Dataset Information

Comprehensive Analysis to Identify LINC00511-hsa-miR-625-5p-SEMA6A Pathway Fuels Progression of Skin Cutaneous Melanoma.

ABSTRACT:

Objective

Skin cutaneous melanoma (SKCM) is a highly lethal malignancy that poses a significant threat to human health. Recent research has shown that competing endogenous RNA (ceRNA) regulatory networks play a critical role in the development and progression of various types of cancer, including SKCM. The objective of this study is to investigate the ceRNA regulatory network associated with the transmembrane protein semaphorin 6A (SEMA6A) and identify the underlying molecular mechanisms involved in SKCM.

Methods

Expression profiles of four RNAs, including pseudogenes, long non-coding RNAs, microRNAs, and mRNAs were obtained from The Cancer Genome Atlas database. The analysis was completed by bioinformatics methods, and the expression levels of the selected genes were verified by cell experiments.

Results

Bioinformatics analysis revealed that the LINC00511-hsa-miR-625-5p-SEMA6A ceRNA network was associated with SKCM prognosis. Furthermore, immune infiltration analysis indicated that the LINC00511-hsa-miR-625-5p-SEMA6A axis may have an impact on changes in the tumor immune microenvironment of SKCM.

Conclusion

The LINC00511-hsa-miR-625-5p-SEMA6A axis could be a promising therapeutic target and a prognostic biomarker for SKCM.

SUBMITTER: Chen G

PROVIDER: S-EPMC10332930 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Comprehensive Analysis to Identify LINC00511-hsa-miR-625-5p-SEMA6A Pathway Fuels Progression of Skin Cutaneous Melanoma.

Chen Guanghua G Yan Jia J Fu Zhou Z

International journal of genomics 20230703

<h4>Objective</h4>Skin cutaneous melanoma (SKCM) is a highly lethal malignancy that poses a significant threat to human health. Recent research has shown that competing endogenous RNA (ceRNA) regulatory networks play a critical role in the development and progression of various types of cancer, including SKCM. The objective of this study is to investigate the ceRNA regulatory network associated with the transmembrane protein semaphorin 6A (SEMA6A) and identify the underlying molecular mechanisms ...[more]

PMID: 37434634

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Project description:ObjectiveSkin cutaneous melanoma(SKCM) is the most severe, and complex disease of all skin cancers. The molecular mechanisms of this cancer progression are not well understood.MethodsGEPIA online database was used to validate the differentially expressed genes from two GEO datasets. The prognostic value was calculated by the Kaplan-Meier method. RT-qPCR verified the expression of TUBB4A in SKCM cell line, and the immunohistochemistry of TUBB4A in SKCM and normal skin tissues were gained from Human Protein Atlas. Seven target prediction databases predicted potential microRNAs(miRNAs), and upstream long non-coding RNAs(lncRNAs) were predicted by starBase. The co-expressed gene of TUBB4A was obtained using the two online analysis sites UALCAN and starBase. These co-expressed genes were performed by enrichment analysis, and immune infiltration result was obtained by the TIMER2 online database. The receiver operating characteristic( ROC) curve was applied to evaluate the diagnostic value of TUBB4A in the SKCM and normal skin group. A new nomogram about TUBB4A was constructed to forecast the survival rate of SKCM patients at 1, 3, and 5 years.ResultsFirstly, we found that DLL3 and TUBB4A were significantly higher expressed in skin cutaneous melanoma than normal skin. Subsequently, by analyzing progress-free interval(PFI), diseasespecific survival(DSS), and disease-free survival(DFS), only TUBB4A was the most potent gene for inhibiting shin cutaneous melanoma progression. In gene ontology(GO)/ kyoto encyclopedia of genes and genomes(KEGG) analysis, TUBB4A may play a key role in the progression of skin cutaneous melanoma by regulating mitochondrial function and affecting cellular metabolism, possibly related to the immune infiltration of CD4+Th1 cells and NK cells. The upstream non-coding RNA(ncRNA) acts through the SNHG16-hsa-let-7b-5p-TUBB4A axis.ConclusionIn conclusion, we elucidated the regulatory role of the SNHG16-hsa-let-7b-5p-TUBB4A axis in the progression of skin cutaneous melanoma by modulating mitochondrial function to affect cellular metabolism. TUBB4A may be a promising diagnostic biomarker and therapeutic target for cutaneous skin melanoma.

Project description:Skin cutaneous melanoma (SKCM) has a low early detection rate and a high mortality rate. There are many problems such as side effects and drug resistance in existing therapeutic drugs. Current studies have confirmed that SKCM pathogenesis-related genes promote the invasion and metastasis of cutaneous melanoma, but their roles in the tumor microenvironment (TME) remain unclear. Network pharmacology provides new opportunities for drug repurposing and repositioning, and is a fast, safe, and inexpensive drug discovery method to find new drugs for the treatment of SKCM. In this study, based on 3 databases (KEGG, OMIM, and Genotype) to obtain SKCM-related genes, and TCGA SKCM dataset, SKCM differential genes in GSE3189 and GSE46517 were intersected to identify SKCM pathogenesis-related differential genes, and the differential genes were immune infiltration and analysis, For survival analysis, a prognostic nomogram risk model was constructed based on the results of multivariate Cox regression analysis for risk stratification and prognosis prediction, then focused on the differential expression of ZC3H12A and its effect on TME. Finally, the protein interaction network method was used to quantify the similarity between 684 drug targets and skin melanoma, and to screen out drugs similar to skin melanoma. Based on 3 databases of KEGG, OMIM, and Genotype, 294 SKCM-related genes and 18 SKCM pathogenesis-related differential genes were obtained, and 18 SKCM pathogenesis-related differential genes were significantly correlated with TME. The constructed prognostic nomogram risk model predicted performance better and provided valuable information for immunotherapy. Multivariate Cox regression analysis and K-M analysis showed that ZC3H12A was a differentially expressed gene affecting the prognosis of SKCM and promoted the infiltration of anti-tumor immune cells CD8 + T cells, B cells, and DC cells. Based on the analysis of the protein interaction network method, 43 drugs were found to have high potential in the treatment of SKCM, and the literature search of these 43 drugs was carried out, and 21 drugs were found to have experimental verification for the treatment of SKCM. Taken together, the differential genes associated with the pathogenesis of SKCM have important roles in the tumor immune microenvironment, clinicopathological features, and prognosis, especially ZC3H12A has a potential role in identifying early SKCM patients. At the same time, it provides a new strategy for the drug development of SKCM and provides a basis for the reuse of SKCM drugs.

Dataset Information

Comprehensive Analysis to Identify LINC00511-hsa-miR-625-5p-SEMA6A Pathway Fuels Progression of Skin Cutaneous Melanoma.

Objective

Methods

Results

Conclusion

Publications

Comprehensive Analysis to Identify LINC00511-hsa-miR-625-5p-SEMA6A Pathway Fuels Progression of Skin Cutaneous Melanoma.

Similar Datasets

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