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Tenbergen CJA, Ruhm L, Ypma S, Heerschap A, Henning A, Scheenen TWJ. Improving the Effective Spatial Resolution in 1H-MRSI of the Prostate with Three-Dimensional Overdiscretized Reconstructions. Life (Basel) 2023; 13:life13020282. [PMID: 36836640 PMCID: PMC9967259 DOI: 10.3390/life13020282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/12/2023] [Accepted: 01/14/2023] [Indexed: 01/20/2023] Open
Abstract
In in vivo 1H-MRSI of the prostate, small matrix sizes can cause voxel bleeding extending to regions far from a voxel, dispersing a signal of interest outside that voxel and mixing extra-prostatic residual lipid signals into the prostate. To resolve this problem, we developed a three-dimensional overdiscretized reconstruction method. Without increasing the acquisition time from current 3D MRSI acquisition methods, this method is aimed to improve the localization of metabolite signals in the prostate without compromising on SNR. The proposed method consists of a 3D spatial overdiscretization of the MRSI grid, followed by noise decorrelation with small random spectral shifts and weighted spatial averaging to reach a final target spatial resolution. We successfully applied the three-dimensional overdiscretized reconstruction method to 3D prostate 1H-MRSI data at 3T. Both in phantom and in vivo, the method proved to be superior to conventional weighted sampling with Hamming filtering of k-space. Compared with the latter, the overdiscretized reconstructed data with smaller voxel size showed up to 10% less voxel bleed while maintaining higher SNR by a factor of 1.87 and 1.45 in phantom measurements. For in vivo measurements, within the same acquisition time and without loss of SNR compared with weighted k-space sampling and Hamming filtering, we achieved increased spatial resolution and improved localization in metabolite maps.
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Affiliation(s)
- Carlijn J. A. Tenbergen
- Department of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Correspondence:
| | - Loreen Ruhm
- High-Field MR Center, Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany
| | - Sjoerd Ypma
- Department of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Arend Heerschap
- Department of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Anke Henning
- High-Field MR Center, Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Tom W. J. Scheenen
- Department of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
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Carbon sources and pathways for citrate secreted by human prostate cancer cells determined by NMR tracing and metabolic modeling. Proc Natl Acad Sci U S A 2022; 119:e2024357119. [PMID: 35353621 PMCID: PMC9168453 DOI: 10.1073/pnas.2024357119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
The human prostate accumulates high luminal citrate levels to serve sperm viability. There is only indirect qualitative evidence about metabolic pathways and carbon sources maintaining these levels. Human citrate-secreting prostate cancer cells were supplied with 13C-labeled substrates, and NMR spectra of extracellular fluid were recorded. We report absolute citrate production rates of prostate cells and direct evidence that glucose is the main carbon source for secreted citrate. Pyruvate carboxylase provides sufficient anaplerotic carbons to support citrate secretion. Glutamine carbons exchange with carbons for secreted citrate but are likely not involved in its net synthesis. Moreover, we developed metabolic models employing the 13C distribution in extracellular citrate as input to assess intracellular pathways followed by carbons toward citrate. Prostate epithelial cells have the unique capacity to secrete large amounts of citrate, but the carbon sources and metabolic pathways that maintain this production are not well known. We mapped potential pathways for citrate carbons in the human prostate cancer metastasis cell lines LNCaP and VCaP, for which we first established that they secrete citrate (For LNCaP 5.6 ± 0.9 nmol/h per 106 cells). Using 13C-labeled substrates, we traced the incorporation of 13C into citrate by NMR of extracellular fluid. Our results provide direct evidence that glucose is a main carbon source for secreted citrate. We also demonstrate that carbons from supplied glutamine flow via oxidative Krebs cycle and reductive carboxylation routes to positions in secreted citrate but likely do not contribute to its net synthesis. The potential anaplerotic carbon sources aspartate and asparagine did not contribute to citrate carbons. We developed a quantitative metabolic model employing the 13C distribution in extracellular citrate after 13C glucose and pyruvate application to assess intracellular pathways of carbons for secreted citrate. From this model, it was estimated that in LNCaP about 21% of pyruvate entering the Krebs cycle is converted via pyruvate carboxylase as an anaplerotic route at a rate more than sufficient to compensate carbon loss of this cycle by citrate secretion. This model provides an estimation of the fraction of molecules, including citrate, leaving the Krebs cycle at every turn. The measured ratios of 13C atoms at different positions in extracellular citrate may serve as biomarkers for (malignant) epithelial cell metabolism.
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Gibbons M, Starobinets O, Simko JP, Kurhanewicz J, Carroll PR, Noworolski SM. Identification of prostate cancer using multiparametric MR imaging characteristics of prostate tissues referenced to whole mount histopathology. Magn Reson Imaging 2022; 85:251-261. [PMID: 34666162 PMCID: PMC9931199 DOI: 10.1016/j.mri.2021.10.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/05/2021] [Accepted: 10/12/2021] [Indexed: 12/24/2022]
Abstract
In this study, the objective was to characterize the MR signatures of the various benign prostate tissues and to differentiate them from cancer. Data was from seventy prostate cancer patients who underwent multiparametric MRI (mpMRI) and subsequent prostatectomy. The scans included T2-weighted imaging (T2W), diffusion weighted imaging, dynamic contrast-enhanced MRI (DCE MRI), and MR spectroscopic imaging. Histopathology tissue information was translated to MRI images. The mpMRI parameters were characterized separately per zone and by tissue type. The tissues were ordered according to trends in tissue parameter means. The peripheral zone tissue order was cystic atrophy, high grade prostatic intraepithelial neoplasia (HGPIN), normal, atrophy, inflammation, and cancer. Decreasing values for tissue order were exhibited by ADC (1.8 10-3 mm2/s to 1.2 10-3 mm2/s) and T2W intensity (3447 to 2576). Increasing values occurred for DCE MRI peak (143% to 157%), DCE MRI slope (101%/min to 169%/min), fractional anisotropy (FA) (0.16 to 0.19), choline (7.2 to 12.2), and choline / citrate (0.3 to 0.9). The transition zone tissue order was cystic atrophy, mixed benign prostatic hyperplasia (BPH), normal, atrophy, inflammation, stroma, anterior fibromuscular stroma, and cancer. Decreasing values occurred for ADC (1.6 10-3 mm2/s to 1.1 10-3 mm2/s) and T2W intensity (2863 to 2001). Increasing values occurred for DCE MRI peak (143% to 150%), DCE MRI slope (101%/min to 137%/min), FA (0.18 to 0.25), choline (7.9 to 11.7), and choline / citrate (0.3 to 0.7). Logistic regression was used to create parameter model fits to differentiate cancer from benign prostate tissues. The fits achieved AUCs ≥0.91. This study quantified the mpMRI characteristics of benign prostate tissues and demonstrated the capability of mpMRI to discriminate among benign as well as cancer tissues, potentially aiding future discrimination of cancer from benign confounders.
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Affiliation(s)
- Matthew Gibbons
- Deparment of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA, USA.
| | - Olga Starobinets
- Deparment of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry Street, San Francisco, CA, USA
| | - Jeffry P. Simko
- Department of Urology, University of California, San Francisco, 550 16th Street, San Francisco, CA, USA,Department of Pathology, University of California, San Francisco, 1825 4th Street, San Francisco, CA, USA
| | - John Kurhanewicz
- Deparment of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA, USA; Department of Urology, University of California, 550 16th Street, San Francisco, CA, USA.
| | - Peter R Carroll
- Department of Urology, University of California, 550 16th Street, San Francisco, CA, USA.
| | - Susan M Noworolski
- Deparment of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA, USA.
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Belkić D, Belkić K. NMR spectroscopy at high magnetic fields: Derivative reconstructions of components from envelopes using encoded time signals. ADVANCES IN QUANTUM CHEMISTRY 2022. [DOI: 10.1016/bs.aiq.2022.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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5
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Jagannathan N, Reddy RR. Potential of nuclear magnetic resonance metabolomics in the study of prostate cancer. Indian J Urol 2022; 38:99-109. [PMID: 35400867 PMCID: PMC8992727 DOI: 10.4103/iju.iju_416_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 12/16/2021] [Accepted: 02/09/2022] [Indexed: 12/24/2022] Open
Abstract
Nuclear magnetic resonance (NMR) metabolomics is a powerful analytical technique and a tool which has unique characteristics and capabilities for the evaluation of a number of biochemicals/metabolites of cancer and other disease processes that are present in biofluids (urine and blood) and tissues. The potential of NMR metabolomics in prostate cancer (PCa) has been explored by researchers and its usefulness has been documented. A large number of metabolites such as citrate, choline, and sarcosine were detected by NMR metabolomics from biofluids and tissues related to PCa and their levels were compared with controls and benign prostatic hyperplasia. The changes in the levels of these metabolites aid in the diagnosis and help to understand the dysregulated metabolic pathways in PCa. We review recent studies on in vitro and ex vivo NMR spectroscopy-based PCa metabolomics and its possible role as a diagnostic tool.
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Lee S, Ku JY, Kang BJ, Kim KH, Ha HK, Kim S. A Unique Urinary Metabolic Feature for the Determination of Bladder Cancer, Prostate Cancer, and Renal Cell Carcinoma. Metabolites 2021; 11:metabo11090591. [PMID: 34564407 PMCID: PMC8468099 DOI: 10.3390/metabo11090591] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 08/28/2021] [Accepted: 08/31/2021] [Indexed: 01/16/2023] Open
Abstract
Prostate cancer (PCa), bladder cancer (BCa), and renal cell carcinoma (RCC) are the most prevalent cancer among urological cancers. However, there are no cancer-specific symptoms that can differentiate them as well as early clinical signs of urological malignancy. Furthermore, many metabolic studies have been conducted to discover their biomarkers, but the metabolic profiling study to discriminate between these cancers have not yet been described. Therefore, in this study, we aimed to investigate the urinary metabolic differences in male patients with PCa (n = 24), BCa (n = 29), and RCC (n = 12) to find the prominent combination of metabolites between cancers. Based on 1H NMR analysis, orthogonal partial least-squares discriminant analysis was applied to find distinct metabolites among cancers. Moreover, the ranked analysis of covariance by adjusting a potential confounding as age revealed that 4-hydroxybenzoate, N-methylhydantoin, creatinine, glutamine, and acetate had significantly different metabolite levels among groups. The receiver operating characteristic analysis created by prominent five metabolites showed the great discriminatory accuracy with area under the curve (AUC) > 0.7 for BCa vs. RCC, PCa vs. BCa, and RCC vs. PCa. This preliminary study compares the metabolic profiles of BCa, PCa, and RCC, and reinforces the exploratory role of metabolomics in the investigation of human urine.
