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©The Author(s) 2022.
World J Clin Cases. Apr 16, 2022; 10(11): 3334-3351
Published online Apr 16, 2022. doi: 10.12998/wjcc.v10.i11.3334
Published online Apr 16, 2022. doi: 10.12998/wjcc.v10.i11.3334
Figure 1 Co-expression network construction using 15 lncRNAs with Cytoscape.
A: Cytoscape network; B: Sankey diagram for lncRNA visualization.
Figure 2 Survival analysis of 15 autophagy-associated lncRNAs.
A: AC004687.1; B: AC011374.2; C: AC018553.1; D: AC068282; E: AC090948.3; F: AC242842.1; G: AL133371.2; H: DBH−AS1; I: HLA−DQB1−AS1; J: ITGB2−AS1; K: LINC00324; L: LINC00520; M: USP30−AS1; N: PCED1B−AS1; O: LINC01943. (Red and blue represent the high and low expression of the lncRNAs in melanoma patients, respectively).
Figure 3 Prognostic value of the 15-lncRNA risk model for melanoma.
A: Survival rate analysis; B: Representative risk curve showing the risk scores; C: Scatter diagram of survival state. Green dots: Surviving; red dots: Dead; D: Representative heatmap showing the expression of indicated lncRNAs in different groups. Green and red represent low and high expression, respectively.
Figure 4 Melanoma risk model evaluation.
A and B: Univariate and multivariate Cox regression analyses for prognostic risk scores and different clinical features; C: Receiver operating characteristic curves for risk scores and different clinical characteristics (age, gender, and TMN stage).
Figure 5 Gene Set Enrichment Analysis for functional enrichment analysis of 15 autophagy-related lncRNAs.
Among them, Gene Ontology, KEGG pathway, and immune signal were significantly enriched in the low-risk group, while the KEGG pathway was slightly enriched in the high-risk group. A: Enrichment plot: GOBP_DEFENSE_RESPONSE_TO_VIRUS; B: GOBP_INTERLEUKIN_8_PRODUCTION; C: GOBP_RESPONSE_TO_INTERFERON_GAMMA; D: GOBP_RESPONSE_TO_VIRUS; E: KEGG_ANTIGEN_PROCESSING_AND_PRESENTATION; F: KEGG_GLYOXYLATE_AND_DICARBOXYLATE_METABOLISM; G: KEGG_LEISHMANIA_INFECTION; H: KEGG_SYSTEMIC_LUPUS_ERYTHEMATOSUS; I: KEGG_TOLL_LIKE_RECEPTOR_SIGNALING_PATHWAY.
- Citation: Qiu Y, Wang HT, Zheng XF, Huang X, Meng JZ, Huang JP, Wen ZP, Yao J. Autophagy-related long non-coding RNA prognostic model predicts prognosis and survival of melanoma patients. World J Clin Cases 2022; 10(11): 3334-3351
- URL: https://www.wjgnet.com/2307-8960/full/v10/i11/3334.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i11.3334