A noninvasive cancer detection strategy based on gold nanoparticle surface-enhanced raman spectroscopy of urinary modified nucleosides isolated by affinity chromatography
The search for tumor biomarkers in the urine for cancer diagnosis is currently a hot topic in clinical oncology, with potential for cancer screening and diagnosis. Modified nucleosides excreted through the urine are considered to be a general tumor marker for various cancer types. Herein, we explore...
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Published in | Biosensors & bioelectronics Vol. 91; pp. 616 - 622 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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England
Elsevier B.V
15.05.2017
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Abstract | The search for tumor biomarkers in the urine for cancer diagnosis is currently a hot topic in clinical oncology, with potential for cancer screening and diagnosis. Modified nucleosides excreted through the urine are considered to be a general tumor marker for various cancer types. Herein, we explore a new method that utilizes surface-enhanced Raman scattering (SERS) spectroscopy to obtain a complete biochemical profile of urinary modified nucleosides. In our method, modified nucleosides are first isolated from urine sample utilizing the excellent separation ability of affinity chromatography; then supplemented with gold (Au) nanoparticles as substrate for SERS spectroscopy analysis. The obtained SERS spectra present rich diagnostic and fingerprinting type signatures of urinary modified nucleosides. The utility of this new method in cancer detection was evaluated by analyzing urine samples from three groups of subjects: nasopharyngeal cancer patients (n=62), esophageal cancer patients (n=55), and healthy volunteers (n=52). Partial least squares and linear discriminant analysis (PLS-DA) were used to analyze and classify the SERS spectra of urinary modified nucleosides from nasopharyngeal cancer, esophageal cancer, and the normal group, achieving diagnostic sensitivities of 95.2%, 90.9% and 98.1% and specificities of 97.2%, 98.2% and 95.7%, respectively. These results demonstrated great potential of this novel method for non-invasive and label-free cancer detection and screening.
•Based on gold nanoparticle surface-enhanced Raman Spectroscopy, an original method that utilizes urinary tumor marker analysis for non-invasive cancer detection has been developed.•A general tumor marker of modified nucleosides was isolated from two groups of cancer patients (esophageal cancer and nasopharyngeal cancer) and one group of healthy volunteers urine sample by affinity chromatography and then incubated with gold nanoparticles to perform surface-enhanced Raman spectral (SERS) analysis.•Multivariate analysis of the SERS spectra revealed that the data points for both the cancer groups and the normal group form distinct, separated clusters with few overlaps. Both the esophageal cancer group and the nasopharyngeal cancer group can be unambiguously discriminated from the normal group, leading to high diagnostic accuracy.•These results are very promising for developing a label-free, noninvasive, and reliable clinical tool for rapid cancer detection and screening. |
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AbstractList | The search for tumor biomarkers in the urine for cancer diagnosis is currently a hot topic in clinical oncology, with potential for cancer screening and diagnosis. Modified nucleosides excreted through the urine are considered to be a general tumor marker for various cancer types. Herein, we explore a new method that utilizes surface-enhanced Raman scattering (SERS) spectroscopy to obtain a complete biochemical profile of urinary modified nucleosides. In our method, modified nucleosides are first isolated from urine sample utilizing the excellent separation ability of affinity chromatography; then supplemented with gold (Au) nanoparticles as substrate for SERS spectroscopy analysis. The obtained SERS spectra present rich diagnostic and fingerprinting type signatures of urinary modified nucleosides. The utility of this new method in cancer detection was evaluated by analyzing urine samples from three groups of subjects: nasopharyngeal cancer patients (n=62), esophageal cancer patients (n=55), and healthy volunteers (n=52). Partial least squares and linear discriminant analysis (PLS-DA) were used to analyze and classify the SERS spectra of urinary modified nucleosides from nasopharyngeal cancer, esophageal cancer, and the normal group, achieving diagnostic sensitivities of 95.2%, 90.9% and 98.1% and specificities of 97.2%, 98.2% and 95.7%, respectively. These results demonstrated great potential of this novel method for non-invasive and label-free cancer detection and screening. The search for tumor biomarkers in the urine for cancer diagnosis is currently a hot topic in clinical oncology, with potential for cancer screening and diagnosis. Modified nucleosides excreted through the urine are considered to be a general tumor marker for various cancer types. Herein, we explore a new method that utilizes surface-enhanced Raman scattering (SERS) spectroscopy to obtain a complete biochemical profile of urinary modified nucleosides. In our method, modified nucleosides are first isolated from urine sample utilizing the excellent separation ability of affinity chromatography; then supplemented with gold (Au) nanoparticles as substrate for SERS spectroscopy analysis. The obtained SERS spectra present rich diagnostic and fingerprinting type signatures of urinary modified nucleosides. The utility of this new method in cancer detection was evaluated by analyzing urine samples from three groups of subjects: nasopharyngeal cancer patients (n=62), esophageal cancer patients (n=55), and healthy volunteers (n=52). Partial least squares and linear discriminant analysis (PLS-DA) were used to analyze and classify the SERS spectra of urinary modified nucleosides from nasopharyngeal cancer, esophageal cancer, and the normal group, achieving diagnostic sensitivities of 95.2%, 90.9% and 98.1% and specificities of 97.2%, 98.2% and 95.7%, respectively. These results demonstrated great potential of this novel method for non-invasive and label-free cancer detection and screening. •Based on gold nanoparticle surface-enhanced Raman Spectroscopy, an original method that utilizes urinary tumor marker analysis for non-invasive cancer detection has been developed.•A general tumor marker of modified nucleosides was isolated from two groups of cancer patients (esophageal cancer and nasopharyngeal cancer) and one group of healthy volunteers urine sample by affinity chromatography and then incubated with gold nanoparticles to perform surface-enhanced Raman spectral (SERS) analysis.•Multivariate analysis of the SERS spectra revealed that the data points for both the cancer groups and the normal group form distinct, separated clusters with few overlaps. Both the esophageal cancer group and the nasopharyngeal cancer group can be unambiguously discriminated from the normal group, leading to high diagnostic accuracy.•These results are very promising for developing a label-free, noninvasive, and reliable clinical tool for rapid cancer detection and screening. |
Author | Feng, Shangyuan Weng, Cuncheng Lin, Duo Wang, Lan Zheng, Zuci Xu, Yuanji Qiu, Sufang Huang, Zufang Chen, Guannan Cheng, Min Xie, Shusen Chen, Rong Lin, Jinyong Zeng, Haishan |
Author_xml | – sequence: 1 givenname: Shangyuan surname: Feng fullname: Feng, Shangyuan organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China – sequence: 2 givenname: Zuci surname: Zheng fullname: Zheng, Zuci organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China – sequence: 3 givenname: Yuanji surname: Xu fullname: Xu, Yuanji organization: Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Teaching Hospital of Fujian Medical University, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou 350014, China – sequence: 4 givenname: Jinyong surname: Lin fullname: Lin, Jinyong organization: Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Teaching Hospital of Fujian Medical University, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou 350014, China – sequence: 5 givenname: Guannan surname: Chen fullname: Chen, Guannan organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China – sequence: 6 givenname: Cuncheng surname: Weng fullname: Weng, Cuncheng organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China – sequence: 7 givenname: Duo surname: Lin fullname: Lin, Duo organization: College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, China – sequence: 8 givenname: Sufang surname: Qiu fullname: Qiu, Sufang organization: Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Teaching Hospital of Fujian Medical University, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou 350014, China – sequence: 9 givenname: Min surname: Cheng fullname: Cheng, Min organization: Department of Physics and Electronic Information Engineering, Minjiang University, Fuzhou 350108, China – sequence: 10 givenname: Zufang surname: Huang fullname: Huang, Zufang organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China – sequence: 11 givenname: Lan surname: Wang fullname: Wang, Lan organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China – sequence: 12 givenname: Rong surname: Chen fullname: Chen, Rong email: chenr@fjnu.edu.cn organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China – sequence: 13 givenname: Shusen surname: Xie fullname: Xie, Shusen email: ssxie@fjnu.edu.cn organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China – sequence: 14 givenname: Haishan surname: Zeng fullname: Zeng, Haishan email: hzeng@bccrc.ca organization: Imaging Unit – Integrative Oncology Department, BC Cancer Agency Research Centre, Vancouver, BC, Canada |
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Keywords | Tumor marker Non-invasive cancer detection SERS spectroscopy Modified nucleosides Affinity chromatography |
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SubjectTerms | Affinity chromatography biomarkers Biomarkers, Tumor - urine Biosensing Techniques biosensors Chromatography, Affinity - methods discriminant analysis esophageal neoplasms Esophageal Neoplasms - urine gold Gold - chemistry Humans least squares Metal Nanoparticles - chemistry Modified nucleosides nanogold nanoparticles Nasopharyngeal Neoplasms - urine Non-invasive cancer detection nucleosides Nucleosides - urine patients Raman spectroscopy screening SERS spectroscopy Spectrum Analysis, Raman - methods Tumor marker urine volunteers |
Title | A noninvasive cancer detection strategy based on gold nanoparticle surface-enhanced raman spectroscopy of urinary modified nucleosides isolated by affinity chromatography |
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