缺氧诱导因子-1在非小细胞肺癌胸水中的表达及其与肿瘤血管生成的关系

目的探讨缺氧诱导因子-1(hypoxia inducible factor-1,HIF-1)在非小细胞肺癌胸水细胞中的表达及其与肿瘤血管生成的关系。方法利用免疫组织化学、免疫细胞化学分别检测1180例非小细胞肺癌标本中HIF-1α和HIF-1β蛋白的表达以及非小细胞肺癌胸水细胞中血管生成标记物CD34和VEGF的表达情况,其中包括1060例非小细胞肺癌胸水标本以及用于对照的120例肺穿刺非小细胞肺癌组织标本。结果 HIF-1α在非小细胞肺癌穿刺组织中的表达率72.50%(87/120)明显高于非小细胞肺癌胸水中表达率17.55%(186/1060),差异有统计学意义(P0.05);HIF-1β在非小细胞肺癌穿刺组织中的表达率为77.50%(93/120),而在非小细胞肺癌胸水中表达率为81.42%(863/1060),差异无统计学意义(P0.05);CD34、VEGF在非小细胞肺癌胸水细胞中阳性表达率分别为77.92%(826/1060)、82.92%(879/1060)。HIF-1α与HIF-1β的表达呈显著正相关(r=0.093,P=0.002),HIF-1α与VEGF的表达呈显著正相关(r=104,P=0.001),HIF-1β与VEGF的表达无相关性(P0.05)。结论 HIF-1α在非小细胞肺癌穿刺组织与非小细胞肺癌胸水中的差异性表达,可能与非小细胞肺癌胸水细胞缺氧适应性调节有关,HIF-1与肿瘤血管生成密切相关。     

非小细胞肺癌组织中PTEN基因与Ki67的表达及意义

目的:探讨第10染色体同源丢失性磷酸酶-张力蛋白酶基因(PTEN)、Ki67在非小细胞肺癌组织中的表达及其相关性.方法:用免疫组化方法检测67例非小细胞肺癌组织以及41例癌旁正常肺组织中PTEN基因、Ki67蛋白的表达,并分析其与各临床病理指标及细胞增殖之间的相关性.结果:PTEN基因在67.16％(45/67)的非小细胞肺癌中阳性表达率为32.84％(22/67),而在正常肺组织中阳性表达率为82.97％,显著高于非小细胞癌组织.PTEN基因的表达与组织类型、细胞分化程度、淋巴结转移密切相关(分别为X2=5.44,P=0.019;X2=4.740,P=0.029;X2=4.51,P=0.034),在鳞癌和低分化癌中PTEN基因失表达率或表达减少率较高.肺癌中Ki67的过度表达与肺癌的临床分期、淋巴结转移相关(X2=6.90,P=0.009; X2=5.68,P=0.017),PTEN蛋白阳性表达与Ki67负相关(r=-0.239,P＜0.05).细胞增殖指数越高,PTEN基因表达越少,二者呈负相关(r=-0.252,P＜0.05).结论:PTEN蛋白表达的缺失与非小细胞肺癌的恶性侵袭有关.联合检测PTEN与Ki67的表达可有助于判断非小细胞肺癌的预后.     

Livin蛋白在非小细胞肺癌中的表达及其临床意义

目的：研究livin蛋白在非小细胞肺癌中的表达及其与非小细胞肺癌的生物学特性及临床预后的关系。方法：通过免疫组化的方法检测和比较88例非小细胞肺癌组织和20例癌旁正常肺组织中livin蛋白的表达,并分析其与非小细胞肺癌的临床病理特征和预后的相关性。结果：非小细胞肺癌组织及癌旁正常肺组织中livin蛋白的阳性表达率分别为54．55％和5％,差异有显著统计学差异（P〈0．05）。非小细胞肺癌组织中livin蛋白的表达水平与淋巴结转移、TNM分期显著相关（P〈O．05）,但与患者的性别、年龄、分化程度及病理学类型无关（P〉0．05）。Livin高表达的非小细胞肺癌患者生存时间显著短于livin低表达的患者（P〈0．05）。结论：Livin蛋白在非小细胞肺癌的发生及发展中起重要作用并与患者的预后相关,可能作为非小细胞肺癌新的防治靶点。     

