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pmid:31343435

Exploring the long noncoding RNAs-based biomarkers and pathogenesis of malignant transformation from dysplasia to oral squamous cell carcinoma by bioinformatics method.

Hongcheng Jia · Xuan Wang · Zheng Sun

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2020 doi:10.1097/CEJ.0000000000000527

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title
Exploring the long noncoding RNAs-based biomarkers and pathogenesis of malignant transformation from dysplasia to oral squamous cell carcinoma by bioinformatics method.
doi
10.1097/CEJ.0000000000000527
pmid
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Hongcheng Jia
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Xuan Wang
[2]
Zheng Sun
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European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)
year
2020
abstract
Long noncoding RNAs (lncRNAs) play an important role in many biological processes and carcinogenesis. We aimed to explore lncRNA-based pathogenesis, diagnostic biomarkers, and predictive factors of malignant transformation from dysplasia to oral squamous cell carcinoma (OSCC). Microarray data of GSE30784 consisting of 167 OSCC, 17 dysplasia, and 45 normal oral tissues were downloaded from the GEO database. The differentially expressed genes (DEGs) and lncRNAs between the three samples were identified using R, followed by lncRNA-mRNA coexpression and coregulation network analysis for the prediction of lncRNA target genes. Gene Ontology and Kyoto encydopedia of gene and genomes pathway analysis were performed to further characterize potential interactions. A total of 4462 DEGs and 76 differentially expressed lncRNAs were screened between the three groups, and 200 DEGs and only double homeobox A pseudogene 10 (DUXAP10) were screened among the three groups. A total of 1662 interactions of 46 lncRNAs and their coexpressed target genes were predicted, and 38 pairs of lncRNA-lncRNA coregulated 843 target genes. The coregulated target genes significantly enriched in antigen adaptive immune response, activation of phagocytosis receptor signaling, mast granule NF-κB inflammation, etc. Overall, lncRNAs were differentially expressed in OSCC and dysplasia. The target genes might play an important role in the carcinogenesis and development of OSCC. These results improve our understanding regarding the lncRNA-based pathogenesis and identify some potential targets for early diagnosis of malignant transformation from dysplasia to OSCC.
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Functional enrichment analysis of coregulated genes was done by Maere et al. (2005). Functional enrichment analysis of coexpressed genes was done by Huang et al. (2009).
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Functional enrichment analysis of coregulated genes was done by Maere et al. (2005). Functional enrichment analysis of coexpressed genes was done by Huang et al. (2009).
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The data (GSE30784) were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo/). The gene chip data were completed and submitted to GEO by Chen et al. (2008) from the Fred Hutchinson Cancer Research Center, which included 167 cases of OSCC, 17 cases of atypical hyperplasia, and 45 cases of normal control. The platform is GPL570, namely, the Affymetrix U133 2 Plus GeneChip arrays. GEOquery package in R language was used to obtain the gene chip expression data whose accession number is GSE30784, and its acquisition address is https://ftp.ncbi.nlm.nih.gov/geo/series/GSE30nnn/GSE30784/matrix/GSE30784_series_matrix.txt.gz. The dataset contains 229 samples and expression information of 54 675 probes. At the same time, the annotation information of the probes, such as the associated gene symbols, Entrez Gene ID and gene name, and the clinical annotation information of the sample, such as age, gender, and disease status (cancer, dysplasia and control), were also obtained.
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The data (GSE30784) were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo/).
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The gene chip data were completed and submitted to GEO by Chen et al.
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(2008) from the Fred Hutchinson Cancer Research Center, which included 167 cases of OSCC, 17 cases of atypical hyperplasia, and 45 cases of normal control.
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GEOquery package in R language was used to obtain the gene chip expression data whose accession number is GSE30784, and its acquisition address is https://ftp.ncbi.nlm.nih.gov/geo/series/GSE30nnn/GSE30784/matrix/GSE30784_series_matrix.txt.gz.
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At the same time, the annotation information of the probes, such as the associated gene symbols, Entrez Gene ID and gene name, and the clinical annotation information of the sample, such as age, gender, and disease status (cancer, dysplasia and control), were also obtained.
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Functional enrichment analysis of coregulated genes was done by Maere et al. (2005). Functional enrichment analysis of coexpressed genes was done by Huang et al. (2009).
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The data (GSE30784) were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo/). The gene chip data were completed and submitted to GEO by Chen et al. (2008) from the Fred Hutchinson Cancer Research Center, which included 167 cases of OSCC, 17 cases of atypical hyperplasia, and 45 cases of normal control. The platform is GPL570, namely, the Affymetrix U133 2 Plus GeneChip arrays. GEOquery package in R language was used to obtain the gene chip expression data whose accession number is GSE30784, and its acquisition address is https://ftp.ncbi.nlm.nih.gov/geo/series/GSE30nnn/GSE30784/matrix/GSE30784_series_matrix.txt.gz. The dataset contains 229 samples and expression information of 54 675 probes. At the same time, the annotation information of the probes, such as the associated gene symbols, Entrez Gene ID and gene name, and the clinical annotation information of the sample, such as age, gender, and disease status (cancer, dysplasia and control), were also obtained.
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asia to oral squamous cell carcinoma (OSCC). Microarray data of GSE30784 consisting of 167 OSCC, 17
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We aimed to explore lncRNA-based pathogenesis, diagnostic biomarkers, and predictive factors of malignant transformation from dysplasia to oral squamous cell carcinoma (OSCC). Microarray data of GSE30784 consisting of 167 OSCC, 17 dysplasia, and 45 normal oral tissues were downloaded from the GEO database. The differentially expressed genes (DEGs) and lncRNAs between the three samples were identified using R, followed by lncRNA-mRNA coexpression and coregulation network analysis for the prediction of lncRNA target genes. Gene Ontology and Kyoto encydopedia of gene and genomes pathway analysis were performed to further characterize potential interactions. A total of 4462 DEGs and 76 differentially expressed lncRNAs were screened between the three groups, and 200 DEGs and only double homeobox A pseudogene 10 (DUXAP10) were screened among the three groups. A total of 1662 interactions of 46 lncRNAs and their coexpressed target genes were predicted, and 38 pairs of lncRNA-lncRNA coregulated 843 target genes. The coregulated target genes significantly enriched in antigen adaptive immune response, activation of phagocytosis receptor signaling, mast granule NF-κB inflammation, etc. Overall, lncRNAs were differentially expressed in OSCC and dysplasia. The target genes might play an important role in the carcinogenesis and development of OSCC. These results improve our understanding regarding the lncRNA-based pathogenesis and identify some potential targets for early diagnosis of malignant transformation from dysplasia to OSCC.", "claims": [{"id": "claim-method", "statement": "Functional enrichment analysis of coregulated genes was done by Maere et al. (2005). Functional enrichment analysis of coexpressed genes was done by Huang et al. 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