Article
Biochemistry & Molecular Biology
Luis Javier Martinez-Gonzalez, Victor Sanchez-Conde, Jose Maria Gonzalez-Cabezuelo, Alba Antunez-Rodriguez, Eduardo Andres-Leon, Inmaculada Robles-Fernandez, Jose Antonio Lorente, Fernando Vazquez-Alonso, Maria Jesus Alvarez-Cubero
Summary: miR-210-3p, miR-23c, miR-592, and miR-93-5p are suggested as potential biomarkers for risk stratification in prostate cancer, with miR-93-5p showing promise as a non-invasive biomarker. These miRNAs could be included in non-invasive strategies such as liquid biopsy for precision medicine in prostate cancer management.
Article
Automation & Control Systems
E. Aguado-Sarrio, J. M. Prats-Montalban, R. Sanz-Requena, C. Duchesne, A. Ferrer
Summary: Multi-parametric magnetic resonance imaging (mpMRI) is a key tool in radiology practice for assessing the location and malignancy probability of prostate cancer. This paper analyzes the aggressiveness of prostate cancer using multiple models and methods, and finds that a combination of diffusion and T2-weighted parameters can provide better prediction results.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Oncology
Asma Bourefis, Hajira Berredjem, Omar Djeffal, Thi Khanh Le, Sophie Giusiano, Palma Rocchi
Summary: This study investigated the correlation between HSP27 and Menin in prostate cancer patients and evaluated their diagnostic and prognostic significance. The results showed that HSP27 and Menin are important prognostic biomarkers in aggressive prostate cancer and can be used for diagnosis and clinical decision making.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sean D. McGarry, Michael Brehler, John D. Bukowy, Allison K. Lowman, Samuel A. Bobholz, Savannah R. Duenweg, Anjishnu Banerjee, Sarah L. Hurrell, Dariya Malyarenko, Thomas L. Chenevert, Yue Cao, Yuan Li, Daekeun You, Andrey Fedorov, Laura C. Bell, C. Chad Quarles, Melissa A. Prah, Kathleen M. Schmainda, Bachir Taouli, Eve LoCastro, Yousef Mazaheri, Amita Shukla-Dave, Thomas E. Yankeelov, David A. Hormuth, Ananth J. Madhuranthakam, Keith Hulsey, Kurt Li, Wei Huang, Wei Huang, Mark Muzi, Michael A. Jacobs, Meiyappan Solaiyappan, Stefanie Hectors, Tatjana Antic, Gladell P. Paner, Watchareepohn Palangmonthip, Kenneth Jacobsohn, Mark Hohenwalter, Petar Duvnjak, Michael Griffin, William See, Marja T. Nevalainen, Kenneth A. Iczkowski, Peter S. LaViolette
Summary: 14 site-specific parametric fitting algorithms were compared on DWI data, with K, DK, and MEADC showing higher prostate cancer detection capability compared to bi-exponential parameters. Post-processing decisions on DWI data can significantly impact sensitivity and specificity in prostate cancer studies.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Multidisciplinary Sciences
Frits H. A. van Heijster, Vincent Breukels, Kees (C) F. J. Jansen, Jack A. Schalken, Arend Heerschap
Summary: Glucose is identified as the main carbon source for secreted citrate in prostate epithelial cells. Glutamine contributes to positions in secreted citrate through oxidative Krebs cycle and reductive carboxylation routes, but does not contribute to its net synthesis. Approximately 21% of pyruvate in the Krebs cycle is converted via pyruvate carboxylase as an anaplerotic route, compensating for carbon loss from citrate secretion.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Review
Biochemistry & Molecular Biology
Francesco Lasorsa, Nicola Antonio di Meo, Monica Rutigliano, Matteo Ferro, Daniela Terracciano, Octavian Sabin Tataru, Michele Battaglia, Pasquale Ditonno, Giuseppe Lucarelli
Summary: Prostate cancer is a common malignancy in men and a leading cause of cancer death. The cancer cells have specific metabolic characteristics, including increased lipogenesis, cholesterogenesis, and reliance on glutamine. The tumor microenvironment also plays a role in cancer progression through interactions between cancer and stromal cells. The use of multi-omic approaches can provide a comprehensive understanding of the metabolic changes in prostate cancer.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Oncology
Himali Gujrati, Siyoung Ha, Bi-Dar Wang
Summary: This article systematically reviews the roles of microRNAs in the development and progression of prostate cancer. It highlights the current understanding and knowledge gap related to the deregulation of microRNAs in prostate cancer diseases, as well as summarizes the progress on the development of microRNA-based diagnostic/prognostic biomarkers and therapies for prostate cancer.
Article
Radiology, Nuclear Medicine & Medical Imaging
M. Boschheidgen, L. Schimmoeller, C. Arsov, F. Ziayee, J. Morawitz, B. Valentin, K. L. Radke, M. Giessing, I Esposito, P. Albers, G. Antoch, T. Ullrich
Summary: This study evaluated the value of mpMRI in predicting PCA aggressiveness and found significant correlations between MRI parameters and histopathologic grade groups, with the MRI grading groups providing the strongest prediction of biopsy ISUP grade groups.
EUROPEAN RADIOLOGY
(2022)
Article
Oncology
Vasiliki Lygirou, Konstantinos Fasoulakis, Rafael Stroggilos, Manousos Makridakis, Agnieszka Latosinska, Maria Frantzi, Ioannis Katafigiotis, Christos Alamanis, Konstantinos G. Stravodimos, Constantinos A. Constantinides, Antonia Vlahou, Jerome Zoidakis
Summary: Prostate cancer is the second most common cancer in men. This study aimed to identify proteins related to the progression and aggressiveness of prostate cancer, which could potentially serve as biomarkers for better risk stratification. Through proteomic analysis of prostate tissue specimens, seven proteins were identified that may play a critical role in prostate cancer aggressiveness. These findings provide valuable insights into the key regulators of prostate cancer progression and could be used for the development of risk assessment tools.
