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Featured researches published by Ting-qing Gan.


Medical Science Monitor | 2015

Downregulation of MiR-30a is Associated with Poor Prognosis in Lung Cancer

Rui-Xue Tang; Lu Liang; Dian-Zhong Luo; Zhenbo Feng; Qiuxia Huang; Rongquan He; Ting-qing Gan; Lihua Yang; Gang Chen

Background Recent reports have suggested that miR-30a plays a tumor-suppressive role in various cancers. However, miR-30a has not been completely studied in non-small lung cancer (NSCLC). Thus, the aim of the present study was to clarify the association between the expression of miR-30a and the clinicopathological features in NSCLC patients. Material/Methods Total RNA of miR-30a was extracted from 125 pairs of NSCLC patients (male 75, female 50) and their matching normal tissues. The miR-30a level was detected by using quantitative real-time polymerase chain reaction (qRT-PCR). Simultaneously, the 2−ΔCq method was used to calculate the correlation between miR-30a expression and the clinicopathological parameters and prognosis of NSCLC patients. Results MiR-30a expression was significantly down-regulated in NSCLC tissues (4.0696±2.4178) compared to their non-tumor lung tissues (7.4530±3.0561, P<0.001). Level of miR-30a was negatively correlated to tumor size (r=−0.197, P=0.028), lymphatic metastasis (r=−0.312, P<0.001), clinical TNM stage (r=−0.299, P=0.001), pathological grading (I/II vs. III, r=−0.224, P=0.001), and histological classification (r=−0.299, P=0.001). Survival time was 3.23±2.18 months in the low miR-30a expression group, remarkably shorter than that of the high expression group (20.72±11.63 months, P<0.001). Conclusions MiR-30a may be regarded as a tumor suppressor in NSCLC, and it could become a prognostic marker and potential therapeutic target for NSCLC.


Scientific Reports | 2017

Clinical Significance and Effect of lncRNA HOXA11-AS in NSCLC: A Study Based on Bioinformatics, In Vitro and in Vivo Verification

Yu Zhang; Wen-jie Chen; Ting-qing Gan; Xiuling Zhang; Zu-cheng Xie; Zhi-hua Ye; Yun Deng; Ze-feng Wang; Kai-teng Cai; Shikang Li; Dian-Zhong Luo; Gang Chen

HOXA11 antisense RNA (HOXA11-AS) has been shown to be involved in tumorigenesis and development of different cancers. However, the role of HOXA11-AS in non-small cell lung cancer (NSCLC) remains unclear. In this study, we firstly explored and confirmed the expression of HOXA11-AS in NSCLC tissues and cells. Cytometry, CCK-8, cell scratch, migration, Matrigel invasion and flow cytometry assays were performed to determine the biological impact of HOXA11-AS in vitro. Furthermore, a chick embryo chorioallantoic membrane (CAM) model of NSCLC was constructed to explore the effect of HOXA11-AS on tumorigenicity and angiogenesis in vivo. Additionally, bioinformatics analyses were performed to investigate the prospective pathways of HOXA11-AS co-expressed genes. As results, HOXA11-AS was markedly highly expressed in NSCLC tissues and cells. Furthermore, the proliferation, migration, invasion, tumorigenic and angiogenic ability of NSCLC cells were all inhibited and apoptosis was induced after HOXA11-AS knock-down. HOXA11-AS RNAi also led to cell cycle arrest on G0/G1 or G2/M phase. In addition, the non-small cell lung cancer pathway might be involved in regulating the co-expressed genes of HOXA11-AS in NSCLC. These results indicate that HOXA11-AS plays pivotal roles in NSCLC and it can become a novel therapeutic direction for treating NSCLC.


