Metabolite profiling of human blood by surface-enhanced Raman spectroscopy for surgery assessment and tumor screening in breast cancer
Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for...
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Published in | Analytical and bioanalytical chemistry Vol. 412; no. 7; pp. 1611 - 1618 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Berlin/Heidelberg
Springer Berlin Heidelberg
01.03.2020
Springer Springer Nature B.V |
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Abstract | Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer.
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AbstractList | Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer. Graphical abstract. Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer. Graphical abstract.Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer. Graphical abstract. Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer. Graphical abstract Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer. Graphical abstract Mammography, a standard screening method for breast cancer, is effective for reducing the rate of death; however, it suffers from frequent false positive alarm and radiation risk. Besides, surgery treatment has a vital impact on the clinical outcomes of breast cancer, offering enormous benefits for breast cancer care and management. In this work, we analyzed the peripheral blood sample from breast cancer patients with pre- and post-surgery and healthy volunteers using label-free surface-enhanced Raman spectroscopy technology based on silver nanoparticles. Results showed that distinct patterns of blood belonging to specific subjects could be profiled, and corresponding accuracies of 95% and 100% were achieved by multivariate diagnostic algorithm for pre-surgery vs. post-surgery and pre-surgery vs. normal groups, respectively, providing a unique blood analysis method for surgery evaluation as well as tumor screening in breast cancer. |
Audience | Academic |
Author | Feng, Shangyuan Lin, Duo Zhu, Youzhi Lin, Yao Lin, Xueliang Wang, Yunyi Wang, Tingyin |
Author_xml | – sequence: 1 givenname: Duo surname: Lin fullname: Lin, Duo organization: College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine – sequence: 2 givenname: Yunyi surname: Wang fullname: Wang, Yunyi organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University – sequence: 3 givenname: Tingyin surname: Wang fullname: Wang, Tingyin organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University – sequence: 4 givenname: Youzhi surname: Zhu fullname: Zhu, Youzhi email: zhu@fjmu.edu.cn organization: Department of Thyroid and Breast Surgery, First Affiliated Hospital of Fujian Medical University – sequence: 5 givenname: Xueliang surname: Lin fullname: Lin, Xueliang organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University – sequence: 6 givenname: Yao surname: Lin fullname: Lin, Yao email: yaolin@fjnu.edu.cn organization: College of Life Sciences, Fujian Normal University – sequence: 7 givenname: Shangyuan surname: Feng fullname: Feng, Shangyuan email: syfeng@fjnu.edu.cn organization: Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Digital Fujian Internet-of-Things Laboratory of Environment Monitoring, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31965246$$D View this record in MEDLINE/PubMed |
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Keywords | Surgery assessment Blood analysis Screening Breast cancer Silver nanoparticles Surface-enhanced Raman spectroscopy |
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SubjectTerms | Algorithms Analysis Analytical Chemistry Biochemistry Blood blood sampling Breast cancer breast neoplasms Breast Neoplasms - blood Breast Neoplasms - diagnosis Breast Neoplasms - surgery Cancer Characterization and Evaluation of Materials Chemistry Chemistry and Materials Science death Diagnosis Diagnostic systems Early Detection of Cancer Female Food Science Free surfaces hematologic tests Humans Laboratory Medicine Mammography Mass Screening Medical examination Metabolites Metal Nanoparticles - chemistry Methods Middle Aged Monitoring/Environmental Analysis Nanoparticles nanosilver patients Peripheral blood Principal Component Analysis Raman spectroscopy Research Paper risk screening Sensitivity and Specificity Silver Silver - chemistry Spectroscopy Spectrum analysis Spectrum Analysis, Raman - methods Surgery Tumors volunteers |
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