阿帕替尼调节VEGF/MAPK/NF-kB信号通路抑制大鼠非小细胞肺癌的机制

[目的]探讨阿帕替尼调节VEGF/MAPK/NF-kB抑制大鼠非小细胞肺癌的机制。[方法]制备人肺腺癌A549细胞悬液经背部穿刺构建大鼠非小细胞肺癌模型,给予大鼠50 mg/kg阿帕替尼连续灌胃14 d。观察非小细胞肺癌大鼠的自主活动次数、肿瘤体积、体质量以及肺组织病理改变;采用免疫组织化学法检测大鼠肺组织中VEGFR-2蛋白的表达;采用Western Blot法检测甲状腺癌癌组织中VEGF、p-p38、p-MAPK、NF-kB、Bcl-2和Bax蛋白的表达。[结果]与模型组对比,治疗组瘤体质量下降,肿瘤抑制率升高明显(P<0.05)。治疗组及模型组的肺癌细胞表现出岛状生长,细胞的轮廓不清晰甚至消失,且大小不一,密集生长,形态差异大,间质出现大量的散状浸润的中性粒细胞;治疗组的癌细胞表现为核染色质边集、皱缩,发生程度不同的片状坏死区。癌组织中的VEGFR-2蛋白平均光密度水平下降明显(P<0.05)。和模型组对比,治疗组的VEGF、p-p38、p-MAPK、NF-kB和Bax蛋白表达明显升高,Bcl-2含量显著降低(P<0.05)。[结论]阿帕替尼可通过调节VEGF/MAPK/NF-kB信号通路抑制大鼠非小细胞肺癌,抑制肿瘤组织内新生血管的形成,并促进癌细胞的凋亡。     

磁共振成像对非小细胞肺癌的诊断价值分析

目的:探讨磁共振成像(Magnetic resonance imaging,MRI)对非小细胞肺癌的诊断价值。方法:选择2016年9月-2019年4月南京医科大学附属脑科医院(胸科院区)放射科收治的肺部结节患者74例,包括病理证实为肺部良性病变54例(良性组)和非小细胞肺癌20例(肺癌组)。所有患者都给予常规MRI、增强MRI与磁共振扩散加权成像(Diffusion weighted imaging,DWI),记录影像学特征并评估其诊断价值。结果:肺癌组的病灶形态、边缘等MRI特征与良性组对比差异无统计学意义(P0.05)。在b值=0、600、800、1000 s/mm~2条件下,肺癌组的病灶表观扩散系数(Apparent diffusion coefficient,ADC)值都显著低于良性组(P0.05)。肺癌组的病灶MRI增强Ⅰ型+Ⅱ型比例显著高于良性组(P0.05)。MRI鉴别诊断非小细胞肺癌的敏感性与特异性为98.1%和94.4%。结论:MRI用于非小细胞肺癌的诊断能反映病灶组织的血流动力学与水分子活动状况,具有较高的诊断敏感性与特异性。     

非小细胞肺癌R A SsF IA 基因甲基化及下游基因表达

目的：研究非小细胞肺癌RASSF1A基因启动子甲基化及下游基因表达情况。方法：留取58例非小细胞肺癌患者手术标本及正常肺组织,甲基化特异性PCR分析RASSF1A基因启动子甲基化情况,同时Northern blot分析SM22、SPARC、SDHB和CC-ND3等4种RASSFIA下游基因的表达情况。结果：58例非小细胞肺癌中RASSFIA基因启动子甲基化阳性率为34．5％,甲基化与各临床参数之间无显著相关性,SM22和SPARC在RASSF1A甲基化组表迭明显下调。结论：原发性非小细胞肺癌中存在着较高比例的RASSF1A启动子过度甲基化,并与下游基因SM22和SPARC的表达下调密切相关。提示RASSF1A在非小细胞肺癌的发生中起着多种作用。     

