Background: The management of hormone-insensitive locally advanced prostate cancer is difficult and complex and there is an urgent need for the development of effective chemotherapeutic agents intended for combination with currently available treatment modalities.
Methods: The present paper demonstrates the effectiveness of the monoterpene perillyl alcohol (POH) as potent radiosensitizer on DU145 and PC3 cell lines by performing clonogenic survival assays, cycle analysis, and assays to detect viability, apoptosis, and Fas receptor/ligand by flow cytometry.
Results: POH pretreatment resulted in a dose dependent sensitization to kill cell by radiation. Furthermore, POH treatment induced a transient G(2)/M arrest, enhanced the expression of the membrane bound form of the Fas ligand and sensitized the cells to Fas mediated apoptosis.
Conclusions: The unique manner of radiosensitization in addition to its low toxicity profile makes POH a promising new agent for preclinical evaluation as a potential radiosensitizer in the treatment of prostate cancer.
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http://dx.doi.org/10.1002/pros.10269 | DOI Listing |
Prostate
January 2025
Department of Urology, Istanbul University-Cerrahpaşa, Cerrahpaşa Faculty of Medicine, Istanbul, Turkey.
Background: Metastatic castration resistance prostate cancer (mCRPC) is a challenging disease with a significant burden of mortality and morbidity. Most of the patients attain resistance to the available treatments, necessitating further novel therapies in this clinical setting. Actinium 225 (Ac) prostate-specific membrane antigen (PSMA) radioligand therapy has emerged as a promising option and has been utilized for the last decade.
View Article and Find Full Text PDFBMC Urol
January 2025
The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian Province, 350122, China.
Background: In recent years, many studies have illustrated that the neutrophil-to-lymphocyte ratio (NLR) is a prognostic factor of metastatic castration-resistant prostate cancer (mCRPC), but their conclusions are controversial. The aim of this study was to assess the prognostic value of the NLR in patients with mCRPC treated with docetaxel-based chemotherapy.
Methods: Database searches were conducted in PubMed, EMBASE and the Cochrane Library to retrieve relevant published English-language literature up to 20 February 2023.
Eur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan, 410008, P.R. China.
Purpose: To develop and validate a prostate-specific membrane antigen (PSMA) PET/CT based multimodal deep learning model for predicting pathological lymph node invasion (LNI) in prostate cancer (PCa) patients identified as candidates for extended pelvic lymph node dissection (ePLND) by preoperative nomograms.
Methods: [Ga]Ga-PSMA-617 PET/CT scan of 116 eligible PCa patients (82 in the training cohort and 34 in the test cohort) who underwent radical prostatectomy with ePLND were analyzed in our study. The Med3D deep learning network was utilized to extract discriminative features from the entire prostate volume of interest on the PET/CT images.
Cell Death Dis
January 2025
Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France.
Prostate cancer is a heterogeneous disease with a slow progression and a highly variable clinical outcome. The tumor suppressor genes PTEN and TP53 are frequently mutated in prostate cancer and are predictive of early metastatic dissemination and unfavorable patient outcomes. The progression of solid tumors to metastasis is often associated with increased cell plasticity, but the complex events underlying TP53-loss-induced disease aggressiveness remain incompletely understood.
View Article and Find Full Text PDFBiochemistry (Mosc)
December 2024
Moscow Institute of Physics and Technology, Dolgoprudny, 141701, Russia.
Activation of the p38 mitogen-activated protein kinase (MAPK) pathways is vital in regulating cell growth, differentiation, apoptosis, and stress response, significantly affecting tumorigenesis and cancer progression. We developed a bioinformatic technique to construct an interactome network-based molecular pathways for genes of interest and quantify their activation levels using high-throughput gene expression data. This study is focused on the p38α, p38β, p38γ, and p38δ kinases, examining their activation levels (PALs) based on transcriptomic data and their associations with survival and drug responsiveness across various cancer types.
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