Evidence map›Paper›PMID 33263448›Full record

ArticleDrug delivery2020

3D optical/CT as a preclinical companion imaging platform for glioblastoma drug development.

Andrei Molotkov, Mikhail Doubrovin, Nikunj Bhatt, Fang-Chi Hsu, Amanda Beserra, Rajiv Chopra, Akiva Mintz

Open access · goldAbstract read
In one paragraph

Article in Drug delivery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Spatial Multiplexing and Omics.Nature reviews. Methods primers · 2024
    Article
  4. Review
  5. Review
  6. Review
  7. 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

7 authors at 3 institutions in 1 country.

Andrei MolotkovColumbia University PET Center, Department of Radiology, Columbia University Medical Center, New York, NY, USA.
Mikhail DoubrovinColumbia University PET Center, Department of Radiology, Columbia University Medical Center, New York, NY, USA.
Nikunj BhattColumbia University PET Center, Department of Radiology, Columbia University Medical Center, New York, NY, USA.
Fang-Chi HsuDepartment of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Amanda BeserraDepartment of Radiology and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0001-7594-8654
Rajiv ChopraDepartment of Radiology and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0003-3605-6076
Akiva MintzColumbia University PET Center, Department of Radiology, Columbia University Medical Center, New York, NY, USA.
Columbia University Irving Medical Center · USAdvanced Imaging Research (United States) · USWake Forest University · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Sub-component for Institution # 16-01848 Novel moleculary targeted therapy of GBMP01CA207206 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEBINSKI, WALDEMAR · 2017 to 2021
$9.0M
Therapeutically Exploiting a Newly Isolated Neural-Like Stem Cell Against GSBR01CA179072 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MINTZ, AKIVA · 2015 to 2020
$1.6M
NCATS NIH HHS UL1 TR001873NCI NIH HHS P01 CA207206NCI NIH HHS R01 CA179072
6 · The paper itself

Abstract

Multimodality 3D Optical Imaging (OI)/CT has the potential to play a major role in drug development for glioblastomas (GBM), as it is an accessible preclinical method. To demonstrate the potential of 3D OI/CT to visualize orthotopic GBM implantation, we labeled GBM cells with Cy7 and imaged their location using 3D OI/CT. To confirm the accuracy of the spatial localization and demonstrate the ability to image locoregionally delivered therapies, we labeled mouse albumin with Cy7 (Cy7ALB) and delivered it via locoregional infusion 1 mm or 3 mm into the brain and demonstrated correlation of signal between the 3D OI/CT and post necropsy brain slices. In addition, we demonstrated the potential of systemically delivered Cy7ALB contrast to detect blood-brain barrier (BBB) permeability caused by orthotopic GBMs using 3D OI/CT. We also tested the potential of 3D OI/CT to assess focal BBB permeability induced by high intensity focused ultrasound (HIFU), a methodology being used in clinical trials to noninvasively permeabilize the BBB for systemic therapeutic delivery to GBM. We demonstrated the ability of systemic Cy7ALB contrast together with 3D OI/CT to accurately assess real-time HIFU-induced BBB permeability, which correlated to post necropsy imaging of brains. Furthermore, we demonstrated that 3D OI/CT can also image the therapeutic distribution of a Cy7-labeled anti-PD-1 antibody, a prototype translational antibody therapy. We successfully imaged real-time antibody distribution after HIFU-induced BBB permeability, which correlated with post necropsy Cy7 signal and translational PET imaging after injection of [

Indexed as

AnimalsAntibodies, BlockingBlood-Brain BarrierBrainBrain NeoplasmsCell Line, TumorDrug DevelopmentGlioblastomaHigh-Intensity Focused Ultrasound AblationImaging, Three-DimensionalImmunotherapyMiceMultimodal ImagingNeuroimagingPositron-Emission TomographyProgrammed Cell Death 1 ReceptorAntibodies, BlockingProgrammed Cell Death 1 ReceptorRadioisotopesZirconium3D optical imagingBlood–brain barrierfocused ultrasoundglioblastomaPET

Identifiers

PMID33263448
PMCPMC7717859
OpenAlexW3107599400

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.