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      Downregulation of hsa-microRNA-204-5p and identification of its potential regulatory network in non-small cell lung cancer: RT-qPCR, bioinformatic- and meta-analyses

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          Abstract

          Background

          Pulmonary malignant neoplasms have a high worldwide morbidity and mortality, so the study of these malignancies using microRNAs (miRNAs) has attracted great interest and enthusiasm. The aim of this study was to determine the clinical effect of hsa-microRNA-204-5p (miR-204-5p) and its underlying molecular mechanisms in non-small cell lung cancer (NSCLC).

          Methods

          Expression of miR-204-5p was investigated by real-time quantitative PCR (RT-qPCR). After data mining from public online repositories, several integrative assessment methods, including receiver operating characteristic (ROC) curves, hazard ratios (HR) with 95% confidence intervals (95% CI), and comprehensive meta-analyses, were conducted to explore the expression and clinical utility of miR-204-5p. The potential objects regulated and controlled by miR-204-5p in the course of NSCLC were identified by estimated target prediction and analysis. The regulatory network of miR-204-5p, with its target genes and transcription factors (TFs), was structured from database evidence and literature references.

          Results

          The expression of miR-204-5p was downregulated in NSCLC, and the downtrend was related to gender, histological type, vascular invasion, tumor size, clinicopathologic grade and lymph node metastasis (P<0.05). MiR-204-5p was useful in prognosis, but was deemed unsuitable at present as an auxiliary diagnostic or prognostic risk factor for NSCLC due to the lack of statistical significance in meta-analyses and absence of large-scale investigations. Gene enrichment and annotation analyses identified miR-204-5p candidate targets that took part in various genetic activities and biological functions. The predicted TFs, like MAX, MYC, and RUNX1, interfered in regulatory networks involving miR-204-5p and its predicted hub genes, though a modulatory loop or axis of the miRNA-TF-gene that was out of range with shortage in database prediction, experimental proof and literature confirmation.

          Conclusions

          The frequently observed decrease in miR-204-5p was helpful for NSCLC diagnosis. The estimated target genes and TFs contributed to the anti-oncogene effects of miR-204-5p.

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          Most cited references97

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          The effects of clinical and statistical heterogeneity on the predictive values of results from meta-analyses.

          Variance between studies in a meta-analysis will exist. This heterogeneity may be of clinical, methodological or statistical origin. The last of these is quantified by the I(2) -statistic. We investigated, using simulated studies, the accuracy of I(2) in the assessment of heterogeneity and the effects of heterogeneity on the predictive value of meta-analyses. The relevance of quantifying I(2) was determined according to the likely presence of heterogeneity between studies (low, high, or unknown) and the calculated I(2) (low or high). The findings were illustrated by published meta-analyses of selective digestive decontamination and weaning protocols. As expected, I(2) increases and the likelihood of drawing correct inferences from a meta-analysis decreases with increasing heterogeneity. With low levels of heterogeneity, I(2) does not appear to be predictive of the accuracy of the meta-analysis result. With high levels of heterogeneity, even meta-analyses with low I(2) -values have low predictive values. Most commonly, the level of heterogeneity in a meta-analysis will be unknown. In these scenarios, I(2) determination may help to identify estimates with low predictive values (high I(2) ). In this situation, the results of a meta-analysis will be unreliable. With low I(2) -values and unknown levels of heterogeneity, predictive values of pooled estimates may range extensively, and findings should be interpreted with caution. In conclusion, quantifying statistical heterogeneity through I(2) -statistics is only helpful when the amount of clinical heterogeneity is unknown and I(2) is high. Objective methods to quantify the levels of clinical and methodological heterogeneity are urgently needed to allow reliable determination of the accuracy of meta-analyses.
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            MicroRNA in lung cancer: role, mechanisms, pathways and therapeutic relevance