Livin 蛋白在非小细胞肺癌中的表达及其临床意义

目的：研究livin 蛋白在非小细胞肺癌中的表达及其与非小细胞肺癌的生物学特性及临床预后的关系。方法：通过免疫组化 的方法检测和比较88 例非小细胞肺癌组织和20例癌旁正常肺组织中livin 蛋白的表达,并分析其与非小细胞肺癌的临床病理特 征和预后的相关性。结果：非小细胞肺癌组织及癌旁正常肺组织中livin 蛋白的阳性表达率分别为54.55%和5%,差异有显著统计 学差异(P<0.05)。非小细胞肺癌组织中livin 蛋白的表达水平与淋巴结转移、TNM分期显著相关(P<0.05),但与患者的性别、年龄、 分化程度及病理学类型无关(P>0.05)。Livin 高表达的非小细胞肺癌患者生存时间显著短于livin 低表达的患者(P<0.05)。结论： Livin 蛋白在非小细胞肺癌的发生及发展中起重要作用并与患者的预后相关,可能作为非小细胞肺癌新的防治靶点。     

miR-204通过抑制OGT的表达调控非小细胞肺癌细胞的增殖和迁移

目的:探究miR-204和O-连接N-乙酰氨基葡萄糖转移酶(O link N-acetylglucosamine transferase,OGT)对非小细胞肺癌(Non-small cell lung cancer,NSCLC)细胞增殖和转移的影响,并深入分析其可能机制。方法:采用Oncomine及KM-Ploter数据库分析OGT在肺癌组织中的表达及与肺癌患者预后的关系;采用慢病毒转染人非小细胞肺癌A549及永生化人肺支气管上皮细胞BEAS-2B,分别构建OGT稳定下调和过表达的细胞系,利用CCK-8、平板克隆和裸鼠皮下成瘤实验检测细胞增殖的情况,划痕实验、Transwell实验和裸鼠尾静脉注射肺转移模型检测细胞转移的情况。利用数据库分析可能参与OGT调控的microRNA,并用双荧光素酶报告基因验证。利用TCGA数据库分析miR-204在肺癌中的表达情况,并在30例肺癌组织及其对应癌旁组织中分析miR-204与OGT之间的相关性。结果:OGT在肺癌组织中呈高表达,且与患者的不良预后相关(HR=1.22,P 0.01);OGT的表达上调肺癌细胞的增殖和转移;miR-204可以负向调控OGT的表达,且miR-204在肺癌组织中表达水平显著低于癌旁组织,在肺癌组织中miR-204的水平与OGT的表达水平呈负相关(R~2=-0.4729,P 0.01)。结论:在非小细胞肺癌中,miR-204的降低通过上调OGT的表达促进肺癌的增殖和转移。     

