Nerve growth factor (NGF) contributes to the progression of malignancy. However, the functional role and regulatory mechanisms of NGF in the development of neuroendocrine prostate cancer (NEPC) are unclear. Here, we show that an androgen-deprivation therapy (ADT)-stimulated transcription factor, ZBTB46, upregulated NGF via ZBTB46 mediated-transcriptional activation of NGF. NGF regulates NEPC differentiation by physically interacting with a G-protein-coupled receptor, cholinergic receptor muscarinic 4 (CHRM4), after ADT. Pharmacologic NGF blockade and NGF knockdown markedly inhibited CHRM4-mediated NEPC differentiation and AKT-MYCN signaling activation. CHRM4 stimulation was associated with ADT resistance and was significantly correlated with increased NGF in high-grade and small-cell neuroendocrine prostate cancer (SCNC) patient samples. Our results reveal a role of the NGF in the development of NEPC that is linked to ZBTB46 upregulation and CHRM4 accumulation. Our study provides evidence that the NGF-CHRM4 axis has potential to be considered as a therapeutic target to impair NEPC progression.
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http://dx.doi.org/10.1038/s42003-020-01549-1 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Key Laboratory for Special Functional Aggregate Materials of Education Ministry, School of Chemistry and Chemical Engineering, Shandong University, Jinan, Shandong 250100, China.
The adsorption of DNA probes onto nanomaterials represents a promising bioassay technique, generally employing fluorescence or catalytic activity to generate signals. A significant challenge is maintaining the catalytic activity of chromogenic catalysts during detection while enhancing accuracy by overcoming the limitations of single-signal transmission. This article presents an innovative multimodal analysis approach that synergistically combines the oxidase-like activity of Fe-N-C nanozyme (Fe-NC) with red fluorescent carbon quantum dots (R-CQDs), further advancing the dual-mode analysis method utilizing R-CQDs@Fe-NC.
View Article and Find Full Text PDFProstate Cancer Prostatic Dis
January 2025
Copenhagen Prostate Cancer Center, Department of Urology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Background: Men with pathogenic BRCA1/2 variants are at higher risk of prostate cancer We included men with likely pathogenic/pathogenic (LP/P) variants in BRCA1/2 in a prostate-specific antigen (PSA) screening program after cascade germline testing since 2014. PSA was tested yearly and an age-specific low PSA threshold for biopsy was used, to determine if a low PSA threshold for biopsy is justified for men with pathogenic BRCA1/2 variants.
Methods: From 2014 to 2023 a total of 340 men were included in the program.
Sci Rep
January 2025
Department of Urology Surgery, Guizhou Provincial People's Hospital, Guiyang, 550002, Guizhou Province, China.
The imbalance between estrogen and androgen may be an important mechanism of BPH, but the specific mechanism remains unclear. We used mixed sustained-release pellets made of testosterone and estradiol (T + E) to stimulate the establishment of a BPH rat model. Compared to the prostate hyperplasia rat model using only androgens, the new prostate hyperplasia rat model can be observed to have better macroscopic and pathological characteristics of prostate hyperplasia.
View Article and Find Full Text PDFEur Urol
January 2025
Department of Radiation Oncology, Medical Center - University of Freiburg Freiburg Germany; German Oncology Center, European University Cyprus Limassol Cyprus. Electronic address:
The Co-IMPACT consortium addresses knowledge gaps in prostate-specific membrane antigen positron emission tomography-guided radiotherapy for prostate cancer by establishing a global database (46 centres from 16 countries) to standardise and analyse data across four distinguished clinical scenarios. A collaborative model with the Advanced Prostate Cancer Consensus Conference aligns urgent clinical needs with actionable research insights.
View Article and Find Full Text PDFClin Oncol (R Coll Radiol)
January 2025
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, USA.
Aim: Artificial intelligence (AI) based auto-segmentation aids radiation therapy (RT) workflows and is being adopted in clinical environments facilitated by the increased availability of commercial solutions for organs at risk (OARs). In addition, open-source imaging datasets support training for new auto-segmentation algorithms. Here, we studied if the female and male anatomies are equally represented among these solutions.
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