            Lung cancer is the cardinal cause of cancer-related deaths with restricted recourse of therapy throughout the world. Clinical success of therapies is not very promising due to - late diagnosis, limited therapeutic tools, relapse and the development of drug resistance. Recently, small ∼20-24 nucleotides molecules called microRNAs (miRNAs) have come into the limelight as they play outstanding role in the process of tumorigenesis by regulating cell cycle, metastasis, angiogenesis, metabolism and apoptosis. miRNAs essentially regulate gene expression via post-transcriptional regulation of mRNA. Nevertheless, few studies have conceded the role of miRNAs in activation of gene expression. A large body of data generated by numerous studies is suggestive of their tumor-suppressing, oncogenic, diagnostic and prognostic biomarker roles in lung cancer. They have also been implicated in regulating cancer cell metabolism and resistance or sensitivity towards chemotherapy and radiotherapy. Further, miRNAs have also been convoluted in regulation of immune checkpoints - Programmed death 1 (PD-1) and its ligand (PD-L1). These molecules play a significant role in tumor immune escape leading to the generation of a microenvironment favouring tumor growth and progression. Therefore, it is imperative to explore the expression of miRNA and understand its relevance in lung cancer and development of anti-cancer strategies (anti - miRs, miR mimics and micro RNA sponges). In view of the above, the role of miRNA in lung cancer has been dissected and the associated mechanisms and pathways are discussed in this review.
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              Role for miR-204 in human pulmonary arterial hypertension

