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. 2023 Jul 11;14:1229233. doi: 10.3389/fphar.2023.1229233

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Copyright © 2023 Qi, Chen, Wang, Yang, Zhang and Li.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Construction and validation of senescence score. (A) The alluvial diagram illustrating the relationships within senescence-related clusters, subtypes, scores and survival status. (B) Box plots showing senescence scores of different senescence-related clusters. (C) Box plots showing tumor mutation burden (TMB) within low and high senescence scores. (D–F) Kaplan-Meier analysis of validation for the prognosis role of senescence scores in TCGASARC, GSE39055 and GSE176307 cohorts. (G) The scores of tumor microenvironment (TME) between low and high senescence scores based on ESTIMATE algorithm. (H) The correlation analysis of senescence scores, senescence-related subtypes and TMB. (I) The table of pie plots showing the clinical characteristics within low and high senescence scoring cohorts. (J) Correlational analysis between senescence scores with immune cell signatures. (K) The forest plot showing the multivariate Cox regression analysis of senescence scoring model and clinical characteristics.