Research Article
Construction of Glycolytic Regulator Gene Signature to Predict the Prognosis and Tumor Immune Cell Infiltration Levels for Prostate Cancer
Figure 4
Screening and verification of prognosis-related DEGs. (a) LASSO regression with tenfold cross-validation was used to obtain the minimum partial likelihood deviance ()-derived optimal lambda value. (b) 14 DEGs were significantly related to progression-free survival of PCa. (c) TPI1, (d) ALDOA, (e) ENO1, (g) LDHA, and (i) PKM were positively related to longer progression-free survival time. (f) LDHB and (h) HK2 were positively related to shorter progression-free survival time.
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