Evidence map›Paper›PMID 25359880›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2014

Glypican-3-targeting F(ab')2 for 89Zr PET of hepatocellular carcinoma.

Jonathan G Sham, Forrest M Kievit, John R Grierson, Peter A Chiarelli, Robert S Miyaoka, Miqin Zhang, Raymond S Yeung, Satoshi Minoshima, James O Park

Open access · bronzeAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 68 citations in OpenAlex.

  1. Glypican-3-targeted bioconjugates for hepatocellular carcinoma: design, engineering, and translational applications.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
    Review
  2. Review
  3. Glypican-3-targeted immunoPET imaging of hepatocellular carcinoma: a translational study.European journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Diagnosis and Treatment Response Monitoring of Liver Cancer Using Glypican-3-Targeted Single-Domain Antibody PET.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Radiopharmaceuticals and their applications in medicine.Signal transduction and targeted therapy · 2025
    Review
  10. Review
  11. Article
  12. Site-Specifically Conjugated Single-Domain Antibody Successfully Identifies Glypican-3-Expressing Liver Cancer by Immuno-PET.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  13. Article
  14. Review
  15. PET imaging of hepatocellular carcinoma by targeting tumor-associated endothelium using [European journal of nuclear medicine and molecular imaging · 2022
    Article
  16. Glypican-3-TargetedJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  17. GPC3-targeted immunoPET imaging of hepatocellular carcinomas.European journal of nuclear medicine and molecular imaging · 2022
    Article
  18. Imaging ligands targeting glypican-3 receptor expression in hepatocellular carcinoma.American journal of nuclear medicine and molecular imaging · 2022
    Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Jonathan G ShamDepartment of Surgery, University of Washington, Seattle, Washington.
Forrest M KievitDepartment of Neurological Surgery, University of Washington, Seattle, Washington.
John R GriersonDepartment of Radiology, University of Washington, Seattle, Washington; and.
Peter A ChiarelliDepartment of Neurological Surgery, University of Washington, Seattle, Washington.
Robert S MiyaokaDepartment of Radiology, University of Washington, Seattle, Washington; and.
Miqin ZhangDepartment of Materials Science & Engineering, University of Washington, Seattle, Washington.
Raymond S YeungDepartment of Surgery, University of Washington, Seattle, Washington.
Satoshi MinoshimaDepartment of Radiology, University of Washington, Seattle, Washington; and.
James O ParkDepartment of Surgery, University of Washington, Seattle, Washington jopark@uw.edu.
University of Washington · USNeurological Surgery · US

Funding

Nanotechnology and Physical Science Training Program in Cancer ResearchT32CA138312 · NCI · UNIVERSITY OF WASHINGTON · PI ZHANG, MIQIN · 2009 to 2013
$1.5M
NCI NIH HHS T32 CA138312NCI NIH HHS T32CA138312
6 · The paper itself

Abstract

unlabelledHepatocellular carcinoma (HCC) is an increasingly lethal malignancy for which management is critically dependent on accurate imaging. Glypican-3 (GPC3) is a cell surface receptor overexpressed in most HCCs and provides a unique target for molecular diagnostics. The use of monoclonal antibodies (mAbs) that target GPC3 (αGPC3) in PET imaging has shown promise but comes with inherent limitations associated with mAbs such as long circulation times. This study used (89)Zr-conjugated F(ab')2 fragments directed against GPC3 ((89)Zr-αGPC3-F(ab')2) to evaluate the feasibility of the fragments as a diagnostic immuno-PET imaging probe.

methodsImmobilized ficin was used to digest αGPC3, creating αGPC3-F(ab')2 fragments subsequently conjugated to (89)Zr. In vivo biodistribution and PET studies were performed on GPC3-expressing HepG2 and GPC3-nonexpressing RH7777 orthotopic xenografts.

resultsReliable αGPC3-F(ab')2 production via immobilized ficin digestion was verified by high-performance liquid chromatography and sodium dodecyl sulfate polyacrylamide gel electrophoresis. (89)Zr-αGPC3-F(ab')2 demonstrated F(ab')2-dependent, antigen-specific cell binding. HepG2 tumor uptake was higher than any other tissue, peaking at 100 ± 21 percentage injected dose per gram (%ID/g) 24 h after injection, a value 33- to 38-fold higher than GPC3-nonexpressing RH7777 tumors. The blood half-life of the (89)Zr-αGPC3-F(ab')2 conjugate was approximately 11 h, compared with approximately 115 h for historic mAb controls. This shorter half-life enabled clear tumor visualization on PET 4 h after administration, with a resultant peak tumor-to-liver contrast ratio of 23.3. Blocking antigen-expressing tumors with an excess of nonradiolabeled αGPC3 resulted in decreased tumor uptake similar to native liver. The kidneys exhibited high tissue uptake, peaking at 24 h with 83 ± 12 %ID/g. HepG2 tumors ranging from 1.5 to 7 mm were clearly visible on PET, whereas larger RH7777 tumors displayed signal lower than background liver tissue.

conclusionThis study demonstrates the feasibility of using (89)Zr-αGPC3-F(ab')2 for intrahepatic tumor localization with small-animal PET. Faster blood clearance and lower background liver uptake enable excellent signal-to-noise ratios at early time points. Increased renal uptake is similar to that as has been seen with clinical radioactive peptide imaging. (89)Zr-αGPC3-F(ab')2 addresses some of the shortcomings of whole-antibody immuno-PET probes. Further optimization is warranted to maximize probe sensitivity and specificity in the process of clinical translation.

Indexed as

Immunoglobulin Fab FragmentsRadiopharmaceuticalsAnimalsCarcinoma, HepatocellularFemaleGlypicansLiver NeoplasmsMiceMice, NudeRadioisotopesRadionuclide ImagingTissue DistributionWhole Body ImagingZirconiumGlypicansImmunoglobulin Fab FragmentsRadioisotopesRadiopharmaceuticalsZirconium89ZrF(ab′)2glypican-3hepatocellular carcinoma (HCC)positron emission tomography (PET)

Identifiers

PMID25359880
PMCPMC4259878
OpenAlexW2043137079

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.