To explore the role of autophagy-related differential long non-coding RNA (lncRNA) in the pathogenesis of melanoma, we established a prognostic prediction model for patients with melanoma based on the expression profiles of autophagy-related gene. Based on The Cancer Genome Atlas and GeneCard database, we used single-sample gene set enrichment analysis (ssGSEA), weighted gene co-expression network analysis (WGCNA), uniCOX in R software for COX proportional hazard regression analysis, and enrichment analysis to get an idea of biological processes with autophagy-related genes, which evaluates the relationship between autophagy-related genes and immune cell infiltration in patients with melanoma. The roles of identified lncRNA were evaluated by the risk score based on the results of single factor regression analysis for each lncRNA and on the prognosis for patients obtained from the database. Then, the whole sample was divided into high- and low-risk groups. Survival curve analysis showed that low-risk group had a better prognosis. Enrichment analysis revealed multiple key pathways enriched with lncRNA-associated genes. Analysis of immune cell infiltration revealed differences between high- and low-risk groups. Finally, 3 datasets verified the effect of our model on prognosis. There are important autophagy-related lncRNA in patients with melanoma. Top 6 lncRNA are significantly related to the overall survival rate of patients with melanoma and provide the basis for predicting the prognostic survival of patients.
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References
Lugović-Mihić L, Ćesić D, Vuković P, Novak Bilić G, Šitum M, Špoljar S. Melanoma Development: Current Knowledge on Melanoma Pathogenesis. Acta Dermatovenerol Croat. 2019;27(3):163-168.
Mısır AF, Durmuşlar MC, Zerener T, Gün BD. Primary malignant melanoma. Saudi Med. J. 2016;37(4):446-449. https://doi.org/10.15537/smj.2016.4.15017
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018;68(6):394-424. https://doi.org/10.3322/caac.21492
Guo J, Qin S, Liang J, Lin T, Si L, Chen X, Chi Z, Cui C, Du N, Fan Y, Gu K, Li F, Li J, Li Y, Liang H, Liu J, Lu M, Lu A, Nan K, Niu X, Pan H, Ren G, Ren X, Shu Y, Song X, Tao M, Wang B, Wei W, Wu D, Wu L, Wu A, Xu X, Zhang J, Zhang X, Zhang Y, Zhu H; written; Chinese Society of Clinical Oncology (CSCO) Melanoma Panel. Chinese Guidelines on the Diagnosis and Treatment of Melanoma (2015 Edition). Ann. Transl. Med. 2015;3(21):322. https://doi.org/10.3978/j.issn.2305-5839.2015.12.23
Khattak M, Fisher R, Turajlic S, Larkin J. Targeted therapy and immunotherapy in advanced melanoma: an evolving paradigm. Ther. Adv. Med. Oncol. 2013;5(2):105-18. https://doi.org/10.1177/1758834012466280
Choi AM, Ryter SW, Levine B. Autophagy in human health and disease. N. Engl. J. Med. 2013;368(7):651-662. https://doi.org/10.1056/NEJMra1205406
Onorati AV, Dyczynski M, Ojha R, Amaravadi RK. Targeting autophagy in cancer. Cancer. 2018;124(16):3307-3318. https://doi.org/10.1002/cncr.31335
8 Botti J, Djavaheri-Mergny M, Pilatte Y, Codogno P. Autophagy signaling and the cogwheels of cancer. Autophagy. 2006;2(2):67-73. https://doi.org/10.4161/auto.2.2.2458
Kocaturk NM, Akkoc Y, Kig C, Bayraktar O, Gozuacik D, Kutlu O. Autophagy as a molecular target for cancer treatment. Eur. J. Pharm. Sci. 2019;134:116-137. https://doi.org/10.1016/j.ejps.2019.04.011
Kuma A, Komatsu M, Mizushima N. Autophagy-monitoring and autophagy-deficient mice. Autophagy. 2017;13(10):1619-1628. https://doi.org/10.1080/15548627.2017.1343770
Li YJ, Lei YH, Yao N, Wang CR, Hu N, Ye WC, Zhang DM, Chen ZS. Autophagy and multidrug resistance in cancer. Chin. J. Cancer. 2017;36(1):52. https://doi.org/10.1186/s40880-017-0219-2
Wu L, Zhu L, Li Y, Zheng Z, Lin X, Yang C. LncRNA MEG3 promotes melanoma growth, metastasis and formation through modulating miR-21/E-cadherin axis. Cancer Cell. Int. 2020;20:12. https://doi.org/10.1186/s12935-019-1087-4
Xiao W, Yin A. LINC0638 lncRNA is involved in the local recurrence of melanoma following surgical resection. Oncol Lett. 2019;18(1):101-108. https://doi.org/10.3892/ol.2019.10322
Liu Y, Wu L, Ao H, Zhao M, Leng X, Liu M, Ma J, Zhu J. Prognostic implications of autophagy-associated gene signatures in non-small cell lung cancer. Aging (Albany NY). 2019;11(23):11440-11462. https://doi.org/10.18632/aging.102544
Atem FD, Matsouaka RA, Zimmern VE. Cox regression model with randomly censored covariates. Biom J. 2019 Jul;61(4):1020-1032. https://doi.org/10.1002/bimj.201800275
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Translated from Byulleten’ Eksperimental’noi Biologii i Meditsiny, Vol. 174, No. 10, pp. 493-500, October, 2022
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Dai, C., Kai, W.H. & Pan, X. Differential Expression of Autophagy-Related Long Non-Coding RNA in Melanoma. Bull Exp Biol Med 174, 482–488 (2023). https://doi.org/10.1007/s10517-023-05734-0
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DOI: https://doi.org/10.1007/s10517-023-05734-0