Evidence map›Paper›PMID 29176592›Full record

ArticleNature methods2018

A permanent window for the murine lung enables high-resolution imaging of cancer metastasis.

David Entenberg, Sonia Voiculescu, Peng Guo, Lucia Borriello, Yarong Wang, George S Karagiannis, Joan Jones, Francis Baccay, Maja Oktay, John Condeelis

Abstract read
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed
–field-weighted citation impact
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

126 citing papers in PubMed.

  1. Endothelial Continuum and Capillary Specialization in Pulmonary Vascular Development.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  2. Review
  3. Article
  4. Tumor-Associated Macrophages Promote Brain Metastasis.bioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
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  13. Article
  14. Review
  15. Review
  16. A Redox-Shifted Fibroblast Subpopulation Emerges in the Fibrotic Lung.American journal of respiratory cell and molecular biology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

66 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

David EntenbergAnatomy and Structural Biology, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.ORCID 0000-0003-0422-7264
Sonia VoiculescuAnatomy and Structural Biology, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Peng GuoAnatomy and Structural Biology, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Lucia BorrielloAnatomy and Structural Biology, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Yarong WangAnatomy and Structural Biology, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
George S KaragiannisAnatomy and Structural Biology, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Joan JonesAnatomy and Structural Biology, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Francis BaccayDepartment of Surgery, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Maja OktayAnatomy and Structural Biology, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
John CondeelisAnatomy and Structural Biology, Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.ORCID 0000-0001-8826-2336

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI STEVEN C. ALMO · 1985 to 2026
$111.2M
Tumor Progression and MetastasisP01CA100324 · NCI · YESHIVA UNIVERSITY · PI CONDEELIS, JOHN S · 2003 to 2018
$30.0M
(7) Novel imaging devices for measurement and control of tumor microenvironmentsR01CA216248 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CADY, NATHANIEL CHARLES, CONDEELIS, JOHN S · 2017 to 2021
$2.9M
Training of Surgeons for Studies of the Tumor MicroenvironmentT32CA200561 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MCAULIFFE, JOHN · 2015 to 2024
$2.7M
High-speed/resolution whole slide scanner supported by two core facilitiesS10OD019961 · OD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI CONDEELIS, JOHN S · 2015 to 2015
$326k
NCI NIH HHS P01 CA100324NCI NIH HHS P30 CA013330NCI NIH HHS R01 CA216248NCI NIH HHS T32 CA200561NIH HHS S10 OD019961
6 · The paper itself

Abstract

Stable, high-resolution intravital imaging of the lung has become possible through the utilization of vacuum-stabilized imaging windows. However, this technique is extremely invasive and limited to only hours in duration. Here we describe a minimally invasive, permanently implantable window for high-resolution intravital imaging of the murine lung that allows the mouse to survive surgery, recover from anesthesia, and breathe independently. Compared to vacuum-stabilized windows, this window produces the same high-quality images without vacuum-induced artifacts; it is also less invasive, which allows imaging of the same lung tissue over a period of weeks. We further adapt the technique of microcartography for reliable relocalization of the same cells longitudinally. Using commonly employed experimental, as well as more clinically relevant, spontaneous metastasis models, we visualize all stages of metastatic seeding, including: tumor cell arrival; extravasation; growth and progression to micrometastases; as well as tumor microenvironment of metastasis function, the hallmark of hematogenous dissemination of tumor cells.

Indexed as

Disease Models, AnimalAnimalsFemaleImage Processing, Computer-AssistedIntravital MicroscopyLung NeoplasmsMammary Neoplasms, ExperimentalMiceMice, Inbred C57BLTumor Cells, Cultured

Identifiers

PMID29176592
PMCPMC5755704

What OpenQuestion holds

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Registered trials

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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.