Tamás Fazekas, Maximilian Pallauf, Jakub Kufel, Marcin Miszczyk, Ichiro Tsuboi, Akihiro Matsukawa, Ekaterina Laukhtina, Mehdi Kardoust Parizi, Stefano Mancon, Anna Cadenar, Robert Schulz, Takafumi Yanagisawa, Michael Baboudjian, Tibor Szarvas, Giorgio Gandaglia, Derya Tilki, Péter Nyirády, Pawel Rajwa, Michael S Leapman, Shahrokh F Shariat
{"title":"Molecular Correlates of Prostate Cancer Visibility on Multiparametric Magnetic Resonance Imaging: A Systematic Review.","authors":"Tamás Fazekas, Maximilian Pallauf, Jakub Kufel, Marcin Miszczyk, Ichiro Tsuboi, Akihiro Matsukawa, Ekaterina Laukhtina, Mehdi Kardoust Parizi, Stefano Mancon, Anna Cadenar, Robert Schulz, Takafumi Yanagisawa, Michael Baboudjian, Tibor Szarvas, Giorgio Gandaglia, Derya Tilki, Péter Nyirády, Pawel Rajwa, Michael S Leapman, Shahrokh F Shariat","doi":"10.1016/j.euo.2024.09.017","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objective: </strong>Although prostate magnetic resonance imaging (MRI) is increasingly used to diagnose and stage prostate cancer (PCa), the biologic and clinical significance of MRI visibility of the disease is unclear. Our aim was to examine the existing knowledge regarding the molecular correlates of MRI visibility of PCa.</p><p><strong>Methods: </strong>The PubMed, Scopus, and Web of Science databases were queried through November 2023. We defined MRI-visible and MRI-invisible lesions based on the Prostate Imaging Reporting and Data System (PI-RADS) score, and compared these based on the genomic, transcriptomic, and proteomic characteristics.</p><p><strong>Key findings and limitations: </strong>From 2015 individual records, 25 were selected for qualitative data synthesis. Current evidence supports the polygenic nature of MRI visibility, primarily influenced by genes related to stroma, adhesion, and cellular organization. Several gene signatures related to MRI visibility were associated with oncologic outcomes, which support that tumors appearing as PI-RADS 4-5 lesions harbor lethal disease. Accordingly, MRI-invisible tumors detected by systematic biopsies were, generally, less aggressive and had a more favorable prognosis; however, some MRI-invisible tumors harbored molecular features of biologically aggressive PCa. Among the commercially available prognostic gene panels, only Decipher was strongly associated with MRI visibility.</p><p><strong>Conclusions and clinical implications: </strong>High PI-RADS score is associated with biologically and clinically aggressive PCa molecular phenotypes, and could potentially be used as a biomarker. However, MRI-invisible lesions can harbor adverse features, advocating the continued use of systemic biopsies. Further research to refine the integration of imaging data to prognostic assessment is warranted.</p><p><strong>Patient summary: </strong>Magnetic resonance imaging visibility of prostate cancer is a polygenic trait. Higher Prostate Imaging Reporting and Data System scores are associated with features of biologically and clinically aggressive cancer.</p>","PeriodicalId":12256,"journal":{"name":"European urology oncology","volume":" ","pages":""},"PeriodicalIF":8.3000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European urology oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.euo.2024.09.017","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background and objective: Although prostate magnetic resonance imaging (MRI) is increasingly used to diagnose and stage prostate cancer (PCa), the biologic and clinical significance of MRI visibility of the disease is unclear. Our aim was to examine the existing knowledge regarding the molecular correlates of MRI visibility of PCa.
Methods: The PubMed, Scopus, and Web of Science databases were queried through November 2023. We defined MRI-visible and MRI-invisible lesions based on the Prostate Imaging Reporting and Data System (PI-RADS) score, and compared these based on the genomic, transcriptomic, and proteomic characteristics.
Key findings and limitations: From 2015 individual records, 25 were selected for qualitative data synthesis. Current evidence supports the polygenic nature of MRI visibility, primarily influenced by genes related to stroma, adhesion, and cellular organization. Several gene signatures related to MRI visibility were associated with oncologic outcomes, which support that tumors appearing as PI-RADS 4-5 lesions harbor lethal disease. Accordingly, MRI-invisible tumors detected by systematic biopsies were, generally, less aggressive and had a more favorable prognosis; however, some MRI-invisible tumors harbored molecular features of biologically aggressive PCa. Among the commercially available prognostic gene panels, only Decipher was strongly associated with MRI visibility.
Conclusions and clinical implications: High PI-RADS score is associated with biologically and clinically aggressive PCa molecular phenotypes, and could potentially be used as a biomarker. However, MRI-invisible lesions can harbor adverse features, advocating the continued use of systemic biopsies. Further research to refine the integration of imaging data to prognostic assessment is warranted.
Patient summary: Magnetic resonance imaging visibility of prostate cancer is a polygenic trait. Higher Prostate Imaging Reporting and Data System scores are associated with features of biologically and clinically aggressive cancer.
期刊介绍:
Journal Name: European Urology Oncology
Affiliation: Official Journal of the European Association of Urology
Focus:
First official publication of the EAU fully devoted to the study of genitourinary malignancies
Aims to deliver high-quality research
Content:
Includes original articles, opinion piece editorials, and invited reviews
Covers clinical, basic, and translational research
Publication Frequency: Six times a year in electronic format