Evidence map›Paper›PMID 25701100›Full record

ArticleThe Annals of thoracic surgery2015

Ex vivo four-dimensional lung cancer model mimics metastasis.

Dhruva K Mishra, Chad J Creighton, Yiqun Zhang, Fengju Chen, Michael J Thrall, Min P Kim

Abstract read
In one paragraph

Article in The Annals of thoracic surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Selective antagonism of cJun for cancer therapy.Journal of experimental & clinical cancer research : CR · 2020
    Review
  6. TPX2 Promotes Metastasis and Serves as a Marker of Poor Prognosis in Non-Small Cell Lung Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  7. Article
  8. Article
  9. Acellular and Cellular Lung Model to Study Tumor Metastasis.Journal of visualized experiments : JoVE · 2018
    Article
  10. Article
  11. Engineering Breast Cancer Microenvironments and 3D Bioprinting.Frontiers in bioengineering and biotechnology · 2018
    Review
  12. Review
  13. SR 11302, an AP-1 Inhibitor, Reduces Metastatic Lesion Formation in Ex Vivo 4D Lung Cancer Model.Cancer microenvironment : official journal of the International Cancer Microenvironment Society · 2017
    Article
  14. Thy-1Scientific reports · 2017
    Article
  15. 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.

Dhruva K MishraDepartment of Surgery, Houston Methodist Research Institute, Houston, Texas.
Chad J CreightonDivision of Biostatistics, Dan L. Duncan Cancer Center, Houston, Texas; Department of Medicine, Baylor College of Medicine, Houston, Texas.
Yiqun ZhangDivision of Biostatistics, Dan L. Duncan Cancer Center, Houston, Texas.
Fengju ChenDivision of Biostatistics, Dan L. Duncan Cancer Center, Houston, Texas.
Michael J ThrallDepartment of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas.
Min P KimDepartment of Surgery, Houston Methodist Research Institute, Houston, Texas; Department of Surgery, Weill Cornell Medical College, Houston Methodist Hospital, Houston, Texas. Electronic address: mpkim@houstonmethodist.org.

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
NCI NIH HHS P30 CA125123
6 · The paper itself

Abstract

backgroundWe have developed a four-dimensional (4D) lung cancer model that forms perfusable tumor nodules. We determined if the model could be modified to mimic metastasis.

methodsWe modified the 4D lung cancer model by seeding H1299, A549, or H460 cells through the trachea only to the left lobes of the acellular lung matrix. The model was modified so that the tumor cells can reach the right lobes of the acellular lung matrix only through the pulmonary artery as circulating tumor cells (CTC). We determined the gene expressions of the primary tumor, CTCs, and metastatic lesions using the Human OneArray chip.

resultsAll cell lines formed a primary tumor in the left lobe of the ex vivo 4D lung cancer model. The CTCs were identified in the media and increased over time. All cell lines formed metastatic lesions with H460 forming significantly more metastatic lesions than H1299 and A549 cells. The CTC gene signature predicted poor survival in lung cancer patients. Unique genes were significantly expressed in CTC compared with the primary tumor and metastatic lesion.

conclusionsThe 4D lung cancer model can isolate tumor cells in 3 phases of tumor progression. This 4D lung cancer model may mimic the biology of lung cancer metastasis and may be used to determine its mechanism and potential therapy in the future.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsBiopsy, NeedleCell Line, TumorDisease ProgressionHumansImaging, Three-DimensionalImmunohistochemistryLung NeoplasmsModels, AnimalModels, BiologicalNeoplastic Cells, CirculatingRatsRats, Sprague-DawleySensitivity and Specificity

Identifiers

PMID25701100
PMCPMC4387006

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.