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Affiliation(s)
- Sujin Lee
- Department of Chemistry and Chemistry Institute for Functional Materials, Institute for Plastic Information and Energy Materials, Pusan National University, Busandaehak-ro 63, Geumjeong-gu, Busan 46241, Korea;
| | - Ja Yoon Ku
- Department of Urology, Dongnam Institute of Radiological & Medical Sciences Cancer Center, Busan 46033, Korea;
| | - Byeong Jin Kang
- Department of Urology, College of Medicine, Pusan National University, Busan 49241, Korea; (B.J.K.); (K.H.K.)
| | - Kyung Hwan Kim
- Department of Urology, College of Medicine, Pusan National University, Busan 49241, Korea; (B.J.K.); (K.H.K.)
| | - Hong Koo Ha
- Department of Urology, College of Medicine, Pusan National University and Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea;
| | - Suhkmann Kim
- Department of Chemistry and Chemistry Institute for Functional Materials, Institute for Plastic Information and Energy Materials, Pusan National University, Busandaehak-ro 63, Geumjeong-gu, Busan 46241, Korea;
- Correspondence: ; Tel.: +82-51-510-2240
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7
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Deal M, Bardet F, Walker PM, de la Vega MF, Cochet A, Cormier L, Bentellis I, Loffroy R. Three-dimensional nuclear magnetic resonance spectroscopy: a complementary tool to multiparametric magnetic resonance imaging in the identification of aggressive prostate cancer at 3.0T. Quant Imaging Med Surg 2021; 11:3749-3766. [PMID: 34341747 DOI: 10.21037/qims-21-331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 04/13/2021] [Indexed: 12/12/2022]
Abstract
Background The limitations of the assessment of tumor aggressiveness by Prostate Imaging Reporting and Data System (PI-RADS) and biopsies suggest that the diagnostic algorithm could be improved by quantitative measurements in some chosen indications. We assessed the tumor high-risk predictive performance of 3.0 Tesla (3.0T) multiparametric magnetic resonance imaging (mp-MRI) combined with nuclear magnetic resonance spectroscopic sequences (NMR-S) in order to show that the metabolic analysis could bring out an evocative result for the aggressive form of prostate cancer. Methods We conducted a retrospective study of 26 patients (mean age, 62.4 years) who had surgery for prostate cancer between 2009 and 2016 after pre-therapeutic assessment with 3.0T mp-MRI and NMR-S. Groups within the intermediate range of the D'Amico risk classification were divided into two categories, low risk (n=20) and high risk (n=6), according to the International Society of Urological Pathology (ISUP) 2-3 limit. Histoprognostic discordances within various risk groups were compared with the corresponding predictive MRI values. The performance of predictive models was assessed based on sensitivity, specificity, and the area under the curve (AUC) of receiver operating characteristic (ROC) curves. Results After prostatectomy, histological analysis reclassified 18 patients as high-risk, including 16 who were T3 MRI grade, of whom 13 (81.3%) were found to be pT3. Among the patients who had cT1 or cT2 digital rectal examinations, the T3 MRI factor multiplied by 8.7 [odds ratio (OR), 8.7; 95% confidence interval (CI), 1.3-56.2; P=0.024] the relative risk of being pT3 and by 5.8 (OR, 5.8; 95% CI, 0.95-35.7; P=0.05) the relative risk of being pGleason (pGS) > GS-prostate biopsy. Spectroscopic data showed that the choline concentration was significantly higher (P=0.001) in aggressive disease. Conclusions The predictive model of tumor aggressiveness combining mp-MRI plus NMR-S was better than the mp-MRI model alone (AUC, 0.95 vs. 0.86). Information obtained by mp-MRI coupled with spectroscopy may improve the detection of occult aggressive disease, helping in the discrimination of intermediate risks.
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Affiliation(s)
- Michael Deal
- Department of Urology and Andrology, Arnault Tzanck Private Institute, Mougins Sophia-Antipolis, Mougins Cedex, France.,Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Florian Bardet
- Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Paul-Michael Walker
- Department of Spectroscopy and Nuclear Magnetic Resonance, François-Mitterrand University Hospital, Dijon, France.,ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France
| | | | - Alexandre Cochet
- Department of Spectroscopy and Nuclear Magnetic Resonance, François-Mitterrand University Hospital, Dijon, France.,ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France
| | - Luc Cormier
- Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Imad Bentellis
- Department of Urology and Andrology, Sophia Antipolis University Hospital, Nice, France
| | - Romaric Loffroy
- ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France.,Department of Radiology and Medical Imaging, François-Mitterrand University Hospital, Dijon, France
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McGee KP, Hwang KP, Sullivan DC, Kurhanewicz J, Hu Y, Wang J, Li W, Debbins J, Paulson E, Olsen JR, Hua CH, Warner L, Ma D, Moros E, Tyagi N, Chung C. Magnetic resonance biomarkers in radiation oncology: The report of AAPM Task Group 294. Med Phys 2021; 48:e697-e732. [PMID: 33864283 PMCID: PMC8361924 DOI: 10.1002/mp.14884] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/24/2021] [Accepted: 03/28/2021] [Indexed: 12/16/2022] Open
Abstract
A magnetic resonance (MR) biologic marker (biomarker) is a measurable quantitative characteristic that is an indicator of normal biological and pathogenetic processes or a response to therapeutic intervention derived from the MR imaging process. There is significant potential for MR biomarkers to facilitate personalized approaches to cancer care through more precise disease targeting by quantifying normal versus pathologic tissue function as well as toxicity to both radiation and chemotherapy. Both of which have the potential to increase the therapeutic ratio and provide earlier, more accurate monitoring of treatment response. The ongoing integration of MR into routine clinical radiation therapy (RT) planning and the development of MR guided radiation therapy systems is providing new opportunities for MR biomarkers to personalize and improve clinical outcomes. Their appropriate use, however, must be based on knowledge of the physical origin of the biomarker signal, the relationship to the underlying biological processes, and their strengths and limitations. The purpose of this report is to provide an educational resource describing MR biomarkers, the techniques used to quantify them, their strengths and weakness within the context of their application to radiation oncology so as to ensure their appropriate use and application within this field.
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Affiliation(s)
- Kiaran P McGee
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ken-Pin Hwang
- Department of Imaging Physics, Division of Diagnostic Imaging, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA
| | - Daniel C Sullivan
- Department of Radiology, Duke University, Durham, North Carolina, USA
| | - John Kurhanewicz
- Department of Radiology, University of California, San Francisco, California, USA
| | - Yanle Hu
- Department of Radiation Oncology, Mayo Clinic, Scottsdale, Arizona, USA
| | - Jihong Wang
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA
| | - Wen Li
- Department of Radiation Oncology, University of Arizona, Tucson, Arizona, USA
| | - Josef Debbins
- Department of Radiology, Barrow Neurologic Institute, Phoenix, Arizona, USA
| | - Eric Paulson
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Jeffrey R Olsen
- Department of Radiation Oncology, University of Colorado Denver - Anschutz Medical Campus, Denver, Colorado, USA
| | - Chia-Ho Hua
- Department of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | | | - Daniel Ma
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Eduardo Moros
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Neelam Tyagi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Caroline Chung
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, Houston, Texas, USA
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9
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Metabolic regulation of prostate cancer heterogeneity and plasticity. Semin Cancer Biol 2020; 82:94-119. [PMID: 33290846 DOI: 10.1016/j.semcancer.2020.12.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 11/12/2020] [Accepted: 12/03/2020] [Indexed: 02/07/2023]
Abstract
Metabolic reprogramming is one of the main hallmarks of cancer cells. It refers to the metabolic adaptations of tumor cells in response to nutrient deficiency, microenvironmental insults, and anti-cancer therapies. Metabolic transformation during tumor development plays a critical role in the continued tumor growth and progression and is driven by a complex interplay between the tumor mutational landscape, epigenetic modifications, and microenvironmental influences. Understanding the tumor metabolic vulnerabilities might open novel diagnostic and therapeutic approaches with the potential to improve the efficacy of current tumor treatments. Prostate cancer is a highly heterogeneous disease harboring different mutations and tumor cell phenotypes. While the increase of intra-tumor genetic and epigenetic heterogeneity is associated with tumor progression, less is known about metabolic regulation of prostate cancer cell heterogeneity and plasticity. This review summarizes the central metabolic adaptations in prostate tumors, state-of-the-art technologies for metabolic analysis, and the perspectives for metabolic targeting and diagnostic implications.
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Liu Z, Yang Z, Xiong L, Li D, Zou Q, Yuan Y. ACO2 and ANPEP as novel prognostic markers for gallbladder squamous cell/adenosquamous carcinomas and adenocarcinomas. Int J Clin Oncol 2020; 25:1346-1355. [PMID: 32249333 DOI: 10.1007/s10147-020-01651-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 03/03/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Squamous cell/adenosquamous carcinoma (SC/ASC) is a rarely identified form of gallbladder cancer with poorly understood clinical features. As such, there is an urgent need to identify novel prognostic biomarkers for such gallbladder SC/ASC cases, and for gallbladder adenocarcinomas (ACs). METHODS The levels of ACO2 and ANPEP proteins were assessed via an EnVision-based immunohistochemical approach using 46 SC/ASC and 80 AC patient samples. RESULTS There was a marked reduction in levels of ACO2 and ANPEP in gallbladder AC relative to normal adjacent tissue or benign gallbladder lesions. The was a significant correlation between lack of ACO2 and ANPEP and larger tumors, higher tumor-node-metastasis (TNM) staging, invasion, metastasis to regional lymph nodes, and ineligibility for surgical resection in both SC/ASC and AC tumor samples. Kaplan-Meier survival analyses further confirmed a relationship between ACO2 and ANPEP negativity and decreased overall survival in patients with these diseases (p < 0.05 or p < 0.01), and a multivariate regression analysis further established that ACO2 negativity and ANPEP negativity were independently predictive of poor SC/ASC and AC patient outcomes. CONCLUSIONS ACO2 and ANPEP may have key physiological relevance in cancers of the gallbladder and thus warrant investigation as prognostic biomarkers.
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Affiliation(s)
- Ziru Liu
- Department of General Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhulin Yang
- Research Laboratory of Hepatobiliary Diseases, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
| | - Li Xiong
- Research Laboratory of Hepatobiliary Diseases, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Daiqiang Li
- Department of Pathology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Qiong Zou
- Department of Pathology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Yuan Yuan
- Department of Pathology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
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Gholizadeh N, Pundavela J, Nagarajan R, Dona A, Quadrelli S, Biswas T, Greer PB, Ramadan S. Nuclear magnetic resonance spectroscopy of human body fluids and in vivo magnetic resonance spectroscopy: Potential role in the diagnosis and management of prostate cancer. Urol Oncol 2020; 38:150-173. [PMID: 31937423 DOI: 10.1016/j.urolonc.2019.10.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 09/22/2019] [Accepted: 10/31/2019] [Indexed: 01/17/2023]
Abstract
Prostate cancer is the most common solid organ cancer in men, and the second most common cause of male cancer-related mortality. It has few effective therapies, and is difficult to diagnose accurately. Prostate-specific antigen (PSA), which is currently the most effective diagnostic tool available, cannot reliably discriminate between different pathologies, and in fact only around 30% of patients found to have elevated levels of PSA are subsequently confirmed to actually have prostate cancer. As such, there is a desperate need for more reliable diagnostic tools that will allow the early detection of prostate cancer so that the appropriate interventions can be applied. Nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance spectroscopy (MRS) are 2 high throughput, noninvasive analytical procedures that have the potential to enable differentiation of prostate cancer from other pathologies using metabolomics, by focusing specifically on certain metabolites which are associated with the development of prostate cancer cells and its progression. The value that this type of approach has for the early detection, diagnosis, prognosis, and personalized treatment of prostate cancer is becoming increasingly apparent. Recent years have seen many promising developments in the fields of NMR spectroscopy and MRS, with improvements having been made to hardware as well as to techniques associated with the acquisition, processing, and analysis of related data. This review focuses firstly on proton NMR spectroscopy of blood serum, urine, and expressed prostatic secretions in vitro, and then on 1- and 2-dimensional proton MRS of the prostate in vivo. Major advances in these fields and methodological principles of data collection, acquisition, processing, and analysis are described along with some discussion of related challenges, before prospects that proton MRS has for future improvements to the clinical management of prostate cancer are considered.