              Pulmonary arterial hypertension (PAH) is a vascular disease that is largely restricted to small pulmonary arteries (PAs). PAH occurs in rare idiopathic and familial forms, but is more commonly part of a syndrome associated with connective tissue diseases, anorexigen use, HIV, or congenital heart disease. Many abnormalities contribute to this syndrome of obstructed, constricted small PAs. This includes abnormalities in the blood content of some neurotransmitters and cytokines, namely increases in serotonin, IL-6, platelet-derived growth factor (PDGF), and endothelin (Stewart et al., 1991; Christman et al., 1992; Steudel et al., 1997; Perros et al., 2008). The media is also characterized by an increased activation of the nuclear factor of activated T cells (NFAT), leading to increased [Ca2+]i-mediated PA smooth muscle cell (PASMC) proliferation and decreased mitochondrial-dependent apoptosis (Bonnet et al., 2006, 2007b). Finally, the adventitia is infiltrated with inflammatory cells and exhibits metalloprotease activation (Humbert et al., 2004). Despite recent therapeutic advances such as endothelin-1 receptor blockers (e.g., Bosentan; Dupuis and Hoeper, 2008), type 5 phosphodiesterase inhibitors (e.g., sildenafil; Li et al., 2007), or PDGF receptor blockers (e.g., imatinib; Ghofrani et al., 2005), mortality rates remain high (Archer and Rich, 2000). Moreover, the fact that the PAH phenotype is preserved in cultured PASMCs isolated from PAH patients suggests that the PAH phenotype is sustained independently of the circulating growth factors or agonists but requires genetic remodeling processes (Yildiz, 2009; Dumas de la Roque et al., 2010). Over the past 10 yr, genetic research on PAH has led to the discovery of mutations in the BMPR2 (bone morphogenetic receptor-2) gene in at least 50% of familial PAH patients, and its down-regulation is recognized as a hallmark of PAH (Tada et al., 2007; Zakrzewicz et al., 2007). Recently, BMPR2 down-regulation in human PASMCs has been linked to the activation of both the tyrosine kinase Src (Wong et al., 2005) and a STAT3/miR-17-92 microRNA (miRNA) secondary to IL-6 exposure, suggesting the implication of miRNAs in the etiology of PAH (Brock et al., 2009). miRNAs are small noncoding RNAs (21–23 nt) that are now known to be important regulators of gene expression. They form imperfect RNA–RNA duplexes and use their seed region to interact with messenger RNAs (mRNAs), mainly in the 3′ untranslated region (UTR; Khan et al., 2009). This interaction leads to a negative posttranscriptional regulation of the relevant mRNAs. Recently, misexpression of miRNAs has been implicated in many cardiovascular diseases, including pulmonary hypertension (Latronico and Condorelli, 2009; Mishra et al., 2009; Zhang, 2009; Caruso et al., 2010), but their molecular role in these pathologies has not been uncovered yet. RESULTS miR-204 is aberrantly expressed in human PAH-PASMCs To determine whether miRNAs are aberrantly expressed in human PAH, PASMCs were isolated from distal PAs of two nonfamilial PAH patients (two idiopathic PAH [iPAH] patients A and B; based on the World Health Organization [WHO] classification) and two control patients (A and B) and cultured as previously described (passage 3 and less; McMurtry et al., 2005). The expression of 377 different miRNAs was measured. Seven miRNAs were aberrantly expressed in PAH-PASMCs compared with control PASMCs (miR-204, -450a, -145, -302b, -27b, -367, and -138; Fig. S1 A). Among them, only the miR-204 level was down-regulated (Fig. S1 A). miR-204 down-regulation between control versus PAH was confirmed by quantitative RT-PCR (qRT-PCR) in PASMCs isolated from three PAH (all from group 1 based on WHO classification patients A–C) compared with control PASMCs isolated from five control patients (A–E). Note that no significant differences in miR-204 expression was found among the control patients and the PAH patients (Fig. S1 B). Therefore, for the rest of the study, all five control PASMC and the three PAH-PASMC cell lines were used for every cell-based experiment. Interestingly, in retinal epithelial cells and several cancer cells, miR-204 down-regulation has been associated with enhanced cell proliferation and membrane potential depolarization (Lee et al., 2010; Wang et al., 2010), which are both aspects also seen in PAH-PASMCs (Bonnet et al., 2006, 2007b). We recently showed in several cancer cells and PAH-PASMCs (Bonnet et al., 2007a,b) that this pro-proliferative phenotype was associated in part with the activation of the Src–STAT3 (accounting for BMPR2 down-regulation; Wong et al., 2005) and NFAT pathways (Bonnet et al., 2007b). This suggests a putative link between miR-204 down-regulation, NFAT activation, and cell proliferation. Thus, miR-204 is likely implicated in PAH, and a role in the sustainability of the PAH-PASMC pro-proliferative and antiapoptotic phenotype is possible. Therefore, the current study will be focused on the role of miR-204 in the etiology of PAH. Interestingly, using in silico and microarray gene expression analyses, we observed that among the 461 predicted targets of miR-204 (TargetScan 5.1), only 165 were increased by artificial miR-204 inhibition in control human PASMCs (n = 2 patients; Fig. S1 C). In accordance with the pro-proliferative and antiapoptotic phenotypes seen in PAH, several Src–STAT3- and NFAT-related genes were identified (Fig. S1 C). miR-204 expression is decreased in human PAH and correlates with PAH severity To investigate the expression pattern of miR-204 in normal and pulmonary hypertensive lungs, we examined miR-204 expression levels in (a) lung biopsies from 8 individuals with nonfamilial PAH compared with biopsies from 