H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue Samples

A high-resolution magic angle spinning NMR spectroscopic approach is presented for evaluating the occurrence, amount and aggressiveness of cancer in human prostate tissue samples. Using this technique, key metabolites in malignant and non-malignant samples (n = 149) were identified, and patterns of...

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Main Authors: Katarina Stenman, Pär Stattin, Hans Stenlund, Katrine Riklund, Gerhard Gröbner, Anders Bergh
Format: Article
Language:English
Published: SAGE Publishing 2011-01-01
Series:Biomarker Insights
Online Access:https://doi.org/10.4137/BMI.S6794
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spelling doaj-de4f0f97369245d8bcbc0e5b7acc20322020-11-25T02:48:08ZengSAGE PublishingBiomarker Insights1177-27192011-01-01610.4137/BMI.S6794H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue SamplesKatarina Stenman0Pär Stattin1Hans Stenlund2Katrine Riklund3Gerhard Gröbner4Anders Bergh5Departments of Radiation Sciences, Diagnostic RadiologySurgical and Perioperative Sciences, Urology and AndrologyPublic Health and Clinical Medicine, Epidemiology, Umeå University and University Hospital of Northern Sweden, Umeå, Sweden.Departments of Radiation Sciences, Diagnostic RadiologyDepartment of Chemistry, Umeå University, Umeå, Sweden.Medical Biosciences, PathologyA high-resolution magic angle spinning NMR spectroscopic approach is presented for evaluating the occurrence, amount and aggressiveness of cancer in human prostate tissue samples. Using this technique, key metabolites in malignant and non-malignant samples (n = 149) were identified, and patterns of their relative abundance were analyzed by multivariate statistical methods. Ratios of various metabolites – including (glycerophophorylcholine + phosphorylcholine)/creatine, myo-inositol/scyllo-inositol, scyllo-inositol/creatine, choline/creatine, and citrate/creatine – correlated with: i) for non-malignant tissue samples, the distance to the nearest tumor and its Gleason score and; ii) the fraction of tumor cells present in the sample; and iii) tumor cell proliferation (Ki67 labelling index). This NMR-based approach allows the extraction of information that could be useful for developing novel diagnostic methods for prostate cancer.https://doi.org/10.4137/BMI.S6794
collection DOAJ
language English
format Article
sources DOAJ
author Katarina Stenman
Pär Stattin
Hans Stenlund
Katrine Riklund
Gerhard Gröbner
Anders Bergh
spellingShingle Katarina Stenman
Pär Stattin
Hans Stenlund
Katrine Riklund
Gerhard Gröbner
Anders Bergh
H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue Samples
Biomarker Insights
author_facet Katarina Stenman
Pär Stattin
Hans Stenlund
Katrine Riklund
Gerhard Gröbner
Anders Bergh
author_sort Katarina Stenman
title H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue Samples
title_short H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue Samples
title_full H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue Samples
title_fullStr H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue Samples
title_full_unstemmed H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue Samples
title_sort h hrmas nmr derived bio-markers related to tumor grade, tumor cell fraction, and cell proliferation in prostate tissue samples
publisher SAGE Publishing
series Biomarker Insights
issn 1177-2719
publishDate 2011-01-01
description A high-resolution magic angle spinning NMR spectroscopic approach is presented for evaluating the occurrence, amount and aggressiveness of cancer in human prostate tissue samples. Using this technique, key metabolites in malignant and non-malignant samples (n = 149) were identified, and patterns of their relative abundance were analyzed by multivariate statistical methods. Ratios of various metabolites – including (glycerophophorylcholine + phosphorylcholine)/creatine, myo-inositol/scyllo-inositol, scyllo-inositol/creatine, choline/creatine, and citrate/creatine – correlated with: i) for non-malignant tissue samples, the distance to the nearest tumor and its Gleason score and; ii) the fraction of tumor cells present in the sample; and iii) tumor cell proliferation (Ki67 labelling index). This NMR-based approach allows the extraction of information that could be useful for developing novel diagnostic methods for prostate cancer.
url https://doi.org/10.4137/BMI.S6794
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