Andrei Stefancu1,2, Vlad Moisoiu1,3, Razvan Couti4, Iulia Andras4,5, Razvan Rahota4, Dana Crisan6, Ioana E Pavel2,7, Carmen Socaciu8,9, Nicolae Leopold1,2, Nicolae Crisan4,5. 1. Faculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania. 2. MEDFUTURE Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine & Pharmacy, Cluj-Napoca, Romania. 3. IMOGEN Medical Research Institute, County Clinical Emergency Hospital, Cluj-Napoca, Romania. 4. Department of Urology, Clinical Municipal Hospital, Cluj-Napoca, Romania. 5. Department of Urology, Iuliu Hatieganu University of Medicine & Pharmacy, Cluj-Napoca, Romania. 6. 5th Medical Clinic, Iuliu Hatieganu University of Medicine & Pharmacy, Cluj-Napoca, Romania. 7. Department of Chemistry, Wright State University, Dayton, OH 45435, USA. 8. BIODIATECH Research Center for Applied Biotechnology, SC Proplanta, Cluj-Napoca, Romania. 9. Faculty of Food Science & Technology, University of Agricultural Sciences & Veterinary Medicine of Cluj-Napoca, Cluj-Napoca, Romania.
Abstract
AIM: Previous studies regarding surface-enhanced Raman scattering (SERS) of serum have shown promising initial results in discriminating prostate cancer, a strategy which could complement standard tests such as the prostate-specific antigen (PSA). MATERIALS & METHODS: SERS spectra of serum samples were combined with serum PSA levels to improve the discrimination accuracy between prostate cancer and nonmalignant pathologies in a cohort of 54 patients using principal component analysis-linear discriminant analysis (PCA-LDA). RESULTS & DISCUSSION: Combining SERS spectra with serum PSA levels in a single PCA-LDA model could discriminate between the two groups with an overall accuracy of 94%, yielding better results than either method alone. CONCLUSION: These results highlight that combining SERS-based cancer screening with serum PSA levels represents a promising strategy for improving the accuracy of prostate cancer diagnosis.
AIM: Previous studies regarding surface-enhanced Raman scattering (SERS) of serum have shown promising initial results in discriminating prostate cancer, a strategy which could complement standard tests such as the prostate-specific antigen (PSA). MATERIALS & METHODS:SERS spectra of serum samples were combined with serum PSA levels to improve the discrimination accuracy between prostate cancer and nonmalignant pathologies in a cohort of 54 patients using principal component analysis-linear discriminant analysis (PCA-LDA). RESULTS & DISCUSSION: Combining SERS spectra with serum PSA levels in a single PCA-LDA model could discriminate between the two groups with an overall accuracy of 94%, yielding better results than either method alone. CONCLUSION: These results highlight that combining SERS-based cancer screening with serum PSA levels represents a promising strategy for improving the accuracy of prostate cancer diagnosis.
Entities:
Keywords:
drop coating deposition; principal component analysis-linear discriminant analysis; prostate cancer; prostate-specific antigen; screening; serum; surface-enhanced Raman scattering
Authors: Vlad Moisoiu; Andrei Stefancu; Diana Gulei; Radu Boitor; Lorand Magdo; Lajos Raduly; Sergiu Pasca; Paul Kubelac; Nikolay Mehterov; Vasile Chiș; Marioara Simon; Mihai Muresan; Alexandra Iulia Irimie; Mihaela Baciut; Rares Stiufiuc; Ioana E Pavel; Patriciu Achimas-Cadariu; Calin Ionescu; Vladimir Lazar; Victoria Sarafian; Ioan Notingher; Nicolae Leopold; Ioana Berindan-Neagoe Journal: Int J Nanomedicine Date: 2019-08-02
Authors: Tudor Moisoiu; Stefania D Iancu; Dan Burghelea; Mihnea P Dragomir; Gheorghita Iacob; Andrei Stefancu; Ramona G Cozan; Oana Antal; Zoltán Bálint; Valentin Muntean; Radu I Badea; Emilia Licarete; Nicolae Leopold; Florin I Elec Journal: Biomedicines Date: 2022-01-22
Authors: Tudor Moisoiu; Mihnea P Dragomir; Stefania D Iancu; Simon Schallenberg; Giovanni Birolo; Giulio Ferrero; Dan Burghelea; Andrei Stefancu; Ramona G Cozan; Emilia Licarete; Alessandra Allione; Giuseppe Matullo; Gheorghita Iacob; Zoltán Bálint; Radu I Badea; Alessio Naccarati; David Horst; Barbara Pardini; Nicolae Leopold; Florin Elec Journal: Mol Med Date: 2022-04-01 Impact factor: 6.354
Authors: Lucretia Avram; Stefania D Iancu; Andrei Stefancu; Vlad Moisoiu; Alia Colnita; Daniel Marconi; Valer Donca; Elena Buzdugan; Rares Craciun; Nicolae Leopold; Nicolae Crisan; Ioan Coman; Dana Crisan Journal: J Clin Med Date: 2020-01-13 Impact factor: 4.241
Authors: Stefania D Iancu; Andrei Stefancu; Vlad Moisoiu; Loredana F Leopold; Nicolae Leopold Journal: Beilstein J Nanotechnol Date: 2019-11-27 Impact factor: 3.649