Ex Vivo High-Resolution Magic Angle Spinning (HRMAS) <sup>1</sup>H NMR Spectroscopy for Early Prostate Cancer Detection

The aim of our study was to assess ex vivo HRMAS (high-resolution magic angle spinning) <sup>1</sup>H NMR spectroscopy as a diagnostic tool for early PCa detection by testing whether metabolomic alterations in prostate biopsy samples can predict future PCa diagnosis. In a primary prospec...

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Main Authors: Annabel Steiner, Stefan Andreas Schmidt, Cara Sophie Fellmann, Johannes Nowak, Chin-Lee Wu, Adam Scott Feldman, Meinrad Beer, Leo L. Cheng
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/14/9/2162
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author Annabel Steiner
Stefan Andreas Schmidt
Cara Sophie Fellmann
Johannes Nowak
Chin-Lee Wu
Adam Scott Feldman
Meinrad Beer
Leo L. Cheng
author_facet Annabel Steiner
Stefan Andreas Schmidt
Cara Sophie Fellmann
Johannes Nowak
Chin-Lee Wu
Adam Scott Feldman
Meinrad Beer
Leo L. Cheng
author_sort Annabel Steiner
collection DOAJ
description The aim of our study was to assess ex vivo HRMAS (high-resolution magic angle spinning) <sup>1</sup>H NMR spectroscopy as a diagnostic tool for early PCa detection by testing whether metabolomic alterations in prostate biopsy samples can predict future PCa diagnosis. In a primary prospective study (04/2006–10/2018), fresh biopsy samples of 351 prostate biopsy patients were NMR spectroscopically analyzed (Bruker 14.1 Tesla, Billerica, MA, USA) and histopathologically evaluated. Three groups of 16 patients were compared: group 1 and 2 represented patients whose NMR scanned biopsy was histobenign, but patients in group 1 were diagnosed with cancer before the end of the study period, whereas patients in group 2 remained histobenign. Group 3 included cancer patients. Single-metabolite concentrations and metabolomic profiles were not only able to separate histobenign and malignant prostate tissue but also to differentiate between samples of histobenign patients who received a PCa diagnosis in the following years and those who remained histobenign. Our results support the hypothesis that metabolomic alterations significantly precede histologically visible changes, making metabolomic information highly beneficial for early PCa detection. Thanks to its predictive power, metabolomic information can be very valuable for the individualization of PCa active surveillance strategies.
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spelling doaj.art-203d4c386dd646eebc266aa1e52422302023-11-23T07:55:41ZengMDPI AGCancers2072-66942022-04-01149216210.3390/cancers14092162Ex Vivo High-Resolution Magic Angle Spinning (HRMAS) <sup>1</sup>H NMR Spectroscopy for Early Prostate Cancer DetectionAnnabel Steiner0Stefan Andreas Schmidt1Cara Sophie Fellmann2Johannes Nowak3Chin-Lee Wu4Adam Scott Feldman5Meinrad Beer6Leo L. Cheng7Department of Pathology, Harvard Medical School/Massachusetts General Hospital, Boston, MA 02114, USADepartment of Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, GermanyDepartment of Pathology, Harvard Medical School/Massachusetts General Hospital, Boston, MA 02114, USARadiology Gotha, SRH Poliklinik Gera, 99867 Gotha, GermanyDepartment of Pathology, Harvard Medical School/Massachusetts General Hospital, Boston, MA 02114, USADepartment of Urology, Harvard Medical School/Massachusetts General Hospital, Boston, MA 02114, USADepartment of Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, GermanyDepartments of Pathology and Radiology, Harvard Medical School/Massachusetts General Hospital, Boston, MA 02114, USAThe aim of our study was to assess ex vivo HRMAS (high-resolution magic angle spinning) <sup>1</sup>H NMR spectroscopy as a diagnostic tool for early PCa detection by testing whether metabolomic alterations in prostate biopsy samples can predict future PCa diagnosis. In a primary prospective study (04/2006–10/2018), fresh biopsy samples of 351 prostate biopsy patients were NMR spectroscopically analyzed (Bruker 14.1 Tesla, Billerica, MA, USA) and histopathologically evaluated. Three groups of 16 patients were compared: group 1 and 2 represented patients whose NMR scanned biopsy was histobenign, but patients in group 1 were diagnosed with cancer before the end of the study period, whereas patients in group 2 remained histobenign. Group 3 included cancer patients. Single-metabolite concentrations and metabolomic profiles were not only able to separate histobenign and malignant prostate tissue but also to differentiate between samples of histobenign patients who received a PCa diagnosis in the following years and those who remained histobenign. Our results support the hypothesis that metabolomic alterations significantly precede histologically visible changes, making metabolomic information highly beneficial for early PCa detection. Thanks to its predictive power, metabolomic information can be very valuable for the individualization of PCa active surveillance strategies.https://www.mdpi.com/2072-6694/14/9/2162prostate cancerNMR spectroscopymetabolomics
spellingShingle Annabel Steiner
Stefan Andreas Schmidt
Cara Sophie Fellmann
Johannes Nowak
Chin-Lee Wu
Adam Scott Feldman
Meinrad Beer
Leo L. Cheng
Ex Vivo High-Resolution Magic Angle Spinning (HRMAS) <sup>1</sup>H NMR Spectroscopy for Early Prostate Cancer Detection
Cancers
prostate cancer
NMR spectroscopy
metabolomics
title Ex Vivo High-Resolution Magic Angle Spinning (HRMAS) <sup>1</sup>H NMR Spectroscopy for Early Prostate Cancer Detection
title_full Ex Vivo High-Resolution Magic Angle Spinning (HRMAS) <sup>1</sup>H NMR Spectroscopy for Early Prostate Cancer Detection
title_fullStr Ex Vivo High-Resolution Magic Angle Spinning (HRMAS) <sup>1</sup>H NMR Spectroscopy for Early Prostate Cancer Detection
title_full_unstemmed Ex Vivo High-Resolution Magic Angle Spinning (HRMAS) <sup>1</sup>H NMR Spectroscopy for Early Prostate Cancer Detection
title_short Ex Vivo High-Resolution Magic Angle Spinning (HRMAS) <sup>1</sup>H NMR Spectroscopy for Early Prostate Cancer Detection
title_sort ex vivo high resolution magic angle spinning hrmas sup 1 sup h nmr spectroscopy for early prostate cancer detection
topic prostate cancer
NMR spectroscopy
metabolomics
url https://www.mdpi.com/2072-6694/14/9/2162
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