Research on the Typical miRNA and Target Genes in Squamous Cell Carcinoma and Adenocarcinoma of Esophagus Cancer with DNA Microarray

2014 ◽  
Vol 20 (2) ◽  
pp. 245-252 ◽  
Author(s):  
Hong Bin Wang ◽  
Zhi Biao Jiang ◽  
Min Li
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Dna Microarray ◽  
Squamous Cell ◽  
Target Genes ◽  
Esophagus Cancer ◽  
Adenocarcinoma Of Esophagus

scholarly journals Circulating miR-16-5p, miR-92a-3p, and miR-451a in Plasma from Lung Cancer Patients: Potential Application in Early Detection and a Regulatory Role in Tumorigenesis Pathways

Cancers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2071 ◽  
Author(s):  
Patricia P. Reis ◽  
Sandra A. Drigo ◽  
Robson F. Carvalho ◽  
Rainer Marco Lopez Lapa ◽  
Tainara F. Felix ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Target Genes ◽  
Lung Squamous Cell Carcinoma ◽  
High Specificity ◽  
Mirna Signature ◽  
Lung Tumorigenesis ◽  
Lung Cancer Patients

Background: Micro(mi)RNAs, potent gene expression regulators associated with tumorigenesis, are stable, abundant circulating molecules, and detectable in plasma. Thus, miRNAs could potentially be useful in early lung cancer detection. We aimed to identify circulating miRNA signatures in plasma from patients with lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), and to verify whether miRNAs regulate lung oncogenesis pathways. Methods: RNA isolated from 139 plasma samples (40 LUAD, 38 LUSC; 61 healthy/non-diseased individuals) were divided into discovery (38 patients; 21 controls for expression quantification using an 800-miRNA panel; Nanostring nCounter®) and validation (40 patients; 40 controls; TaqMan® RT-qPCR) cohorts. Elastic net, Maximizing-R-Square Analysis (MARSA), and C-Statistics were applied for miRNA signature identification. Results: When compared to healthy individuals, 580 of 606 deregulated miRNAs in LUAD and 221 of 226 deregulated miRNAs in LUSC had significantly increased levels. Among the 10 most significantly overexpressed miRNAs, 6 were common to patients with LUAD and LUSC. Further analysis identified three signatures composed of 12 miRNAs. Signatures included miRNAs commonly overexpressed in patient plasma. Enriched pathways included target genes modulated by three miRNAs in the C-Statistics signature: miR-16-5p, miR-92a-3p, and miR-451a. Conclusions: The 3-miRNA signature (miR-16-5p, miR-92a-3p, miR-451a) had high specificity (100%) and sensitivity (84%) to predict cancer (LUAD and LUSC). These miRNAs are predicted to modulate genes and pathways with known roles in lung tumorigenesis, including EGFR, K-RAS, and PI3K/AKT signaling, suggesting that the 3-miRNA signature is biologically relevant in adenocarcinoma and squamous cell carcinoma of the lung.

scholarly journals Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Xingsong Li ◽  
Xiaokang Yu ◽  
Yuting He ◽  
Yuhuan Meng ◽  
Jinsheng Liang ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Mirna Target ◽  
Target Gene ◽  
Target Genes ◽  
Integrated Analysis ◽  
Cancer Type ◽  
Gene Pairs ◽  
Cancer Types

Background. Accumulating evidences demonstrated that microRNA-target gene pairs were closely related to tumorigenesis and development. However, the correlation between miRNA and target gene was insufficiently understood, especially its changes between tumor and normal tissues. Objectives. The aim of this study was to evaluate the changes of correlation of miRNAs-target pairs between normal and tumor. Materials and Methods. 5680 mRNA and 5740 miRNA expression profiles of 11 major human cancers were downloaded from the Cancer Genome Atlas (TCGA). The 11 cancer types were bladder urothelial carcinoma, breast invasive carcinoma, head and neck squamous cell carcinoma, kidney chromophobe, kidney renal clear cell carcinoma, kidney renal papillary cell carcinoma, liver hepatocellular carcinoma, lung adenocarcinoma, lung squamous cell carcinoma, stomach adenocarcinoma, and thyroid carcinoma. For each cancer type, we firstly obtained differentially expressed miRNAs (DEMs) and genes (DEGs) in tumor and then acquired critical miRNA-target gene pairs by combining DEMs, DEGs and two experimentally validated miRNA-target interaction databases, miRTarBase and miRecords. We collected samples with both miRNA and mRNA expression values and performed a correlation analysis by Pearson method for miRNA-target pairs in normal and tumor, respectively. Results. We totally got 4743 critical miRNA-target pairs across 11 cancer types, and 4572 of them showed weaker correlation in tumor than in normal. The average correlation coefficients of miRNA-target pairs were different greatly between normal (-0.38 ~ -0.61) and tumor (-0.04 ~ -0.26) for 11 cancer type. The pan-cancer network, which consisted of 108 edges connecting 35 miRNAs and 89 target genes, showed the interactions of pairs appeared in multicancers. Conclusions. This comprehensive analysis revealed that correlation between miRNAs and target genes was greatly reduced in tumor and these critical pairs we got were involved in cellular adhesion, proliferation, and migration. Our research could provide opportunities for investigating cancer molecular regulatory mechanism and seeking therapeutic targets.

