Evidence map›Paper›PMID 28410210›Full record

ArticleOncotarget2017

Non-invasive assessment of murine PD-L1 levels in syngeneic tumor models by nuclear imaging with nanobody tracers.

Katrijn Broos, Marleen Keyaerts, Quentin Lecocq, Dries Renmans, Tham Nguyen, David Escors, Adrian Liston, Geert Raes, Karine Breckpot, Nick Devoogdt

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

71 citing papers in PubMed, 118 citations in OpenAlex.

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  15. Advances in PET/CT Imaging for Breast Cancer.Journal of clinical medicine · 2023
    Review
  16. Article
  17. Application Progress of the Single Domain Antibody in Medicine.International journal of molecular sciences · 2023
    Review
  18. Article
  19. Article
  20. Article

11 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

10 authors at 4 institutions in 2 countries.

Katrijn BroosLaboratory of Molecular and Cellular Therapy (LMCT), Vrije Universiteit Brussel, B-1090 Brussels, Belgium.
Marleen KeyaertsIn Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel, B-1090 Brussels, Belgium.
Quentin LecocqLaboratory of Molecular and Cellular Therapy (LMCT), Vrije Universiteit Brussel, B-1090 Brussels, Belgium.
Dries RenmansLaboratory of Molecular and Cellular Therapy (LMCT), Vrije Universiteit Brussel, B-1090 Brussels, Belgium.
Tham NguyenIn Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel, B-1090 Brussels, Belgium.
David EscorsDepartment of Microbiology and Immunology, University of Leuven (KU Leuven), 3000 Leuven, Belgium.
Adrian ListonDepartment of Microbiology and Immunology, KU Leuven - University of Leuven, 3000 Leuven, Belgium.
Geert RaesUnit of Cellular and Molecular Immunology (CMIM), Vrije Universiteit Brussel, B-1050 Brussels, Belgium.
Karine BreckpotLaboratory of Molecular and Cellular Therapy (LMCT), Vrije Universiteit Brussel, B-1090 Brussels, Belgium.
Nick DevoogdtIn Vivo Cellular and Molecular Imaging Laboratory (ICMI), Vrije Universiteit Brussel, B-1090 Brussels, Belgium.
Vrije Universiteit Brussel · BENavarrabiomed · ESVIB-KU Leuven Center for Brain & Disease Research · BEVIB-UGent Center for Inflammation Research · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blockade of the inhibitory PD-1/PD-L1 immune checkpoint axis is a promising cancer treatment. Nonetheless, a significant number of patients and malignancies do not respond to this therapy. To develop a screen for response to PD-1/PD-L1 inhibition, it is critical to develop a non-invasive tool to accurately assess dynamic immune checkpoint expression. Here we evaluated non-invasive SPECT/CT imaging of PD-L1 expression, in murine tumor models with varying PD-L1 expression, using high affinity PD-L1-specific nanobodies (Nbs). We generated and characterized 37 Nbs recognizing mouse PD-L1. Among those, four Nbs C3, C7, E2 and E4 were selected and evaluated for preclinical imaging of PD-L1 in syngeneic mice. We performed SPECT/CT imaging in wild type versus PD-L1 knock-out mice, using Technetium-99m (99mTc) labeled Nbs. Nb C3 and E2 showed specific antigen binding and beneficial biodistribution. Through the use of CRISPR/Cas9 PD-L1 knock-out TC-1 lung epithelial cell lines, we demonstrate that SPECT/CT imaging using Nb C3 and E2 identifies PD-L1 expressing tumors, but not PD-L1 non-expressing tumors, thereby confirming the diagnostic potential of the selected Nbs. In conclusion, these data show that Nbs C3 and E2 can be used to non-invasively image PD-L1 levels in the tumor, with the strength of the signal correlating with PD-L1 levels. These findings warrant further research into the use of Nbs as a tool to image inhibitory signals in the tumor environment.

Indexed as

Radioactive TracersSingle-Domain AntibodiesAnimalsB7-H1 AntigenBiomarkersDisease Models, AnimalHeterograftsHumansMiceMice, KnockoutNeoplasmsSingle Photon Emission Computed Tomography Computed TomographyB7-H1 AntigenBiomarkersRadioactive TracersSingle-Domain Antibodiesbiomarkerimmune checkpointsnanobodiesprogrammed death-1/programmed death-Ligand 1SPECT/CT imaging

Identifiers

PMID28410210
PMCPMC5522039
OpenAlexW2603528121

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.