Deep learning on tertiary lymphoid structures in hematoxylin-eosin predicts cancer prognosis and immunotherapy response.

These analyses revealed strong correlations across all three internal data sets (all rho >0.89), with highly significant P values (all P values < 0.0001) (Supplementary Fig. 4a–c ).

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Subsequent multivariate analysis, adjusting for age, sex, and TNM staging (depth of invasion, lymph node metastasis and distant metastasis), confirmed that the positive association of TLS ratios with increased overall survival remains statistically significant for TCGA-ESCC, and marginally significant for TCGA-NSCLC and CPTAC-NSCLC (Supplementary Table 4 ).

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