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Homeobox A10 (HOXA10) is an important transcription factor that regulates the development of the prostate gland. However, it remains unknown whether it modulates prostate cancer (PCa) progression into castrate-resistant stages. In this study, we have applied RNA in situ hybridization assays to demonstrate that downregulation of HOXA10 expression is associated with castrate-resistant PCa. These findings are supported by public RNA-seq data showing that reduced HOXA10 expression is correlated with poor patient survival. We show that HOXA10 suppresses PCa cell proliferation, anchorage colony formation and xenograft growth independent to androgens. Using AmpliSeq transcriptome sequencing, we have found that gene groups associated with lipid metabolism and androgen receptor (AR) signaling are enriched in the HOXA10 transcriptome. Furthermore, we demonstrate that HOXA10 suppresses the transcription of the fatty acid synthase (FASN) gene by forming a protein com plex with AR and prevents AR recruitment to the FASN gene promoter. These results lead us to conclude that downregulation of HOXA10 gene expression may enhance lipogenesis to promote PCa cell growth and tumor progression to castrate-resistant stage. [ABSTRACT FROM AUTHOR]

Potent androgen receptor pathway inhibition (ARPI) therapies have given rise to a lethal, aggressive subtype of castration‐resistant prostate cancer (CRPC) called treatment‐induced neuroendocrine prostate cancer (t‐NEPC). Now, t‐NEPC poses a major clinical problem as approximately 20% of CRPC cases bear this subtype—a rate of occurrence that is predicted to rise with the widespread use of ARPI therapies. Unfortunately, there are no targeted therapies currently available to treat t‐NEPC as the origin and molecular underpinnings of t‐NEPC development remain unclear. In the present study, we identify that RNA splicing of the G protein‐coupled receptor kinase‐interacting protein 1 (GIT1) gene is a unique event in t‐NEPC patients. Specifically, upregulation of the GIT1‐A splice variant and downregulation of the GIT1‐C variant expressions are associated with t‐NEPC patient tumors, patient‐derived xenografts, and cell models. RNA‐binding assays show that RNA splicing of GIT1 is directly driven by SRRM4 and is associated with the neuroendocrine phenotype in CRPC cohorts. We show that GIT1‐A and GIT1‐C regulate differential transcriptomes in prostate cancer cells, where GIT1‐A regulates genes associated with morphogenesis, neural function, environmental sensing via cell‐adhesion processes, and epigenetic regulation. Consistent with our transcriptomic analyses, we report opposing functions of GIT1‐A and GIT1‐C in the stability of focal adhesions, whereby GIT1‐A promotes focal adhesion stability. In summary, our study is the first to report that alternative RNA splicing of the GIT1 gene is associated with t‐NEPC and reprograms its function involving FA‐mediated signaling and cell processes, which may contribute to t‐NEPC development. We report that the alternative RNA splicing of the GIT1 gene is associated with t‐NEPC progression using patient tumor samples, PDX models, and cell models. We demonstrate that GIT1‐A expression is upregulated in NEPC models, whereas expression of GIT1‐C is downregulated when compared to AdPC models, a mechanism regulated by SRRM4‐mediated RNA alternative splicing. Comprehensive transcriptomic data reveal distinct molecular changes in GIT1‐A and GIT1‐C, whereby bioinformatic analyses predict that the GIT1‐A transcriptome is enriched with gene sets implicated in t‐NEPC progression, such as morphogenesis, neural function, environmental sensing via cell‐adhesion processes, and epigenetic regulation. Consistent with our transcriptomic analyses, we report opposing functions of GIT1‐A and GIT1‐C in the stability of focal adhesions, whereby GIT1‐A promotes focal adhesion stability. [ABSTRACT FROM AUTHOR]

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 18 F-FDG than by PSMA-targeting radioligands. In this study, we evaluated the association between neuroendocrine gene signature and 18 F-FDG uptake-associated genes including glucose transporters (GLUTs) and hexokinases, with the goal of providing a genomic signature to explain the reported 18 F-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 18 F-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., (© 2020 by the Society of Nuclear Medicine and Molecular Imaging.)