Myosin VI is an actin motor that moves to the minus end of the polarized actin filament, a direction opposite to all other characterized myosins. Using expression microarrays, we identified myosin VI as one of the top genes that demonstrated cancer-specific overexpression in clinical prostate specimens. Protein expression of myosin VI was subsequently analyzed in arrayed prostate tissues from 240 patients. Notably, medium-grade prostate cancers demonstrated the most consistent cancer-specific myosin VI protein overexpression, whereas prostate cancers associated with more aggressive histological features continued to overexpress myosin VI but to a lesser extent. Myosin VI protein expression in cell lines positively correlated with the presence of androgen receptor. Small interference RNA-mediated myosin VI knockdown in the LNCaP human prostate cancer cell line resulted in impaired in vitro migration and soft-agar colony formation. Depletion of myosin VI expression was also accompanied by global gene expression changes reflective of attenuated tumorigenic potential, as marked by a nearly 10-fold induction of TXNIP (VDUP1), a tumor suppressor with decreased expression in prostate cancer specimens. These results support that myosin VI is critical in maintaining the malignant properties of the majority of human prostate cancers diagnosed today.
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http://dx.doi.org/10.2353/ajpath.2006.060316 | DOI Listing |
J Med Internet Res
January 2025
Cancer Rehabilitation and Survivorship, Department of Supportive Care, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Background: Virtual follow-up (VFU) has the potential to enhance cancer survivorship care. However, a greater understanding is needed of how VFU can be optimized.
Objective: This study aims to examine how, for whom, and in what contexts VFU works for cancer survivorship care.
PLoS One
January 2025
Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Epithelial cancers are typically heterogeneous with primary prostate cancer being a typical example of histological and genomic variation. Prior studies of primary prostate cancer tumour genetics revealed extensive inter and intra-patient genomic tumour heterogeneity. Recent advances in machine learning have enabled the inference of ground-truth genomic single-nucleotide and copy number variant status from transcript data.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles.
Importance: The phase 3 randomized EMBARK trial evaluated enzalutamide with or without leuprolide in high-risk nonmetastatic hormone-sensitive prostate cancer. Eligibility relied on conventional imaging, which underdetects metastatic disease compared with prostate-specific membrane antigen-positron emission tomography (PSMA-PET).
Objective: To describe the staging information obtained by PSMA-PET/computed tomography (PSMA-PET/CT) in a patient cohort eligible for the EMBARK trial.
Int Urol Nephrol
January 2025
Faculty of Medical Sciences, Pharmacology and Toxicology Department, University of Kragujevac, Kragujevac, Serbia.
Purposes: Intermediate-risk prostate cancer (IR PCa) is the most common risk group for localized prostate cancer. This study aimed to develop a machine learning (ML) model that utilizes biopsy predictors to estimate the probability of IR PCa and assess its performance compared to the traditional clinical model.
Methods: Between January 2017 and December 2022, patients with prostate-specific antigen (PSA) values of ≤ 20 ng/mL underwent transrectal ultrasonography-guided prostate biopsies.
Sleep Breath
January 2025
Clinical Internal Medicine Department, Shanghai Health and Medical Center, Wuxi, 214065, People's Republic of China.
Background: Obstructive sleep apnea has been associated with various urinary system diseases, including prostatic hyperplasia and nocturia. Recently, it has been linked to prostate cancer. This study investigated the relationship between the apnea hypopnea index, prostate-specific antigen (PSA) levels, and changes in PSA.
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