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Affiliation(s)
- Neda Gholizadeh
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW, Australia
| | - Jay Pundavela
- Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Rajakumar Nagarajan
- Human Magnetic Resonance Center, Institute for Applied Life Sciences, University of Massachusetts Amherst, MA, USA
| | - Anthony Dona
- Kolling Institute of Medical Research, Royal North Shore Hospital, University of Sydney, St Leonards, NSW, Australia
| | - Scott Quadrelli
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW, Australia; Radiology Department, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Tapan Biswas
- Department of Instrumentation and Electronics Engineering, Jadavpur University, Kolkata, India
| | - Peter B Greer
- School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, NSW, Australia; Radiation Oncology, Calvary Mater Newcastle, Newcastle, NSW, Australia
| | - Saadallah Ramadan
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW, Australia; Imaging Centre, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
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12
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Zheng H, Dong B, Ning J, Shao X, Zhao L, Jiang Q, Ji H, Cai A, Xue W, Gao H. NMR-based metabolomics analysis identifies discriminatory metabolic disturbances in tissue and biofluid samples for progressive prostate cancer. Clin Chim Acta 2019; 501:241-251. [PMID: 31758937 DOI: 10.1016/j.cca.2019.10.046] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Revised: 10/31/2019] [Accepted: 10/31/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND Prostate cancer (PCa) is one of the most common cancers in men, but its metabolic characteristics during tumor progression are still far from being fully understood. METHODS The metabolic profiles of matched tissue, serum and urine samples from the same patients were analyzed using a 1H NMR-based metabolomics approach. We identified several important metabolites that significantly altered at different stages of PCa, including benign prostatic hyperplasia (BPH), early PCa (EPC), advanced PCa (APC), metastatic PCa (MPC) and castration-resistant PCa (CRPC). Metabolic correlation networks among tissue, serum and urine samples were examined using Pearson's correlation. RESULTS The changes in metabolic phenotypes during the progression of PCa were more noticeable in tissue samples when compared with serum and urine samples. Herein we identified a series of important metabolic disturbances, including decreased trends of citrate, creatinine, acetate, leucine, valine, glycine, lysine, histidine, glutamine and choline as well as increased trends of uridine and formate. These metabolites are mainly implicated in energy metabolism, amino acid metabolism, choline and fatty acid metabolism as well as uridine metabolism. We also found that energy metabolism in tumor tissues was positively associated with amino acid metabolism in serum and urine. Additionally, CRPC patients had a peculiar metabolic phenotype, especially decreased amino acid metabolism in serum. CONCLUSIONS The present study characterizes metabolic disturbances in both tissue and biofluid samples during PCa progression and provides potential diagnostic biomarkers and therapeutic targets for PCa.
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Affiliation(s)
- Hong Zheng
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Baijun Dong
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Jie Ning
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Xiaoguang Shao
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Liangcai Zhao
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Qiaoying Jiang
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Hui Ji
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Aimin Cai
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Wei Xue
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
| | - Hongchang Gao
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China.
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13
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Abstract
At times, technologies fail for reasons other than an inability to deliver on their promises. The iconic Blackberry, for example, was once coined "Research in Motion", sold tens of millions of units, and then "disappeared" from the market because it did not accompany the new trends in design. Promising technologies may also "disappear" in the medical field. What follows is the tale of the rise and fall of proton magnetic resonance spectroscopic imaging (1H MRSI) of the prostate.
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14
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Giganti F, Rosenkrantz AB, Villeirs G, Panebianco V, Stabile A, Emberton M, Moore CM. The Evolution of MRI of the Prostate: The Past, the Present, and the Future. AJR Am J Roentgenol 2019; 213:384-396. [PMID: 31039022 DOI: 10.2214/ajr.18.20796] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE. The purpose of this article is to discuss the evolution of MRI in prostate cancer from the early 1980s to the current day, providing analysis of the key studies on this topic. CONCLUSION. The rapid diffusion of MRI technology has meant that residual variability remains between centers regarding the quality of acquisition and the quality and standardization of reporting.
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Affiliation(s)
- Francesco Giganti
- 1 Department of Radiology, University College London Hospital NHS Foundation Trust, London, United Kingdom
- 2 Division of Surgery and Interventional Science, University College London, 3rd Fl, Charles Bell House, 43-45 Foley St, London W1W 7TS, United Kingdom
| | | | - Geert Villeirs
- 4 Department of Radiology and Nuclear Medicine, Ghent University Hospital, Ghent, Belgium
| | - Valeria Panebianco
- 5 Department of Radiological Sciences, Oncology, and Pathology, Sapienza University of Rome, Rome, Italy
| | - Armando Stabile
- 2 Division of Surgery and Interventional Science, University College London, 3rd Fl, Charles Bell House, 43-45 Foley St, London W1W 7TS, United Kingdom
- 6 Department of Urology, Division of Experiemental Oncology, Vita-Salute San Raffaele University, Milan, Italy
| | - Mark Emberton
- 2 Division of Surgery and Interventional Science, University College London, 3rd Fl, Charles Bell House, 43-45 Foley St, London W1W 7TS, United Kingdom
- 7 Department of Urology, University College London Hospital NHS Foundation Trust, London, United Kingdom
| | - Caroline M Moore
- 2 Division of Surgery and Interventional Science, University College London, 3rd Fl, Charles Bell House, 43-45 Foley St, London W1W 7TS, United Kingdom
- 7 Department of Urology, University College London Hospital NHS Foundation Trust, London, United Kingdom
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15
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MacKinnon N, Ge W, Han P, Siddiqui J, Wei JT, Raghunathan T, Chinnaiyan AM, Rajendiran TM, Ramamoorthy A. NMR-Based Metabolomic Profiling of Urine: Evaluation for Application in Prostate Cancer Detection. Nat Prod Commun 2019. [DOI: 10.1177/1934578x19849978] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Detection of prostate cancer (PCa) and distinguishing indolent versus aggressive forms of the disease is a critical clinical challenge. The current clinical test is circulating prostate-specific antigen levels, which faces particular challenges in cancer diagnosis in the range of 4 to 10 ng/mL. Thus, a concerted effort toward building a noninvasive biomarker panel has developed. In this report, the hypothesis that nuclear magnetic resonance (NMR)-derived metabolomic profiles measured in the urine of biopsy-negative versus biopsy-positive individuals would nominate a selection of potential biomarker signals was investigated. 1H NMR spectra of urine samples from 317 individuals (111 biopsy-negative, 206 biopsy-positive) were analyzed. A double cross-validation partial least squares-discriminant analysis modeling technique was utilized to nominate signals capable of distinguishing the two classes. It was observed that after variable selection protocols were applied, a subset of 29 variables produced an area under the curve (AUC) value of 0.94 after logistic regression analysis, whereas a “master list” of 18 variables produced a receiver operating characteristic ROC) AUC of 0.80. As proof of principle, this study demonstrates the utility of NMR-based metabolomic profiling of urine biospecimens in the nomination of PCa-specific biomarker signals and suggests that further investigation is certainly warranted.
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Affiliation(s)
- Neil MacKinnon
- Biophysics, University of Michigan, Ann Arbor, MI, USA
- Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
| | - Wencheng Ge
- Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
| | - Peisong Han
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Javed Siddiqui
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - John T. Wei
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
- Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Trivellore Raghunathan
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Arul M. Chinnaiyan
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
- Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Thekkelnaycke M. Rajendiran
- Michigan Center for Translational Pathology, Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Ayyalusamy Ramamoorthy
- Biophysics, University of Michigan, Ann Arbor, MI, USA
- Department of Chemistry, University of Michigan, Ann Arbor, MI, USA
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16
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Dregely I, Prezzi D, Kelly‐Morland C, Roccia E, Neji R, Goh V. Imaging biomarkers in oncology: Basics and application to MRI. J Magn Reson Imaging 2018; 48:13-26. [PMID: 29969192 PMCID: PMC6587121 DOI: 10.1002/jmri.26058] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 03/26/2018] [Indexed: 12/12/2022] Open
Abstract
Cancer remains a global killer alongside cardiovascular disease. A better understanding of cancer biology has transformed its management with an increasing emphasis on a personalized approach, so-called "precision cancer medicine." Imaging has a key role to play in the management of cancer patients. Imaging biomarkers that objectively inform on tumor biology, the tumor environment, and tumor changes in response to an intervention complement genomic and molecular diagnostics. In this review we describe the key principles for imaging biomarker development and discuss the current status with respect to magnetic resonance imaging (MRI). LEVEL OF EVIDENCE 5 TECHNICAL EFFICACY: Stage 5 J. Magn. Reson. Imaging 2018;48:13-26.
