ArticleBiomarker insights2011
H HRMAS NMR Derived Bio-markers Related to Tumor Grade, Tumor Cell Fraction, and Cell Proliferation in Prostate Tissue Samples.
Article in Biomarker insights, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 55 citations in OpenAlex.
- Gene expression profiles in benign prostate tissue reflect tumor proximity, grade, and molecular subtype.Journal of translational medicine · 2026Article
- Use of Nuclear Magnetic Resonance (NMR) to Study Cancer Metabolism.Advances in experimental medicine and biology · 2026Review
- Discovery of tumour indicating morphological changes in benign prostate biopsies through AI.Scientific reports · 2025Article
- Metabolomic profiles of intact tissues reflect clinically relevant prostate cancer subtypes.Journal of translational medicine · 2023Article
- Ex Vivo High-Resolution Magic Angle Spinning (HRMAS)Cancers · 2022Article
- Citric Acid as a Potential Prostate Cancer Biomarker Determined in Various Biological Samples.Metabolites · 2022Article
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- New findings on urinary prostate cancer metabolome through combined GC-MS andMetabolomics : Official journal of the Metabolomic Society · 2020Article
- Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status.BMC cancer · 2020Article
- Metabolomic prostate cancer fields in HRMAS MRS-profiled histologically benign tissue vary with cancer status and distance from cancer.NMR in biomedicine · 2019Article
- Focus on the glycerophosphocholine pathway in choline phospholipid metabolism of cancer.NMR in biomedicine · 2019Review
- Molecular Characterization of Prostate Cancer with Associated Gleason Score Using Mass Spectrometry Imaging.Molecular cancer research : MCR · 2019Article
- NMR-based metabolomics studies of human prostate cancer tissue.Metabolomics : Official journal of the Metabolomic Society · 2018Review
- Applications of high-resolution magic angle spinning MRS in biomedical studies II-Human diseases.NMR in biomedicine · 2017Review
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- Article
- Development of a LC-MS/MS Method for the Simultaneous Detection of Tricarboxylic Acid Cycle Intermediates in a Range of Biological Matrices.Journal of analytical methods in chemistry · 2017Article
- Biomarker Discovery in Human Prostate Cancer: an Update in Metabolomics Studies.Translational oncology · 2016Review
- Understanding the pathogenesis of hip fracture in the elderly, osteoporotic theory is not reflected in the outcome of prevention programmes.World journal of orthopedics · 2016Article
- Evaluation of Cancer Metabolomics Using ex vivo High Resolution Magic Angle Spinning (HRMAS) Magnetic Resonance Spectroscopy (MRS).Metabolites · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.