The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Multiparametric plasma EV profiling facilitates diagnosis of pancreatic malignancy
Open accessAbstract
A multiplexed plasmonic assay analyzes circulating tumor-derived extracellular vesicles for detection of pancreatic ductal adenocarcinoma.
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Cites
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
Glypican-1 identifies cancer exosomes and detects early pancreatic cancer
Melo, S. A., Luecke, L. B., Kahlert, C., Fernandez, A. F., Gammon, S. T., Kaye, J., LeBleu, V. S., Mittendorf, E. A., Weitz, J., Rahbari, N., et al. (2015) · Nature · doi:10.1038/nature14581 · Cited by 2,880
Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver
Costa-Silva, B., Aiello, N. M., Ocean, A. J., Singh, S., Zhang, H., Thakur, B. K., Becker, A., Hoshino, A., Mark, M. T., Molina, H., et al. (2015) · Nature Cell Biology · doi:10.1038/ncb3169 · Cited by 2,692
Rahib, L., Fleshman, J. M., Matrisian, L. M., & Berlin, J. D. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.0585 · Cited by 73
Precision medicine in pancreatic cancer — fact or fiction?
Seufferlein, T., & Mayerle, J. (2016) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2015.215 · Cited by 35 · cited 2×
“Various approaches to achieving this are being explored (5, 6), including the use of CA242 (3), circulating tumor cells (7), circulating tumor-derived extracellular vesicles (tEVs), which include exosomes (8), metabolites (9) and proteomic analyses (10, 11), and circulating DNA (12).”
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Cited by
The biology , function , and biomedical applications of exosomes
Kalluri, R., & LeBleu, V. S. (2020) · Science · doi:10.1126/science.aau6977 · Cited by 10,770
“…of GPC1 (glypican 1) – positive exosomes in the diagnosis of pancreatic, breast, and colon cancer, with GPC1 being enriched in cancer cell – derived exosomes, thus enabling the detection of cancer and possibly response to therapy (decrease in exosome numbers and thustumorburden)( 207 – 216 ).”
Goggins, M., Overbeek, K. A., Brand, R., Syngal, S., Del Chiaro, M., Bartsch, D. K., Bassi, C., Carrato, A., Farrell, J., Fishman, E. K., et al. (2020) · Gut · doi:10.1136/gutjnl-2019-319352 · Cited by 659
The evolving translational potential of small extracellular vesicles in cancer
Möller, A., & Lobb, R. J. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-020-00299-w · Cited by 544
Liu, C., Zhao, J., Tian, F., Cai, L., Zhang, W., Feng, Q., Chang, J., Wan, F., Yang, Y., Dai, B., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0343-6 · Cited by 482
Early screening and diagnosis strategies of pancreatic cancer: a comprehensive review
Yang, J., Xu, R., Wang, C., Qiu, J., Ren, B., & You, L. (2021) · Cancer Communications · doi:10.1002/cac2.12204 · Cited by 379
Metadata
- Authors
- Yang, K. S., Im, H., Hong, S., Pergolini, I., del Castillo, A. F., Wang, R., Clardy, S., Huang, C.-H., Pille, C., Ferrone, S., Yang, R., Castro, C. M., Lee, H., del Castillo, C. F., & Weissleder, R.
- Venue
- Science Translational Medicine
- Published
- 2017-05-24
- Volume
- 9
- Issue
- 391
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- OpenAlex
- W2619475721
- Cited by
- 277
- References
- 5
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Multiparametric plasma EV profiling facilitates diagnosis of pancreatic malignancy. https://app.cochat.ai/papers/10.1126/scitranslmed.aal3226
- The paper
- Yang, K. S., Im, H., Hong, S., Pergolini, I., del Castillo, A. F., Wang, R., Clardy, S., Huang, C.-H., Pille, C., Ferrone, S., Yang, R., Castro, C. M., Lee, H., del Castillo, C. F., & Weissleder, R. (2017). Multiparametric plasma EV profiling facilitates diagnosis of pancreatic malignancy. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.aal3226
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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.
