The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Sensitive β-galactosidase-targeting fluorescence probe for visualizing small peritoneal metastatic tumours in vivo
Open accessAbstract
Fluorescence-guided diagnostics is one of the most promising approaches for facile detection of cancer in situ. Here we focus on β-galactosidase, which is overexpressed in primary ovarian cancers, as a molecular target for visualizing peritoneal metastases from ovarian cancers. As existing fluorescence probes are unsuitable, we have designed membrane-permeable HMRef-βGal, in which the optimized intramolecular spirocyclic function affords >1,400-fold fluorescence enhancement on activation. We confirm that HMRef-βGal sensitively detects intracellular β-galactosidase activity in several ovarian cancer lines. In vivo, this probe visualizes metastases as small as <1 mm in diameter in seven mouse models of disseminated human peritoneal ovarian cancer (SHIN3, SKOV3, OVK18, OVCAR3, OVCAR4, OVCAR5 and OVCAR8). Because of its high brightness, real-time detection of metastases with the naked eye is possible. Endoscopic fluorescence detection of metastases is also demonstrated. The results clearly indicate preclinical potential value of the probe for fluorescence-guided diagnosis of peritoneal metastases from ovarian cancers.
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
Multidrug resistance in cancer: role of ATP–dependent transporters
Gottesman, M. M., Fojo, T., & Bates, S. E. (2002) · Nature Reviews Cancer · doi:10.1038/nrc706 · Cited by 5,536
Stummer, W., Pichlmeier, U., Meinel, T., Wiestler, O. D., Zanella, F., & Reulen, H.-J. (2006) · The Lancet Oncology · doi:10.1016/s1470-2045(06)70665-9 · Cited by 3,423
Koenig, F., McGovern, F. J., Larne, R., Enquist, H., Schomacker, K. T., & Deutsch, T. F. (1999) · BJU International · doi:10.1046/j.1464-410x.1999.00917.x · Cited by 129
Cited by
Recent progresses in small-molecule enzymatic fluorescent probes for cancer imaging
Liu, H.-W., Chen, L., Xu, C., Li, Z., Zhang, H., Zhang, X.-B., & Tan, W. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00862g · Cited by 948
A guide to assessing cellular senescence in vitro and in vivo
González‐Gualda, E., Baker, A. G., Fruk, L., & Muñoz‐Espín, D. (2021) · The FEBS Journal · doi:10.1111/febs.15570 · Cited by 645
Fluorescent Probes for Disease Diagnosis
Wang, X., Ding, Q., Groleau, R. R., Wu, L., Mao, Y., Che, F., Kotova, O., Scanlan, E. M., Lewis, S. E., Li, P., et al. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00776 · Cited by 543
Theranostic Fluorescent Probes
Sharma, A., Verwilst, P., Li, M., Ma, D., Singh, N., Yoo, J., Kim, Y., Yang, Y., Zhu, J.-H., Huang, H., et al. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00778 · Cited by 499
Gu, K., Xu, Y., Li, H., Guo, Z., Zhu, S., Zhu, S., Shi, P., James, T. D., Tian, H., & Zhu, W.-H. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b01705 · Cited by 498
Metadata
- Authors
- Asanuma, D., Sakabe, M., Kamiya, M., Yamamoto, K., Hiratake, J., Ogawa, M., Kosaka, N., Choyke, P. L., Nagano, T., Kobayashi, H., & Urano, Y.
- Venue
- Nature Communications
- Published
- 2015-03-13
- Volume
- 6
- Issue
- 1
- Pages
- 6463-6463
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2076815045
- Cited by
- 418
- References
- 3
- FWCI
- 14.57
- Type
- journal article
- Language
- en
- Open access
- gold
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.