Evidence map›Paper›PMID 33976362›Full record

ArticleCommunications biology2021

Intravital mesoscopic fluorescence molecular tomography allows non-invasive in vivo monitoring and quantification of breast cancer growth dynamics.

Mehmet S Ozturk, Marta G Montero, Ling Wang, Lucas M Chaible, Martin Jechlinger, Robert Prevedel

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Multidimensional Imaging of Breast Cancer.Cold Spring Harbor perspectives in medicine · 2023
    Review
  4. Frontiers in oncology · 2023
    Article
  5. Article
  6. 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

6 authors at 4 institutions in 4 countries.

Mehmet S OzturkCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Marta G MonteroCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID http://orcid.org/0000-0002-1258-6518
Ling WangCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID http://orcid.org/0000-0002-7225-2878
Lucas M ChaibleCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Martin JechlingerCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany. martin.jechlinger@molit.eu.
Robert PrevedelCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany. prevedel@embl.de.ORCID http://orcid.org/0000-0003-3366-4703
European Molecular Biology Laboratory · DEEuropean Bioinformatics Institute · GBInstitute of Molecular Biotechnology · ATKaradeniz Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preclinical breast tumor models are an invaluable tool to systematically study tumor progression and treatment response, yet methods to non-invasively monitor the involved molecular and mechanistic properties under physiologically relevant conditions are limited. Here we present an intravital mesoscopic fluorescence molecular tomography (henceforth IFT) approach that is capable of tracking fluorescently labeled tumor cells in a quantitative manner inside the mammary gland of living mice. Our mesoscopic approach is entirely non-invasive and thus permits prolonged observational periods of several months. The relatively high sensitivity and spatial resolution further enable inferring the overall number of oncogene-expressing tumor cells as well as their tumor volume over the entire cycle from early tumor growth to residual disease following the treatment phase. Our IFT approach is a promising method for studying tumor growth dynamics in a quantitative and longitudinal fashion in-vivo.

Indexed as

AnimalsBreast NeoplasmsCell Line, TumorDisease Models, AnimalFemaleFluorescenceHumansIntravital MicroscopyMiceMice, Inbred C57BLTomographyTomography, X-Ray ComputedTumor Burden

Identifiers

PMID33976362
PMCPMC8113483
OpenAlexW3163193770

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.