. 2022 Sep 22;2022:3261300.
doi: 10.1155/2022/3261300.
eCollection 2022.
Affiliations
Item in Clipboard
Evid Based Complement Alternat Med.
.
Abstract
Based on the fact that very little was found in the literature on the question of potential molecules and mechanism for high risk of cancer in patients with psoriasis, this study was designed and performed based on bioinformatics analysis including WGCNA. The most striking result to emerge from the data is that BUB1B/hsa-miR-130a-3p axis, closely related to the development of psoriasis, also plays a remarkable role in multiple cancer development. The expression patterns of hsa-miR-130a-3p were found significantly changed in multiple tumors, which was also associated with prognosis. Additionally, hsa-miR-130a-3p was downregulated in lesion skin of psoriasis, but there was no difference in blood between psoriasis patients and normal controls. Circulating has-miR-130a-3p was found to have a higher level of blood in multiple tumor patients, suggesting that hsa-miR-130a-3p has the potential to be a blood biomarker for cancer risk assessment in patients with psoriasis.
Copyright © 2022 Xiaoxia Ding et al.
Conflict of interest statement
The authors declare that there are no conflicts of interest.
Figures

Flow chart.
Figure 1

Figure 2
Differentially expressed genes (DEGs) exploring. (a) Box plot before batch effect is removed. (b) Box plot before batch effect is removed. (c) Volcano plot of DEGs from PP-NN set. (d) Volcano plot of DEGs from PP-PN set. (e) Heatmap plot of top 50 DEGs from PP-NN set. (f) Heatmap plot of top 50 DEGs from PP-NN set. (g) Venn plot of overlapped DEGs between 2 sets. (PP: lesion skin from psoriasis patients; PN: no-lesion skin from psoriasis patients; NN: normal skin from normal controls).

Figure 3
The result of WGCNA. (a) The lowest power for scale independence. (b) Repeated hierarchical clustering tree. (c) The associations between clinic traits and the modules. (d) Scatter plot of GS and MM correlation between turquoise module and PP samples. (e) Venn plot of 697 hub genes from turquoise module and overlapped DEGs from the above 2 different comparisons.

Figure 4
Further analysis of hub DEGs. (a) Clusters from MCODE in Cytoscape. (b) Overlapped genes of 5 different methods from CytoHubba plugin in Cytoscape. (c) Expression pattern of 4 overlapped genes in merged dataset (GSE13355 and GSE14905). (d) Expression pattern of 4 overlapped genes in GSE78097. (e) Expression pattern of 4 overlapped genes in GSE55201.

Figure 5
Differentially expressed miRNAs (DEmiRNAs) exploring and analysis. (a) Volcano plot of DEmiRNAs from PP-NN set. (b) Volcano plot of DEmiRNAs from PP-PN set. (c) Venn plot of DEmiRNAs from the above 2 comparisons. (d) Results of disease enrichment analysis of overlapped DEmiRNAs from 2 sets using miEAA. (e) Results of KEGG enrichment analysis of overlapped DEmiRNAs from 2 sets using mirPath. (f) Upset plot of overlapped DEmiRNAs and predicted miRNAs targeting BUB1B using different online tools. (g and h) Expression pattern of hsa-miR-130a-3p in GSE142582 (g) and GSE55515 (h). Results of diseases enrichment analysis (i) and KEGG enrichment analysis (j) of hsa-miR-130a-3p using CancerMIRNome.

Figure 6
BUB1B expression pattern in pan-cancer; RNA expression pattern between normal and tumor samples (a) as well as paired tumor and normal tissues (b); protein expression pattern in pan-cancer using HPA database.

Figure 7
hsa-miR-130a-3p expression pattern in pan-cancer between normal and tumor samples ((a) figure from CancerMIRNome; (b) download dataset from TCGA) as well as paired tumor and normal tissues (c).

Figure 8
Association between the hsa-miR-130a-3p expression and OS in cancer patients. (a) A forest plot of hazard ratios of hsa-miR-130a-3p in 32 types of tumors. (b) Kaplan-Meier survival curves of OS for patients stratified by the different expressions of hsa-miR-130a-3p.

Figure 9
Correlations between the BUB1B and hsa-miR-130a-3p expression and the main pathological stages, including stage I, stage II, stage III, and stage IV.

Figure 10
Forest plot and ROC curve of hsa-miR-130a-3p expression in pan-cancer.

Figure 11
Correlations of coexpression for BUB1B/hsa-miR-130a-3p in pan-cancer.
Similar articles
-
Circular RNA hsa_circ_0054537 sponges miR-130a-3p to promote the progression of renal cell carcinoma through regulating cMet pathway.
Gene. 2020 Sep 5;754:144811. doi: 10.1016/j.gene.2020.144811. Epub 2020 May 25.
Gene. 2020.PMID: 32464246
-
Hsa_circRNA_102610 upregulation in Crohn’s disease promotes transforming growth factor-β1-induced epithelial-mesenchymal transition via sponging of hsa-miR-130a-3p.
World J Gastroenterol. 2020 Jun 14;26(22):3034-3055. doi: 10.3748/wjg.v26.i22.3034.
World J Gastroenterol. 2020.PMID: 32587447
Free PMC article. -
Blood microRNA expressions in patients with mild to moderate psoriasis and the relationship between microRNAs and psoriasis activity.
An Bras Dermatol. 2020 Nov-Dec;95(6):702-707. doi: 10.1016/j.abd.2020.07.001. Epub 2020 Aug 5.
An Bras Dermatol. 2020.PMID: 32811699
Free PMC article. -
Potential diagnostic and prognostic value and regulatory relationship of long noncoding RNA CCAT1 and miR-130a-3p in clear cell renal cell carcinoma.
Cancer Cell Int. 2021 Jan 22;21(1):68. doi: 10.1186/s12935-021-01757-7.
Cancer Cell Int. 2021.PMID: 33482824
Free PMC article. -
Knockdown of lncRNA MFI2-AS1 inhibits lipopolysaccharide-induced osteoarthritis progression by miR-130a-3p/TCF4.
Life Sci. 2020 Jan 1;240:117019. doi: 10.1016/j.lfs.2019.117019. Epub 2019 Oct 31.
Life Sci. 2020.PMID: 31678554
Review.
References
Dies ist ein automatisch übersetzter Artikel. Er kann nur einer groben Orientierung dienen. Das Original gibt es hier: psoriasis