Deep learning reveals cuproptosis features assist in predict prognosis and guide immunotherapy in lung adenocarcinoma.

We then examined the number of neoantigens in the high- and low-risk subgroups and showed no considerable difference in the number of Indel neoantigens and SNV neoantigens between the two groups, but there was an increasing trend in the high-risk group (P > 0.05, Figures 6C, D ).

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Results Identification of radiotherapy-associated cuproptosis features We first assessed the altered cuproptosis pathway activity due to radiotherapy using ssGSEA, which showed a trend of increased cuproptosis pathway activity after radiotherapy (P = 0.31, Figure 1A ).

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