We describe a novel, potent peptide substrate mimetic inhibitor of protein kinase B (PKB/Akt). The compound selectively kills prostate cancer cells, in which PKB is highly activated, but not normal cells, or cancer cells in which PKB is not activated. The inhibitor induces apoptosis and inhibits the phosphorylation of PKB substrates in prostate cancer cell lines and significantly increases the efficacy of chemotherapy agents to induce prostate cancer cell death, when given in combination. In vivo, the inhibitor exhibits a strong antitumor effect in two prostate cancer mouse models. Moreover, treated animals develop significantly less lung metastases compared to untreated ones, and the effect is accompanied by a significant decrease in blood PSA [prostate-specific antigen] levels in treated animals. This compound and its potential analogues may be developed into novel, potent, and safe anticancer agents, both as stand-alone treatment and in combination with other chemotherapy agents.
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http://dx.doi.org/10.1021/bi061928s | 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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