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



            compared to Cluster 1, showed lower risk scores. To assess   Author contributions
            the reliability of the model, both an internal validation set
            and external datasets (GSE65904 and GSE19234) from the   Conceptualization: Lanlan Liu, Yunjin Xie, Mingzhu Yin
            GEO database were used. In both datasets, stratification of   Formal analysis: Yiting Feng, Lanlan Liu
            patients based on risk scores calculated by the risk model,   Investigation: Yiting Feng, Lanlan Liu, Yunjin Xie
                                                               Methodology: Lanlan Liu, Yunjin Xie
            along with immune profile analysis using CIBERSORT,   Writing–original draft: Yiting Feng, Yunjin Xie
            revealed that the low-risk group was characterized by an   Writing–review & editing: Yiting Feng, Lanlan Liu,
            immunoactivated microenvironment, which was associated   Mingzhu Yin
            with better prognosis. These results indicate that the risk
            score not only predicts survival but also reflects the immune   Ethics approval and consent to participate
            activation status of  the  TME,  providing  a  potential link
            between senescence-related gene expression and immune-  Not applicable.
            mediated tumor control. The robust performance of the risk   Consent for publication
            model across multiple datasets highlights its potential utility
            in  clinical  practice.  By  stratifying  melanoma  patients  into   Not applicable.
            distinct risk categories, the model could guide personalized
            treatment strategies, such as identifying high-risk patients   Availability of data
            who  could  benefit  from  more  aggressive  therapies  or   The RNA-seq data and clinical information such as stage,
            immunotherapy combinations. Furthermore, integrating   T stage, N stage, M stage, gender, age, OS, and OS time
            this risk model with other molecular and clinical biomarkers   of TCGA SKCM were downloaded from the UCSC Xena
            could enhance its predictive accuracy and facilitate the   database (https://xenabrowser.net/datapages/). The raw
            development of precision medicine approaches in melanoma.  signal intensity values and survival data of GSE65904 were
                                                               obtained from the (GEO, https://www.ncbi.nlm.nih.gov/
            5. Conclusion                                      geo/). The aging-related genes were curated from previous
            This study highlights the significant prognostic value of   studies. 25-27
            senescence-related genes in SKCM. The developed risk   References
            model, validated by both internal and external datasets,
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            Acknowledgments                                       JAMA Dermatol. 2022;158(5):495-503.

            None.                                                 doi: 10.1001/jamadermatol.2022.0160
            Funding                                            3.   Zeng H, Zheng R, Sun K, et al. Cancer survival statistics in
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            This work was supported in part by General project of   J Natl Cancer Cent. 2024;4(3):203-213.
            Chongqing Joint Fund of Science and Technology (Grant      doi: 10.1016/j.jncc.2024.06.005
            No. CSTB2024NSCQ-LMX0016) [Y.X.]; Chongqing        4.   Kalaora S, Nagler A, Wargo JA, Samuels Y. Mechanisms of
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            Conflict of interest                                  doi: 10.1038/s41568-022-00442-9

            Mingzhu Yin is an Editor in Chief of this journal but was   5.   Long GV, Swetter SM, Menzies AM, Gershenwald  JE,
            not in any way involved in the editorial and peer-review   Scolyer   RA.  Cutaneous  melanoma.  Lancet.
                                                                  2023;402(10400):485-502.
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            Separately, other authors declared that they have no known      doi: 10.1016/S0140-6736(23)00821-8
            competing financial interests or personal relationships that   6.   Chesney J, Lewis KD, Kluger H, et al. Efficacy and safety
            could have influenced the work reported in this paper.  of lifileucel, a one-time autologous tumor-infiltrating


            Volume 9 Issue 3 (2025)                         97                              doi: 10.36922/ejmo.8574
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