Review
Pharmacology & Pharmacy
Noemi Arrighetti, Giovanni Luca Beretta
Summary: Despite significant improvements in the clinical management of PCa, limitations still exist, such as overtreatment and limited therapeutic efficacy. miRNAs have emerged as potential biomarkers and therapeutic targets for prostate cancer.
Article
Biochemistry & Molecular Biology
Julio Bunay, Myriam Kossai, Christelle Damon-Soubeyrant, Angelique De Haze, Jean-Paul Saru, Amalia Trousson, Cyrille de Joussineau, Erwan Bouchareb, Ayhan Kocer, Marine Vialat, Sarah Dallel, Francoise Degoul, Frederic Bost, Stephan Clavel, Frederique Penault-Llorca, Marie-Pierre Valli, Laurent Guy, Jason Matthews, Yoan Renaud, Michael Ittmann, Jeffrey Jones, Laurent Morel, Jean-Marc Lobaccaro, Silvere Baron
Summary: Increasing evidence suggests a causal link between exposure to persistent organic pollutants (POPs) and increased incidence and aggressivity of various cancers. Dioxin and PCB-153, two widely found POPs, have been identified as significant sources of contamination. Experiments involving low doses of these POPs in ex vivo and in vivo models have shown that they increase growth and metastasis of prostate cancer cells. The up-regulation of Acetyl-CoA Acetyltransferase-1 (ACAT1) and ketone bodies pathway enzymes, identified as potential targets, has been confirmed in advanced prostate cancer. ACAT1 histoscore was also found to be significantly increased in patients exposed to the highly contaminated agent orange.
Article
Oncology
Simona Nanni, Aurora Aiello, Chiara Salis, Agnese Re, Chiara Cencioni, Lorenza Bacci, Francesco Pierconti, Francesco Pinto, Cristian Ripoli, Paola Ostano, Silvia Baroni, Giacomo Lazzarino, Barbara Tavazzi, Dario Pugliese, PierFrancesco Bassi, Claudio Grassi, Simona Panunzi, Giovanna Chiorino, Alfredo Pontecorvi, Carlo Gaetano, Antonella Farsetti
Summary: The study revealed the significant role of metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in prostate cancer metabolism, with its silencing causing metabolic reprogramming and reverting the phenotype of prostate cancer cells to that of normal prostate cells.
Review
Biochemistry & Molecular Biology
Qiang Peng, Christine Yim-Ping Wong, Isabella Wai-yin Cheuk, Jeremy Yuen-Chun Teoh, Peter Ka-Fung Chiu, Chi-Fai Ng
Summary: Decreased levels of spermine in prostate cancer compared to benign tissue may serve as an indicator of malignant transformation, with potential applications in therapy and chemoprevention. Ongoing research suggests a complex relationship between spermine metabolism and prostate cancer pathophysiology, offering new opportunities for diagnostic and therapeutic interventions.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Simone Giovanni Gugliandolo, Matteo Pepa, Lars Johannes Isaksson, Giulia Marvaso, Sara Raimondi, Francesca Botta, Sara Gandini, Delia Ciardo, Stefania Volpe, Giulia Riva, Damari Patricia Rojas, Dario Zerini, Paola Pricolo, Sarah Alessi, Giuseppe Petralia, Paul Eugene Summers, Frnacesco Alessandro Mistretta, Stefano Luzzago, Federica Cattani, Ottavio De Cobelli, Enrico Cassano, Marta Cremonesi, Massimo Bellomi, Roberto Orecchia, Barbara Alicja Jereczek-Fossa
Summary: This study utilized radiomic analysis of T2-W MRI images to predict oncological and radiological scores in prostate cancer patients, finding that texture features were most predictive for GS, PI-RADS v2 score, and risk class, while intensity features were highly associated with T-stage, ECE score, and risk class.
EUROPEAN RADIOLOGY
(2021)
Article
Multidisciplinary Sciences
Hui-Yi Lin, Po-Yu Huang, Chia-Ho Cheng, Heng-Yuan Tung, Zhide Fang, Anders E. Berglund, Ann Chen, Jennifer French-Kwawu, Darian Harris, Julio Pow-Sang, Kosj Yamoah, John L. Cleveland, Shivanshu Awasthi, Robert J. Rounbehler, Travis Gerke, Jasreman Dhillon, Rosalind Eeles, Zsofia Kote-Jarai, Kenneth Muir, Johanna Schleutker, Nora Pashayan, David E. Neal, Sune F. Nielsen, Borge G. Nordestgaard, Henrik Gronberg, Fredrik Wiklund, Graham G. Giles, Christopher A. Haiman, Ruth C. Travis, Janet L. Stanford, Adam S. Kibel, Cezary Cybulski, Kay-Tee Khaw, Christiane Maier, Stephen N. Thibodeau, Manuel R. Teixeira, Lisa Cannon-Albright, Hermann Brenner, Radka Kaneva, Hardev Pandha, Srilakshmi Srinivasan, Judith Clements, Jyotsna Batra, Jong Y. Park
Summary: The study identified SNP-SNP interactions associated with prostate cancer aggressiveness, with a majority involving the KLK3 gene. Predictions based on a polygenic risk score from 24 SNP pairs showed promising results. The findings suggest that KLK3 SNP interactions may play an important role in PCa aggressiveness.
SCIENTIFIC REPORTS
(2021)