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...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2011-01-01
|
Series: | Biomarker Insights |
Online Access: | https://doi.org/10.4137/BMI.S6794 |
id |
doaj-de4f0f97369245d8bcbc0e5b7acc2032 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT katarinastenman hhrmasnmrderivedbiomarkersrelatedtotumorgradetumorcellfractionandcellproliferationinprostatetissuesamples AT parstattin hhrmasnmrderivedbiomarkersrelatedtotumorgradetumorcellfractionandcellproliferationinprostatetissuesamples AT hansstenlund hhrmasnmrderivedbiomarkersrelatedtotumorgradetumorcellfractionandcellproliferationinprostatetissuesamples AT katrineriklund hhrmasnmrderivedbiomarkersrelatedtotumorgradetumorcellfractionandcellproliferationinprostatetissuesamples AT gerhardgrobner hhrmasnmrderivedbiomarkersrelatedtotumorgradetumorcellfractionandcellproliferationinprostatetissuesamples AT andersbergh hhrmasnmrderivedbiomarkersrelatedtotumorgradetumorcellfractionandcellproliferationinprostatetissuesamples |
_version_ |
1724749687946215424 |