Research Paper Advance Articles

Precision prognostication in breast cancer: unveiling a long non-coding RNA-based model linked to disulfidptosis for tailored immunotherapeutic strategies

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Figure 11. Comparative analysis of somatic mutation rates and influencing factors in high and low-risk groups. (A, B) Comprehensive assessment was undertaken to discern disparities in somatic mutations between the high and low-risk groups. (C) Observable distinctions in tumor mutation burden (TMB) were noted between the high and low-risk groups, signifying variations in the mutational landscape. (D) Investigation into the relationship between TMB and risk scores yielded insights into the connection between mutational burden and breast cancer risk. (E) Examination of the correlation between risk scores and cancer stem cells (CSCs) provided illumination on the potential involvement of CSCs in breast cancer risk. (F) Comparative analysis of survival curves over time between high and low tumor mutation burdens elucidated the impact of mutational burden on patient survival. (G) Survival curves over time were scrutinized for different combinations of tumor mutation burdens and risk scores, emphasizing the synergistic effect of mutational burden and risk scores on patient prognosis.