Evidence map›Paper›PMID 33925941›Full record

ReviewBiomolecules2021

Nanobodies for Medical Imaging: About Ready for Prime Time?

Léa Berland, Lauren Kim, Omar Abousaway, Andrea Mines, Shruti Mishra, Louise Clark, Paul Hofman, Mohammad Rashidian

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. PET Imaging in Pulmonary Hypertension.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Can Nuclear Imaging Detect Trained Immunity in Cardiovascular Disease?Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  9. Review
  10. Review
  11. Specific imaging of CD8 + T-Cell dynamics with a nanobody radiotracer against human CD8β.European journal of nuclear medicine and molecular imaging · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. NANOBODYInternational journal of molecular sciences · 2023
    Review
  17. Review
  18. Review
  19. 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

8 authors at 3 institutions in 2 countries.

Léa BerlandDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Lauren KimDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0001-9844-247X
Omar AbousawayDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Andrea MinesDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Shruti MishraDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Louise ClarkDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Paul HofmanUniversité Côte d'Azur, CNRS, INSERM, IRCAN, 06100 Nice, France.
Mohammad RashidianDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Dana-Farber Cancer Institute · USCentre National de la Recherche Scientifique · FRHarvard University · US

Funding

Noninvasive monitoring and evaluation of anti-tumor responses as a predictive toolK22CA226040 · NCI · DANA-FARBER CANCER INST · PI RASHIDIAN, MOHAMMAD · 2019 to 2021
$574k
NCI NIH HHS K22 CA226040
6 · The paper itself

Abstract

Recent advances in medical treatments have been revolutionary in shaping the management and treatment landscape of patients, notably cancer patients. Over the last decade, patients with diverse forms of locally advanced or metastatic cancer, such as melanoma, lung cancers, and many blood-borne malignancies, have seen their life expectancies increasing significantly. Notwithstanding these encouraging results, the present-day struggle with these treatments concerns patients who remain largely unresponsive, as well as those who experience severely toxic side effects. Gaining deeper insight into the cellular and molecular mechanisms underlying these variable responses will bring us closer to developing more effective therapeutics. To assess these mechanisms, non-invasive imaging techniques provide valuable whole-body information with precise targeting. An example of such is immuno-PET (Positron Emission Tomography), which employs radiolabeled antibodies to detect specific molecules of interest. Nanobodies, as the smallest derived antibody fragments, boast ideal characteristics for this purpose and have thus been used extensively in preclinical models and, more recently, in clinical early-stage studies as well. Their merit stems from their high affinity and specificity towards a target, among other factors. Furthermore, their small size (~14 kDa) allows them to easily disperse through the bloodstream and reach tissues in a reliable and uniform manner. In this review, we will discuss the powerful imaging potential of nanobodies, primarily through the lens of imaging malignant tumors but also touching upon their capability to image a broader variety of nonmalignant diseases.

Indexed as

Diagnostic ImagingDiagnostic Techniques and ProceduresHumansMolecular ImagingNeoplasmsPositron-Emission TomographyRadionuclide ImagingSingle-Domain AntibodiesSingle-Domain Antibodiescancer-specific markersimmune checkpoint imagingimmuno-PETmolecular imagingnanobodiesradionuclide imagingSPECT/CTVHHs

Identifiers

PMID33925941
PMCPMC8146371
OpenAlexW3158313595

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.