Glycolysis reprogramming predicts poor prognosis and drives therapy resistance via CLN6 in lethal prostate cancer

Lethal prostate cancer is marked by tumor heterogeneity and resistance to androgen receptor signaling inhibitors (ARSIs). In this study we identify glycolysis as a driver of disease progression and therapy resistance. Using single-sample gene set enrichment analysis (ssGSEA) on the SU2C cohort, we demonstrate that elevated glycolysis activity is associated with poor progression-free and overall survival. The glycolysis-based prognostic score (GLY score) is derived from the HALLMARK_GLYCOLYSIS gene set which includes CLN6, SDHC, B4GALT2, RPE, NANP, and KIF20A, via LASSO-Cox regression. The GLY score effectively stratifies risk in the SU2C and WDCT cohorts, with higher scores predicting worse outcomes and increased SYNE1 mutation frequency. Pan-cancer analysis across TCGA datasets confirm its prognostic value. In vitro, enzalutamide-resistant prostate cancer cell lines exhibit heightened glycolysis, and 2-DG inhibition reverses this effect, restoring drug sensitivity. CLN6 knockdown reduces glycolytic activity and cell proliferation. The GLY score offers robust prognostic value, and CLN6 represents a promising therapeutic target for precision medicine in lethal prostate cancer.