Experimental and Therapeutic Medicine | 2016

Downregulation of microRNA-132 indicates progression in hepatocellular carcinoma

Xin Zhang; Wei Tang; Ruishan Li; Rongquan He; Ting-qing Gan; Yihuan Luo; Gang Chen; Minhua Rong

Although miR-132 has been studied in various human tumors, few studies have investigated the role of miR-132 in hepatocellular carcinoma (HCC). The present study aimed to evaluate the associations between miR-132 and clinicopathological parameters, including recurrence, in patients with HCC. Reverse transcription-quantitative polymerase chain reaction analysis was used to detect the expression levels of miR-132 in 95 cases of HCC and their corresponding non-cancerous liver tissues. Th e associations between miR-132 expression levels and clinicopathological characteristics, including recurrence, were investigated in patients with HCC. miR-132 expression levels were significantly reduced in HCC tissues, as compared with adjacent non-cancerous tissues (1.9245±0.7564 vs. 2.7326±1.1475; P<0.001). The area under curve (AUC) of receiver operating characteristic (ROC) used to distinguish cancerous and non-cancerous tissues was 0.711 for miR-132 expression (95% confidence interval, 0.637–0.785; P<0.001) and the optimal cut-off value was 2.25. Expression levels of miR-132 were significantly reduced in the distant metastasis (P=0.031), advanced clinical TNM stage (P=0.022), hepatitis B virus-positive (P<0.001), NM23-expressed (P=0.034), high Ki-67 labeling index (LI; P=0.005) and tumor infiltration or no capsule groups (P=0.026). Spearman correlation analysis demonstrated that miR-132 was significantly correlated with hepatitis B virus infection (r=−0.351; P<0.001), NM23 (r=−0.220; P=0.032), Ki-67 LI (r=−0.264; P=0.010) and tumor capsule (r=−0.207; P=0.044). Kaplan-Meier analysis with the log-rank test indicated an approximate difference of 8 months, although miR-132 may exhibit inferior values for the prediction of recurrence in HCC patients (50.95 vs. 58.68 months; P=0.512). Therefore, the findings of the present study indicated that miR-132 is downregulated in HCC and may serve as a tumor suppressor in its progression.


Pathology Research and Practice | 2017

Implication of downregulation and prospective pathway signaling of microRNA-375 in lung squamous cell carcinoma

Wen-jie Chen; Ting-qing Gan; Hui Qin; Suning Huang; Lihua Yang; Ye-ying Fang; Zuyun Li; Lin-jiang Pan; Gang Chen

BACKGROUND Lung cancer is one of the most typical cancers in the world. Altered expression profiles of microRNA-375(miR-375) are linked to many diseases including lung cancer. However, the relationship between miR-375 and lung squamous cell carcinoma (LUSC) is controversial. METHODS We first evaluated the 23 LUSCs and the paired normal lung tissues by qRT-PCR. Then we analyzed the LUSC samples with miR-375 expression based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Furthermore, bioinformatics analysis was performed to explore the biological role of miR-375 in LUSC. RESULTS The expression of miR-375 was remarkably reduced in LUSC tissues compared with that in paired lung tissues by qRT-PCR (P=0.003). Additionally, the TCGA dataset suggested that miR-375 was significantly downregulated in 478 LUSC tissues compared with 45 normal lung tissues (P<0.0001), as well as the result derived from GEO datasets (the pooled SMD=-1.01; 95%CIs-1.66 to -0.33, P=0.004). Furthermore, a total of 1348 miR-375-related differently expressed genes were identified by the analytical integration, which were involved in critical pathways of LUSC like neuron differentiation, plasma membrane part and sequence-specific DNA binding. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway examination also unveiled the involvement of target genes in morphine addiction and drug metabolism- other enzymes and neuroactive ligand-receptor interaction. Finally, the expression of WNT5A was inversely correlated with miR-375 expression according to TCGA dataset (r=-0.2342, P<0.0001). CONCLUSIONS miR-375 exerts a strong tumor-suppressive effect in LUSC and provided novel insight into the biological function in tumorigenesis and progression of LUSC.