SPP1在头颈部鳞状细胞癌的免疫浸润及临床相关性分析

探讨分泌型磷蛋白1 (Secreted Phosphoprotein 1,SPP1)在头颈部鳞状细胞癌(Head and neck squamous cell carcinoma, HNSC)中与免疫浸润及临床的相关性,明确SPP1在HNSC预后和个体化治疗中的潜在价值。使用癌症基因组图谱(The Cancer Genome Atlas,TCGA)HNSC数据分析SPP1表达。使用来自TCGA的临床生存数据评估SPP1的临床预后价值。使用R语言的clusterProfiler 包进行SPP1相关的富集分析。使用R语言的CIBERSORT函数评估22种肿瘤浸润免疫细胞在HNSC中的浸润情况,分析肿瘤浸润免疫细胞与SPP1表达之间的关联。差异表达分析发现SPP1在HNSC中高表达(P<0.001),临床相关性分析发现SPP1表达与T分期(P=0.001)、临床分期(P=0.013)相关,SPP1高表达患者的总生存期明显短于低表达患者(P=0.020 4)。基因富集分析发现SPP1在HNSC中与免疫学功能及免疫相关通路有关联。肿瘤浸润免疫细胞分析发现在高SPP1表达组中,M2巨噬细胞(P=0.001 1)、未活化树突状细胞(P=0.005 5)、活化肥大细胞(P=0.048 8)浸润比例增加,而活化记忆性CD4+ T淋巴细胞(P<0.001)、浆细胞(P=0.026 6)、未活化肥大细胞(P=0.038 6)浸润比例减少。研究表明 SPP1在HNSC中充当致癌基因,并与患者的临床结果相关,SPP1在肿瘤免疫微环境中起重要作用,可能成为HNSC中有价值的预后生物标志物及免疫治疗生物靶标。     

内吞适配蛋白Epsin在非小细胞肺癌发生中的作用研究

目的:探讨内吞适配蛋白Epsin在非小细胞肺癌发生中的潜在作用。方法:选择体外培养的人非小细胞肺癌细胞(A549),筛选Epsin 1和Epsin 2 shRNA干扰效率达标的细胞。将裸鼠随机分为3组,每组10只,第1、2组裸鼠分别经胸腔植入人非小细胞肺癌细胞(A549)及epsin表达敲减的A549细胞,第3组注射等量的生理盐水,比较1、2组小鼠肿瘤体积的变化。8周后,处死所有裸鼠,留取肺组织及肿瘤组织,通过免疫荧光染色检测非肿瘤(正常)肺和致瘤性肺组织中的epsin 1和2的蛋白质水平。用实时定量PCR(qRT-PCR)来研究epsin 1和2的基因表达水平。结果:肺肿瘤组织epsin1和2的m RNA和蛋白表达均显著高于正常肺组织中(P0.05)。种植epsin表达敲减的A549细胞裸鼠肿瘤生长速度及体积均大于种植正常A549细胞的裸鼠肿瘤。结论:Epsins表达上调可能促进非小细胞肺癌肿瘤的发生发展,而敲减epsins的表达可能为未来的非小细胞肺癌的治疗提供新的治疗靶点。     

Application of radiography of computed tomography in non-small cell lung cancer using prognosis model

ObjectiveStudying the diagnostic value of CT imaging in non-small cell lung cancer (NSCLC), and establishing a prognosis model combined with clinical characteristics is the objective, so as to provide a reference for the survival prediction of NSCLC patients.MethodCT scan data of NSCLC 200 patients were taken as the research object. Through image segmentation, the radiology features of CT images were extracted. The reliability and performance of the prognosis model based on the optimal feature number of specific algorithm and the prognosis model based on the global optimal feature number were compared.Results30-RELF-NB (30 optimal features, RELF feature selection algorithm and NB classifier) has the highest accuracy and AUC (area under the subject characteristic curve) in the prognosis model based on the optimal features of specific algorithm. Among the prognosis models based on global optimal features, 25-NB (25 global optimal features, naive Bayes classification algorithm classifier) has the highest accuracy and AUC. Compared with the prediction model based on feature training of specific feature selection algorithm, the overall performance and stability of the prediction model based on global optimal feature are higher.ConclusionThe prognosis model based on the global optimal feature established in this paper has good reliability and performance, and can be applied to the CT radiology of NSCLC.     

