Differential Expression of Glucose Transporters and Hexokinases in Prostate Cancer with a Neuroendocrine Gene Signature: A Mechanistic Perspective for F-18-FDG Imaging of PSMA-Suppressed Tumors
JOURNAL OF NUCLEAR MEDICINE
Authors: Bakht, Martin K.; Lovnicki, Jessica M.; Tubman, Janice; Stringer, Keith F.; Chiaramonte, Jonathan; Reynolds, Michael R.; Derecichei, Iulian; Ferraiuolo, Rosa-Maria; Fifield, Bre-Anne; Lubanska, Dorota; Oh, So Won; Cheon, Gi Jeong; Kwak, Cheol; Jeong, Chang Wook; Kang, Keon Wook; Trant, John F.; Morrissey, Colm; Coleman, Ilsa M.; Wang, Yuzhuo; Ahmadzadehfar, Hojjat; Dong, Xuesen; Porter, Lisa A.
Abstract
Although the incidence of de novo neuroendocrine prostate cancer (PC) is rare, recent data suggest that low expression of prostate-specific membrane antigen (PSMA) is associated with a spectrum of neuroendocrine hallmarks and androgen receptor (AR) suppression in PC. Previous clinical reports indicate that PCs with a phenotype similar to neuroendocrine tumors can be more amenable to imaging by F-18-FDG than by PSMA-targeting radioligands. In this study, we evaluated the association between neuroendocrine gene signature and F-18-FDG uptake-associated genes including glucose transporters (GLUTs) and hexokinases, with the goal of providing a genomic signature to explain the reported F-18-FDG avidity of PSMA-suppressed tumors. Methods: Data-mining approaches, cell lines, and patient-derived xenograft models were used to study the levels of 14 members of the SLC2A family (encoding GLUT proteins), 4 members of the hexokinase family (genes HK1-HK3 and GCK), and PSMA (FOLH1 gene) after AR inhibition and in correlation with neuroendocrine hallmarks. Also, we characterize a neuroendocrine-like PC (NELPC) subset among a cohort of primary and metastatic PC samples with no neuroendocrine histopathology. We measured glucose uptake in a neuroendocrine-induced in vitro model and a zebrafish model by nonradioactive imaging of glucose uptake using a fluorescent glucose bioprobe, GB2-Cy3. Results: This work demonstrated that a neuroendocrine gene signature associates with differential expression of genes encoding GLUT and hexokinase proteins. In NELPC, elevated expression of GCK (encoding glucokinase protein) and decreased expression of SLC2A12 correlated with earlier biochemical recurrence. In tumors treated with AR inhibitors, high expression of GCK and low expression of SLC2A12 correlated with neuroendocrine histopathology and PSMA gene suppression. GLUT12 suppression and upregulation of glucokinase were observed in neuroendocrine-induced PC cell lines and patient-derived xenograft models. A higher glucose uptake was confirmed in low-PSMA tumors using a GB2-Cy3 probe in a zebrafish model. Conclusion: A neuroendocrine gene signature in neuroendocrine PC and NELPC associates with a distinct transcriptional profile of GLUTs and hexokinases. PSMA suppression correlates with GLUT12 suppression and glucokinase upregulation. Alteration of F-18-FDG uptake-associated genes correlated positively with higher glucose uptake in AR- and PSMA-suppressed tumors. Zebrafish xenograft tumor models are an accurate and efficient preclinical method for monitoring nonradioactive glucose uptake.
Alternative splicing regulation by the androgen receptor in prostate cancer cells
JOURNAL OF STEROID BIOCHEMISTRY AND MOLECULAR BIOLOGY
Authors: Germain, Lucas; Lafront, Camille; Beaudette, Jolyane; Poluri, Raghavendra Tejo Karthik; Weidmann, Cindy; Audet-Walsh, Etienne
Abstract
The androgen receptor (AR) is a transcription factor that drives prostate cancer (PCa) by modulating the expression of thousands of genes to promote proliferation and survival and to reprogram metabolism. However, how AR activation controls alternative splicing is mostly unknown. Our objective was to define its role in the transcriptome-wide regulation of alternative splicing. Three human PCa models-LNCaP, LAPC4, and 22Rv1 cells-were treated with and without androgens, and RNA was purified for deep-sequencing analyses (RNA-seq). Several bioinformatic tools were then used to study alternative splicing. We demonstrate that in the absence of androgens, alternative splicing complexity is similar among AR-positive PCa cells, with 48 % of all transcripts having various levels of alternative splicing. We also describe alternative splicing differences among cell lines, such as specific splicing of AR, REST, TSC2, and CTBP1. Interestingly, AR activation changed the alternative splicing of thousands of genes in all the PCa cell lines tested. Overlap between AR-sensitive alternative splicing events revealed that genes linked to cell metabolism are major targets for this specific modulation. These genes encode metabolic enzymes such as the prostate-specific membrane antigen, encoded by FOLH1, and the malate dehydrogenase 1 (MDH1). Overall, our study presents a comprehensive analysis of the PCa cell transcriptome and its modulation by AR, revealing a significant enrichment of metabolic genes in this AR-dependent regulation of alternative splicing.