Medical Science Monitor | 2017

Clinical Value and Prospective Pathway Signaling of MicroRNA-375 in Lung Adenocarcinoma: A Study Based on the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and Bioinformatics Analysis

Ting-qing Gan; Wen-jie Chen; Hui Qin; Suning Huang; Lihua Yang; Ye-ying Fang; Lin-jiang Pan; Zuyun Li; Gang Chen

Background Lung adenocarcinoma (LUAD) is the most frequent lung cancer. MicroRNAs (miRNAs) are believed to have fundamental roles in tumorigenesis of LUAD. Although miRNAs are broadly recognized in LUAD, the role of microRNA-375 in LUAD is still not fully elucidated. Material/Methods We evaluated the significance of miR-375 expression in LUAD by using analysis of a public dataset from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database and a literature review. Furthermore, we investigated the biological function of miR-375 by gene ontology enrichment and target prediction analysis. Results MiR-375 expression was significantly higher in LUAD by TCGA data compared to normal lung tissue (p<0.0001). In addition, a common pattern of upregulation for miR-375 in LUAD was found in our review of the literature. A total of 682 genes, both LUAD-related and miR-375-related, were obtained from the analytical integration. Critical pathways were unveiled in the network analysis of the overlaps, such as pentose and glucuronate interconversions, ascorbate and aldarate metabolism, and starch and sucrose metabolism. Furthermore, we identified covert miR-375 associated genes that might participate in LUAD by network analysis, such as FGF2 (fibroblast growth factor 2), PAX6 (paired box 6), and RHOJ. The expression of these three genes were all downregulated in LUAD. Finally, FGF2 was revealed to be negatively correlated with miR-375 in LUAD (r=−0.1821, p=0.0001). Conclusions Overall, our study provides evidence that miR-375 is essential for the progression of LUAD.


World Journal of Surgical Oncology | 2018

Clinical value of miR-182-5p in lung squamous cell carcinoma: a study combining data from TCGA, GEO, and RT-qPCR validation

Jie Luo; Ke Shi; Shu-ya Yin; Rui-Xue Tang; Wen-jie Chen; Lin-zhen Huang; Ting-qing Gan; Zheng-wen Cai; Gang Chen

BackgroundMiR-182-5p, as a member of miRNA family, can be detected in lung cancer and plays an important role in lung cancer. To explore the clinical value of miR-182-5p in lung squamous cell carcinoma (LUSC) and to unveil the molecular mechanism of LUSC.MethodsThe clinical value of miR-182-5p in LUSC was investigated by collecting and calculating data from The Cancer Genome Atlas (TCGA) database, the Gene Expression Omnibus (GEO) database, and real-time quantitative polymerase chain reaction (RT-qPCR). Twelve prediction platforms were used to predict the target genes of miR-182-5p. Protein-protein interaction (PPI) networks and gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to explore the molecular mechanism of LUSC.ResultsThe expression of miR-182-5p was significantly over-expressed in LUSC than in non-cancerous tissues, as evidenced by various approaches, including the TCGA database, GEO microarrays, RT-qPCR, and a comprehensive meta-analysis of 501 LUSC cases and 148 non-cancerous cases. Furthermore, a total of 81 potential target genes were chosen from the union of predicted genes and the TCGA database. GO and KEGG analyses demonstrated that the target genes are involved in pathways related to biological processes. PPIs revealed the relationships between these genes, with EPAS1, PRKCE, NR3C1, and RHOB being located in the center of the PPI network.ConclusionsMiR-182-5p upregulation greatly contributes to LUSC and may serve as a biomarker in LUSC.


Tumor Biology | 2017

Clinical value of miR-145-5p in NSCLC and potential molecular mechanism exploration: A retrospective study based on GEO, qRT-PCR, and TCGA data:

Ting-qing Gan; Zu-cheng Xie; Rui-Xue Tang; Tong-tong Zhang; Dong-yao Li; Zuyun Li; Gang Chen

