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Towards the potential use of (1)H NMR spectroscopy in urine samples for prostate cancer detection

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Towards the potential use of (1)H NMR spectroscopy in urine samples for prostate cancer detection

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Zaragozá Torres, P.; Ruiz Cerda, JL.; Quintás, G.; Gil Grau, S.; Costero Nieto, AM.; León, Z.; Vivancos, J.... (2014). Towards the potential use of (1)H NMR spectroscopy in urine samples for prostate cancer detection. Analyst. 139(16):3875-3878. https://doi.org/10.1039/c4an00690a

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/51955

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Título: Towards the potential use of (1)H NMR spectroscopy in urine samples for prostate cancer detection
Autor: Zaragozá Torres, Patricia Ruiz Cerda, Jose Luis Quintás, Guillermo Gil Grau, Salvador Costero Nieto, Ana María León, Zacarías Vivancos, José-Luis Martínez Mañez, Ramón
Entidad UPV: Universitat Politècnica de València. Instituto de Reconocimiento Molecular y Desarrollo Tecnológico - Institut de Reconeixement Molecular i Desenvolupament Tecnològic
Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria
Universitat Politècnica de València. Departamento de Química - Departament de Química
Fecha difusión:
Resumen:
A simple method based in multivariate analysis of 1H NMR spectra profiles of urine samples can be used to detect patients with prostate cancer.
Palabras clave: Multivariate analysis , 1H NMR , Urine samples , Prostate cancer , Metabolomics , Performance , Validation , Secretions , Tissues
Derechos de uso: Cerrado
Fuente:
Analyst. (issn: 0003-2654 ) (eissn: 1364-5528 )
DOI: 10.1039/c4an00690a
Editorial:
Royal Society of Chemistry
Versión del editor: http://dx.doi.org/10.1039/c4an00690a
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//SAF2012-39948/ES/DIGESTIVAS ASOCIADAS A LA INFECCION POR HELICOBACTER PYLORI/
info:eu-repo/grantAgreement/MINECO//MAT2012-38429-C04/
info:eu-repo/grantAgreement/IISLAFE//2013_0509/
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2009%2F016/ES/Ayuda prometeo 2009 para el grupo de diseño y desarrollo de sensores/
Agradecimientos:
Financial support from the Spanish Government (Projects MAT2012-38429-C04 and SAF2012-39948), the IIS La Fe (Project 2013_0509) and the Generalitat Valenciana (Project PROM-ETEO/2009/016) is gratefully acknowledged. P.Z. ...[+]
Tipo: Artículo

References

Siegel, R., Naishadham, D., & Jemal, A. (2012). Cancer statistics, 2012. CA: A Cancer Journal for Clinicians, 62(1), 10-29. doi:10.3322/caac.20138

Catalona, W. J., D’Amico, A. V., Fitzgibbons, W. F., Kosoko-Lasaki, O., Leslie, S. W., Lynch, H. T., … Walsh, P. C. (2012). What the U.S. Preventive Services Task Force Missed in Its Prostate Cancer Screening Recommendation. Annals of Internal Medicine, 157(2), 137. doi:10.7326/0003-4819-157-2-201207170-00463

Moyer, V. A. (2012). Screening for Prostate Cancer: U.S. Preventive Services Task Force Recommendation Statement. Annals of Internal Medicine, 157(2), 120. doi:10.7326/0003-4819-157-2-201207170-00459 [+]
Siegel, R., Naishadham, D., & Jemal, A. (2012). Cancer statistics, 2012. CA: A Cancer Journal for Clinicians, 62(1), 10-29. doi:10.3322/caac.20138

Catalona, W. J., D’Amico, A. V., Fitzgibbons, W. F., Kosoko-Lasaki, O., Leslie, S. W., Lynch, H. T., … Walsh, P. C. (2012). What the U.S. Preventive Services Task Force Missed in Its Prostate Cancer Screening Recommendation. Annals of Internal Medicine, 157(2), 137. doi:10.7326/0003-4819-157-2-201207170-00463

Moyer, V. A. (2012). Screening for Prostate Cancer: U.S. Preventive Services Task Force Recommendation Statement. Annals of Internal Medicine, 157(2), 120. doi:10.7326/0003-4819-157-2-201207170-00459

Roberts, M. J., Schirra, H. J., Lavin, M. F., & Gardiner, R. A. (2011). Metabolomics: A Novel Approach to Early and Noninvasive Prostate Cancer Detection. Korean Journal of Urology, 52(2), 79. doi:10.4111/kju.2011.52.2.79

Spratlin, J. L., Serkova, N. J., & Eckhardt, S. G. (2009). Clinical Applications of Metabolomics in Oncology: A Review. Clinical Cancer Research, 15(2), 431-440. doi:10.1158/1078-0432.ccr-08-1059