Association between SNPs in P53 Binding Regions and Risk of Esophageal Squamous Cell Carcinoma

2014 ◽  
Vol 29 (2) ◽  
pp. 160-168 ◽  
Author(s):  
Kai Wang ◽  
Botao Liu ◽  
Juan Li ◽  
Gang Xiong ◽  
Xingying Guan ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Chinese Population ◽  
Target Genes ◽  
Clinical Stage ◽  
Binding Region ◽  
Binding Regions

Background The tumor protein 53 (TP53 or p53) plays an important role in tumor suppression by binding to the regulatory region of its target genes. Single nucleotide polymorphisms (SNP) located in the p53 binding regions are likely to affect the expression of p53 target genes and may contribute to susceptibility to common diseases. The role of the genetic variations in esophageal squamous cell carcinoma (ESCC) has been well explored. However, the role of p53 binding region variations in esophageal cancer is poorly understood. Methods We investigated the association of 6 p53 binding region polymorphisms with susceptibility of 400 ESCC cases and 400 cancer-free controls in a Southwest Chinese population using the SNapShot assay. Differences in frequencies of the SPNs genotypes between cases and controls were evaluated using the chi-square test. Results We found that the C allele of rs1009316 in Bax and rs762624 in CDKN1A can decrease the risk of ESCC. In the multiple genetic model, we found that the rs2395655 in CDKN1A is related with the risk of ESCC, and that the G allele increases the susceptibility to ESCC (OR: 1.364; 95% CI: 1.104-1.685). We carried out a stratification analysis between alleles and risk of ESCC according to clinical stage. There was no relationship between these SNPs and clinical stage. Conclusion SNPs in the p53 binding region may modulate the risk of ESCC in the Southwest Chinese population.

scholarly journals Bioinformatics analysis of the expression and role of microRNA-221-3p in the head and neck squamous cell carcinoma

2020 ◽  
Author(s):  
Ziyan Zhou ◽  
Wu Wenling ◽  
Li Jixi ◽  
Liu Chang ◽  
Xiao Zixi ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Target Genes ◽  
Neck Squamous Cell Carcinoma ◽  
The Cancer Genome Atlas ◽  
High Rate ◽  
Summary Receiver Operating Characteristic

Abstract Background Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer subtype globally, associated with a high rate of morbidity and mortality. However, the target genes of miR-221-3p and the underlying mechanism involved in HNSCC were not known. Therefore, in the current study, we studied the role of miR-221-3p in the HNSCC. Methods Tissues collected from 48 control and 21 HNSCC patients were processed to check the differential expression of miR-221-3p by Real-time RT-Polymerase Chain Reaction (RT-qPCR). Overexpression of microRNA-221-3p (miR-221-3p) is significantly correlated to the onset and progression of HNSCC. We also conducted the meta-analysis of the cancer literature from the cancer genome atlas (TCGA) and the Gene Expression Omnibus (GEO) database to estimate the expression of miR-221-3p in HNSCC. The miR-221-3p target genes in the HNSCC were predicted with the miRWalk and TCGA databases, and functionally annotated via the Gene Ontology Finally, Spearman’s analysis was used to determine the role of the related target genes in important pathways involved in the development of HNSCC. Results We observed a significantly higher expression of miR-221-3p in HNSCC compared to the normal with a summary receiver operating characteristic (sROC) of 0.86(95% Cl: 0.83,0.89). The KEGG and GO comprehensive analysis predicted that miR-221-3p might be involved in the development of HNSCC through the following metabolic pathways, viz Drug metabolism - cytochrome P450 UGT1A7 and MAOB may be important genes for the role of mir-221-3p. Conclusions Our results indicate that miR-221-3p may be used as a non-invasive and hypersensitive biomarker in the diagnosis. Thus, it can be concluded that miR-221-3p is an extremely important gene locus involved in the process of the deterioration and eventual tumorigenesis of HNSCC.

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