Evidence map›Paper›PMID 24578722›Full record

ReviewTheranostics2014

Nanobody: the "magic bullet" for molecular imaging?

Rubel Chakravarty, Shreya Goel, Weibo Cai

Open access · goldAbstract readReview
In one paragraph

Review in Theranostics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 1 pooled it
17.4field-weighted citation impact, top 1% 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

140 citing papers in PubMed, 1 synthesis or guideline pooled it, 285 citations in OpenAlex.

  1. Pooled it
  2. Detection of HER2 expression usingBreast cancer research : BCR · 2024
    Trial
  3. Article
  4. Affinity- and Format-Dependent Pharmacokinetics ofPharmaceuticals (Basel, Switzerland) · 2026
    Article
  5. Evaluation of albumin-binding PD-L1-targeted VHH for PET imaging in colorectal cancer.American journal of nuclear medicine and molecular imaging · 2026
    Article
  6. Advances in Nanobody-Based Platforms for Precision Cancer Diagnosis and Therapy.Polymer science & technology (Washington, D.C.) · 2025
    Review
  7. Review
  8. Review
  9. Review
  10. Radioiodinated Nanobody immunoPET probe for in vivo detection of CD147 in pan-cancer.European journal of nuclear medicine and molecular imaging · 2025
    Article
  11. Review
  12. Review
  13. Preclinical evaluation and pilot clinical study of [European journal of nuclear medicine and molecular imaging · 2025
    Article
  14. Article
  15. CD38 as theranostic target in oncology.Journal of translational medicine · 2024
    Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article

80 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Rubel Chakravarty1. Department of Radiology, University of Wisconsin - Madison, WI, USA ; 2. Isotope Applications and Radiopharmaceuticals Division, Bhabha Atomic Research Centre, Mumbai, India.
Shreya Goel3. Materials Science Program, University of Wisconsin-Madison, WI, USA.
Weibo Cai1. Department of Radiology, University of Wisconsin - Madison, WI, USA ; 3. Materials Science Program, University of Wisconsin-Madison, WI, USA ; 4. Department of Medical Physics, University of Wisconsin - Madison, WI, USA ; 5. University of Wisconsin Carbone Cancer Center, Madison, WI, USA.
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
Novel Combination Therapy for Prostate CancerR01CA169365 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CAI, WEIBO · 2013 to 2015
$903k
NCI NIH HHS 1R01 CA169365NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA169365
6 · The paper itself

Abstract

Molecular imaging involves the non-invasive investigation of biological processes in vivo at the cellular and molecular level, which can play diverse roles in better understanding and treatment of various diseases. Recently, single domain antigen-binding fragments known as 'nanobodies' were bioengineered and tested for molecular imaging applications. Small molecular size (~15 kDa) and suitable configuration of the complementarity determining regions (CDRs) of nanobodies offer many desirable features suitable for imaging applications, such as rapid targeting and fast blood clearance, high solubility, high stability, easy cloning, modular nature, and the capability of binding to cavities and difficult-to-access antigens. Using nanobody-based probes, several imaging techniques such as radionuclide-based, optical and ultrasound have been employed for visualization of target expression in various disease models. This review summarizes the recent developments in the use of nanobody-based probes for molecular imaging applications. The preclinical data reported to date are quite promising, and it is expected that nanobody-based molecular imaging agents will play an important role in the diagnosis and management of various diseases.

Indexed as

Single-Domain AntibodiesAnimalsCarcinoembryonic AntigenErbB ReceptorsHepatocyte Growth FactorHumansLectins, C-TypeMannose-Binding LectinsMannose ReceptorMolecular ImagingPositron-Emission TomographyReceptors, Cell SurfaceCarcinoembryonic AntigenErbB ReceptorsHepatocyte Growth FactorLectins, C-TypeMannose-Binding LectinsMannose ReceptorReceptors, Cell SurfaceSingle-Domain Antibodiesarthritisatherosclerosiscancermolecular imagingNanobodypositron emission tomography (PET)

Identifiers

PMID24578722
PMCPMC3936291
OpenAlexW2098210920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.