Dataset Information

Bioinformatic Analysis for Mucoepidermoid and Adenoid Cystic Carcinoma of Therapeutic Targets.

ABSTRACT: Salivary gland neoplasms are a heterogeneous neoplasm group, including mucoepidermoid carcinoma (MECa), adenoid cystic carcinoma (AdCC), and many others.

Objective

We aimed to identify new critical genes of MECa and AdCC using bioinformatics analysis.

Methods

Gene expression profile of GSE153283 was analyzed by the GEO2R online tool to use the DAVID software for their subsequent enrichment. Protein-protein interactions (PPI) were visualized using String. Cytoscape with MCODE plugin followed by Kaplan-Meier online for overall survival analysis were performed.

Results

97 upregulated genes were identified for MECa and 86 for AdCC. PPI analysis revealed 22 genes for MECa and 63 for AdCC that were validated by Kaplan-Meier that showed FN1 and SPP1 for MECa, and EGF and ERBB2 for AdCC as more significant candidate genes for each neoplasm.

Conclusion

With bioinformatics methods, we identify upregulated genes in MECa and AdCC. The resulting candidate genes as possible therapeutic targets were FN1, SPP1, EGF, and ERBB2, and all those genes had been tested as a target in other neoplasm kinds but not salivary gland neoplasm. The bioinformatic evidence is a solid strategy to select them for more extensive research with clinical impact.

SUBMITTER: Ramirez-Martinez CM

PROVIDER: S-EPMC9500958 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

Bioinformatic Analysis for Mucoepidermoid and Adenoid Cystic Carcinoma of Therapeutic Targets.

Ramírez-Martínez Carla Monserrat CM Jacinto-Alemán Luis Fernando LF Cruz-Hervert Luis Pablo LP Portilla-Robertson Javier J Leyva-Huerta Elba Rosa ER

Vaccines 20220919 9

Salivary gland neoplasms are a heterogeneous neoplasm group, including mucoepidermoid carcinoma (MECa), adenoid cystic carcinoma (AdCC), and many others.<h4>Objective</h4>We aimed to identify new critical genes of MECa and AdCC using bioinformatics analysis.<h4>Methods</h4>Gene expression profile of GSE153283 was analyzed by the GEO2R online tool to use the DAVID software for their subsequent enrichment. Protein-protein interactions (PPI) were visualized using String. Cytoscape with MCODE plugin ...[more]

PMID: 36146635

Similar Datasets

Project description:BackgroundPulmonary mucoepidermoid carcinoma (PMEC) and pulmonary adenoid cystic carcinoma (PACC) are the two major types of primary salivary gland-type (PSGT) lung cancers. The demographic profile, clinicopathological features, and predictors of survival as an overall group have not been described for PSGT cancers of lung.MethodsIn this study, we analyzed demographic, clinical, and survival data from 1,032 patients (546 PMEC and 486 PACC) who were diagnosed of PSGT lung cancer in the Surveillance, Epidemiology and End Results database from 1973 to 2014.ResultsThe PSGT constituted 0.09% of all lung cancers with age-adjusted incidence rate of 0.07 per 100,000 person-years and change of -32% from 1973 to 2014. The incidence of PMEC was slightly higher than PACC but there were no differences in the age and sex distribution. PACCs (55%) were significantly higher at trachea and main bronchus while PMECs were more common at peripheral lungs (85%). Most of the tumors were diagnosed at an early stage and were low grade irrespective of histology. As compared to PMEC, significantly higher number of patients with PACC underwent radical surgery and received adjuvant radiation. The 1- and 5-year cause-specific survival was 76.6 and 62.8%, respectively. On multivariate analysis, the survival was affected by age at diagnosis, tumor stage, histological grade, period of diagnosis, and surgical resection. The histology showed strong interaction with time and hazard ratio of patients with PACC was significantly worse than patients with PMEC only after 5 years.ConclusionThe incidence of pulmonary PSGT cancer is 7 cases per 10 million population in the United States and is decreasing. There was no difference between demographic profile of patients with PMEC and PACC but pathological features were diverse. The difference in the survival of patients with the two histological types surfaced only after 5 years when survival of patients with PMEC was better than PACC.

Project description:Adenoid cystic carcinoma (AdCC) of the head and neck originates from salivary glands, with high risks of recurrence and metastasis that account for the poor prognosis of patients. The purpose of this research was to identify key genes related to AdCC for further investigation of their diagnostic and prognostic significance. In our study, the AdCC sample datasets GSE36820, GSE59702 and GSE88804 from the Gene Expression Omnibus (GEO) database were used to explore the abnormal coexpression of genes in AdCC compared with their expression in normal tissue. A total of 115 DEGs were obtained by screening with GEO2R and FunRich software. According to functional annotation analysis using Enrichr, these DEGs were mainly enriched in the SOX2, AR, SMAD and MAPK signaling pathways. A protein-protein network of the DEGs was established by the Search Tool for the Retrieval of Interacting Genes (STRING) and annotated through the WEB-based Gene SeT AnaLysis Toolkit (WebGestalt) and was shown to be enriched with proteins involved in cardiac muscle cell proliferation and extracellular matrix organization. A Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that ITGA9, LAMB1 and BAMBI were associated with the PI3K-Akt and TGF-β pathways. Furthermore, 36 potential target miRNAs were identified by the OncomiR and miRNA Pathway Dictionary Database (miRPathDB). In conclusion, SLC22A3, FOXP2, Cdc42EP3, COL27A1, DUSP1 and HSPB8 played critical roles according to the enrichment analysis; ITGA9, LAMB1 and BAMBI were involved in significant pathways according to the KEGG analysis; ST3Gal4 is a pivotal component of the PPI network of all the DEGs obtained; SPARC, COL4A2 and PRELP were highly related to multiple malignancies in pan-cancer research; hsa-miR-29-3p, hsa-miR-132-3p and hsa-miR-708-5p were potential regulators in AdCC. The involved pathways, biological processes and miRNAs have been shown to play significant roles in the genesis, growth, invasion and metastasis of AdCC. In this study, these identified DEGs were considered to have a potential influence on AdCC but have not been studied in this disease. The analysis results promote our understanding of the molecular mechanisms and biological processes of AdCC, which might be useful for targeted therapy or diagnosis.

Dataset Information

Bioinformatic Analysis for Mucoepidermoid and Adenoid Cystic Carcinoma of Therapeutic Targets.

Objective

Methods

Results

Conclusion

Publications

Bioinformatic Analysis for Mucoepidermoid and Adenoid Cystic Carcinoma of Therapeutic Targets.

Similar Datasets

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