Immune infiltration patterns and identification of new diagnostic biomarkers GDF10, NCKAP5, and RTKN2 in non-small cell lung cancer

This study aimed to identify potential biomarkers for non-small cell lung cancer (NSCLC) and analyze the role of immune cell infiltration in NSCLC. R software was used to screen differentially expressed genes (DEGs) from NSCLC datasets obtained from the Gene Expression Omnibus (GEO) database, and functional correlation analysis was performed. The machine learning algorithms were used to screen the potential biomarkers of NSCLC. The diagnostic values were assessed through receiver operating characteristic (ROC) curves. The protein and mRNA expression levels of potential biomarkers were verified based on the Human Protein Atlas (HPA) database and qRT-PCR. CIBERSORT was used to evaluate the infiltration of immune cells in NSCLC tissues, and the correlation between potential biomarkers and infiltrated immune cell was analyzed. Finally, specific siRNAs were utilized to reduce the GDF10, NCKAP5, and RTKN2 expression in A549 and H1975 cells. The proliferation ability of A549 and H1975 cells was detected by MTT assay. A total of 848 upregulated DEGs and 1308 downregulated DEGs were identified. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that the DEGs were mainly related to cell division. Disease ontology (DO) enrichment analysis showed that the diseases with these DEGs were mainly lung diseases, including NSCLC. In addition,three potential biomarkers were identified: GDF10, NCKAP5, and RTKN2. Immune cell infiltration analysis showed that resting NK cells, activated dendritic cells, and Tregs may be involved in the pathogenesis of NSCLC. Meanwhile, GDF10, NCKAP5, and RTKN2 were negatively correlated with Tregs and naïve B cells but were positively correlated with activated dendritic cells and resting NK cells. Immunohistochemical staining showed that the expression of GDF10, NCKAP5, and RTKN2 in the lung tissue of patients with NSCLC was lower than that of normal lung tissue. qRT-PCR also confirmed that the mRNA expression of three biomarkers in NSCLC cell lines A549 and H1975 were significantly lower than those in human normal lung epithelial cells BEAS-2B. An MTT assay showed that GDF10, NCKAP5, and RTKN2 knockdown significantly promoted the proliferation of A549 and H1975 cells. The in vitro experiments showed that GDF10, NCKAP5, and RTKN2 played the inhibitory effects on NSCLC cell lines proliferation. Hence, GDF10, NCKAP5, and RTKN2 can be used as diagnostic biomarkers for NSCLC.     

肺腺癌诊断标志物筛选及免疫细胞浸润分析

用生物信息学方法筛选肺腺癌(Lung adenocarcinoma,LUAD)的诊断生物标志物,并分析肺腺癌中免疫细胞浸润情况。从GEO和TCGA数据库下载肺腺癌的表达数据集,利用R软件筛选肺腺癌与正常肺组织间的差异表达基因(DEGs),使用DAVID网站对DEGs进行GO及KEGG富集分析,使用STRING及Cytoscape等工具对DEGs构建蛋白相互作用网络并筛选hub基因;利用Kaplan-Meier法对DEGs进行生存分析,并对hub基因进行ROC分析筛选诊断生物标志物,利用GSEA预测有预后价值的基因参与的信号通路;并用Cibersort软件反卷积算法分析肺腺癌中免疫细胞浸润情况。共得到肺腺癌的234个DEGs,这些基因主要参与信号转导、物质代谢、免疫反应等相关信号通路;构建PPI网络筛选出的20个hub基因中8个存在预后价值(CCNA2、DLGAP5、HMMR、MMP1、MMP9、MMP13、SPP1、TOP2A),ROC分析中DLGAP5、SPP1值分别是0.703、0.706;DLGAP5、SPP1基因表达水平与肺腺癌组织浆细胞、未活化的CD4⁺记忆细胞、调节T细胞、巨噬细胞M0、M1、M2及中性粒细胞浸润密切相关(P＜0.05)。肺腺癌中DLGAP5、SPP1具有较高诊断价值且参与肺腺癌组织免疫细胞浸润;DLGAP5、SPP1基因可作为肺腺癌诊断的生物标志物,可为肺腺癌的靶向治疗研究提供新思路。     

Knockdown of LncRNAZFAS1 suppresses cell proliferation and metastasis in non-small cell lung cancer

