Association of GFPT2 expression with clinical outcomes in clear cell renal cell carcinoma.

e16543 Background: Progression of clear cell renal cell carcinoma (ccRCC) is driven in part by tumor microenvironment remodeling, including epithelial mesenchymal transition (EMT), stromal activation, and metabolic reprogramming. GFPT2, the rate-limiting enzyme of the hexosamine biosynthesis pathway, has been linked to extracellular matrix remodeling and EMT across cancers and is enriched in high-grade, advanced ccRCC. We hypothesized that GFPT2 expression identifies a microenvironment-associated program linked to adverse clinical outcomes in ccRCC. Methods: We analyzed mRNA expression and clinical outcomes in TCGA-KIRC (n = 498). Survival analyses employed Kaplan-Meier methods and multivariable Cox proportional hazards regression. Pearson correlations quantified GFPT2-microenvironment associations. Outcomes included overall survival (OS) and progression-free survival (PFS). Results: High GFPT2 expression (median cutoff) was associated with significantly worse OS and PFS (log-rank p < 0.001 for both). As a continuous variable, GFPT2 expression conferred markedly inferior OS (HR 1.74, 95% CI 1.49-2.04, p < 0.001) and PFS (HR 1.96, 95% CI 1.66-2.31, p < 0.001) in univariate analysis, with sustained independent prognostic significance after clinical adjustment (OS: HR 1.42, p < 0.001; PFS: HR 1.42, p < 0.001). GFPT2 expression demonstrated robust correlations with EMT effectors (VIM r = 0.29, FN1 r = 0.41, TWIST1 r = 0.29, SNAI1 r = 0.23), stromal collagens (COL1A1 r = 0.51, COL3A1 r = 0.40), and hypoxia signaling (Buffa score r = 0.45). In multivariable models incorporating EMT and stromal markers alongside clinical covariates, GFPT2 retained independent prognostic significance for OS (HR 1.26, 95% CI 1.02-1.54, p = 0.028) with borderline significance for PFS (HR 1.22, 95% CI 0.99-1.49, p = 0.057), indicating partial but incomplete mediation of GFPT2's adverse prognostic impact through microenvironment-associated transcriptional programs. Conclusions: GFPT2 expression independently predicts adverse survival outcomes in ccRCC through mechanisms partially, but not entirely, mediated by EMT- and stroma-related transcriptional reprogramming. These findings position GFPT2 as a candidate biomarker integrating metabolic dysregulation with microenvironment remodeling and warrant investigation as a therapeutic target in high-risk ccRCC. Multivariable Cox Model for Overall Survival (OS) and Progression-Free Survival (PFS). Variable OS: HR (95% CI) p-value PFS: HR (95% CI) p-value GFPT2 1.74 (1.49-2.04) <0.001 1.96 (1.66-2.31) <0.001 GFPT2* 1.42 (1.21-1.65) <0.001 1.42 (1.21-1.66) <0.001 GFPT2§ 1.26 (1.02-1.54) 0.028 1.22 (0.99-1.49) 0.057 GFPT2† 1.37 (1.15-1.64) <0.001 1.37 (1.15-1.64) <0.001 *Adjusted for Age, Sex, and Stage. §Adjusted for Age, Sex, and Stage, and EMT and stromal markers. †Adjusted for Age, Sex, and Stage, and EMT and BUFFA Hypoxia score.

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Journal
Journal of Clinical Oncology
Published
2026-05-28
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.e16543
Primary Topic
Cancer, Hypoxia, and Metabolism
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article
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article

Association of GFPT2 expression with clinical outcomes in clear cell renal cell carcinoma.

Liliana Ascione, Élio Ibrahim, Tarek Baroud, Wassim Daoud Khatoun et al.
Journal of Clinical Oncology
Cancer, Hypoxia, and Metabolism
article

Association of GFPT2 expression with clinical outcomes in clear cell renal cell carcinoma.

