Radiation therapy remains a promising modality for curative treatment of localized prostate cancer, but dose-limiting toxicities significantly limit its effectiveness. Agents that enhance efficacy at lower radiation doses might have considerable value in increasing tumor control without compromising organ function. Here, we tested the hypothesis that the PARP inhibitor ABT-888 (veliparib) can enhance the response of prostate cancer cells and tumors to ionizing radiation (IR). Following exposure of DU-145 and PC-3 prostate cancer cell lines to the combination of 10 μmol/L ABT-888 and 6 Gy, we observed similar persistence between both cell lines of DNA damage foci and in vitro radiosensitization. We have previously observed that persistent DNA damage foci formed after ABT-888 plus IR efficiently promote accelerated cell senescence, but only PC-3 cells displayed the expected senescent response of G(2)-M arrest, induction of p21 and β-galactosidase expression, and accumulation as large flat cells. In turn, combining ABT-888 with 6 Gy resulted in delayed tumor regrowth compared with either agent alone only in PC-3 xenograft tumors, whereas DU-145 tumors continued to grow. By 7 days after treatment with ABT-888 plus IR, PC-3 tumors contained abundant senescent cells displaying persistent DNA damage foci, but no evidence of senescence was noted in the DU-145 tumors. That equivalent radiosensitization by ABT-888 plus IR in vitro failed to predict comparable results with tumors in vivo suggests that the efficacy of PARP inhibitors may partially depend on a competent senescence response to accumulated DNA damage.
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http://dx.doi.org/10.1158/1535-7163.MCT-11-0061 | DOI Listing |
Ann Nucl Med
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
The purpose of this systematic review was to evaluate the role of PSMA PET/CT in intermediate-risk prostate cancer (PCa) patients, to determine whether it could help improve treatment strategy and prognostic stratification. A systematic literature search up to May 2024 was conducted in the PubMed, Embase and Scopus databases. Articles with mixed risk patient populations, review articles, editorials, letters, comments, or case reports were excluded.
View Article and Find Full Text PDFJ Neurooncol
January 2025
Department of Neurosurgery, Allegheny Health Network, Neuroscience Institute, Pittsburgh, PA, United States.
Langenbecks Arch Surg
January 2025
Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Purpose: Assessing surgical skills is vital for training surgeons, but creating objective, automated evaluation systems is challenging, especially in robotic surgery. Surgical procedures generally involve dissection and exposure (D/E), and their duration and proportion can be used for skill assessment. This study aimed to develop an AI model to acquire D/E parameters in robot-assisted radical prostatectomy (RARP) and verify if these parameters could distinguish between novice and expert surgeons.
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Radiology, the Second Affiliated Hospital of Dalian Medical University, Dalian, 116023, China.
Objective: To evaluate the feasibility of utilizing artificial intelligence (AI)-predicted biparametric MRI (bpMRI) image features for predicting the aggressiveness of prostate cancer (PCa).
Materials And Methods: A total of 878 PCa patients from 4 hospitals were retrospectively collected, all of whom had pathological results after radical prostatectomy (RP). A pre-trained AI algorithm was used to select suspected PCa lesions and extract lesion features for model development.
Mov Disord Clin Pract
January 2025
The Edmond J. Safra Program in Parkinson's Disease, University Health Network and the University of Toronto, Toronto, Ontario, Canada.
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