MicroRNAs have been reported to be involved in various biological processes. Here, we performed a systematic analysis to explore the clinical value and potential molecular mechanism of miR-145-5p in non-small cell lung cancer. First, a meta-analysis was performed with eligible literature, followed by microRNA microarrays in the Gene Expression Omnibus database, to verify the diagnostic and prognostic values of miR-145-5p. A cohort of 125 clinical paired non-small cell lung cancer samples was next used to detect the level of miR-145-5p and to explore the relationship of miR-145-5p with clinicopathological parameters. The Cancer Genome Atlas database was additionally applied to investigate the role of miR-145-5p in non-small cell lung cancer. The potential targets of miR-145-5p were predicted using 12 online prediction databases to explore the prospective molecular mechanism of miR-145-5p in non-small cell lung cancer. The expression of miR-145-5p in non-small cell lung cancer was significantly lower than that in healthy tissues. And miR-145-5p tended to show better diagnostic performance in lung squamous cell carcinoma than in lung adenocarcinoma. Furthermore, the expression of miR-145-5p was closely associated with lymph node metastasis in non-small cell lung cancer. Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that the target genes were mainly enriched with enzyme-linked receptor protein signaling pathways, SH3 domain binding, cell leading edge, and adherens junction. The protein–protein interaction network showed that eight hub genes (SMAD4, SMAD2, IRS1, FOXO1, ERBB4, NRAS, ACTB, and ACTG1) might be the key target genes of miR-145-5p in non-small cell lung cancer. The information we obtained might offer new perspectives for clinical diagnosis and treatment for non-small cell lung cancer.


World Journal of Surgical Oncology | 2018

Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis

Rui Zhang; Tong-tong Zhang; Gao-qiang Zhai; Xian-yu Guo; Yuan Qin; Ting-qing Gan; Yu Zhang; Gang Chen; Wei-jia Mo; Zhenbo Feng

BackgroundThis study was carried out to discover the underlying role that HOXA11 plays in lung squamous cancer (LUSC) and uncover the potential corresponding molecular mechanisms and functions of HOXA11-related genes.MethodsTwenty-three clinical paired LUSC and non-LUSC samples were utilized to examine the level of HOXA11 using quantitative real-time polymerase chain reaction (qRT-PCR). The clinical significance of HOXA11 was systematically analyzed based on 475 LUSC and 18 non-cancerous adjacent tissues from The Cancer Genome Atlas (TCGA) database. A total of 102 LUSC tissues and 121 non-cancerous tissues were available from Oncomine to explore the expressing profiles of HOXA11 in LUSC. A meta-analysis was carried out to further assess the differential expression of HOXA11 in LUSC, including in-house qRT-PCR data, expressing data extracted from TCGA and Oncomine databases. Moreover, the enrichment analysis and potential pathway annotations of HOXA11 in LUSC were accomplished via Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The expression of hub genes and according correlations with HOXA11 were assessed to further explore the biological role of HOXA11 in LUSC.ResultsHOXA11 expression in LUSC had a tendency to be upregulated in comparison to adjacent non-cancerous tissues by qRT-PCR. TCGA data displayed that HOXA11 was remarkably over-expressed in LUSC compared with that in non-LUSC samples, and the area under curves (AUC) was 0.955 (P < 0.001). A total of 1523 co-expressed genes were sifted for further analysis. The most significant term enriched in the KEGG pathway was focal adhesion. Among the six hub genes of HOXA11, including PARVA, ILK, COL4A1, COL4A2, ITGB1, and ITGA5, five (with the exception of COL4A1) were significantly decreased compared with the normal lung tissues. Moreover, the expression of ILK was negatively related to HOXA11 (r = − 0.141, P = 0.002).ConclusionHigh HOXA11 expression may lead to carcinogenesis and the development of LUSC. Furthermore, co-expressed genes might affect the prognosis of LUSC.


Cellular Physiology and Biochemistry | 2018

Clinical Significance of miR-210 and its Prospective Signaling Pathways in Non-Small Cell Lung Cancer: Evidence from Gene Expression Omnibus and the Cancer Genome Atlas Data Mining with 2763 Samples and Validation via Real-Time Quantitative PCR.