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Affiliation(s)
- Isabel Dregely
- Biomedical Engineering, School of Biomedical Engineering & Imaging SciencesKing's Health Partners, St Thomas' HospitalLondon, UK
| | - Davide Prezzi
- Cancer Imaging, School of Biomedical Engineering & Imaging Sciences King's College London, King's Health Partners, St Thomas' Hospital, LondonUK
- RadiologyGuy's & St Thomas' NHS Foundation TrustLondonUK
| | - Christian Kelly‐Morland
- Cancer Imaging, School of Biomedical Engineering & Imaging Sciences King's College London, King's Health Partners, St Thomas' Hospital, LondonUK
- RadiologyGuy's & St Thomas' NHS Foundation TrustLondonUK
| | - Elisa Roccia
- Biomedical Engineering, School of Biomedical Engineering & Imaging SciencesKing's Health Partners, St Thomas' HospitalLondon, UK
| | - Radhouene Neji
- Biomedical Engineering, School of Biomedical Engineering & Imaging SciencesKing's Health Partners, St Thomas' HospitalLondon, UK
- MR Research CollaborationsSiemens HealthcareFrimleyUK
| | - Vicky Goh
- Cancer Imaging, School of Biomedical Engineering & Imaging Sciences King's College London, King's Health Partners, St Thomas' Hospital, LondonUK
- RadiologyGuy's & St Thomas' NHS Foundation TrustLondonUK
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17
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Kumar V, Bora GS, Kumar R, Jagannathan NR. Multiparametric (mp) MRI of prostate cancer. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2018; 105:23-40. [PMID: 29548365 DOI: 10.1016/j.pnmrs.2018.01.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 01/17/2018] [Accepted: 01/28/2018] [Indexed: 06/08/2023]
Abstract
Prostate cancer (PCa) is one of the most prevalent cancers in men. A large number of men are detected with PCa; however, the clinical behavior ranges from low-grade indolent tumors that never develop into a clinically significant disease to aggressive, invasive tumors that may rapidly progress to metastatic disease. The challenges in clinical management of PCa are at levels of screening, diagnosis, treatment, and follow-up after treatment. Magnetic resonance imaging (MRI) methods have shown a potential role in detection, localization, staging, assessment of aggressiveness, targeting biopsies, etc. in PCa patients. Multiparametric MRI (mpMRI) is emerging as a better option compared to the individual imaging methods used in the evaluation of PCa. There are attempts to improve the reproducibility and reliability of mpMRI by using an objective scoring system proposed in the prostate imaging reporting and data system (PIRADS) for standardized reporting. Prebiopsy mpMRI may be used to detect PCa in men with elevated prostate-specific antigen or abnormal digital rectal examination and to enable targeted biopsies. mpMRI can also be used to decide on clinical management of patients, for example active surveillance, and may help in detecting only the pathology that requires detection. It can potentially not only guide patient selection for initial and repeat biopsy but also reduce false-negative biopsies. This review presents a description of the MR methods most commonly applied for investigations of prostate. The anatomical, functional and metabolic parameters obtained from these MR methods are discussed with regard to their physical basis and their contribution to mpMRI investigations of PCa.
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Affiliation(s)
- Virendra Kumar
- Department of NMR & MRI Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
| | - Girdhar S Bora
- Department of Urology, Post-Graduate Institute of Medical Sciences, Chandigarh 160012, India
| | - Rajeev Kumar
- Department of Urology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - Naranamangalam R Jagannathan
- Department of NMR & MRI Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
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18
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Michopoulos F. Ion Pair Chromatography for Endogenous Metabolites LC-MS Analysis in Tissue Samples Following Targeted Acquisition. Methods Mol Biol 2018; 1738:83-97. [PMID: 29654584 DOI: 10.1007/978-1-4939-7643-0_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
A protocol for the preparation of tissue extracts for the targeted analysis of ca. 150 polar metabolites, including those involved in central carbon metabolism is described, using a reversed-phase ion pair U(H)PLC-MS method. Data collection enabled by multiple-reaction monitoring provides highly specific, sensitive acquisition of metabolic intermediates with a wide range of physicochemical properties and pathway coverage. Technical aspects are discussed for method transfer along with the basic principles of sample sequence setup, data analysis, and validation. General comments are given to help the assessment of data quality and system performance.
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19
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Lahoti AM, Dhok AP, Rantnaparkhi CR, Rawat JS, Chandak NU, Tawari HS. Role of Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy and Transrectal Ultrasound in Evaluation of Prostatic Pathologies with Focus on Prostate Cancer. Pol J Radiol 2017; 82:827-836. [PMID: 29657651 PMCID: PMC5894040 DOI: 10.12659/pjr.903958] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 03/28/2017] [Indexed: 12/31/2022] Open
Abstract
Background Prostate cancer (PC) is an important medical and socio-economical problem due to its increasing incidence. The development of the prostate specific antigen (PSA) test, and a continuing decrease in the rates of other common neoplasms, such as lung and stomach since mid-1980s, prostate cancer has become one of the most common cancers among men. Prostate cancer (PC) is the second most common cancer in men, preceded only by lung cancer, and its early diagnosis is crucial for a successful treatment, that will prolong survival and improve quality of life.The main objective of our study was to evaluate the role of magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS) and transrectal ultrasound (TRUS) in detecting prostatic pathologies and staging of prostate cancer by correlating these methods with histopathological results. Material/Methods The study is a cross-sectional diagnostic study performed in 66 patients with a high degree of clinical suspicion of prostatic pathology. All patients underwent TRUS, T1W, T2W, DWI, and 3D PRESSMRS sequences, and we also calculated ADC values and Cho Cr/Cit MRS ratios for all patients. Results Combination of MRI and MRS showed the highest diagnostic accuracy among the imaging modalities in detecting of prostatic neoplasm, followed by MRI, and then by TRUS. MRS plays a complementary role to MRI, by increasing its diagnostic accuracy. Due to a high cost, limited availability and increased scanning time, combination of MRI and MRS is currently not recommended as a first line investigation for detecting prostate neoplasms, hence USG (TRUS) remains the first line investigation due to its low cost, easy availability, time effectiveness and comparable efficacy. Conclusions MRI MRS has more diagnostic accuracy than MRI alone for detection of prostate pathologies. MRS, plays significant complementary role and should be included in the routine MR imaging protocols. MRI helps in diagnosis, localization, better tissue characterization and staging of prostate cancer. TRUS is easily available, cost effective and has comparable efficacy.
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Affiliation(s)
- Amol Madanlal Lahoti
- Department of Radiodiagnosis, NKP Salve Institute of Medical Sciences and Lata Mangeshkar Hospital, Nagpur, Maharashtra India
| | - Avinash Parshuram Dhok
- Department of Radiodiagnosis, NKP Salve Institute of Medical Sciences and Lata Mangeshkar Hospital, Nagpur, Maharashtra India
| | - Chetana Ramesh Rantnaparkhi
- Department of Radiodiagnosis, NKP Salve Institute of Medical Sciences and Lata Mangeshkar Hospital, Nagpur, Maharashtra India
| | - Jitesh Subhash Rawat
- Department of Radiodiagnosis, NKP Salve Institute of Medical Sciences and Lata Mangeshkar Hospital, Nagpur, Maharashtra India
| | - Nihar Umakant Chandak
- Department of Surgery, NKP Salve Institute of Medical Sciences and Lata Mangeshkar Hospital, Nagpur, Maharashtra India
| | - Hitesh Sharad Tawari
- Department of Pathology, NKP Salve Institute of Medical Sciences and Lata Mangeshkar Hospital, Nagpur, Maharashtra India
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20
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Tayari N, Heerschap A, Scheenen TW, Kobus T. In vivo MR spectroscopic imaging of the prostate, from application to interpretation. Anal Biochem 2017; 529:158-170. [DOI: 10.1016/j.ab.2017.02.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2016] [Revised: 12/23/2016] [Accepted: 02/01/2017] [Indexed: 12/15/2022]
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21
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Gambarota G. Optimization of metabolite detection by quantum mechanics simulations in magnetic resonance spectroscopy. Anal Biochem 2017; 529:65-78. [DOI: 10.1016/j.ab.2016.08.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2016] [Revised: 07/31/2016] [Accepted: 08/22/2016] [Indexed: 10/21/2022]
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22
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Al Kadhi O, Melchini A, Mithen R, Saha S. 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 2017; 2017:5391832. [PMID: 29075551 PMCID: PMC5624170 DOI: 10.1155/2017/5391832] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 06/05/2017] [Indexed: 05/05/2023]
Abstract
It is now well-established that perturbations in the tricarboxylic acid (TCA) cycle play an important role in the metabolic transformation occurring in cancer including that of the prostate. A method for simultaneous qualitative and quantitative analysis of TCA cycle intermediates in body fluids, tissues, and cultured cell lines of human origin was developed using a common C18 reversed-phase column by LC-MS/MS technique. This LC-MS/MS method for profiling TCA cycle intermediates offers significant advantages including simple and fast preparation of a wide range of human biological samples. The analytical method was validated according to the guideline of the Royal Society of Chemistry Analytical Methods Committee. The limits of detection were below 60 nM for most of the TCA intermediates with the exception of lactic and fumaric acids. The calibration curves of all TCA analytes showed linearity with correlation coefficients r2 > 0.9998. Recoveries were >95% for all TCA analytes. This method was established taking into consideration problems and limitations of existing techniques. We envisage that its application to different biological matrices will facilitate deeper understanding of the metabolic changes in the TCA cycle from in vitro, ex vivo, and in vivo studies.
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Affiliation(s)
- Omar Al Kadhi
- Food and Health Programme, Quadram Institute Bioscience, Norwich NR4 7UA, UK
- Department of Urology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich NR4 7UY, UK
| | - Antonietta Melchini
- Food and Health Programme, Quadram Institute Bioscience, Norwich NR4 7UA, UK
| | - Richard Mithen
- Food and Health Programme, Quadram Institute Bioscience, Norwich NR4 7UA, UK
| | - Shikha Saha
- Food and Health Programme, Quadram Institute Bioscience, Norwich NR4 7UA, UK
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23
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Kumar D, Gupta A, Nath K. NMR-based metabolomics of prostate cancer: a protagonist in clinical diagnostics. Expert Rev Mol Diagn 2016; 16:651-61. [PMID: 26959614 DOI: 10.1586/14737159.2016.1164037] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Advances in the application of NMR spectroscopy-based metabolomic profiling of prostate cancer comprises a potential tactic for understanding the impaired biochemical pathways arising due to a disease evolvement and progression. This technique involves qualitative and quantitative estimation of plethora of small molecular weight metabolites of body fluids or tissues using state-of-the-art chemometric methods delivering an important platform for translational research from basic to clinical, to reveal the pathophysiological snapshot in a single step. This review summarizes the present arrays and recent advancements in NMR-based metabolomics and a glimpse of currently used medical imaging tactics, with their role in clinical diagnosis of prostate cancer.
