Predicting ability of the obtained signature in clinical subgroups

AS Amit Sharma
YW Yulu Wang
FG Fangfang Ge
PC Peng Chen
TD Tikam Chand Dakal
MC Maria Stella Carro
IS Ingo G. H. Schmidt-Wolf
JM Jarek Maciaczyk
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In this particular section, 153 samples with available m6A-autophagy-lncRNAs gene expression data and survival data were analyzed. Clinical features were stratified into subgroups based on age (< 50 vs. age > 50 years old), gender (female vs. male), IDH (wild-type vs. mutated), and MGMT (methylated vs. unmethylated). KM curves were utilized to assess the predictive ability of the obtained signature in each clinical subgroup.

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