Evidence map›Paper›PMID 22068895›Full record

Trial reportJournal of nuclear medicine : official publication, Society of Nuclear Medicine2011

124I-huA33 antibody uptake is driven by A33 antigen concentration in tissues from colorectal cancer patients imaged by immuno-PET.

Joseph A O'Donoghue, Peter M Smith-Jones, John L Humm, Shutian Ruan, Daniel A Pryma, Achim A Jungbluth, Chaitanya R Divgi, Jorge A Carrasquillo, Neeta Pandit-Taskar, Yuman Fong and 4 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 58 citations in OpenAlex.

  1. Copper-64 trastuzumab PET imaging: a reproducibility study.The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of... · 2019
    Trial
  2. Trial
  3. Trial
  4. Establishment ofMolecular pharmaceutics · 2026
    Article
  5. Diverse Roles of Antibodies in Antibody-Drug Conjugates.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  6. Theranostic GPA33-Pretargeted Radioimmunotherapy of Human Colorectal Carcinoma with a BivalentJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  7. Advances and challenges in immunoPET methodology.Frontiers in nuclear medicine · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Proceedings: Pathways for Successful Translation of New Imaging Agents and Modalities-Phase III Studies.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Article
  16. Review
  17. Article
  18. Article
  19. Article
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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

14 authors at 2 institutions in 1 country.

Joseph A O'DonoghueDepartment of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA.
Peter M Smith-Jones
John L Humm
Shutian Ruan
Daniel A Pryma
Achim A Jungbluth
Chaitanya R Divgi
Jorge A Carrasquillo
Neeta Pandit-Taskar
Yuman Fong
Vivian E Strong
Nancy E Kemeny
Lloyd J Old
Steven M Larson
Memorial Sloan Kettering Cancer Center · USLudwig Cancer Research · US

Funding

TREATMENT OF CANCER PATIENTS WITH THYMIC FACTORSP01CA033049 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI DIVGI, CHAITANYA R. · 1985 to 2009
$19.8M
NCI NIH HHS P01 CA033049NCI NIH HHS P01 CA33049
6 · The paper itself

Abstract

unlabelledThe primary aim of this analysis was to examine the quantitative features of antibody-antigen interactions in tumors and normal tissue after parenteral administration of antitumor antibodies to human patients.

methodsHumanized anti-A33 antibody (10 mg) labeled with the positron-emitting radionuclide (124)I ((124)I-huA33) was injected intravenously in 15 patients with colorectal cancer. Clinical PET/CT was performed approximately 1 wk later, followed by a detailed assay of surgically removed tissue specimens including radioactivity counting, autoradiography, immunohistochemistry, and antigen density determination.

resultsPET/CT showed high levels of antibody targeting in tumors and normal bowel. In tissue specimens, the spatial distribution of (124)I-huA33 conformed to that of A33 antigen, and there was a linear relationship between the amount of bound antibody and antigen concentration. Antibody uptake was high in 1- to 2-mm regions of antigen-positive tumor cells (mean, ~0.05 percentage injected dose per gram) and in antigen-positive normal colonic mucosa (mean, ~0.03 percentage injected dose per gram). The estimated binding site occupancy for tumor and normal colon was 20%-50%.

conclusionThe in vivo biodistribution of (124)I-huA33 in human patients 1 wk after antibody administration was determined by A33 antigen expression. Our data imply that the optimal strategy for A33-based radioimmunotherapy of colon cancer will consist of a multistep treatment using a radionuclide with short-range (α- or β-particle) emissions.

Indexed as

Multimodal ImagingPositron-Emission TomographyTomography, X-Ray ComputedAgedAnimalsAntibodies, Monoclonal, HumanizedAutoradiographyColorectal NeoplasmsFemaleHumansIodine RadioisotopesMaleMembrane GlycoproteinsMiddle AgedProtein TransportAntibodies, Monoclonal, HumanizedGPA33 protein, humanIodine RadioisotopesMembrane Glycoproteins

Identifiers

PMID22068895
PMCPMC3394180
OpenAlexW2157807832

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.