Page 106 - EJMO-9-3

Eurasian Journal of
Medicine and Oncology Novel senescence-based melanoma risk model

lymphocyte (TIL) cell therapy, in patients with advanced knowledge. Contemp Oncol (Pozn). 2015;19(1A):A68-A77.
melanoma after progression on immune checkpoint doi: 10.5114/wo.2014.47136
inhibitors and targeted therapies: Pooled analysis of
consecutive cohorts of the C-144-01 study. J Immunother 17. Cirenajwis H, Ekedahl H, Lauss M, et al. Molecular
Cancer. 2022;10(12):e005755. stratification of metastatic melanoma using gene
expression profiling: Prediction of survival outcome and
doi: 10.1136/jitc-2022-005755
benefit from molecular targeted therapy. Oncotarget.
7. De Visser KE, Joyce JA. The evolving tumor 2015;6(14):12297-12309.
microenvironment: From cancer initiation to metastatic doi: 10.18632/oncotarget.3655
outgrowth. Cancer Cell. 2023;41(3):374-403.
18. Yu X, Cong P, Wei W, Zhou Y, Bao Z, Hou H. Construction
doi: 10.1016/j.ccell.2023.02.016
of prognostic risk model of patients with skin cutaneous
8. Bochenek HF, Pyne DB, McKune AJ, Neale RE, Anforth RM, melanoma based on TCGA-SKCM methylation cohort.
Goldsmith CD. Investigating the impact of exercise on T and Comput Math Methods Med. 2022;2022:4261329.
NK cells in skin cancer: A systematic review. Exerc Immunol
Rev. 2024;30:14-25. doi: 10.1155/2022/4261329
19. Lin X, Hessenow R, Yang S, Ma D, Yang S. A seven-
9. Hibler W, Merlino G, Yu Y. CAR NK cell therapy for the immune-genes risk model predicts the survival and suitable
treatment of metastatic melanoma: Potential & prospects. treatments for patients with skin cutaneous melanoma.
Cells. 2023;12(23):2750.
Heliyon. 2023;9(9):e20234.
doi: 10.3390/cells12232750
doi: 10.1016/j.heliyon.2023.e20234
10. Marzagalli M, Ebelt ND, Manuel ER. Unraveling the 20. Hanahan D. Hallmarks of cancer: New dimensions. Cancer
crosstalk between melanoma and immune cells in the tumor
microenvironment. Semin Cancer Biol. 2019;59:236-250. Discov. 2022;12(1):31-46.
doi: 10.1158/2159-8290.CD-21-1059
doi: 10.1016/j.semcancer.2019.08.002
21. Hernandez-Segura A, Nehme J, Demaria M. Hallmarks of
11. Timar J, Ladanyi A. Molecular pathology of skin melanoma:
Epidemiology, differential diagnostics, prognosis and cellular senescence. Trends Cell Biol. 2018;28(6):436-453.
therapy prediction. Int J Mol Sci. 2022;23(10):5384. doi: 10.1016/j.tcb.2018.02.001
doi: 10.3390/ijms23105384 22. Herranz N, Gil J. Mechanisms and functions of cellular
senescence. J Clin Invest. 2018;128(4):1238-1246.
12. Wang X, Xiong H, Liang D, Chen Z, Li X, Zhang K. The
role of SRGN in the survival and immune infiltrates of doi: 10.1172/JCI95148
skin cutaneous melanoma (SKCM) and SKCM-metastasis 23. Kowald A, Passos JF, Kirkwood TBL. On the evolution of
patients. BMC Cancer. 2020;20(1):378.
cellular senescence. Aging Cell. 2020;19(12):e13270.
doi: 10.1186/s12885-020-06849-7
doi: 10.1111/acel.13270
13. Liang Z, Pan L, Shi J, Zhang L. C1QA, C1QB, and GZMB
are novel prognostic biomarkers of skin cutaneous 24. Marin I, Boix O, Garcia-Garijo A, et al. Cellular senescence
is immunogenic and promotes antitumor immunity. Cancer
melanoma relating tumor microenvironment. Sci Discov. 2023;13(2):410-431.
Rep. 2022;12(1):20460.
doi: 10.1158/2159-8290.CD-22-0523
doi: 10.1038/s41598-022-24353-9f
25. Aging Atlas Consortium. Aging atlas: A Multi-
14. Huang B, Han W, Sheng ZF, Shen GL. Identification of omics database for aging biology. Nucleic Acids Res.
immune-related biomarkers associated with tumorigenesis 2021;49(D1):D825-D830.
and prognosis in cutaneous melanoma patients. Cancer Cell
Int. 2020;20:195. doi: 10.1093/nar/gkaa894
doi: 10.1186/s12935-020-01271-2 26. Saul D, Kosinsky RL, Atkinson EJ, et al. A new gene set
identifies senescent cells and predicts senescence-associated
15. Xu Y, Chen Y, Jiang W, et al. Identification of fatty acid pathways across tissues. Nat Commun. 2022;13(1):4827.
metabolism-related molecular subtype biomarkers and
their correlation with immune checkpoints in cutaneous doi: 10.1038/s41467-022-32552-1
melanoma. Front Immunol. 2022;13:967277.
27. Avelar RA, Ortega JG, Tacutu R, et al. A multidimensional
doi: 10.3389/fimmu.2022.967277 systems biology analysis of cellular senescence in aging and
disease. Genome Biol. 2020;21(1):91.
16. Tomczak K, Czerwinska P, Wiznerowicz M. The cancer
genome atlas (TCGA): An immeasurable source of doi: 10.1186/s13059-020-01990-9

Volume 9 Issue 3 (2025) 98 doi: 10.36922/ejmo.8574