The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers
Open accessAbstract
Early cancer detection has significant clinical value, but there remains no single method that can comprehensively identify multiple types of early-stage cancer. Here, we report the diagnostic accuracy of simultaneous detection of 6 types of early-stage cancers (lung, breast, colon, liver, pancreas, and stomach) by analyzing surface-enhanced Raman spectroscopy profiles of exosomes using artificial intelligence in a retrospective study design. It includes classification models that recognize signal patterns of plasma exosomes to identify both their presence and tissues of origin. Using 520 test samples, our system identified cancer presence with an area under the curve value of 0.970. Moreover, the system classified the tumor organ type of 278 early-stage cancer patients with a mean area under the curve of 0.945. The final integrated decision model showed a sensitivity of 90.2% at a specificity of 94.4% while predicting the tumor organ of 72% of positive patients. Since our method utilizes a non-specific analysis of Raman signatures, its diagnostic scope could potentially be expanded to include other diseases.
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LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099
BCLC strategy for prognosis prediction and treatment recommendation: the 2022 update
Reig, M., Forner, A., Rimola, J., Ferrer-Fàbrega, J., Burrel, M., Garcia-Criado, Á., Kelley, R. K., Galle, P. R., Mazzaferro, V., Salem, R., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2021.11.018 · Cited by 4,319
Exosomes: biogenesis, biologic function and clinical potential
Zhang, Y., Liu, Y., Liu, H., & Tang, W. H. (2019) · Cell & Bioscience · doi:10.1186/s13578-019-0282-2 · Cited by 2,119
Liu, M. C., Oxnard, G. R., Klein, E. A., Swanton, C., Seiden, M. V., Liu, M. C., Oxnard, G. R., Klein, E. A., Smith, D., Richards, D., et al. (2020) · Annals of Oncology · doi:10.1016/j.annonc.2020.02.011 · Cited by 1,495
Crosby, D., Bhatia, S., Brindle, K. M., Coussens, L. M., Dive, C., Emberton, M., Esener, S., Fitzgerald, R. C., Gambhir, S. S., Kuhn, P., et al. (2022) · Science · doi:10.1126/science.aay9040 · Cited by 1,379
Shin, H., Jeong, H., Park, J., Hong, S., & Choi, Y. (2018) · ACS Sensors · doi:10.1021/acssensors.8b01047 · Cited by 246
Self-citationIn 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
Cited by
Yang, Z., Tian, T., Kong, J., & Chen, H. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.4c06677 · Cited by 46
Li, F., Chao, S., Wang, X., Hu, Z., Wang, D., Tang, C., Gong, Z., Zhang, H., & Fan, M. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.5c07025 · Cited by 8
Metadata
- Authors
- Shin, H., Choi, B. H., Shim, O., Kim, J., Park, Y., Cho, S. K., Kim, H. K., & Choi, Y.
- Venue
- Nature Communications
- Published
- 2023-03-24
- Volume
- 14
- Issue
- 1
- Pages
- 1644-1644
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W4360826436
- Cited by
- 402
- References
- 8
- FWCI
- 44.74
- Type
- journal article
- Language
- en
- Open access
- gold
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- Shin, H., Choi, B. H., Shim, O., Kim, J., Park, Y., Cho, S. K., Kim, H. K., & Choi, Y. (2023). Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers. Nature Communications. https://doi.org/10.1038/s41467-023-37403-1
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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.