8 individuals without pulmonary hypertension, (b) lungs from 6 mice with hypoxia-induced pulmonary hypertension compared with 5 control littermates, and (c) lungs from 5 rats with monocrotaline (MCT)-induced pulmonary hypertension compared with 10 control littermates (Fig. 1 A). We found decreased levels of miR-204 in human and rodent pulmonary hypertensive lung tissues compared with normotensive lung samples. To characterize whether down-regulated miR-204 levels were specific to the lung in rats with pulmonary hypertension, we compared organ-specific levels of miR-204 between normal and pulmonary hypertensive rats (Fig. 1 B). Even if we were able to detect minimal amounts of miR-204 in most organs, miR-204 levels were only down-regulated in the lung and PAs but not in the aorta, liver, heart, and kidney in rats 3 wk after MCT injection (pulmonary hypertensive rats) compared with non–pulmonary hypertensive rats (Fig. 1 B). Figure 1. Correlation between miR-204 expression and PAH severity. (A) miR-204 is decreased in human, mouse, and rat PAH lungs. qRT-PCR analysis of miR-204 expression in human lungs with PAH (n = 8), mouse lungs with hypoxia-induced pulmonary hypertension (n = 6), and rat lungs with MCT-induced pulmonary hypertension (n = 5) compared with human (n = 8), mouse (n = 10) and rat (n = 5) control (Ctrl) lungs. (B) miR-204 is mainly expressed in the distal PAs. qRT-PCR analysis of miR-204 expression in several rat organs with MCT-induced pulmonary hypertension (n = 5) compared with control rats (n = 5). (C) miR-204 down-regulation correlates with PAH severity. qRT-PCR analysis of miR-204 expression in the lungs from healthy subjects (n = 8) and from patients with varying severity of PAH (n = 3), in mouse lungs with varying severity of hypoxia-induced pulmonary hypertension (n = 3), and in rat lungs with varying severity of MCT-induced pulmonary hypertension (n = 3) compared with control animals (n = 5 for both rats and mice; n = 3 experiments per patient or per animal for each pulmonary vascular resistance [PVR] or mean pulmonary arterial pressure [PAP] listed, and significance is compared with control group). In all experiments, the level of miR-204 is relative to the control RNA U6. Data are expressed as means ± SEM (*, P 25 mmHg). Age- and sex-matched control PASMCs (three males A, B, and C 45, 21, and 64 yr old; and two females D and E 17 and 35 yr old), and PAECs were purchased from Cell Application USA. PASMCs were grown in high-glucose DME supplemented with 10% FBS (Invitrogen) and 1% antibiotic/antimitotic (Invitrogen; Bonnet et al., 2007a). STAT3 and SHP2 were inhibited by a specific siRNA (20 nM for 48 h; Applied Biosystems) as previously described (Bonnet et al., 2007a). NFAT was inhibited by 4 µM VIVIT as previously described (Bonnet et al., 2007b). Control PASMCs were exposed to 30 ng/ml PDGF, 10 nM endothelin-1, 200 nM angiotensin II, or 100 ng/ml TNF (all from EMB Canada). The Src inhibitor PP2 effects were compared with its negative control inhibitor PP3 (4-amino-7-phenylpyrazol [3,4-d] pyrimidine; 10 µM for 48 h). The Ca phosphate transfection method was used to transfect miRIDAN miR-204 mimics (200 nM for 48 h) or miR-204 antagomir (hairpin inhibitor at 200 nM for 48 h). For each experiment, we used a proper control (mimics or hairpin inhibitor negative control #1 from Thermo Fisher Scientific). Dose response, transfection efficiency, and siRNA efficiencies are presented in Fig. S8 C. TaqMan low density arrays (TLDAs). TLDA was performed in four patients, two for each condition, and according to the manufacturer’s protocol (Applied Biosystems). Each sample was analyzed in duplicate. Raw CTs were then normalized using two different normalization procedures, one normalizing relative to U6 small nuclear RNA and the other one relative to the median CT. An empirical Bayesian method within the package limma in Bioconductor was used to identify the significantly modulated miRNAs. miRNAs were required to be significantly modulated for both normalizations. TLDA data have been deposited in GEO DataSets under accession no. GSE21284. DNA microarrays. DNA microarray experiments were performed using the Whole Human Genome microarray kit (Agilent Technologies). The arrays were scanned using a dual-laser DNA microarray scanner (Agilent Technologies), and the data were extracted from images using the Feature Extraction software. For the control versus PAH patient comparison, RNAs extracted from two control patients were hybridized on Cy3, and RNAs extracted from two PAH patients were hybridized on Cy5. For the miR-204 inhibition experiment, RNAs extracted from control PASMCs treated for 48 h with 200 nM miR-204 antagomir (Thermo Fisher Scientific) were hybridized with Cy3, whereas PASMCs treated with antagomir negative were hybridized on Cy5. Data were background subtracted and normalized within the array using the LOESS normalization before significant modulation assessment using the Empirical Bayes method within limma in Bioconductor. Genes listed as targets of miR-204 in TargetScan 5.1 and having a level of expression ≥100 in log2 base and being up-regulated after miR-204 inhibition were considered as miR-204 targets in our model. Microarray data have been deposited in GEO DataSets and are available under accession no. GSE21284. qRT-PCR. To measure miR-204 expression, the mirVana kit (Applied Biosystems) was used to extract total RNA from PAH-PASMCs or control PASMCs. Stem-loop qRT-PCR for mature miRNAs was performed on a real-time PCR system (AB 7900; Applied Biosystems). Regular qRT-PCR was performed as previously described (Bonnet et al., 2007b). ChIP-PCR. In brief, control PASMC asynchronously growing cells were treated with