Evidence map›Paper›PMID 36980804›Full record

ArticleCancers2023

Mismatch between Bioluminescence Imaging (BLI) and MRI When Evaluating Glioblastoma Growth: Lessons from a Study Where BLI Suggested "Regression" while MRI Showed "Progression".

Mathilde Bausart, Elia Bozzato, Nicolas Joudiou, Xanthippi Koutsoumpou, Bella Manshian, Véronique Préat, Bernard Gallez

Open access · goldFull text read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Mathilde BausartAdvanced Drug Delivery and Biomaterials (ADDB) Research Group, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium.ORCID 0000-0001-9117-8338
Elia BozzatoAdvanced Drug Delivery and Biomaterials (ADDB) Research Group, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium.ORCID 0000-0003-3486-4854
Nicolas JoudiouNuclear and Electron Spin Technologies (NEST) Platform, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium.ORCID 0000-0002-6760-7400
Xanthippi KoutsoumpouDepartment of Imaging and Pathology, Translational Cell and Tissue Research Unit, Katholiek Universiteit Leuven (KULeuven), 3000 Leuven, Belgium.
Bella ManshianDepartment of Imaging and Pathology, Translational Cell and Tissue Research Unit, Katholiek Universiteit Leuven (KULeuven), 3000 Leuven, Belgium.
Véronique PréatAdvanced Drug Delivery and Biomaterials (ADDB) Research Group, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium.
Bernard GallezBiomedical Magnetic Resonance (REMA) Research Group, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium.ORCID 0000-0002-5708-1302
UCLouvain · BEKU Leuven · BE

Funding

Fund for Scientific Research 33669945Fund for Scientific Research 40003419
6 · The paper itself

Abstract

Orthotopic glioblastoma xenografts are paramount for evaluating the effect of innovative anti-cancer treatments. In longitudinal studies, tumor growth (or regression) of glioblastoma can only be monitored by noninvasive imaging. For this purpose, bioluminescence imaging (BLI) has gained popularity because of its low cost and easy access. In the context of the development of new nanomedicines for treating glioblastoma, we were using luciferase-expressing GL261 cell lines. Incidentally, using BLI in a specific GL261 glioblastoma model with cells expressing both luciferase and the green fluorescent protein (GL261-luc-GFP), we observed an apparent spontaneous regression. By contrast, the magnetic resonance imaging (MRI) analysis revealed that the tumors were actually growing over time. For other models (GL261 expressing only luciferase and U87 expressing both luciferase and GFP), data from BLI and MRI correlated well. We found that the divergence in results coming from different imaging modalities was not due to the tumor localization nor the penetration depth of light but was rather linked to the instability in luciferase expression in the viral construct used for the GL261-luc-GFP model. In conclusion, the use of multi-modality imaging prevents possible errors in tumor growth evaluation, and checking the stability of luciferase expression is mandatory when using BLI as the sole imaging modality.

Indexed as

artifactsbioluminescence imagingGL261glioblastomaluciferasemagnetic resonance imagingoptical imagingreporter gene

Identifiers

PMID36980804
PMCPMC10047859
OpenAlexW4360615078

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read15
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.