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Affiliation(s)
- Deepak Kumar
- a Centre of Biomedical Research, SGPGIMS Campus , Lucknow , UP , India
| | - Ashish Gupta
- a Centre of Biomedical Research, SGPGIMS Campus , Lucknow , UP , India
| | - Kavindra Nath
- b Department of Radiology , University of Pennsylvania , Philadelphia , PA , USA
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24
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Simpson R, Devenyi GA, Jezzard P, Hennessy TJ, Near J. Advanced processing and simulation of
MRS
data using the
FID
appliance (
FID‐A
)—An open source,
MATLAB
‐based toolkit. Magn Reson Med 2015; 77:23-33. [DOI: 10.1002/mrm.26091] [Citation(s) in RCA: 164] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Revised: 11/24/2015] [Accepted: 11/24/2015] [Indexed: 02/04/2023]
Affiliation(s)
- Robin Simpson
- Department of Radiology, Medical PhysicsFreiburg UniversityFreiburg Germany
| | - Gabriel A. Devenyi
- Centre d'Imagerie CérébraleDouglas Mental Health University InstituteMontreal Canada
| | - Peter Jezzard
- FMRIB Centre, Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxford UK
| | - T. Jay Hennessy
- Centre d'Imagerie CérébraleDouglas Mental Health University InstituteMontreal Canada
- Department of Biomedical EngineeringMcGill UniversityMontreal Canada
| | - Jamie Near
- Centre d'Imagerie CérébraleDouglas Mental Health University InstituteMontreal Canada
- Department of Biomedical EngineeringMcGill UniversityMontreal Canada
- Department of PsychiatryMcGill UniversityMontreal Canada
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25
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Nagarajan R, Iqbal Z, Burns B, Wilson NE, Sarma MK, Margolis DA, Reiter RE, Raman SS, Thomas MA. Accelerated echo planar J-resolved spectroscopic imaging in prostate cancer: a pilot validation of non-linear reconstruction using total variation and maximum entropy. NMR IN BIOMEDICINE 2015; 28:1366-73. [PMID: 26346702 PMCID: PMC4618758 DOI: 10.1002/nbm.3373] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Revised: 07/16/2015] [Accepted: 07/17/2015] [Indexed: 05/27/2023]
Abstract
The overlap of metabolites is a major limitation in one-dimensional (1D) spectral-based single-voxel MRS and multivoxel-based MRSI. By combining echo planar spectroscopic imaging (EPSI) with a two-dimensional (2D) J-resolved spectroscopic (JPRESS) sequence, 2D spectra can be recorded in multiple locations in a single slice of prostate using four-dimensional (4D) echo planar J-resolved spectroscopic imaging (EP-JRESI). The goal of the present work was to validate two different non-linear reconstruction methods independently using compressed sensing-based 4D EP-JRESI in prostate cancer (PCa): maximum entropy (MaxEnt) and total variation (TV). Twenty-two patients with PCa with a mean age of 63.8 years (range, 46-79 years) were investigated in this study. A 4D non-uniformly undersampled (NUS) EP-JRESI sequence was implemented on a Siemens 3-T MRI scanner. The NUS data were reconstructed using two non-linear reconstruction methods, namely MaxEnt and TV. Using both TV and MaxEnt reconstruction methods, the following observations were made in cancerous compared with non-cancerous locations: (i) higher mean (choline + creatine)/citrate metabolite ratios; (ii) increased levels of (choline + creatine)/spermine and (choline + creatine)/myo-inositol; and (iii) decreased levels of (choline + creatine)/(glutamine + glutamate). We have shown that it is possible to accelerate the 4D EP-JRESI sequence by four times and that the data can be reliably reconstructed using the TV and MaxEnt methods. The total acquisition duration was less than 13 min and we were able to detect and quantify several metabolites.
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Affiliation(s)
- Rajakumar Nagarajan
- Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Zohaib Iqbal
- Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Brian Burns
- Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Neil E. Wilson
- Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Manoj K. Sarma
- Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Daniel A. Margolis
- Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - Robert E. Reiter
- Urology, University of California Los Angeles, Los Angeles, CA, United States
| | - Steven S. Raman
- Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
| | - M. Albert Thomas
- Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
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26
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Ma C, Chen L, Scheenen TWJ, Lu J, Wang J. Three-dimensional proton magnetic resonance spectroscopic imaging with and without an endorectal coil: a prostate phantom study. Acta Radiol 2015; 56:1342-9. [PMID: 25348479 DOI: 10.1177/0284185114556704] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 09/25/2014] [Indexed: 12/15/2022]
Abstract
BACKGROUND Proton magnetic resonance spectroscopic imaging (MRSI) of the prostate has been used with only a combination of external surface coils. The quality of spectral fitting of the (choline + creatine)/citrate ([Cho + Cr]/Cit) ratio at different field strengths and different coils is important for quantitative/semi-quantitative diagnosis of prostate cancer. PURPOSE To evaluate the quality of spectral fitting of the (Cho + Cr)/Cit ratio of a prostate phantom using MRSI at different field strengths and various coils. MATERIAL AND METHODS Experiments were using 1.5-T and 3.0-T MR systems. Measurements were taken on a homemade prostate phantom with different coils: spinal array; abdominal array; and endorectal. The signal-to-noise ratio (SNR) of choline, creatine, and citrate peaks as well as the (Cho + Cr)/Cit ratio in each voxel were compared among groups using multi-way analysis of variance. RESULTS Magnetic field strength, coils, and plane position had a significant effect on the SNR or (Cho + Cr)/Cit ratio, and there were interactions among groups (all P = 0.000). The 1.5-T (0.228 ± 0.044) exhibited a higher (Cho + Cr)/Cit ratio than the 3.0-T (0.125 ± 0.041) magnetic field strength (F = 3238, P = 0.000). The (Cho + Cr)/Cit ratio of both surface coils (0.183 ± 0.065) and all coils (0.181 ± 0.057) was significantly lower than that of the endorectal coil (0.195 ± 0.077) (both P < 0.05), but significant differences in the mean (Cho + Cr)/Cit ratio were not observed if surface coils and all coils were used (P > 0.05). No significant differences were found among the (Cho + Cr)/Cit ratios of all voxels in the middle planes by the post-hoc analyses (all P > 0.05). CONCLUSION Three-dimensional proton MRSI of prostate metabolites in a phantom using surface coils is feasible and reliable, but (Cho + Cr)/Cit ratios acquired at different magnetic fields and coils were different. This difference should be taken into account when calculating this ratio in a field strength-independent way.
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Affiliation(s)
- Chao Ma
- Department of Radiology, Changhai Hospital of Shanghai, the Second Military Medical University, Shanghai, PR China
| | - Luguang Chen
- Department of Radiology, Changhai Hospital of Shanghai, the Second Military Medical University, Shanghai, PR China
| | - Tom WJ Scheenen
- Department of Radiology, Radboud University Medical Centre, Nijmegen, Gelderland, The Netherlands
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, the Second Military Medical University, Shanghai, PR China
| | - Jian Wang
- Department of Radiology, Changhai Hospital of Shanghai, the Second Military Medical University, Shanghai, PR China
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27
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Kobus T, van der Laak JAWM, Maas MC, Hambrock T, Bruggink CC, Hulsbergen-van de Kaa CA, Scheenen TWJ, Heerschap A. Contribution of Histopathologic Tissue Composition to Quantitative MR Spectroscopy and Diffusion-weighted Imaging of the Prostate. Radiology 2015; 278:801-11. [PMID: 26418614 DOI: 10.1148/radiol.2015142889] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To determine associations of metabolite levels derived from magnetic resonance (MR) spectroscopic imaging (ie, hydrogen 1 [(1)H] MR spectroscopic imaging) and apparent diffusion coefficients (ADCs) from diffusion-weighted imaging with prostate tissue composition assessed by digital image analysis of histologic sections. MATERIALS AND METHODS Institutional ethical review board approved this retrospective study and waived informed consent. Fifty-seven prostate cancer patients underwent an MR examination followed by prostatectomy. One hematoxylin and eosin-stained section of the resected prostate per patient was digitized and computationally segmented into nuclei, lumen, and combination of epithelial cytoplasm and stroma. On each stained section, regions of interest (ROIs) were chosen and matched to the corresponding ADC map and (1)H MR spectroscopic imaging voxels. ADC and two metabolite ratios (citrate [Cit], spermine [Spm], and creatine [Cr] to choline [Cho] and Cho to Cr plus Spm) were correlated with percentage areas of nuclei, lumen, and cytoplasm and stroma for peripheral zone (PZ), transition zone (TZ), and tumor tissue in both zones of the prostate by using a linear mixed-effect model and Spearman correlation coefficient (ρ). RESULTS ADC and (Cit + Spm + Cr)/Cho ratio showed positive correlation with percentage area of lumen (ρ = 0.43 and 0.50, respectively) and negative correlation with percentage area of nuclei (ρ = -0.29 and -0.26, respectively). The Cho/(Cr + Spm) ratio showed negative association with percentage area of lumen (ρ = -0.40) and positive association with area of nuclei (ρ = 0.26). Percentage areas of lumen and nuclei, (Cit + Spm + Cr)/Cho ratio, and ADC were significantly different (P < .001) between benign PZ (23.7 and 7.7, 8.83, and 1.58 × 10(-3) mm(2)/sec, respectively) and tumor PZ tissue (11.4 and 12.5, 5.13, and 1.20 × 10(-3) mm(2)/sec, respectively). These parameters were also significantly different between benign TZ (20.0 and 8.2, 6.50, and 1.26 × 10(-3) mm(2)/sec, respectively) and tumor TZ tissue (9.8 and 11.2, 4.36, and 1.03 × 10(-3) mm(2)/sec, respectively). CONCLUSION The observed correlation of (Cit + Spm + Cr)/Cho ratio and ADC of the prostate with its tissue composition indicates that components of this composition, such as percentage luminal area, contribute to the value of these MR parameters.
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Affiliation(s)
- Thiele Kobus
- From the Department of Radiology and Nuclear Medicine (T.K., M.C.M., T.H., C.C.B., T.W.J.S., A.H.) and Department of Pathology (J.A.W.M.v.d.L., C.A.H.v.d.K.), Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands
| | - Jeroen A W M van der Laak
- From the Department of Radiology and Nuclear Medicine (T.K., M.C.M., T.H., C.C.B., T.W.J.S., A.H.) and Department of Pathology (J.A.W.M.v.d.L., C.A.H.v.d.K.), Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands
| | - Marnix C Maas
- From the Department of Radiology and Nuclear Medicine (T.K., M.C.M., T.H., C.C.B., T.W.J.S., A.H.) and Department of Pathology (J.A.W.M.v.d.L., C.A.H.v.d.K.), Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands
| | - Thomas Hambrock
- From the Department of Radiology and Nuclear Medicine (T.K., M.C.M., T.H., C.C.B., T.W.J.S., A.H.) and Department of Pathology (J.A.W.M.v.d.L., C.A.H.v.d.K.), Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands
| | - Caroline C Bruggink
- From the Department of Radiology and Nuclear Medicine (T.K., M.C.M., T.H., C.C.B., T.W.J.S., A.H.) and Department of Pathology (J.A.W.M.v.d.L., C.A.H.v.d.K.), Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands
| | - Christina A Hulsbergen-van de Kaa
- From the Department of Radiology and Nuclear Medicine (T.K., M.C.M., T.H., C.C.B., T.W.J.S., A.H.) and Department of Pathology (J.A.W.M.v.d.L., C.A.H.v.d.K.), Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands
| | - Tom W J Scheenen
- From the Department of Radiology and Nuclear Medicine (T.K., M.C.M., T.H., C.C.B., T.W.J.S., A.H.) and Department of Pathology (J.A.W.M.v.d.L., C.A.H.v.d.K.), Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands
| | - Arend Heerschap
- From the Department of Radiology and Nuclear Medicine (T.K., M.C.M., T.H., C.C.B., T.W.J.S., A.H.) and Department of Pathology (J.A.W.M.v.d.L., C.A.H.v.d.K.), Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands
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Cacciatore S, Loda M. Innovation in metabolomics to improve personalized healthcare. Ann N Y Acad Sci 2015; 1346:57-62. [PMID: 26014591 DOI: 10.1111/nyas.12775] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2014] [Revised: 03/30/2015] [Accepted: 03/30/2015] [Indexed: 12/21/2022]
Abstract
Metabolomics is the systemic study of all small molecules (metabolites) and their concentration as affected by pathological and physiological alterations or environmental or other factors. Metabolic alterations represent a "window" on the complex interactions between genetic expression, enzyme activity, and metabolic reactions. Techniques, including nuclear magnetic resonance spectroscopy, mass spectrometry, Fourier-transform infrared, and Raman spectroscopy, have led to significant advances in metabolomics. The field is shifting from feasibility studies to biological and clinical applications. Fields of application range from cancer biology to stem cell research and assessment of xenobiotics and drugs in tissues and single cells. Cross-validation across high-throughput platforms has allowed findings from expression profiling to be confirmed with metabolomics. Specific genetic alterations appear to drive unique metabolic programs. These, in turn, can be used as biomarkers of genetic subtypes of prostate cancer or as discovery tools for therapeutic targeting of metabolic enzymes. Thus, metabolites in blood may serve as biomarkers of tumor state, including inferring driving oncogenes. Novel applications such as these suggest that metabolic profiling may be utilized in refining personalized medicine.