Rong-Quan He; Wei-Luan Cen; Jie-Mei Cen; Wei-ning Cen; Jia-yi Li; Mei-Wei Li; Ting-qing Gan; Xiao-hua Hu; Gang Chen

Background/Aims: Since the function of microRNA (miR)-210 in non-small cell lung cancer (NSCLC) remains unclear, we aimed to explore the clinical significance of miR-210 in NSCLC. Methods: NSCLC-related data from 1673 samples on Gene Expression Omnibus and 1090 samples on The Cancer Genome Atlas were obtained and analyzed. The expression level of miR-210 was validated via real-time quantitative PCR analysis with 125 paired clinical samples. A meta-analysis was performed to generate a comprehensive understanding of miR-210 expression and its clinical significance in NSCLC. In addition, bioinformatics analysis was also conducted to reveal the potential underlying mechanism of miR-210 action in NSCLC. Results: miR-210 expression was consistently elevated in NSCLC solid tissue samples. However, its expression was controversial in easily obtained body fluids (i.e., blood, plasma, and serum). Moreover, an overall pooled meta-analysis implied a comparatively higher level of miR-210 expression in NSCLC cancerous tissue than in normal control tissue (P < 0.001). In addition, a meta-analysis of outcome revealed a significant diagnostic capacity of miR-210 in NSCLC by detecting its expression in serum and sputum (area under the summary receiver operating characteristic curve 0.82 and 0.81, respectively). miR-210 overexpression was associated with poor progression-free survival (PFS) in NSCLC and was negatively related to overall survival and disease-free survival. Bioinformatic gene enrichment and annotation analyses showed that the target genes of miR-210 were greatly enriched in cell adhesion and plasma membrane, and three pathways were considered to be the main functional circuits of miR-210: renin secretion, the cGMP-PKG signaling pathway, and cell adhesion molecules. Conclusion: In NSCLC, miR-210 expression was elevated and overexpression indicated poor PFS. Expression level of miR-210 in serum and sputum showed significant diagnostic value for NSCLC.


Tumor Biology | 2017

Clinical value of miR-452-5p expression in lung adenocarcinoma: A retrospective quantitative real-time polymerase chain reaction study and verification based on The Cancer Genome Atlas and Gene Expression Omnibus databases

Xiao-ning Gan; Jie Luo; Rui-Xue Tang; Hanlin Wang; Hong Zhou; Hui Qin; Ting-qing Gan; Gang Chen

The role and mechanism of miR-452-5p in lung adenocarcinoma remain unclear. In this study, we performed a systematic study to investigate the clinical value of miR-452-5p expression in lung adenocarcinoma. The expression of miR-452-5p in 101 lung adenocarcinoma patients was detected by quantitative real-time polymerase chain reaction. The Cancer Genome Atlas and Gene Expression Omnibus databases were joined to verify the expression level of miR-452-5p in lung adenocarcinoma. Via several online prediction databases and bioinformatics software, pathway and network analyses of miR-452-5p target genes were performed to explore its prospective molecular mechanism. The expression of miR-452-5p in lung adenocarcinoma in house was significantly lower than that in adjacent tissues (p < 0.001). Additionally, the expression level of miR-452-5p was negatively correlated with several clinicopathological parameters including the tumor size (p = 0.014), lymph node metastasis (p = 0.032), and tumor–node–metastasis stage (p = 0.036). Data from The Cancer Genome Atlas also confirmed the low expression of miR-452 in lung adenocarcinoma (p < 0.001). Furthermore, reduced expression of miR-452-5p in lung adenocarcinoma (standard mean deviations = −0.393, 95% confidence interval: −0.774 to −0.011, p = 0.044) was validated by a meta-analysis. Five hub genes targeted by miR-452-5p, including SMAD family member 4, SMAD family member 2, cyclin-dependent kinase inhibitor 1B, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein epsilon, and tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein beta, were significantly enriched in the cell-cycle pathway. In conclusion, low expression of miR-452-5p tends to play an essential role in lung adenocarcinoma. Bioinformatics analysis might be beneficial to reveal the potential mechanism of miR-452-5p in lung adenocarcinoma.

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Gang Chen

Guangxi Medical University

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Lihua Yang

Guangxi Medical University

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Rui-Xue Tang

Guangxi Medical University

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Rongquan He

Guangxi Medical University

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Wen-jie Chen

Guangxi Medical University

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Yiwu Dang

Guangxi Medical University

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Zuyun Li

Guangxi Medical University

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Dian-Zhong Luo

Guangxi Medical University

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Hui Qin

Guangxi Medical University

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Suning Huang

Guangxi Medical University

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