Evidence map›Paper›PMID 29665104›Full record

ReviewJournal of labelled compounds & radiopharmaceuticals2018

Understanding the in vivo fate of radioimmunoconjugates for nuclear imaging.

Delphine Vivier, Sai Kiran Sharma, Brian M Zeglis

Abstract readReview
In one paragraph

Review in Journal of labelled compounds & radiopharmaceuticals, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 49 citations in OpenAlex.

  1. Prospective pilot study with [European journal of nuclear medicine and molecular imaging · 2026
    Trial
  2. [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  3. PD-L1 Immuno-PET Reveals Systemic Effects of Localized Oncolytic Virotherapy in a Mouse Model of Head and Neck Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  4. Preclinical Evaluation of 5T4-Targeted [Journal of medicinal chemistry · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Antibody Engineering for Nuclear Imaging and Radioimmunotherapy.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  17. Article
  18. Article
  19. Cysteine-specificFrontiers in immunology · 2022
    Article
  20. Article
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

3 authors at 2 institutions in 1 country.

Delphine VivierDepartment of Chemistry, Hunter College of the City University of New York, New York, New York, USA.ORCID 0000-0002-7903-2819
Sai Kiran SharmaDepartment of Radiology and the Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-8199-7601
Brian M ZeglisDepartment of Chemistry, Hunter College of the City University of New York, New York, New York, USA.ORCID 0000-0002-9091-744X
Memorial Sloan Kettering Cancer Center · USCity University of New York · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Pretargeted Clinical Imaging of CA19.9 in Pancreatic CancerU01CA221046 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LEWIS, JASON S., ZEGLIS, BRIAN MATTHEW · 2018 to 2022
$3.5M
The Clinical PET Imaging of Metastatic Breast Cancer with Site-Specifically Labeled 89Zr-TrastuzumabR01CA204167 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LEWIS, JASON S., ULANER, GARY ALLAN · 2016 to 2020
$3.4M
Biomarkers for predicting response to Hsp90 therapyR01CA172546 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA, DUNPHY, MARK P. · 2013 to 2017
$2.9M
Pretargeted Radioimmunotherapy Based on Bioorthogonal Click ChemistryR00CA178205 · NCI · HUNTER COLLEGE · PI ZEGLIS, BRIAN MATTHEW · 2015 to 2017
$747k
NCI NIH HHS P30 CA008748NCI NIH HHS R00 CA178205NCI NIH HHS R01 CA172546NCI NIH HHS R01 CA204167NCI NIH HHS U01 CA221046
6 · The paper itself

Abstract

Over the past 25 years, antibodies have emerged as extraordinarily promising vectors for the delivery of radionuclides to tumors for nuclear imaging. While radioimmunoconjugates often produce very high activity concentrations in target tissues, they also are frequently characterized by elevated activity concentrations in healthy organs as well. The root of this background uptake lies in the complex network of biological interactions between the radioimmunoconjugate and the subject. In this review, we seek to provide an overview of these interactions and thus paint a general picture of the in vivo fate of radioimmunoconjugates. To cover the entire story, we have divided our discussion into 2 parts. First, we will address the path of the entire radioimmunoconjugate as it travels through the body. And second, we will cover the fate of the radionuclide itself, as its course can diverge from the antibody under certain circumstances. Ultimately, our goal is to provide the nuclear imaging field with a resource covering these important-yet often underestimated-pathways.

Indexed as

ImmunoconjugatesAnimalsAntibodiesHumansPositron-Emission TomographyRadioisotopesTissue DistributionTomography, Emission-Computed, Single-PhotonAntibodiesImmunoconjugatesRadioisotopesantibodiescopper-64FcRnimmunoPETimmunoSPECTindium-111monoclonal antibodiesPETpharmacodynamicspharmacokineticspositron emission tomographyradioimmunoconjugatesradioiodineradiometalssingle photon emission computed tomographySPECTzirconium-89

Identifiers

PMID29665104
PMCPMC6432633
OpenAlexW2800189674

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.