Prostate cancer diagnosis and characterization with mass spectrometry imaging. Issue 3 (September 2018)

• Record Type: Journal Article
• Authors: Kurreck, Annika; Vandergrift, Lindsey; Fuss, Taylor; Habbel, Piet; Agar, Nathalie; Cheng, Leo
• Is Part Of: Prostate cancer and prostatic diseases. Volume 21:Issue 3(2018)
• Page Start: 297
• Page End: 305
• Publication Date: 2018-09
• Subjects: Prostate -- Cancer -- Periodicals; Prostate -- Diseases -- Periodicals; Prostatic Neoplasms; Prostatic Diseases; Prostate -- Cancer -- Périodiques; Prostate -- Maladies -- Périodiques; Periodicals; 616.65005
• DOI: 10.1038/s41391-017-0011-z
• Languages: English
• ISSNs: 1365-7852

Abstract

Abstract Background Prostate cancer (PCa), the most common cancer and second leading cause of cancer death in American men, presents the clinical challenge of distinguishing between indolent and aggressive tumors for proper treatment. PCa presents significant alterations in metabolic pathways that can potentially be measured using techniques like mass spectrometry (MS) or MS imaging (MSI) and used to characterize PCa aggressiveness. MS quantifies metabolomic, proteomic, and lipidomic profiles of biological systems that can be further visualized for their spatial distributions through MSI. Methods PubMed was queried for all publications relating to MS and MSI in human PCa from April 2007 to April 2017. With the goal of reviewing the utility of MSI in diagnosis and prognostication of human PCa, MSI articles that reported investigations of PCa-specific metabolites or metabolites indicating PCa aggressiveness were selected for inclusion. Articles were included that covered MS and MSI principles, limitations, and applications in PCa. Results We identified nine key studies on MSI in intact human prostate tissue specimens that determined metabolites which could either differentiate between benign and malignant prostate tissue or indicate PCa aggressiveness. These MSI-detected biomarkers show promise in reliably identifying PCa and determining disease aggressiveness. Conclusions MSI represents an innovative technique with the ability to interrogate cancer biomarkers in relation to tissue pathologies and investigate tumor aggressiveness. We propose MSI as a powerful adjuvant histopathology imaging tool for prostate tissue evaluations, where clinical translation of this ex vivo technique could make possible the use of MSI for personalized medicine in diagnosis and prognosis of PCa. Moreover, the knowledge provided from this technique can majorly contribute to the understanding of molecular pathogenesis of PCa and other malignant diseases.