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Prostate cancer (PCa) is the second leading cause of cancer-related mortality among men in the United States. While PCa initially responds to androgen deprivation therapy, a significant portion progresses to castration-resistant PCa. Approximately 20-25% of these cases acquire aggressive neuroendocrine (NE) features, ultimately leading to neuroendocrine prostate cancer (NEPC). In this study, we used bioinformatics analysis, western blotting, and immunohistochemical staining to investigate the expression of stathmin 1 (STMN1) in PCa cell lines and tissue samples from human PCa and mouse models. Our findings revealed a correlation between elevated STMN1 expression, high Gleason Score, and poor clinical outcomes in PCa patients. Additionally, STMN1 expression was positively correlated with the cell proliferation marker Ki67. Importantly, we observed a significant increase in STMN1 expression in NEPC compared to prostate adenocarcinoma, suggesting its potential role as a diagnostic and prognostic marker for advanced PCa. Furthermore, elevated STMN1 expression was detected in TRAMP tumors, a mouse model of PCa, further supporting its association with PCa progression. In summary, our study highlights the increased expression of STMN1 in NEPC and proliferating prostate adenocarcinoma cells, indicating its potential utility as a diagnostic and prognostic marker for advanced PCa.
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http://dx.doi.org/10.21203/rs.3.rs-5279702/v1 | DOI Listing |
Anticancer Res
September 2025
Advanced Research Promotion Centre, Health Sciences University of Hokkaido, Ishikari-Tobetsu, Japan;
Background/aim: Adrenocortical carcinoma (ACC) arises from the adrenal cortex. This cancer is characterized by a very low incidence, poor prognosis and high mortality rate. Because early detection is extremely difficult and no effective treatment has been established, the five-year survival rate is very low.
View Article and Find Full Text PDFFront Immunol
August 2025
Department of Thoracic Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Background: The roles of stem cells in lung adenocarcinoma (LUAD) progression and therapeutic resistance have been recognized, yet their impact on patient prognosis and immunotherapy response remains unclear.
Methods: Single-cell RNA sequencing was performed to identify stem cell populations characterized by high expression of MKI67 and STMN1. Key marker genes were identified using the FindAllMarkers function, and these genes were subsequently analyzed for mutations, copy number variations, and prognostic significance in LUAD patients.
Comp Biochem Physiol Part D Genomics Proteomics
July 2025
Guangxi Key Laboratory of Beibu Gulf Marine Biodiversity Conservation, College of Marine Sciences, Beibu Gulf University, Qinzhou 535011, Guangxi, China. Electronic address:
The Cipangopaludina chinensis is a freshwater species of great economic value in the class Gastropoda. The research on the development of the larvae of this species and the subsequent sex differentiation mechanism is extremely limited. This study conducted transcriptome analysis on C.
View Article and Find Full Text PDFCancers (Basel)
July 2025
Kettering Laboratory, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, 160 Panzeca Way, Cincinnati, OH 45267-0056, USA.
: Treatment of metastatic cancer remains a challenge, because cancer cells acquire resistance even to the most contemporary therapies. This study analyzed the role of the phosphoprotein Stathmin 1 (STMN1) in regulating cancer cell growth and metastatic potential. : Public datasets with metastatic castration-resistant prostate cancer (mCRPC) and breast cancer (BC) were analyzed to determine the interrelationship between STMN1, hepatocyte growth factor (HGF) and MET proto-oncogene (MET) expression, overall survival, and response to chemotherapy.
View Article and Find Full Text PDFJ Transl Med
July 2025
Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Aims: Macrophage-mediated inflammatory response plays a pivotal role in the pathological process of myocardial infarction (MI). Although single-cell RNA sequencing (scRNA-seq) shed light on the differentiation and function of macrophage subsets post-MI, it failed to capture protein-level changes, limiting comprehensive assessment.
Methods: To address this limitation, first, we analyzed the scRNA-seq data from ArrayExpress, after comprehensive quality control, normalization, dimensionality reduction, and clustering analyses, macrophage subsets were systematically classified and annotated using established computational pipelines.