Literature DB >> 15833828

Metabolic characterization of human prostate cancer with tissue magnetic resonance spectroscopy.

Leo L Cheng1, Melissa A Burns, Jennifer L Taylor, Wenlei He, Elkan F Halpern, W Scott McDougal, Chin-Lee Wu.   

Abstract

Diagnostic advancements for prostate cancer have so greatly increased early detections that hope abounds for improved patient outcomes. However, histopathology, which guides treatment, often subcategorizes aggressiveness insufficiently among moderately differentiated Gleason score (6 and 7) tumors (>70% of new cases). Here, we test the diagnostic capability of prostate metabolite profiles measured with intact tissue magnetic resonance spectroscopy and the sensitivity of local prostate metabolites in predicting prostate cancer status. Prostate tissue samples (n = 199) obtained from 82 prostate cancer patients after prostatectomy were analyzed with high-resolution magic angle spinning proton magnetic resonance spectroscopy, and afterwards with quantitative pathology. Metabolite profiles obtained from principal component analysis of magnetic resonance spectroscopy were correlated with pathologic quantitative findings by using linear regression analysis and evaluated against patient pathologic statuses by using ANOVA. Paired t tests show that tissue metabolite profiles can differentiate malignant from benign samples obtained from the same patient (P < 0.005) and correlate with patient serum prostate-specific antigen levels (P < 0.006). Furthermore, metabolite profiles obtained from histologically benign tissue samples of Gleason score 6 and 7 prostates can delineate a subset of less aggressive tumors (P < 0.008) and predict tumor perineural invasion within the subset (P < 0.03). These results indicate that magnetic resonance spectroscopy metabolite profiles of biopsy tissues may help direct treatment plans by assessing prostate cancer pathologic stage and aggressiveness, which at present can be histopathologically determined only after prostatectomy.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15833828     DOI: 10.1158/0008-5472.CAN-04-4106

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  58 in total

Review 1.  Application of metabolomics to prostate cancer.

Authors:  Bruce J Trock
Journal:  Urol Oncol       Date:  2011 Sep-Oct       Impact factor: 3.498

Review 2.  Magnetic resonance spectroscopy: a promising tool for the diagnostics of human prostate cancer?

Authors:  Johannes Kurth; Elita Defeo; Leo L Cheng
Journal:  Urol Oncol       Date:  2011 Sep-Oct       Impact factor: 3.498

3.  Assessing prostate cancer growth with citrate measured by intact tissue proton magnetic resonance spectroscopy.

Authors:  R Dittrich; J Kurth; E A Decelle; E M DeFeo; M Taupitz; S Wu; C-L Wu; W S McDougal; L L Cheng
Journal:  Prostate Cancer Prostatic Dis       Date:  2012-01-31       Impact factor: 5.554

Review 4.  Metabolomics: moving to the clinic.

Authors:  Anders Nordström; Rolf Lewensohn
Journal:  J Neuroimmune Pharmacol       Date:  2009-04-28       Impact factor: 4.147

5.  Two-dimensional MR spectroscopy of healthy and cancerous prostates in vivo.

Authors:  M Albert Thomas; Thomas Lange; S Sendhil Velan; Rajakumar Nagarajan; Steve Raman; Ana Gomez; Daniel Margolis; Stephany Swart; Raymond R Raylman; Rolf F Schulte; Peter Boesiger
Journal:  MAGMA       Date:  2008-07-17       Impact factor: 2.310

6.  Response to Comments on "Magnetic Resonance Spectroscopy Identifies Neural Progenitor Cells in the Live Human Brain".

Authors:  Petar M Djurić; Helena Benveniste; Mark E Wagshul; Fritz Henn; Grigori Enikolopov; Mirjana Maletić-Savatić
Journal:  Science       Date:  2008-08-01       Impact factor: 47.728

7.  Retrospective analysis of prostate cancer recurrence potential with tissue metabolomic profiles.

Authors:  Andreas Maxeiner; Christen B Adkins; Yifen Zhang; Matthias Taupitz; Elkan F Halpern; W Scott McDougal; Chin-Lee Wu; Leo L Cheng
Journal:  Prostate       Date:  2010-05-15       Impact factor: 4.104

Review 8.  Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence.

Authors:  Rachel S Kelly; Matthew G Vander Heiden; Edward Giovannucci; Lorelei A Mucci
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-04-06       Impact factor: 4.254

Review 9.  High-resolution magic angle spinning 1H MRS in prostate cancer.

Authors:  Emily A Decelle; Leo L Cheng
Journal:  NMR Biomed       Date:  2013-03-26       Impact factor: 4.044

10.  Differential role of human choline kinase alpha and beta enzymes in lipid metabolism: implications in cancer onset and treatment.

Authors:  David Gallego-Ortega; Ana Ramirez de Molina; Maria Angeles Ramos; Fatima Valdes-Mora; Maria Gonzalez Barderas; Jacinto Sarmentero-Estrada; Juan Carlos Lacal
Journal:  PLoS One       Date:  2009-11-12       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.