Clinical Significance and Potential Regulatory Mechanisms of Serum Response Factor in 1118 Cases of Thyroid Cancer Based on Gene Chip and RNA-Sequencing Data

Jing, Qiang-bin; Tong, Hai-xiao; Tang, Wei-jian; Shen, Tian

doi:10.12659/msm.919302

Cited by 7 publications

(4 citation statements)

References 57 publications

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“… 49 Moreover, Jing et al found that miR-330-5p promotes thyroid cancer by inhibiting the expression of SRF gene tumor formation. 50 The miR-520e gene is located at locus 19q13.4 on the chromosome and is one of the critical members of the miR-520 family. The abnormal expression of miR-520e is closely related to the occurrence and development of various cancers, such as breast, liver, and colorectal cancer.…”

Section: Discussionmentioning

confidence: 99%

Identification and Validation of Key miRNAs for Colon Cancer Based on miRNA-Gene Integration Analysis

Ji,

Gu,

Zhang

et al. 2023

IJGM

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Background MicroRNAs (miRNAs) plays an essential role in the pathogenesis of colon cancer. This study aims to identify and verify key miRNAs that may serve as potential biomarkers for early diagnosis and treatment of colon cancer. Methods Two miRNA microarray datasets (GSE53339 and GSE126093) were downloaded from the Gene Expression Omnibus (GEO) database, and the common differentially expressed miRNAs (DEMis) of both were identified by the “limma” package and the intersect function in R. Then, the miRwalk online tool was used to predict the target genes of the common DEMis and perform Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on those DEMis. The miRNA-gene network was constructed using Cytoscape software to identify key miRNAs and validated using quantitative real-time PCR (qRT-PCR) and The Cancer Genome Atlas (TCGA) dataset information for experimental and external database validation, respectively. In addition, we explored the correlation between key miRNAs and infiltrating immune cells and immunotherapy biomarkers. Results Fourteen common DEMis were identified from the GEO database, and five targeted genes were predicted. A microRNA-gene network was subsequently constructed to identify three key miRNAs (miR-363-3p, miR-520e, and miR-330-5p). Both qRT-PCR and external database validation confirmed our findings. In addition, we found that miR-520e was significantly associated with infiltrating immune cells and established immune checkpoints. Conclusion Our study identified three key miRNAs that influence the development of colon cancer. In addition, further studies suggest that infiltrating immune cells may play an essential role in the pathogenesis of colon cancer. These findings assist in early diagnosis and precision-targeted therapies.

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Section: Discussionmentioning

confidence: 99%

Identification and Validation of Key miRNAs for Colon Cancer Based on miRNA-Gene Integration Analysis

Ji,

Gu,

Zhang

et al. 2023

IJGM

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“…This study included The Gene Expression Database (GEO) [ 24 ], ArrayExpress [ 25 ], Oncomine [ 26 ], and The Sequence Read Archive (SRA) [ 27 ] in order to search both Chinese and English medical literature for microarray data of BSG to analyze its clinical value in TC. Our search included data entered into the databases from the beginning to February 21, 2020.…”

Section: Methodsmentioning

confidence: 99%

Immunohistochemical basigin expression level in thyroid cancer tissues

et al. 2020

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Background: Thyroid cancer (TC) is the most common endocrine malignancy; basigin (also known as BSG) plays a crucial role in tumor cell invasion, metastasis, and angiogenesis. This study was designed to identify the change of BSG expression in TC and its possible potential mechanism. Methods: The BSG expression levels in TC were demonstrated using data collected from in-house immunohistochemical (IHC), RNA-sequencing (RNA-seq), microarrays, and literatures. Integrated analysis was performed to determined BSG expression levels in TC comprehensively. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed with the integration of BSG co-expressed genes and differentially expressed genes (DEGs) in TC tissues to explore the potential mechanisms of BSG in TC. Results: The protein expression level of BSG was significantly higher in TC cases based on the IHC experiments. In addition, the combined SMD for BSG expression was 0.39 (p < 0.0001), the diagnostic odds ratio was 3.69, and the AUC of the sROC curve was 0.6986 using 1182 TC cases and 437 non-cancerous cases from 17 independent datasets. Furthermore, BSG co-expressed genes tended to be enriched in gene terms of the extracellular matrix (ECM), cell adhesion, and cell-cell interactions. The expression levels of nine hub BSG co-expressed genes were markedly upregulated in TC cases. Conclusion: BSG expression levels were closely correlated with the progression of TC and may affect the signals of the ECM, cell adhesion, and cell-cell interactions.

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“…This study included The Gene Expression Database (GEO) [24], ArrayExpress [25], Oncomine [26], and the The Sequence Read Archive (SRA) [27] in order to search both Chinese and English medical literature for microarray data of BSG to analyze its clinical value in TC. Our search included data entered into the databases from the beginning to February 21, 2020.…”

Section: Bsg Expression In Tc Tissues From Other Microarray Datamentioning

confidence: 99%

Immunohistochemical Basigin Expression Level in Thyroid Cancer Tissues

Guo

Tang

Pang

et al. 2020

Preprint

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Background: Thyroid cancer (TC) is the most common endocrine malignancy, Basigin (also known as BSG) plays a crucial role in tumor cell invasion, metastasis, and angiogenesis. This study was designed to identify the change of BSG expression in TC and its possible potential mechanism. Methods: The BSG expression levels in TC were demonstrated using data collected from in-house immunohistochemical (IHC), RNA-sequencing (RNA-seq), microarrays and literatures. Integrated analysis was performed to determined BSG expression levels in TC comprehensively. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed with the integration of BSG co-expressed genes and differentially expressed genes (DEGs) in TC tissues to explore the potential mechanisms of BSG in TC. Results: The protein expression level of BSG was significantly higher in TC cases based on the IHC experiments. In addition, the combined SMD for BSG expression was 0.39 (p<0.0001), the diagnostic odds ratio was 3.69, and the AUC of the sROC curve was 0.6986 using 1182 TC cases and 437 non-cancerous cases from 17 independent datasets. Furthermore, BSG co-expressed genes tended to be enriched in gene terms of the extracellular matrix (ECM), cell adhesion, and cell-cell interactions. The expression levels of nine hub BSG co-expressed genes were markedly up-regulated in TC cases. Conclusion: BSG expression levels were closely correlated with the progression of TC and may affect the signals of the ECM, cell adhesion, and cell-cell interactions.

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Clinical Significance and Potential Regulatory Mechanisms of Serum Response Factor in 1118 Cases of Thyroid Cancer Based on Gene Chip and RNA-Sequencing Data

Cited by 7 publications

References 57 publications

Identification and Validation of Key miRNAs for Colon Cancer Based on miRNA-Gene Integration Analysis

Identification and Validation of Key miRNAs for Colon Cancer Based on miRNA-Gene Integration Analysis

Immunohistochemical basigin expression level in thyroid cancer tissues

Immunohistochemical Basigin Expression Level in Thyroid Cancer Tissues

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