Evidence map›Paper›PMID 29135265›Full record

ArticleMolecular pharmaceutics2017

Evaluation of Early Therapeutic Effects after Near-Infrared Photoimmunotherapy (NIR-PIT) Using Luciferase-Luciferin Photon-Counting and Fluorescence Imaging.

Yasuhiro Maruoka, Tadanobu Nagaya, Yuko Nakamura, Kazuhide Sato, Fusa Ogata, Shuhei Okuyama, Peter L Choyke, Hisataka Kobayashi

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

27 citing papers in PubMed, 35 citations in OpenAlex.

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  18. Near-infrared fluorescence imaging in immunotherapy.Advanced drug delivery reviews · 2020
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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

8 authors at 1 institution in 1 country.

Yasuhiro MaruokaMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, NIH , Bethesda, Maryland 20892, United States.
Tadanobu NagayaMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, NIH , Bethesda, Maryland 20892, United States.
Yuko NakamuraMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, NIH , Bethesda, Maryland 20892, United States.
Kazuhide SatoMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, NIH , Bethesda, Maryland 20892, United States.
Fusa OgataMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, NIH , Bethesda, Maryland 20892, United States.
Shuhei OkuyamaMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, NIH , Bethesda, Maryland 20892, United States.
Peter L ChoykeMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, NIH , Bethesda, Maryland 20892, United States.
Hisataka KobayashiMolecular Imaging Program, Center for Cancer Research, National Cancer Institute, NIH , Bethesda, Maryland 20892, United States.ORCID 0000-0003-1019-4112
National Cancer Institute · US

Funding

Growth Factor Imaging and PhotoimmunotherapyZIABC010656 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2024
$31.6M
Intramural NIH HHS ZIA BC010656
6 · The paper itself

Abstract

Near-infrared photoimmunotherapy (NIR-PIT) is a newly developed cancer treatment that induces highly selective immunogenic cell death. It is based on an antibody-photoabsorber conjugate (APC) that is activated by NIR light. The purpose of this study was to investigate the effects of NIR-PIT as measured by luciferase-luciferin photon-counting and fluorescence imaging. Six days after subcutaneous injection of A431-luc-GFP cells tumors formed in a xenograft mouse model. The EGFR-targeting antibody, panitumumab, was conjugated to the photoabsorber, IRDye-700DX (pan-IR700), and was intravenously administered to tumor-bearing mice. Serial luciferase-luciferin photon-counting images and both green fluorescent protein (GFP) and IR700 fluorescence images were obtained from the same mice before and after NIR-PIT treatment (0, 10, 20, 30 min (early phase), and 24, 48 h (late phase) after NIR light exposure). Optical signal intensities were compared for each modality. IR700 fluorescence and luciferase-luciferin photon-counting images showed decreased intensities in both the early and late phases after NIR-PIT (p < 0.01). On the other hand, GFP fluorescence images showed decreased intensities only in the late phase (p < 0.01). In the early phase, GFP fluorescence images showed smaller intensity reductions compared to IR700 fluorescence and luciferase-luciferin photon-counting (p < 0.01), while in the late phase, IR700 fluorescence showed smaller intensity reductions than luciferase-luciferin photon-counting and GFP fluorescence (p < 0.05), due to redistribution of pan-IR700 within the tumor bed. In conclusion, luciferase-luciferin photon-counting imaging is suitable to evaluate early phase NIR-PIT effects, while both luciferase-luciferin photon-counting and GFP reflected later phase effects.

Indexed as

AnimalsAntibodies, MonoclonalAntineoplastic AgentsBenzothiazolesBiomarkers, TumorCarcinoma, Squamous CellCell Line, TumorErbB ReceptorsFemaleHumansImmunoconjugatesImmunotherapyIndolesInfrared RaysLuciferasesMiceAntibodies, MonoclonalAntineoplastic AgentsBenzothiazolesBiomarkers, TumorD-luciferinEGFR protein, humanErbB ReceptorsImmunoconjugatesIndolesIRDye700DX N-hydroxysuccinimide esterLuciferasesOrganosilicon CompoundsPanitumumabPhotosensitizing Agentsacute phasefluorescence imagingluciferase−luciferin photon-countingnear-infrared photoimmunotherapytherapeutic effect

Identifiers

PMID29135265
PMCPMC6333314
OpenAlexW2770254171

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.