Liliana Ascione, Élio Ibrahim, Tarek Baroud, Wassim Daoud Khatoun, Marc Machaalani, Marc Eid, Gaelle Nafeh, Pablo Barrios, Mustafa Saleh, Toni K. Choueiri, David A. Braun, Rashad Nawfal, Weiwei Bian, Wenxin Xu, Sara El Sarout, Jad El Masri, Razane El Hajj Chehade
article en

Abstract

e16543 Background: Progression of clear cell renal cell carcinoma (ccRCC) is driven in part by tumor microenvironment remodeling, including epithelial mesenchymal transition (EMT), stromal activation, and metabolic reprogramming. GFPT2, the rate-limiting enzyme of the hexosamine biosynthesis pathway, has been linked to extracellular matrix remodeling and EMT across cancers and is enriched in high-grade, advanced ccRCC. We hypothesized that GFPT2 expression identifies a microenvironment-associated program linked to adverse clinical outcomes in ccRCC. Methods: We analyzed mRNA expression and clinical outcomes in TCGA-KIRC (n = 498). Survival analyses employed Kaplan-Meier methods and multivariable Cox proportional hazards regression. Pearson correlations quantified GFPT2-microenvironment associations. Outcomes included overall survival (OS) and progression-free survival (PFS). Results: High GFPT2 expression (median cutoff) was associated with significantly worse OS and PFS (log-rank p < 0.001 for both). As a continuous variable, GFPT2 expression conferred markedly inferior OS (HR 1.74, 95% CI 1.49-2.04, p < 0.001) and PFS (HR 1.96, 95% CI 1.66-2.31, p < 0.001) in univariate analysis, with sustained independent prognostic significance after clinical adjustment (OS: HR 1.42, p < 0.001; PFS: HR 1.42, p < 0.001). GFPT2 expression demonstrated robust correlations with EMT effectors (VIM r = 0.29, FN1 r = 0.41, TWIST1 r = 0.29, SNAI1 r = 0.23), stromal collagens (COL1A1 r = 0.51, COL3A1 r = 0.40), and hypoxia signaling (Buffa score r = 0.45). In multivariable models incorporating EMT and stromal markers alongside clinical covariates, GFPT2 retained independent prognostic significance for OS (HR 1.26, 95% CI 1.02-1.54, p = 0.028) with borderline significance for PFS (HR 1.22, 95% CI 0.99-1.49, p = 0.057), indicating partial but incomplete mediation of GFPT2's adverse prognostic impact through microenvironment-associated transcriptional programs. Conclusions: GFPT2 expression independently predicts adverse survival outcomes in ccRCC through mechanisms partially, but not entirely, mediated by EMT- and stroma-related transcriptional reprogramming. These findings position GFPT2 as a candidate biomarker integrating metabolic dysregulation with microenvironment remodeling and warrant investigation as a therapeutic target in high-risk ccRCC. Multivariable Cox Model for Overall Survival (OS) and Progression-Free Survival (PFS). Variable OS: HR (95% CI) p-value PFS: HR (95% CI) p-value GFPT2 1.74 (1.49-2.04) <0.001 1.96 (1.66-2.31) <0.001 GFPT2* 1.42 (1.21-1.65) <0.001 1.42 (1.21-1.66) <0.001 GFPT2§ 1.26 (1.02-1.54) 0.028 1.22 (0.99-1.49) 0.057 GFPT2† 1.37 (1.15-1.64) <0.001 1.37 (1.15-1.64) <0.001 *Adjusted for Age, Sex, and Stage. §Adjusted for Age, Sex, and Stage, and EMT and stromal markers. †Adjusted for Age, Sex, and Stage, and EMT and BUFFA Hypoxia score.

Journal of Clinical OncologyVol. 44(16_suppl)
Harvard University (US), Yale Cancer Center (US), Dana-Farber Cancer Institute (US)
Good health and well-being
Openalex Percentile: Top 7%
Cancer, Hypoxia, and Metabolism
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