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Affiliation(s)
- Stefano Cacciatore
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Massimo Loda
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.,Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,The Broad Institute, Cambridge, Massachusetts.,Division of Cancer Studies, King's College London, London, United Kingdom
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Huang J, He F, Huang M, Liu X, Xiong Y, Huang Y, Zhu L, Yang Y, Xu X, Yuan M. Novel naftopidil-related derivatives and their biological effects as alpha1-adrenoceptors antagonists and antiproliferative agents. Eur J Med Chem 2015; 96:83-91. [PMID: 25874333 DOI: 10.1016/j.ejmech.2015.04.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Revised: 03/30/2015] [Accepted: 04/03/2015] [Indexed: 10/23/2022]
Abstract
Eleven novel naftopidil-related compounds that contain amide and indole groups were designed and synthesized. The biological effects of these compounds on three α1-adrenoceptor subtypes and cancerous human prostate cell lines (PC-3, DU-145, and LNCaP) were determined. Compounds 2, 3, 5, 11, and 12 exhibited an α1-adrenoceptor antagonistic activity, whereas compounds 9, 10, and 12 displayed moderate antiproliferative activities. Compound 3 exhibited a significant α(1D/1A) blocking activity in isolated rat tissues (97.7- and 64.6-fold selective for α(1D) and α(1A) compared with α(1B)) but not a relevant cytotoxic activity. Compound 12 demonstrated a potent and selective α(1D/1A) antagonistic activity (47.9- and 19.1-fold for α(1D) and α(1A) compared with α1B) and a potent antiproliferative activity in PC-3 cells (IC50 = 15.70 μM). Further testing confirmed that compound 12 inhibited the growth of PC-3 cells by inducing apoptosis and G0/G1 cell cycle arrest, which was mediated by α1-adrenoceptor. Therefore, compound 12 is a potential multipotent agent that can act as an effective α1-adrenoceptor subtype antagonist for treating benign prostatic hyperplasia and a preventive medication against human prostate cancer.
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Affiliation(s)
- Junjun Huang
- Pharmaceutical Research Center, Department of Pharmacology, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Fei He
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Department of Plant Pathology, South China Agricultural University, Guangzhou 510642, PR China
| | - Minyi Huang
- Pharmaceutical Research Center, Department of Pharmacology, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Xiawen Liu
- Pharmaceutical Research Center, Department of Pharmacology, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Yan Xiong
- Guangzhou Research Institute of Snake Venom, Department of Pharmacology, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Yajian Huang
- Pharmaceutical Research Center, Department of Pharmacology, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Liu Zhu
- Pharmaceutical Research Center, Department of Pharmacology, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Ya Yang
- Department of Pharmacology, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Xingjie Xu
- Pharmaceutical Research Center, Department of Pharmacology, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Mu Yuan
- Pharmaceutical Research Center, Department of Pharmacology, Guangzhou Medical University, Guangzhou 510182, PR China.
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Kumar A, Kroetsch T, Blondin P, Anzar M. Fertility-associated metabolites in bull seminal plasma and blood serum:1H nuclear magnetic resonance analysis. Mol Reprod Dev 2015; 82:123-31. [DOI: 10.1002/mrd.22450] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Accepted: 12/03/2014] [Indexed: 12/11/2022]
Affiliation(s)
- Ajeet Kumar
- Canadian Animal Genetic Resource Program; Agriculture and Agri-Food Canada; Saskatoon Research Center; Saskatoon Saskatchewan Canada
- Department of Veterinary Biomedical Sciences; Western College of Veterinary Medicine; University of Saskatchewan; Saskatoon Saskatchewan Canada
| | | | | | - Muhammad Anzar
- Canadian Animal Genetic Resource Program; Agriculture and Agri-Food Canada; Saskatoon Research Center; Saskatoon Saskatchewan Canada
- Department of Veterinary Biomedical Sciences; Western College of Veterinary Medicine; University of Saskatchewan; Saskatoon Saskatchewan Canada
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31
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Gaude E, Frezza C. Defects in mitochondrial metabolism and cancer. Cancer Metab 2014; 2:10. [PMID: 25057353 PMCID: PMC4108232 DOI: 10.1186/2049-3002-2-10] [Citation(s) in RCA: 168] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Accepted: 07/09/2014] [Indexed: 02/03/2023] Open
Abstract
Cancer is a heterogeneous set of diseases characterized by different molecular and cellular features. Over the past decades, researchers have attempted to grasp the complexity of cancer by mapping the genetic aberrations associated with it. In these efforts, the contribution of mitochondria to the pathogenesis of cancer has tended to be neglected. However, more recently, a growing body of evidence suggests that mitochondria play a key role in cancer. In fact, dysfunctional mitochondria not only contribute to the metabolic reprogramming of cancer cells but they also modulate a plethora of cellular processes involved in tumorigenesis. In this review, we describe the link between mutations to mitochondrial enzymes and tumor formation. We also discuss the hypothesis that mutations to mitochondrial and nuclear DNA could cooperate to promote the survival of cancer cells in an evolving metabolic landscape.
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Affiliation(s)
- Edoardo Gaude
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Cambridge Biomedical Campus, Box 197, Cambridge CB2 0XZ, UK
| | - Christian Frezza
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Cambridge Biomedical Campus, Box 197, Cambridge CB2 0XZ, UK
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32
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Phosphorus Magnetic Resonance Spectroscopic Imaging at 7 T in Patients With Prostate Cancer. Invest Radiol 2014; 49:363-72. [DOI: 10.1097/rli.0000000000000012] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Kobus T, Wright AJ, Weiland E, Heerschap A, Scheenen TWJ. Metabolite ratios in 1H MR spectroscopic imaging of the prostate. Magn Reson Med 2014; 73:1-12. [PMID: 24488656 DOI: 10.1002/mrm.25122] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2013] [Revised: 11/18/2013] [Accepted: 12/17/2013] [Indexed: 12/24/2022]
Abstract
In (1)H MR spectroscopic imaging ((1)H-MRSI) of the prostate the spatial distribution of the signal levels of the metabolites choline, creatine, polyamines, and citrate are assessed. The ratio of choline (plus spermine as the main polyamine) plus creatine over citrate [(Cho+(Spm+)Cr)/Cit] is derived from these metabolites and is used as a marker for the presence of prostate cancer. In this review, the factors that are of importance for the metabolite ratio are discussed. This is relevant, because the appearance of the metabolites in the spectrum depends not only on the underlying anatomy, metabolism, and physiology of the tissue, but also on acquisition parameters. These parameters influence especially the spectral shapes of citrate and spermine resonances, and consequently, the (Cho+(Spm+)Cr)/Cit ratio. Both qualitative and quantitative approaches can be used for the evaluation of (1)H-MRSI spectra of the prostate. For the quantitative approach, the (Cho+(Spm+)Cr)/Cit ratio can be determined by integration or by a fit based on model signals. Using the latter, the influence of the acquisition parameters on citrate can be taken into account. The strong overlap between the choline, creatine, and spermine resonances complicates fitting of the individual metabolites. This overlap and (unknown, possibly tissue-related) variations in T1, T2, and J-modulation hamper the application of corrections needed for a "normalized" (Cho+(Spm+)Cr)/Cit ratio that would enable comparison of spectra measured with different prostate MR spectroscopy protocols. Quantitative (Cho+(Spm+)Cr)/Cit thresholds for the evaluation of prostate cancer are therefore commonly established per institution or per protocol. However, if the same acquisition and postprocessing protocol were used, the ratio and the thresholds would be institution-independent, promoting the clinical usability of prostate (1)H-MRSI.
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Affiliation(s)
- Thiele Kobus
- Radboud University Medical Centre, Radiology Department, Nijmegen, The Netherlands
| | - Alan J Wright
- Radboud University Medical Centre, Radiology Department, Nijmegen, The Netherlands
| | | | - Arend Heerschap
- Radboud University Medical Centre, Radiology Department, Nijmegen, The Netherlands
| | - Tom W J Scheenen
- Radboud University Medical Centre, Radiology Department, Nijmegen, The Netherlands
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Thomas MA, Nagarajan R, Huda A, Margolis D, Sarma MK, Sheng K, Reiter RE, Raman SS. Multidimensional MR spectroscopic imaging of prostate cancer in vivo. NMR IN BIOMEDICINE 2014; 27:53-66. [PMID: 23904127 DOI: 10.1002/nbm.2991] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Revised: 04/12/2013] [Accepted: 05/21/2013] [Indexed: 06/02/2023]
Abstract
Prostate cancer (PCa) is the second most common type of cancer among men in the United States. A major limitation in the management of PCa is an inability to distinguish, early on, cancers that will progress and become life threatening. One-dimensional (1D) proton ((1)H) MRS of the prostate provides metabolic information such as levels of choline (Ch), creatine (Cr), citrate (Cit), and spermine (Spm) that can be used to detect and diagnose PCa. Ex vivo high-resolution magic angle spinning (HR-MAS) of PCa specimens has revealed detection of more metabolites such as myo-inositol (mI), glutamate (Glu), and glutamine (Gln). Due to the J-modulation and signal overlap, it is difficult to quantitate Spm and other resonances in the prostate clearly by single- and multivoxel-based 1D MR spectroscopy. This limitation can be minimized by adding at least one more spectral dimension by which resonances can be spread apart, thereby increasing the spectral dispersion. However, recording of multivoxel-based two-dimensional (2D) MRS such as J-resolved spectroscopy (JPRESS) and correlated spectroscopy (L-COSY) combined with 2D or three-dimensional (3D) magnetic resonance spectroscopic imaging (MRSI) using conventional phase-encoding can be prohibitively long to be included in a clinical protocol. To reduce the long acquisition time required for spatial encoding, the echo-planar spectroscopic imaging (EPSI) technique has been combined with correlated spectroscopy to give four-dimensional (4D) echo-planar correlated spectroscopic imaging (EP-COSI) as well as J-resolved spectroscopic imaging (EP-JRESI) and the multi-echo (ME) variants. Further acceleration can be achieved using non-uniform undersampling (NUS) and reconstruction using compressed sensing (CS). Earlier versions of 2D MRS, theory of 2D MRS, spectral apodization filters, newer developments and the potential role of multidimensional MRS in PCa detection and management will be reviewed here.
