The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
In vivo targeting and positron emission tomography imaging of tumor vasculature with 66Ga-labeled nano-graphene
Open accessAbstract
The goal of this study was to employ nano-graphene for tumor targeting in an animal tumor model, and quantitatively evaluate the pharmacokinetics and tumor targeting efficacy through positron emission tomography (PET) imaging using 66Ga as the radiolabel. Nano-graphene oxide (GO) sheets with covalently linked, amino group-terminated six-arm branched polyethylene glycol (PEG; 10 kDa) chains were conjugated to NOTA (1,4,7-triazacyclononane-1,4,7-triacetic acid, for 66Ga-labeling) and TRC105 (an antibody that binds to CD105). Flow cytometry analyses, size measurements, and serum stability studies were performed to characterize the GO conjugates before in vivo investigations in 4T1 murine breast tumor-bearing mice, which were further validated by histology. TRC105-conjugated GO was specific for CD105 in cell culture. 66Ga-NOTA-GO-TRC105 and 66Ga-NOTA-GO exhibited excellent stability in complete mouse serum. In 4T1 tumor-bearing mice, these GO conjugates were primarily cleared through the hepatobiliary pathway. 66Ga-NOTA-GO-TRC105 accumulated quickly in the 4T1 tumors and tumor uptake remained stable over time (3.8 ± 0.4, 4.5 ± 0.4, 5.8 ± 0.3, and 4.5 ± 0.4 %ID/g at 0.5, 3, 7, and 24 h post-injection respectively; n = 4). Blocking studies with unconjugated TRC105 confirmed CD105 specificity of 66Ga-NOTA-GO-TRC105, which was corroborated by biodistribution and histology studies. Furthermore, histological examination revealed that targeting of NOTA-GO-TRC105 is tumor vasculature CD105 specific with little extravasation. Successful demonstration of in vivo tumor targeting with GO, along with the versatile chemistry of graphene-based nanomaterials, makes them suitable nanoplatforms for future biomedical research such as cancer theranostics.
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
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Cited by
Nano-graphene in biomedicine: theranostic applications
Yang, K., Feng, L., Shi, X., & Liu, Z. (2013) · Chem. Soc. Rev. · doi:10.1039/c2cs35342c · Cited by 1,634
SERS Nanoparticles in Medicine: From Label-Free Detection to Spectroscopic Tagging
Lane, L. A., Qian, X., & Nie, S. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00265 · Cited by 873
New Horizons for Diagnostics and Therapeutic Applications of Graphene and Graphene Oxide
Feng, L., Wu, L., & Qu, X. (2013) · Advanced Materials · doi:10.1002/adma.201203229 · Cited by 632
Nanocarbons for Biology and Medicine: Sensing, Imaging, and Drug Delivery
Panwar, N., Soehartono, A. M., Chan, K. K., Zeng, S., Xu, G., Qu, J., Coquet, P., Yong, K.-T., & Chen, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00099 · Cited by 555
The Use of Alternative Strategies for Enhanced Nanoparticle Delivery to Solid Tumors
Izci, M., Maksoudian, C., Manshian, B. B., & Soenen, S. J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00779 · Cited by 506
Metadata
- Authors
- Hong, H., Zhang, Y., Engle, J. W., Nayak, T. R., Theuer, C. P., Nickles, R. J., Barnhart, T. E., & Cai, W.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 33
- Issue
- 16
- Pages
- 4147-4156
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W1966639238
- Cited by
- 204
- References
- 1
- FWCI
- 18.02
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: In vivo targeting and positron emission tomography imaging of tumor vasculature with 66Ga-labeled nano-graphene. https://app.cochat.ai/papers/10.1016/j.biomaterials.2012.02.031
- The paper
- Hong, H., Zhang, Y., Engle, J. W., Nayak, T. R., Theuer, C. P., Nickles, R. J., Barnhart, T. E., & Cai, W. (2012). In vivo targeting and positron emission tomography imaging of tumor vasculature with 66Ga-labeled nano-graphene. Biomaterials. https://doi.org/10.1016/j.biomaterials.2012.02.031
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.