ABSTRACT

To evaluate the effects of LncRNAZFAS1 on cell proliferation and tumor metastasis in non-small cell lung cancer (NSCLC), we detected the expression level of LncRNAZFAS1 in NSCLC-related tissues and cells. qRT-PCR results revealed that LncRNAZFAS1 in tumor tissues was significantly higher than that in normal lung tissue, especially significantly up-regulated in stage III / IV and in metastatic NSCLC tissues. LncRNAZFAS1 expression was dramatically up-regulated in 4 NSCLC-related cells (A549, SPC-A1, SK-MES-1, and NCI-H1299), with having the highest expression level in A549 cells. Furthermore, we implemented a knockdown of LncRNAZFAS1 in A549 cells, and the results of CCK8 and Transwell assays suggested that knockdown of LncRNAZFAS1 significantly inhibited NSCLC cell proliferation and metastasis. Next, we constructed a tumor xenograft model to evaluate the effect of LncRNAZFAS1 on the NSCLC cell proliferation in vivo. The results indicated that knockdown of LncRNAZFAS1 dramatically inhibited A549 cells proliferation and repressed tumor growth. Additionally, knockdown of LncRNAZFAS1 drastically weakened the expressions of MMP2, MMP9 and Bcl-2 proteins, whereas noticeably strengthened the expression of BAX protein. Our results altogether suggest that knockdown of LncRNAZFAS1 has a negative effect on the proliferation and metastasis of NSCLC cell, which implying LncRNAZFAS1 is a potential unfavorable biomarker in patients with NSCLC.     

Concomitant hypermethylation of multiple genes in non-small cell lung cancer (NSCLC)

Primary lung cancer remains the leading cause of cancer death worldwide. Promoter hypermethylation is a major inactivation mechanism of tumor-related genes, and increasingly appears to play an important role in carcinogenesis. In the present study, we used quantitative methylation-specific PCR (Q-MSP) assays to analyze promoter hypermethylation of nine genes in a large cohort of well-characterized non-small cell lung cancer (NSCLC) and explore their associations with the clinicopathological features of tumor. We found that there were significant differences in methylation levels for six of nine gene promoters between cancerous and noncancerous lung tissues. More importantly, with 100% diagnostic specificity, high sensitivity, ranging from 44.9% to 84.1%, was found for each of the nine genes. Interestingly, promoter hypermethylation of most genes was closely associated with histologic type, which was more frequent in squamous cell carcinomas (SCC) than in adenocarcinomas (ADC). In addition, highly frequent concomitant methylation of multiple genes was found in NSCLC, particularly in SCC. Our data showed that multiple genes were aberrantly methylated in lung tumorigenesis, and that they were closely associated with certain clinicopathological features of NSCLC, particularly of the histologic type, suggesting that these hypermethylated genes could be potential biomarkers in early detection of NSCLC in high-risk individuals, as well as in evaluating the prognosis of NSCLC patients.     

Multi-Omics Analysis Elucidates The Immune And Intratumor Microbes Characteristics Of Ubiquitination Subtypes In Lung Adenocarcinoma

Ubiquitination modification is closely related to cancer and participates in the regulation of tumor microenvironment. However, the role of ubiquitination modification in the immune response and prognosis of lung adenocarcinoma has not been elucidated. This study aims to establish a disease classification associated with ubiquitination and reveal the landscape of intratumor microbes in patients with lung adenocarcinoma for the first time. A total of 1314 patients with lung adenocarcinoma in the GEO and TCGA databases were included in our study. We constructed a ubiquitination scoring model using WGCNA and constructed ubiquitination subtypes using unsupervised clustering, analyzed the clinical characteristics, immune characteristics, and intratumor microbes characteristics, and screened out the relevant gene signatures, which were verified by RT-qPCR in human cancer cells. The results showed that the high ubiquitination subtype had poor prognosis, low degree of immune infiltration, high index of tumor stemness, and poor effect of immunotherapy. The subtypes with lower ubiquitination scores have better prognosis, higher tumor microenvironment score and better immunotherapy effect. The C2 subtype has high level of immune infiltration, lower intratumor microbes diversity and abundance, and good prognosis. The C3 subtype has low level of immune infiltration, higher intratumor microbes diversity and abundance, and poor prognosis. The C1 subtype has characteristics between C2 and C3. In summary, this paper constructs a scoring system and several subtypes based on ubiquitination genes, and analyzed the characteristics, which can help provide new methods for clinical treatment.     