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Affiliation(s)
- M Albert Thomas
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
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Kobus T, Wright AJ, Scheenen TWJ, Heerschap A. Mapping of prostate cancer by 1H MRSI. NMR IN BIOMEDICINE 2014; 27:39-52. [PMID: 23761200 DOI: 10.1002/nbm.2973] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2013] [Revised: 04/08/2013] [Accepted: 04/13/2013] [Indexed: 06/02/2023]
Abstract
In many studies, it has been demonstrated that (1)H MRSI of the human prostate has great potential to aid prostate cancer management, e.g. in the detection and localisation of cancer foci in the prostate or in the assessment of its aggressiveness. It is particularly powerful in combination with T2 -weighted MRI. Nevertheless, the technique is currently mainly used in a research setting. This review provides an overview of the state-of-the-art of three-dimensional MRSI, including the specific hardware required, dedicated data acquisition sequences and information on the spectral content with background on the MR-visible metabolites. In clinical practice, it is important that relevant MRSI results become available rapidly, reliably and in an easy digestible way. However, this functionality is currently not fully available for prostate MRSI, which is a major obstacle for routine use by inexperienced clinicians. Routine use requires more automation in the processing of raw data than is currently available. Therefore, we pay specific attention in this review on the status and prospects of the automated handling of prostate MRSI data, including quality control. The clinical potential of three-dimensional MRSI of the prostate is illustrated with literature examples on prostate cancer detection, its localisation in the prostate, its role in the assessment of cancer aggressiveness and in the selection and monitoring of therapy.
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Affiliation(s)
- Thiele Kobus
- Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands
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Lagemaat MW, Scheenen TWJ. Role of high-field MR in studies of localized prostate cancer. NMR IN BIOMEDICINE 2014; 27:67-79. [PMID: 23703839 DOI: 10.1002/nbm.2967] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2012] [Revised: 03/12/2013] [Accepted: 03/28/2013] [Indexed: 06/02/2023]
Abstract
Magnetic resonance imaging is attracting increasing attention from the uroradiological community as a modality to guide the management of prostate cancer. With the high incidence of prostate cancer it might come as a surprise that for a very long time (and in many places even at present) treatment decisions were being made without the use of detailed anatomical and functional imaging of the prostate gland at hand. Although T2 -weighted MRI can provide great anatomical detail, by itself it is not specific enough to discriminate cancer from benign disease, so other functional MRI techniques have been explored to aid in detection, localization, staging and risk assessment of prostate cancer. With the current evolution of clinical MR systems from 1.5 to 3 T it is important to understand the advantages and the challenges of the higher magnetic field strength for the different functional MR techniques most used in the prostate: T2 -weighted MRI, diffusion-weighted MRI, MR spectroscopic imaging and dynamic contrast-enhanced imaging. In addition to this, the use of the endorectal coil at different field strengths is discussed in this review, together with an outlook of the possibilities of ultra-high-field MR for the prostate.
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Affiliation(s)
- Miriam W Lagemaat
- Department of Radiology (766), Radboud University Nijmegen Medical Centre, The Netherlands
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Li B, Du Y, Yang H, Huang Y, Meng J, Xiao D. Magnetic resonance imaging for prostate cancer clinical application. Chin J Cancer Res 2013; 25:240-9. [PMID: 23592906 DOI: 10.3978/j.issn.1000-9604.2013.03.06] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2012] [Accepted: 12/14/2012] [Indexed: 01/16/2023] Open
Abstract
As prostate cancer is a biologically heterogeneous disease for which a variety of treatment options are available, the major objective of prostate cancer imaging is to achieve more precise disease characterization. In clinical practice, magnetic resonance imaging (MRI) is one of the imaging tools for the evaluation of prostate cancer, the fusion of MRI or dynamic contrast-enhanced MRI (DCE-MRI) with magnetic resonance spectroscopic imaging (MRSI) is improving the evaluation of cancer location, size, and extent, while providing an indication of tumor aggressiveness. This review summarizes the role of MRI in the application of prostate cancer and describes molecular MRI techniques (including MRSI and DCE-MRI) for aiding prostate cancer management.
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Affiliation(s)
- Bing Li
- Sichuan Key Laboratory of Medical Imaging, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China ; Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China
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Panych LP, Roebuck JR, Chen NK, Tang Y, Madore B, Tempany CM, Mulkern RV. Investigation of the PSF-choice method for reduced lipid contamination in prostate MR spectroscopic imaging. Magn Reson Med 2013; 68:1376-82. [PMID: 22648701 DOI: 10.1002/mrm.24132] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The purpose of this work was to evaluate a previously proposed approach that aims to improve the point spread function (PSF) of MR spectroscopic imaging (MRSI) to avoid corruption by lipid signal arising from neighboring voxels. Retrospective spatial filtering can be used to alter the PSF; however, this either reduces spatial resolution or requires extending the acquisition in k-space at the cost of increased imaging time. Alternatively, the method evaluated here, PSF-choice, can modify the PSF localization to reduce the contamination from adjacent lipids by conforming the signal response more closely to the desired MRSI voxel grid. This is done without increasing scan time or degrading SNR of important metabolites. PSF-choice achieves improvements in spatial localization through modifications to the radiofrequency excitation pulses. An implementation of this method is reported for MRSI of the prostate, where it is demonstrated that, in 13 of 16 pilot prostate MRSI scans, intravoxel spectral contamination from lipid was significantly reduced when using PSF-choice. Phantom studies were also performed that demonstrate, compared with MRSI with standard Fourier phase encoding, out-of-voxel signal contamination of spectra was significantly reduced in MRSI with PSF-choice.
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Affiliation(s)
- Lawrence P Panych
- Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA.
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Kobus T, Wright AJ, Van Asten JJA, Heerschap A, Scheenen TWJ. In vivo (1) H MR spectroscopic imaging of aggressive prostate cancer: can we detect lactate? Magn Reson Med 2013; 71:26-34. [PMID: 23475759 DOI: 10.1002/mrm.24635] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2012] [Revised: 12/18/2012] [Accepted: 12/18/2012] [Indexed: 12/19/2022]
Abstract
PURPOSE A semi-LASER sequence was optimized for in vivo lactate detection in the prostate. METHODS The ethical committee waived the need for informed consent to measure 17 patients with high grade prostate cancer on a 3T system. A semi-LASER sequence was used with an echo time of 144 ms and optimized interpulse timing for a spectral citrate shape with high signal intensity. An LCModel basis set was developed for fitting choline, creatine, spermine, citrate, and lactate and was used to fit all spectra in tumor-containing voxels. For patients without detectable lactate, the minimal detectable lactate concentration was determined by adding in all spectra of tumor tissue a simulated lactate signal. The amplitude of the simulated lactate signal was iteratively decreased until its fit reached a Cramér Rao lower bound >20%, which was then set as the patient-specific detection limit. RESULTS In none of the patients a convincing lactate signal was found. We estimated that on average the lactate levels in high grade prostate cancer are below 1.5 mM (range 0.9-3.5 mM), Interestingly, in one patient with extensive necrosis in the tumor biopsy samples (Gleason score 5+5), large lipid resonances were observed, which originated from the tumor. CONCLUSION The minimal detectable lactate concentration of 1.5 mM in high grade prostate cancer indicates that if lactate is increased it remains at low concentrations.
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Affiliation(s)
- Thiele Kobus
- Radiology Department, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
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Yoshizako T, Uchida K, Hara S, Kaji Y, Sumura M, Igawa M, Kitagaki H, Uike M, Matsuda T. Prostate 3T-MR spectroscopic imaging without an endorectal surface coil using the MLEV-PRESS sequence. Jpn J Radiol 2012. [PMID: 23207646 DOI: 10.1007/s11604-012-0165-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
PURPOSE The aim of this study was to determine to what extent we could identify the metabolism product peak using 3-T proton magnetic resonance spectroscopic imaging (MRSI) of the prostate gland in healthy volunteers by combining an external array coil with Malcolm Levitt composite-pulse decoupling sequence (MLEV)-point-resolved spatially localized spectroscopy (PRESS). MATERIALS AND METHODS MRSI data were obtained from the entire prostate gland in six healthy volunteers. The heights of the choline, citrate peaks and the standard deviation (SD) of the noise in each voxel were calculated. When the choline and/or citrate peak in a voxel exceeded 3 SD, the peak was clearly identified. RESULTS The clear citrate peak rate in the peripheral zone (PZ) and the central gland (CG) were 78.8 and 70.3 %, respectively. The clear choline peak rate in the PZ and the CG were 55.4 and 44.9 %, respectively. In addition, the clear peak rates for both citrate and choline in the PZ and the CG were 51.8 and 38.6 %. Therefore, in the entire prostate gland, 75.2 % had a clear citrate peak, 51.1 % had a clear choline peak, and 46.3 % had both citrate and choline peaks. CONCLUSION The citrate peak was clearly detected in 75.2 % of the voxels by this technique.
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Affiliation(s)
- Takeshi Yoshizako
- Department of Radiology, Shimane University Faculty of Medicine, 89-1 Enya, P.O. Box 00693-8501, Izumo, Japan.
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Peripheral Zone Prostate Cancer Localization by Multiparametric Magnetic Resonance at 3 T. Invest Radiol 2012; 47:624-33. [DOI: 10.1097/rli.0b013e318263f0fd] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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42
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Vaz CV, Alves MG, Marques R, Moreira PI, Oliveira PF, Maia CJ, Socorro S. Androgen-responsive and nonresponsive prostate cancer cells present a distinct glycolytic metabolism profile. Int J Biochem Cell Biol 2012; 44:2077-84. [DOI: 10.1016/j.biocel.2012.08.013] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2012] [Revised: 08/02/2012] [Accepted: 08/09/2012] [Indexed: 12/30/2022]
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43
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Chou E, Simons JW. The molecular biology of prostate cancer morbidity and mortality: Accelerated death from ejaculate poisoning? Urol Oncol 2012; 3:79-84. [PMID: 21227090 DOI: 10.1016/s1078-1439(97)00041-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
The molecular biology of host-tumor interactions unique to human prostate cancer that cause patient morbidity are poorly understood despite the prevalence of this neoplasm. Little is known fundamentally about prostate-specific exocrine gene products secreted by metastatic prostate carcinoma cells at metastatic sites that cause diffuse bone pain, immunosuppression, anemia, cachexia, and other clinical signs of advanced prostate cancer. Growing evidence supports the presence of androgen-regulated exocrine gene products as independent mediators of prostate cancer morbidity. The experimental and clinical implications of a hypothesis that prostate-specific exocrine genes cause patient morbidity are discussed.
