The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Simultaneous Detection of Dual Prostate Specific Antigens Using Surface-Enhanced Raman Scattering-Based Immunoassay for Accurate Diagnosis of Prostate Cancer
Abstract
Accurate analysis of specific biomarkers in clinical serum is essential for early diagnosis and treatment of cancer. Here, a surface-enhanced Raman scattering (SERS)-based immunoassay, using magnetic beads and SERS nano tags, was developed for the determination of free to total (f/t) prostate specific antigen (PSA) ratio to improve the diagnostic performance of prostate cancer. To assess the clinical applicability of the proposed method, SERS-based assays for the simultaneous detection of dual PSA markers, free PSA (f-PSA) and complexed PSA (c-PSA), were performed for clinical samples in the gray zone between 4.0 and 10.0 ng/mL. Our assay results for f/t PSA ratio showed a good linear correlation with those measured using the electrochemiluminescence (ECL) system installed in the clinical laboratory of the University Hospital. In addition, the simultaneous assay provided better precision than parallel assays for the detection of f-PSA and c-PSA in 13 clinical serum samples. Therefore, our SERS-based assay for simultaneous detection of dual PSA markers in clinical fluids has strong potential for application in the accurate diagnosis of prostate cancer.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Probing Single Molecules and Single Nanoparticles by Surface-Enhanced Raman Scattering
Nie, S., & Emory, S. R. (1997) · Science · doi:10.1126/science.275.5303.1102 · Cited by 10,238
Multiplexed electrical detection of cancer markers with nanowire sensor arrays
Zheng, G., Patolsky, F., Cui, Y., Wang, W. U., & Lieber, C. M. (2005) · Nature Biotechnology · doi:10.1038/nbt1138 · Cited by 2,436
Catalona, W. J., Partin, A. W., Slawin, K. M., Brawer, M. K., Flanigan, R. C., Patel, A., Richie, J. P., deKernion, J. B., Walsh, P. C., Scardino, P. T., et al. (1998) · JAMA · doi:10.1001/jama.279.19.1542 · Cited by 1,162
Multiplexed protein measurement: technologies and applications of protein and antibody arrays
Kingsmore, S. F. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd2006 · Cited by 715
Liu, X., Dai, Q., Austin, L., Coutts, J., Knowles, G., Zou, J., Chen, H., & Huo, Q. (2008) · Journal of the American Chemical Society · doi:10.1021/ja711298b · Cited by 675
SERS as a bioassay platform: fundamentals, design, and applications
Porter, M. D., Lipert, R. J., Siperko, L. M., Wang, G., & Narayanan, R. (2008) · Chemical Society Reviews · doi:10.1039/b708461g · Cited by 580
Luderer, A. A., Chen, Y.-T., Soriano, T. F., Kramp, W. J., Carlson, G., Cuny, C., Sharp, T., Smith, W., Petteway, J. C., Brawer, M. K., et al. (1995) · Urology · doi:10.1016/s0090-4295(99)80192-7 · Cited by 279
Li, M., Cushing, S. K., Zhang, J., Suri, S., Evans, R., Petros, W. P., Gibson, L. F., Ma, D., Liu, Y., & Wu, N. (2013) · ACS Nano · doi:10.1021/nn4018284 · Cited by 275
Lee, S., Chon, H., Yoon, S.-Y., Lee, E. K., Chang, S.-I., Lim, D. W., & Choo, J. (2012) · Nanoscale · doi:10.1039/c1nr11243k · Cited by 167
Self-citationStephan, C., Klaas, M., Müller, C., Schnorr, D., Loening, S. A., & Jung, K. (2006) · Clinical Chemistry · doi:10.1373/clinchem.2005.059170 · Cited by 154
Li, X., Li, W., Yang, Q., Gong, X., Guo, W., Dong, C., Liu, J., Xuan, L., & Chang, J. K. (2014) · ACS Applied Materials & Interfaces · doi:10.1021/am5012782 · Cited by 146
Chon, H., Lee, S., Yoon, S., Lee, E. K., Chang, S., & Choo, J. (2013) · Chemical Communications · doi:10.1039/c3cc47850e · Cited by 124
Self-citationHighly Sensitive SERS Quantification of the Oncogenic Protein c-Jun in Cellular Extracts
Guerrini, L., Pazos, E., Penas, C., Vázquez, M. E., Mascarenas, J. L., & Álvarez‐Puebla, R. A. (2013) · Journal of the American Chemical Society · doi:10.1021/ja405120x · Cited by 119
Recent developments and future directions in SERS for bioanalysis
Harper, M. M., McKeating, K. S., & Faulds, K. (2013) · Physical Chemistry Chemical Physics · doi:10.1039/c2cp43859c · Cited by 117
Wang, R., Chon, H., Lee, S.-Y., Cheng, Z., Hong, S. H., Yoon, Y. H., & Choo, J. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b10996 · Cited by 105
Self-citationJung, K., Elgeti, U., Lein, M., Brux, B., Sinha, P. K., Rudolph, B. D., Hauptmann, S., Schnorr, D., & Loening, S. A. (2000) · Clinical Chemistry · doi:10.1093/clinchem/46.1.55 · Cited by 97
Zhu, L., Leinonen, J., Zhang, W., et al. (2003) · Clinical Chemistry · doi:10.1373/49.1.97 · Cited by 39
Cited by
Surface-Enhanced Raman Spectroscopy: Current Understanding, Challenges, and Opportunities
Ma, H., Pan, S.-Q., Wang, W.-L., Yue, X., Xi, X.-H., Yan, S., Wu, D.-Y., Wang, X., Liu, G., & Ren, B. (2024) · ACS Nano · doi:10.1021/acsnano.4c02670 · Cited by 346
In Vitro and In Vivo SERS Biosensing for Disease Diagnosis
Moore, T. J., Moody, A. S., Payne, T. D., Sarabia, G. M., Daniel, A. R., & Sharma, B. (2018) · Biosensors · doi:10.3390/bios8020046 · Cited by 161
Kim, H., Park, S., Jeong, I. G., Song, S. H., Jeong, Y., Kim, C.-S., & Lee, K. H. (2021) · ACS Nano · doi:10.1021/acsnano.0c06946 · Cited by 130
Applications of Mass Spectrometry for Clinical Diagnostics: The Influence of Turnaround Time
Swiner, D. J., Jackson, S., Burris, B. J., & Badu-Tawiah, A. K. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b04901 · Cited by 73
Metadata
- Authors
- Cheng, Z., Choi, N., Wang, R., Lee, S., Moon, K. C., Yoon, S.-Y., Chen, L., & Choo, J.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-04-27
- Volume
- 11
- Issue
- 5
- Pages
- 4926-4933
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2608064079
- Cited by
- 373
- References
- 17
- FWCI
- 14.19
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