Grain-sized moxibustion promotes NK cell antitumour immunity by inhibiting adrenergic signalling in non–small cell lung cancer

Lung cancer is the leading cause of cancer-related death worldwide, and non–small cell lung cancer (NSCLC) accounts for 85% of lung cancer diagnoses. As an ancient therapy, moxibustion has been used to treat cancer-related symptoms in clinical practice. However, its antitumour effect on NSCLC remains largely unexplored. In the present study, a Lewis lung cancer (LLC) xenograft tumour model was established, and grain-sized moxibustion (gMoxi) was performed at the acupoint of Zusanli (ST36). Flow cytometry and RNA sequencing (RNA-Seq) were used to access the immune cell phenotype, cytotoxicity and gene expression. PK136, propranolol and epinephrine were used for natural killer (NK) cell depletion, β-adrenoceptor blockade and activation, respectively. Results showed that gMoxi significantly inhibited LLC tumour growth. Moreover, gMoxi significantly increased the proportion, infiltration and activation of NK cells, whereas it did not affect CD4⁺ and CD8⁺ T cells. NK cell depletion reversed gMoxi-mediated tumour regression. LLC tumour RNA-Seq indicated that these effects might be related to the inhibition of adrenergic signalling. Surely, β-blocker propranolol clearly inhibited LLC tumour growth and promoted NK cells, and gMoxi no longer increased tumour regression and promoted NK cells after propranolol treatment. Epinephrine could inhibit NK cell activity, and gMoxi significantly inhibited tumour growth and promoted NK cells after epinephrine treatment. These results demonstrated that gMoxi could promote NK cell antitumour immunity by inhibiting adrenergic signalling, suggesting that gMoxi could be used as a promising therapeutic regimen for the treatment of NSCLC, and it had a great potential in NK cell–based cancer immunotherapy.     

LINC00184 plays an oncogenic role in non-small cell lung cancer via regulation of the miR-524-5p/HMGB2 axis

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer. We aimed to investigate the role of LINC00184 in NSCLC. Migration, proliferation and invasion of NSCLC cells were analysed using the wound healing assay, cell counting kit-8 assay and transwell assay, respectively. Apoptosis and cell cycle were assessed using flow cytometry. Online bioinformatics tools were utilized to predict downstream microRNAs (miRNA) or genes related to LINC00184 expression. The RNA pull-down experiment and luciferase reporter assay were performed to verify the predictions thereof. LINC00184, miR-524-5p, and high mobility group 2 protein (HMGB2) expression levels in NSCLC tissues and cell lines were detected using quantitative real-time polymerase chain reaction. An NSCLC mouse model was constructed for in vivo experiments. LINC00184 overexpression was observed in NSCLC tissues and cell lines and was found to be correlated with poor prognosis. LINC00184 knockdown inhibited cell proliferation, migration and invasion, induced cell cycle arrest and accelerated apoptosis in NSCLC cell lines. LINC00184 suppressed tumour growth and proliferation in NSCLC mouse models and directly targeted the miR-524-5p/HMGB2 axis. Moreover, the expression levels of LINC00184 and HMGB2 were negatively correlated with miR-524-5p expression, whereas LINC00184 expression was positively correlated with HMGB2 expression. LINC00184 affected the cell cycle, proliferation, apoptosis, migration and invasion in NSCLC via regulation of the miR-524-5p/HMGB2 axis.