Novel long noncoding RNA (lncRNA) panel as biomarkers for prognosis in lung squamous cell carcinoma via competitive endogenous RNA (ceRNA) network analysis

Zhang, Tao; Deng, Lei; Ji, Ying; Cheng, Guowei; Su, Dan; Qiu, Bin

doi:10.21037/tcr-20-2410

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…A key regulatory relationship between low expression of hsa-miR-3176 and high expression of SLC6A12 was found in terms of GABAergic synapses and the synaptic vesicle cycle, indicating that hsa-miR-3176 and SLC6A12 may play a vital role in AD. To date, rarely previous study has implicated hsa-miR-3176 in cancer or in any other field ( Zhang et al, 2021 ). GABAergic neurotransmission and modulation of GABAergic function play primary roles in AD therapy ( Li et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Exploration of novel biomarkers in Alzheimer’s disease based on four diagnostic models

Zou

Pan

et al. 2023

Front. Aging Neurosci.

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BackgroundDespite tremendous progress in diagnosis and prediction of Alzheimer’s disease (AD), the absence of treatments implies the need for further research. In this study, we screened AD biomarkers by comparing expression profiles of AD and control tissue samples and used various models to identify potential biomarkers. We further explored immune cells associated with these biomarkers that are involved in the brain microenvironment.MethodsBy differential expression analysis, we identified differentially expressed genes (DEGs) of four datasets (GSE125583, GSE118553, GSE5281, GSE122063), and common expression direction of genes of four datasets were considered as intersecting DEGs, which were used to perform enrichment analysis. We then screened the intersecting pathways between the pathways identified by enrichment analysis. DEGs in intersecting pathways that had an area under the curve (AUC) > 0.7 constructed random forest, least absolute shrinkage and selection operator (LASSO), logistic regression, and gradient boosting machine models. Subsequently, using receiver operating characteristic curve (ROC) and decision curve analysis (DCA) to select an optimal diagnostic model, we obtained the feature genes. Feature genes that were regulated by differentially expressed miRNAs (AUC > 0.85) were explored further. Furthermore, using single-sample GSEA to calculate infiltration of immune cells in AD patients.ResultsScreened 1855 intersecting DEGs that were involved in RAS and AMPK signaling. The LASSO model performed best among the four models. Thus, it was used as the optimal diagnostic model for ROC and DCA analyses. This obtained eight feature genes, including ATP2B3, BDNF, DVL2, ITGA10, SLC6A12, SMAD4, SST, and TPI1. SLC6A12 is regulated by miR-3176. Finally, the results of ssGSEA indicated dendritic cells and plasmacytoid dendritic cells were highly infiltrated in AD patients.ConclusionThe LASSO model is the optimal diagnostic model for identifying feature genes as potential AD biomarkers, which can supply new strategies for the treatment of patients with AD.

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Section: Discussionmentioning

confidence: 99%

Exploration of novel biomarkers in Alzheimer’s disease based on four diagnostic models

Zou

Pan

et al. 2023

Front. Aging Neurosci.

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“…Tumor suppression, cell proliferation regulation, and apoptosis [236] downregulated: blood plasma-derived EVs [153] miR-3176 AR, PTEN Promotion of tumorigenesis and tumor progression [237] downregulated: blood plasma-derived EVs [153] miR-3177-3p not yet studied, but 65 predicted targets in [234] to be studied downregulated: blood plasma-derived EVs [153] miR-3605-5p SCABR2 Adipocyte lipolysis regulation [238] downregulated: blood plasma-derived EVs [153] miR-3619-3p Wnt/β-catenin signaling Cell migration and invasion promotion [239] upregulated: blood plasma-derived EVs [153] miR-3911 not yet studied Possible sALS biomarker [142] downregulated: blood plasma-derived EVs [153] miR-3940-3p BIRC5, IL-2Ry, KCNA5, Integrin α6…”

Section: Stat3 Mmp2 Egfr/akt2/ccnd1 Signalingmentioning

confidence: 99%

Recent Advances in Extracellular Vesicles in Amyotrophic Lateral Sclerosis and Emergent Perspectives

Afonso

Cavaleiro

Valero

et al. 2023

Cells

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Amyotrophic lateral sclerosis (ALS) is a severe and incurable neurodegenerative disease characterized by the progressive death of motor neurons, leading to paralysis and death. It is a rare disease characterized by high patient-to-patient heterogeneity, which makes its study arduous and complex. Extracellular vesicles (EVs) have emerged as important players in the development of ALS. Thus, ALS phenotype-expressing cells can spread their abnormal bioactive cargo through the secretion of EVs, even in distant tissues. Importantly, owing to their nature and composition, EVs’ formation and cargo can be exploited for better comprehension of this elusive disease and identification of novel biomarkers, as well as for potential therapeutic applications, such as those based on stem cell-derived exosomes. This review highlights recent advances in the identification of the role of EVs in ALS etiopathology and how EVs can be promising new therapeutic strategies.

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From diagnosis to therapy: The transformative role of lncRNAs in eye cancer management

Hazazi,

AlShehah,

Khan

et al. 2024

Pathology - Research and Practice

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Novel long noncoding RNA (lncRNA) panel as biomarkers for prognosis in lung squamous cell carcinoma via competitive endogenous RNA (ceRNA) network analysis

Cited by 5 publications

References 31 publications

Exploration of novel biomarkers in Alzheimer’s disease based on four diagnostic models

Exploration of novel biomarkers in Alzheimer’s disease based on four diagnostic models

Recent Advances in Extracellular Vesicles in Amyotrophic Lateral Sclerosis and Emergent Perspectives

From diagnosis to therapy: The transformative role of lncRNAs in eye cancer management

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