L. L. Cheng and U.Pohl , The handbook of metabonomics and metabolomics , Amsterdam , 2007 , p. 345

Trock, B. J. (2011). Application of metabolomics to prostate cancer. Urologic Oncology: Seminars and Original Investigations, 29(5), 572-581. doi:10.1016/j.urolonc.2011.08.002

Swanson, M. G., Vigneron, D. B., Tabatabai, Z. L., Males, R. G., Schmitt, L., Carroll, P. R., … Kurhanewicz, J. (2003). Proton HR-MAS spectroscopy and quantitative pathologic analysis of MRI/3D-MRSI-targeted postsurgical prostate tissues. Magnetic Resonance in Medicine, 50(5), 944-954. doi:10.1002/mrm.10614

Cheng, L. L., Burns, M. A., Taylor, J. L., He, W., Halpern, E. F., McDougal, W. S., & Wu, C.-L. (2005). Metabolic Characterization of Human Prostate Cancer with Tissue Magnetic Resonance Spectroscopy. Cancer Research, 65(8), 3030-3034. doi:10.1158/0008-5472.can-04-4106

Spur, E.-M., Decelle, E. A., & Cheng, L. L. (2013). Metabolomic imaging of prostate cancer with magnetic resonance spectroscopy and mass spectrometry. European Journal of Nuclear Medicine and Molecular Imaging, 40(S1), 60-71. doi:10.1007/s00259-013-2379-x

Sreekumar, A., Poisson, L. M., Rajendiran, T. M., Khan, A. P., Cao, Q., Yu, J., … Chinnaiyan, A. M. (2009). Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature, 457(7231), 910-914. doi:10.1038/nature07762

Truong, M., Yang, B., & Jarrard, D. F. (2013). Toward the Detection of Prostate Cancer in Urine: A Critical Analysis. Journal of Urology, 189(2), 422-429. doi:10.1016/j.juro.2012.04.143

Drake, R. R., White, K. Y., Fuller, T. W., Igwe, E., Clements, M. A., Nyalwidhe, J. O., … Semmes, O. J. (2009). Clinical collection and protein properties of expressed prostatic secretions as a source for biomarkers of prostatic disease. Journal of Proteomics, 72(6), 907-917. doi:10.1016/j.jprot.2009.01.007

Kumar, V., Dwivedi, D. K., & Jagannathan, N. R. (2013). High-resolution NMR spectroscopy of human body fluids and tissues in relation to prostate cancer. NMR in Biomedicine, 27(1), 80-89. doi:10.1002/nbm.2979

Reinsberg, S. A., Payne, G. S., Riches, S. F., Ashley, S., Brewster, J. M., Morgan, V. A., & deSouza, N. M. (2007). Combined Use of Diffusion-Weighted MRI and 1H MR Spectroscopy to Increase Accuracy in Prostate Cancer Detection. American Journal of Roentgenology, 188(1), 91-98. doi:10.2214/ajr.05.2198

Hricak, H. (2005). MR imaging and MR spectroscopic imaging in the pre-treatment evaluation of prostate cancer. The British Journal of Radiology, 78(special_issue_2), S103-S111. doi:10.1259/bjr/11253478

Savorani, F., Tomasi, G., & Engelsen, S. B. (2010). icoshift: A versatile tool for the rapid alignment of 1D NMR spectra. Journal of Magnetic Resonance, 202(2), 190-202. doi:10.1016/j.jmr.2009.11.012

Chong, I.-G., & Jun, C.-H. (2005). Performance of some variable selection methods when multicollinearity is present. Chemometrics and Intelligent Laboratory Systems, 78(1-2), 103-112. doi:10.1016/j.chemolab.2004.12.011

Filzmoser, P., Liebmann, B., & Varmuza, K. (2009). Repeated double cross validation. Journal of Chemometrics, 23(4), 160-171. doi:10.1002/cem.1225

Kuligowski, J., Pérez-Guaita, D., Escobar, J., de la Guardia, M., Vento, M., Ferrer, A., & Quintás, G. (2013). Evaluation of the effect of chance correlations on variable selection using Partial Least Squares-Discriminant Analysis. Talanta, 116, 835-840. doi:10.1016/j.talanta.2013.07.048

Rubingh, C. M., Bijlsma, S., Derks, E. P. P. A., Bobeldijk, I., Verheij, E. R., Kochhar, S., & Smilde, A. K. (2006). Assessing the performance of statistical validation tools for megavariate metabolomics data. Metabolomics, 2(2), 53-61. doi:10.1007/s11306-006-0022-6

Serkova, N. J., Gamito, E. J., Jones, R. H., O’Donnell, C., Brown, J. L., Green, S., … Crawford, E. D. (2008). The metabolites citrate, myo-inositol, and spermine are potential age-independent markers of prostate cancer in human expressed prostatic secretions. The Prostate, 68(6), 620-628. doi:10.1002/pros.20727

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