endothelin at 10 nM. Cross-links were generated with 1% formaldehyde, and chromatin was extracted in lysis buffer (50 mM Tris-HCl, pH 8, 10 mM EDTA, 0.2% SDS, and 5 mM Na-butyrate). Chromatin was then sheared by sonication (Bioruptor; Diagenode) on ice to a mean length of 750 bp. After preclearing with a mix of protein A/G–Sepharose beads (4°C for 1 h), 80 µg chromatin was used for immunoprecipitation with appropriate antibodies (10 ml p-Sat3 [Tyr705; 9131; Cell Signaling Technology] and 10 mg normal rabbit IgG [I-1000; Vector Laboratories]) in a total volume of 300 ml. After overnight incubation at 4°C, 25 µl of protein A Dynabeads (Invitrogen) was added and incubated for >1 h. Beads were extensively washed, and immunoprecipitated complexes were eluted in buffer E (50 mM Na bicarbonate and 1% SDS). Cross-links were reversed overnight at 65°C. Samples were treated with proteinase K, and the DNA was extracted using phenol-chloroform. Quantitative real-time PCR was performed using SYBR green I (LightCycler 480; Roche). Enrichment for a specific DNA sequence was calculated using the comparative Ct method. The numbers presented with standard errors are based on two biological repeats (cells/chromatin/immunoprecipitation). Primers used in the PCR reactions (Table S2) were analyzed for specificity, linearity range, and efficiency to accurately evaluate occupancy (percentage of immunoprecipitation/input). Vascular endothelial growth factor (VEGF) primers were used as positive control, whereas OR8J1 primers were used as negative control. Confocal microscopy. NFATc1 and -c2 and STAT3 nuclear translocation assays were performed using antibodies (1:250; Abcam) as previously described (Bonnet et al., 2007b). TMRM, TUNEL, PCNA, and Fluo-3 were measured as previously described (Bonnet et al., 2009; Bonnet et al., 2007b). Transfection and luciferase assay for different 3′ UTR constructions. The 3′ UTRs of each gene of interest were cloned and inserted in the psiCHECK2 plasmid immediately downstream from the stop codon of firefly luciferase. Once ready, cells were transfected with the reporter plasmid with 200 nM of unrelated small RNA duplex (mimic control; Invitrogen), miR-204 mimic (Thermo Fisher Scientific), miR-204 inhibitor (Thermo Fisher Scientific), or with Caenorhabditis elegans miR-67 inhibitor used as control (Thermo Fisher Scientific). Firefly and Renilla luciferase activities were measured consecutively using a dual-luciferase assay 48 h after transfection. The presence of an interaction between miR-204 and target mRNA would reduce the firefly luciferase activity (normalized to Renilla luciferase activity expressed from the psiCHECK2 plasmid). To abrogate miR-204 binding to the SHP2 3′ UTR, point mutations were made into the 3′ UTR sequence that corresponds to the miR-204 binding site in position 2, 4, and 6 from the 5′ end of miR-204, as illustrated in Fig. 4 B. In vivo model rats. Male rats were injected s.c. with a 60-mg/kg MCT solution (Todorovich-Hunter et al., 1988). PAH was assessed by hemodynamic measurements (using Swan-Gan catheters) and echocardiography (using Vevo 2100; VisualSonics), which were performed as previously described (Bonnet et al., 2007b). In vivo, rats with established PAH (measured by Echo-Doppler) were nebulized with miR-204 mimic (mature sequence, 3′-UUCCCUUUGUCAUCCUAUGCCU-5′) or mimic negative (20 µM once a week for 2 wk). Invivofectamine (Invitrogen) was used as transfected agent according to the manufacturer’s instructions. Transfection efficiency and tissue distribution were assessed by qRT-PCR. Tissue distribution was assessed using fluorescent distribution of the commercially available DY547-labeled mimic control (Thermo Fisher Scientific). Chronic hypoxic mice model. Mice were placed for 2–3 wk in normobaric hypoxic chambers maintained with 5.5–liter min−1 flow of hypoxic air (10% O2 and 90% N2). Chambers were opened twice a week for cleaning and replenishment of food and water. Oxygen concentration was continuously monitored with blood gas analyzers. Soda lime was used to lower carbon dioxide concentration. Statistical analysis. Values are expressed as fold change or mean ± SEM. Unpaired Student’s t tests were used for comparisons between two means. For comparisons between more than two means, we used one-way analysis of variance followed by a Dunn’s test. A p-value <0.05 was considered statistically significant (and indicated with asterisks). TLDA and microarray data were analyzed within R (http://www.r-project.org) using the limma package in Bioconductor. Online supplemental material. Fig. S1 shows seven miRNAs that are aberrantly expressed in human PAH-PASMCs compared with control PASMCs. Fig. S2 represents the measurements of miR-204 level in the pulmonary vasculature and buffy coat. Fig. S3 shows that miR-204 down-regulation in PAH-PASMCs promotes the activation of STAT3 and NFAT. Fig. S4 shows that the miR-204 effect is independent of TRPM3 expression. Fig. S5 shows that the miR-204 mimic molecule restores BMPR2 expression in PAH. Fig. S6 shows that a decrease of miR-204 level activates the Src–STAT3 axis and promotes NFAT expression. Fig. S7 shows that miR-204 mimic intratracheal nebulization restores miR-204 expression in distal PAs, which improves the PAAT and decreases right ventricle hypertrophy in the MCT rat model. Fig. S8 shows the validation of miR-204 mimic/antagomir transfection and siRNA effects on PASMCs. Table S1 lists patients providing tissue. Table S2 lists primers used for ChIP–real-time PCR. Online supplemental material is available at http://www.jem.org/cgi/content/full/jem.20101812/DC1.
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                Author and article information

