Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 176

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Integrin αβ3-Targeted Imaging of Lung Cancer

Open access
Chen, Xiaoyuan, Sievers, Eric, Hou, Yingping, Park, Ryan, Tohme, Michel, Bart, Robert, Bremner, Ross, Bading, James R., Conti, Peter S.·2005·Neoplasia

Abstract

A series of radiolabeled cyclic arginine-glycine-aspartic acid (RGD) peptide ligands for cell adhesion molecule integrin alpha v beta 3-targeted tumor angiogenesis targeting are being developed in our laboratory. In this study, this effort continues by applying a positron emitter 64Cu-labeled PEGylated dimeric RGD peptide radiotracer 64Cu-DOTA-PEG-E[c(RGDyK)]2 for lung cancer imaging. The PEGylated RGD peptide indicated integrin alpha v beta 3 avidity, but the PEGylation reduced the receptor binding affinity of this ligand compared to the unmodified RGD dimer. The radiotracer revealed rapid blood clearance and predominant renal clearance route. The minimum nonspecific activity accumulation in normal lung tissue and heart rendered high-quality orthotopic lung cancer tumor images, enabling clear demarcation of both the primary tumor at the upper lobe of the left lung, as well as metastases in the mediastinum, contralateral lung, and diaphragm. As a comparison, fluorodeoxyglucose (FDG) scans on the same mice were only able to identify the primary tumor, with the metastatic lesions masked by intense cardiac uptake and high lung background. 64Cu-DOTA-PEG-E[c(RGDyK)]2 is an excellent position emission tomography (PET) tracer for integrin-positive tumor imaging. Further studies to improve the receptor binding affinity of the tracer and subsequently to increase the magnitude of tumor uptake without comprising the favorable in vivo kinetics are currently in progress.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1593/neo.04538

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Metadata

Authors
Chen, X., Sievers, E., Hou, Y., Park, R., Tohme, M., Bart, R., Bremner, R., Bading, J. R., & Conti, P. S.
Venue
Neoplasia
Publisher
Elsevier BV
Published
2005-03
Volume
7
Issue
3
Pages
271-279
ISSN
1476-5586 (ISSN-L)
OpenAlex
W2041618472
Cited by
176
References
1
FWCI
15.24
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Integrin αβ3-Targeted Imaging of Lung Cancer. https://app.cochat.ai/papers/10.1593/neo.04538
The paper
Chen, X., Sievers, E., Hou, Y., Park, R., Tohme, M., Bart, R., Bremner, R., Bading, J. R., & Conti, P. S. (2005). Integrin αβ3-Targeted Imaging of Lung Cancer. Neoplasia. https://doi.org/10.1593/neo.04538

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.