The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
First-in-Human Molecular Imaging of HER2 Expression in Breast Cancer Metastases Using the 111In-ABY-025 Affibody Molecule
Open accessAbstract
UNLABELLED: The expression status of human epidermal growth factor receptor type 2 (HER2) predicts the response of HER2-targeted therapy in breast cancer. ABY-025 is a small reengineered Affibody molecule targeting a unique epitope of the HER2 receptor, not occupied by current therapeutic agents. This study evaluated the distribution, safety, dosimetry, and efficacy of (111)In-ABY-025 for determining the HER2 status in metastatic breast cancer. METHODS: Seven patients with metastatic breast cancer and HER2-positive (n = 5) or -negative (n = 2) primary tumors received an intravenous injection of approximately 100 μg (∼ 140 MBq) of (111)In-ABY-025. Planar γ-camera imaging was performed after 30 min, followed by SPECT/CT after 4, 24, and 48 h. Blood levels of radioactivity, antibodies, shed serum HER2, and toxicity markers were evaluated. Lesional HER2 status was verified by biopsies. The metastases were located by (18)F-FDG PET/CT 5 d before (111)In-ABY-025 imaging. RESULTS: Injection of (111)In-ABY-025 yielded a mean effective dose of 0.15 mSv/MBq and was safe, well tolerated, and without drug-related adverse events. Fast blood clearance allowed high-contrast HER2 images within 4-24 h. No anti-ABY-025 antibodies were observed. When metastatic uptake at 24 h was normalized to uptake at 4 h, the ratio increased in HER2-positive metastases and decreased in negative ones (P < 0.05), with no overlap and confirmation by biopsies. In 1 patient, with HER2-positive primary tumor, (111)In-ABY-025 imaging correctly suggested a HER2-negative status of the metastases. The highest normal-tissue uptake was in the kidneys, followed by the liver and spleen. CONCLUSION: (111)In-ABY-025 appears safe for use in humans and is a promising noninvasive tool for discriminating HER2 status in metastatic breast cancer, regardless of ongoing HER2-targeted antibody treatment.
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
Slamon, D. J., Leyland-Jones, B., Shak, S., Fuchs, H., Paton, V., Bajamonde, A., Fleming, T., Eiermann, W., Wolter, J., Pegram, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103153441101 · Cited by 11,500
Trastuzumab emtansine for HER2-positive advanced breast cancer
Verma, S., Miles, D., Gianni, L., Krop, I. E., Welslau, M., Baselga, J., Pegram, M., Oh, D.-Y., Diéras, V., Guardino, E., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1209124 · Cited by 3,834
Cited by
Phase I Study of 68Ga-HER2-Nanobody for PET/CT Assessment of HER2 Expression in Breast Carcinoma
Keyaerts, M., Xavier, C., Heemskerk, J., Devoogdt, N., Everaert, H., Ackaert, C., Vanhoeij, M., Duhoux, F. P., Gevaert, T., Simon, P., et al. (2016) · Journal of Nuclear Medicine · doi:10.2967/jnumed.115.162024 · Cited by 429
Affibody Molecules in Biotechnological and Medical Applications
Ståhl, S., Gräslund, T., Eriksson Karlström, A., Frejd, F. Y., Nygren, P.-Å., & Löfblom, J. (2017) · Trends in Biotechnology · doi:10.1016/j.tibtech.2017.04.007 · Cited by 382
Bridging Bio–Nano Science and Cancer Nanomedicine
Björnmalm, M., Thurecht, K. J., Michael, M., Scott, A. M., & Caruso, F. (2017) · ACS Nano · doi:10.1021/acsnano.7b04855 · Cited by 382
Affibody molecules as engineered protein drugs
Frejd, F. Y., & Kim, K.-T. (2017) · Experimental & Molecular Medicine · doi:10.1038/emm.2017.35 · Cited by 225
Metadata
- Authors
- Sörensen, J., Sandberg, D., Sandström, M., Wennborg, A., Feldwisch, J., Tolmachev, V., Åström, G., Lubberink, M., Garske-Román, U., Carlsson, J., & Lindman, H.
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2014-03-24
- Volume
- 55
- Issue
- 5
- Pages
- 730-735
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- OpenAlex
- W2132840811
- Cited by
- 258
- References
- 2
- FWCI
- 22.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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: First-in-Human Molecular Imaging of HER2 Expression in Breast Cancer Metastases Using the 111In-ABY-025 Affibody Molecule. https://app.cochat.ai/papers/10.2967/jnumed.113.131243
- The paper
- Sörensen, J., Sandberg, D., Sandström, M., Wennborg, A., Feldwisch, J., Tolmachev, V., Åström, G., Lubberink, M., Garske-Román, U., Carlsson, J., & Lindman, H. (2014). First-in-Human Molecular Imaging of HER2 Expression in Breast Cancer Metastases Using the 111In-ABY-025 Affibody Molecule. Journal of Nuclear Medicine. https://doi.org/10.2967/jnumed.113.131243
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.