                Contributors
                779588788@qq.com
                li_zuyun_gxmu@163.com
                gantingqing_gxmu@163.com
                fangyeying2010@163.com
                853971954@qq.com
                24731955@qq.com
                dangyiwu@126.com
                529057611@qq.com
                fengzhenbo_gxmu@163.com
                chengang@gxmu.edu.cn
                Journal
                Respir Res
                Respir. Res
                Respiratory Research
                BioMed Central (London )
                1465-9921
                1465-993X
                26 February 2020
                26 February 2020
                2020
                : 21
                : 60
                Affiliations
                [1 ]GRID grid.412594.f, Department of Pathology, , First Affiliated Hospital of Guangxi Medical University, ; Nanning, 530021 Guangxi Zhuang Autonomous Region People’s Republic of China
                [2 ]GRID grid.412594.f, Department of Medical Oncology, , Second Affiliated Hospital of Guangxi Medical University, ; Nanning, 530007 Guangxi Zhuang Autonomous Region People’s Republic of China
                [3 ]GRID grid.412594.f, Department of Radiotherapy, , First Affiliated Hospital of Guangxi Medical University, ; Nanning, 530021 Guangxi Zhuang Autonomous Region People’s Republic of China
                Article
                1274
                10.1186/s12931-020-1274-9
                7045575
                32102656
                8f5970ea-306d-46cb-8259-f7f11925d042
                © The Author(s). 2020

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 6 April 2019
                : 31 December 2019
                Funding
                Funded by: Fund of National Natural Science Foundation of China
                Award ID: NSFC81760420
                Award ID: NSFC 81560469
                Award Recipient :
                Funded by: Natural Science Foundation of Guangxi
                Award ID: 2017GXNSFAA198016
                Award Recipient :
                Funded by: Natural Science Foundation of Guangxi
                Award ID: 2016GXNSFAA380255
                Award Recipient :
                Funded by: Guangxi Degree and Postgraduate Education Reform and Development Research Projects
                Award ID: JGY2019050
                Award Recipient :
                Funded by: Guangxi Medical University Training Program for Distinguished Young Scholars
                Funded by: Medical Excellence Award Funded by the Creative Research Development Grant from the First Affiliated Hospital of Guangxi Medical University
                Funded by: Guangxi Zhuang Autonomous Region Health and Family Planning Commission Self-financed Scientific Research Project
                Award ID: Z20180979
                Award Recipient :
                Categories
                Research
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                © The Author(s) 2020

                Respiratory medicine
                mirna-204-5p,nsclc,real time -qpcr,microrna microarray,microrna-sequencing,molecular mechanisms

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