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Affiliation(s)
- E Chou
- From the Johns Hopkins Oncology Center and the James Buchanan Brady Urological Institute, NIH Special Program of Research Excellence in Prostate Cancer, The Johns Hopkins Hospital, Baltimore, Maryland, USA
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44
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Silva FRO, Nabeshima CT, Bellini MH, Courrol LC. Early diagnosis of prostate cancer by citrate determination in urine with europium-oxytetracycline complex. APPLIED SPECTROSCOPY 2012; 66:958-61. [PMID: 22800985 DOI: 10.1366/11-06546] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Normal prostate tissue contains high levels of citrate. In the presence of prostate cancer, the citrate level is diminished. In this paper we show that it is possible to use europium-oxytetracycline complex as a citrate fluorescent probe and consequently as a prostate cancer probe. We analyzed normal nude male mice urine and urine from nude male mice in which prostate cancer was induced by intraprostatic inoculation of DU145 cells. The urine samples were collected from the animals at the 7th, 14th, 21st, and 35th days after the surgery procedures. The intensity of europium emission at 615 nm in europium-oxytetracycline complex in the presence of citrate increases linearly. The citrate concentrations were determined from a calculated calibration curve. A concentration decrease in malignant prostate urine from the normal (PBS group) urine value from ~8.0 mM to ~2.4 mM (tumor group at 35th day) was found. The obtained results indicated that europium-oxytetracycline provides a significant biomarker for prostate cancer detection with a direct, accurate, noninvasive, and non-enzymatic method for measurement of citrate in biological fluids.
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Affiliation(s)
- Flávia R O Silva
- Universidade Federal de São Paulo, Departamento de Nefrologia, São Paulo, São Paulo, Brazil
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45
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Hoeks CMA, Barentsz JO, Hambrock T, Yakar D, Somford DM, Heijmink SWTPJ, Scheenen TWJ, Vos PC, Huisman H, van Oort IM, Witjes JA, Heerschap A, Fütterer JJ. Prostate cancer: multiparametric MR imaging for detection, localization, and staging. Radiology 2011; 261:46-66. [PMID: 21931141 DOI: 10.1148/radiol.11091822] [Citation(s) in RCA: 537] [Impact Index Per Article: 41.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
This review presents the current state of the art regarding multiparametric magnetic resonance (MR) imaging of prostate cancer. Technical requirements and clinical indications for the use of multiparametric MR imaging in detection, localization, characterization, staging, biopsy guidance, and active surveillance of prostate cancer are discussed. Although reported accuracies of the separate and combined multiparametric MR imaging techniques vary for diverse clinical prostate cancer indications, multiparametric MR imaging of the prostate has shown promising results and may be of additional value in prostate cancer localization and local staging. Consensus on which technical approaches (field strengths, sequences, use of an endorectal coil) and combination of multiparametric MR imaging techniques should be used for specific clinical indications remains a challenge. Because guidelines are currently lacking, suggestions for a general minimal protocol for multiparametric MR imaging of the prostate based on the literature and the authors' experience are presented. Computer programs that allow evaluation of the various components of a multiparametric MR imaging examination in one view should be developed. In this way, an integrated interpretation of anatomic and functional MR imaging techniques in a multiparametric MR imaging examination is possible. Education and experience of specialist radiologists are essential for correct interpretation of multiparametric prostate MR imaging findings. Supportive techniques, such as computer-aided diagnosis are needed to obtain a fast, cost-effective, easy, and more reproducible prostate cancer diagnosis out of more and more complex multiparametric MR imaging data.
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Affiliation(s)
- Caroline M A Hoeks
- Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
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46
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Wang X, Jacobs MA, Fayad L. Therapeutic response in musculoskeletal soft tissue sarcomas: evaluation by MRI. NMR IN BIOMEDICINE 2011; 24:750-63. [PMID: 21793077 PMCID: PMC3150732 DOI: 10.1002/nbm.1731] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
This article provides a literature review of the use of MRI in monitoring the treatment response of soft tissue sarcomas. The basic classification and physiology of soft tissue tumors are introduced. Then, the major treatment options for soft tissue sarcomas are summarized with brief coverage of possible responses and grading systems. Four major branches of MRI techniques are covered, including conventional T(1) - and T(2) -weighted imaging, contrast-enhanced MRI, MR diffusion and perfusion imaging, and MRS, with a focus on the tumor microenvironment. Although this literature survey focuses on recent clinical developments using these MRI techniques, research venues in preclinical studies, as well as in potential applications other than soft tissue sarcomas, are also included when comparable and/or mutually supporting. Examples from other less-discussed MRI modalities are also briefly covered, not only to complement, but also to expand, the scope and depth of information for various kinds of lesions.
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Affiliation(s)
- Xin Wang
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD, USA
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47
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DeFeo EM, Wu CL, McDougal WS, Cheng LL. A decade in prostate cancer: from NMR to metabolomics. Nat Rev Urol 2011; 8:301-11. [PMID: 21587223 DOI: 10.1038/nrurol.2011.53] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Over the past 30 years, continuous progress in the application of nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance spectroscopic imaging (MRSI) to the detection, diagnosis and characterization of human prostate cancer has turned what began as scientific curiosity into a useful clinical option. In vivo MRSI technology has been integrated into the daily care of prostate cancer patients, and innovations in ex vivo methods have helped to establish NMR-based prostate cancer metabolomics. Metabolomic and multimodality imaging could be the future of the prostate cancer clinic--particularly given the rationale that more accurate interrogation of a disease as complex as human prostate cancer is most likely to be achieved through paradigms involving multiple, instead of single and isolated, parameters. The research and clinical results achieved through in vivo MRSI and ex vivo NMR investigations during the first 11 years of the 21st century illustrate areas where these technologies can be best translated into clinical practice.
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Affiliation(s)
- Elita M DeFeo
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA
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48
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Discriminating cancer from noncancer tissue in the prostate by 3-dimensional proton magnetic resonance spectroscopic imaging: a prospective multicenter validation study. Invest Radiol 2011; 46:25-33. [PMID: 21188832 DOI: 10.1097/rli.0b013e3181f54081] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVES A prospective multicenter validation of the ability of 1H magnetic resonance spectroscopic imaging (MRSI) to distinguish cancer from noncancer tissues throughout the prostate with histopathology of the resected organ as the standard of reference. MATERIALS AND METHODS Institutional review board approval was obtained for all centers and all participating patients and volunteers provided written informed consent. Ninety-nine patients and 10 age-matched volunteers from 8 participating centers underwent magnetic resonance imaging and 3-dimensional MRSI with an endorectal coil at 1.5 T. Selected MRSI voxels were assigned to the peripheral zone (PZ), the central gland (CG), the periurethral area, and cancer tissue. Signal ratios of choline + creatine to citrate (CC/C) in spectra of these voxels were automatically calculated. Receiver operating characteristic curves were constructed to assess the accuracy by which this ratio can discriminate cancer from noncancer tissue. RESULTS A total of 70% of voxels in noncancer tissue and 90% of voxels in cancer tissue passed the quality check of the automatically fitted spectra. The median CC/C was significantly different between any noncancer and cancer tissue (P < 0.0001), but not between the different contributing centers. CC/C increased with cancer focus size (P =0.0008) and certainty of voxel mapping to histopathologic cancer site (P 0.0001). The area under the receiver operating characteristic curve for discriminating voxels of cancer tissue from noncancer tissue was 0.88 (confidence interval: 0.84-0.92) in the PZ and 0.76 (confidence interval: 0.71- 0.81) in the CG.
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49
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Klomp DWJ, Scheenen TWJ, Arteaga CS, van Asten J, Boer VO, Luijten PR. Detection of fully refocused polyamine spins in prostate cancer at 7 T. NMR IN BIOMEDICINE 2011; 24:299-306. [PMID: 20925128 DOI: 10.1002/nbm.1592] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2010] [Revised: 06/19/2010] [Accepted: 06/21/2010] [Indexed: 05/30/2023]
Abstract
(1)H MRSI is often used at 1.5 or 3 T to study prostate cancer, where the ratio of choline + creatine to citrate is taken as a marker for tumour presence. Recently, the level of polyamines (mainly spermine) has been shown to improve specificity even further. However, the in vivo detection of these polyamines (at 3.1 ppm) is hampered by signal cancellation as a result of J-coupling effects and signal overlap with choline (3.2 ppm) and creatine (3.0 ppm) resonances. At higher magnetic field strengths, the chemical shift dispersion will increase, which allows the use of very selective radiofrequency pulses to refocus J-coupled spins. In this work, we added selective refocusing pulses to a semi-LASER (localisation based on adiabatic selective refocusing) sequence at 7 T, and optimised the inter-pulse timings of the sequence for fully refocused detection of spermine spins, whilst maintaining optimised detection of choline, creatine and the strongly coupled spin system of citrate.
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Affiliation(s)
- D W J Klomp
- Department of Radiology, Radiotherapy and Nuclear Medicine, University Medical Center Utrecht, Utrecht, the Netherlands.
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50
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Roberts MJ, Schirra HJ, Lavin MF, Gardiner RA. Metabolomics: a novel approach to early and noninvasive prostate cancer detection. Korean J Urol 2011; 52:79-89. [PMID: 21379423 PMCID: PMC3045724 DOI: 10.4111/kju.2011.52.2.79] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2010] [Accepted: 01/07/2011] [Indexed: 12/22/2022] Open
Abstract
Prostate cancer (PCa) is the most commonly diagnosed visceral cancer in men and is responsible for the second highest cancer-related male mortality rate in Western countries, with increasing rates being reported in Korea, Japan, and China. Considering the low sensitivity of prostate-specific antigen (PSA) testing, it is widely agreed that reliable, age-independent markers of the presence, nature, and progression of PCa are required to facilitate diagnosis and timely treatment. Metabolomics or metabonomics has recently emerged as a novel method of PCa detection owing to its ability to monitor changes in the metabolic signature, within biofluids or tissue, that reflect changes in phenotype and function. This review outlines the physiology of prostate tissue and prostatic fluid in health and in malignancy in relation to metabolomics as well as the principles underlying the methods of metabolomic quantification. Promising metabolites, metabolic profiles, and their correlation with the presence and stage of PCa are summarized. Application of metabolomics to biofluids and in vivo quantification as well as the direction of current research in supplementing and improving current methods of detection are discussed. The current debate in the urology literature on sarcosine as a potential biomarker for PCa is reviewed and discussed. Metabolomics promises to be a valuable tool in the early detection of PCa that may enable earlier treatment and improved clinical outcomes.
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Affiliation(s)
- Matthew J. Roberts
- Department of Urology, University of Queensland Centre for Clinical Research, Brisbane, Australia
| | - Horst J. Schirra
- The University of Queensland, School of Chemistry and Molecular Biosciences, Brisbane, Australia
| | - Martin F. Lavin
- Queensland Institute of Medical Research, Radiation Biology and Oncology, Brisbane, Australia
- Department of Surgery, University of Queensland Centre for Clinical Research, Brisbane, Australia
| | - Robert A. Gardiner
- Department of Surgery, University of Queensland Centre for Clinical Research, Brisbane, Australia
- Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia
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