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">miR-197</td>
<td align="center" valign="top">0.864</td>
<td align="center" valign="top">0.804&#x2013;0.924</td>
<td align="center" valign="top">0.031</td>
<td align="center" valign="top">3.260</td>
<td align="center" valign="top">73.68</td>
<td align="center" valign="top">85.00</td>
</tr>
<tr>
<td align="left" valign="top">miR-145</td>
<td align="center" valign="top">0.879</td>
<td align="center" valign="top">0.824&#x2013;0.934</td>
<td align="center" valign="top">0.028</td>
<td align="center" valign="top">1.098</td>
<td align="center" valign="top">84.21</td>
<td align="center" valign="top">71.67</td>
</tr>
<tr>
<td align="left" valign="top">miR-197 &#x002B; miR-145</td>
<td align="center" valign="top">0.952</td>
<td align="center" valign="top">0.919&#x2013;0.984</td>
<td align="center" valign="top">0.017</td>
<td align="center" valign="top">0.303</td>
<td align="center" valign="top">92.10</td>
<td align="center" valign="top">78.33</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-ol-0-0-9958"><p>NSCLC, non-small cell lung cancer; SD, standard deviation.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
