Identification of Metastasis-Associated Genes in Cutaneous Squamous Cell Carcinoma Based on Bioinformatics Analysis and Experimental Validation

Chen, Lang; Liao, Xuan; Jiang, Xiao; Yan, Jianxin; Liang, Jiaji; Liu, Hongwei

doi:10.1007/s12325-022-02276-1

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…Although, interleukin 13 receptor subunit alpha 2 ( IL13RA2 ) has been evidenced to mediate pro-fibrotic TGFb-1 signaling in a colitis model [54] and was here correlated with several pulmonary function tests, its potential implication in pulmonary fibrosis needs to be thoroughly investigated. Other genes unexplored in the lung scaring context include PAPSS2 which has been recently implicated in pro-tumorigenic processes of cutaneous squamous cell carcinoma cells [55] , DCXR whose suppression has been shown to ameliorate renal fibrosis [56] and ACADL which has been evidenced to offer an at least indirect protection against steatosis [57] . All above three genes were here shown to have significant correlations with lung function physiological measurements.…”

Section: Discussionmentioning

confidence: 99%

An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers

Fanidis¹,

Pezoulas²,

Fotiadis³

et al. 2023

Computational and Structural Biotechnology Journal

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Section: Discussionmentioning

confidence: 99%

An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers

Fanidis¹,

Pezoulas²,

Fotiadis³

et al. 2023

Computational and Structural Biotechnology Journal

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“…SCG5 gene encodes a chaperone protein important in neuroendocrine function, which prevents the aggregation of other secreted proteins [46]. Numerous bioinformatics analyses have found that many tumors are closely related to this gene [47]. RPS6KA2 encodes a member of the serine/threonine kinase RSK family.…”

Section: Discussionmentioning

confidence: 99%

Identification and immunological characterization of cuproptosis-related molecular clusters in retinoblastoma

Shu

Ran

Gao

2023

Preprint

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Background: To proposed a novel strategy for retinoblastoma (RB) treatment and study by positing a connection between cuproptosis and immunological changes and the development and incidence of RB. Methods: Using "Retinoblastoma" as the search phrase, two microarray datasets of Retinoblastoma (GSE208143 and GSE97508) were obtained from the GEO database. 42 samples of retinal tissue were collected, comprising 33 samples from Retinoblastoma patients and 9 samples from healthy individuals in the GEO database. Results: We carefully examined the immunological characteristics and differential expression of CRGs in normal and retinoblastoma people for the first time in this study and developed a unique machine learning model based on the selected genes that has the ability to forecast patients with accuracy. Conclusion: Our bioinformatic analysis uncovered the relationship between CRGs and immune cells that have been infiltrated, revealed the significant immune heterogeneity among RB patients with distinct cuproptosis clusters, and created a signature machine learning model based on the chosen genes that could accurately predict the patients.

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Identification and validation of m6A RNA regulatory network in pulpitis

Xu,

Chen,

Zhou

et al. 2023

BMC Oral Health

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Background N6-methyladenosine (m6A) RNA modification regulators play an important role in many human diseases, and its abnormal expression can lead to the occurrence and development of diseases. However, their significance in pulpitis remains largely unknown. Here, we sought to identify and validate the m6A RNA regulatory network in pulpitis. Methods Gene expression data for m6A regulators in human pulpitis and normal pulp tissues from public GEO databases were analyzed. Bioinformatics analysis including Gene ontology (GO) functional, and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed by R package, and Cytoscape software was used to study the role of m6A miRNA-mRNA regulatory network in pulpitis. Quantitative real-time PCR (qRT-PCR) was performed to validate the expression of key m6A regulators in collected human pulpitis specimens. Results Differential genes between pulpitis and normal groups were found from the GEO database, and further analysis found that there were significant differences in the m6A modification-related genes ALKBH5, METTL14, METTL3, METTL16, RBM15B and YTHDF1. And their interaction relationships and hub genes were determined. The hub m6A regulator targets were enriched in immune cells differentiation, glutamatergic synapse, ephrin receptor binding and osteoclast differentiation in pulpitis. Validation by qRT-PCR showed that the expression of methylases METTL14 and METTL3 was decreased, thus these two genes may play a key role in pulpitis. Conclusion Our study identified and validated the m6A RNA regulatory network in pulpitis. These findings will provide valuable resource to guide the mechanistic and therapeutic analysis of the role of key m6A modulators in pulpitis.

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Identification of Metastasis-Associated Genes in Cutaneous Squamous Cell Carcinoma Based on Bioinformatics Analysis and Experimental Validation

Cited by 3 publications

References 45 publications

An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers

An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers

Identification and immunological characterization of cuproptosis-related molecular clusters in retinoblastoma

Identification and validation of m6A RNA regulatory network in pulpitis

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