ArticleDrug discovery today. Disease models2011
Tumor-stroma: In vivo assays and intravital imaging to study cell migration and metastasis.
Article in Drug discovery today. Disease models, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- From lab to life: technological innovations in transforming cancer metastasis detection and therapy.Discover oncology · 2025Review
- Glioblastoma Spheroid Invasion through Soft, Brain-Like Matrices Depends on Hyaluronic Acid-CD44 Interactions.Advanced healthcare materials · 2023Article
- Nanotechnology-Based Strategies to Evaluate and Counteract Cancer Metastasis and Neoangiogenesis.Advanced healthcare materials · 2021Review
- The epithelial-mesenchymal transition and the cytoskeleton in bioengineered systems.Cell communication and signaling : CCS · 2021Review
- Cancer Immunotherapy Getting Brainy: Visualizing the Distinctive CNS Metastatic Niche to Illuminate Therapeutic Resistance.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2017Review
- Microfluidic modeling of the biophysical microenvironment in tumor cell invasion.Lab on a chip · 2017Article
- Characterization of the Tumor Microenvironment and Tumor-Stroma Interaction by Non-invasive Preclinical Imaging.Frontiers in oncology · 2017Review
- Adapting coculture in vitro models of the blood-brain barrier for use in cancer research: maintaining an appropriate endothelial monolayer for the assessment of transendothelial migration.Laboratory investigation; a journal of technical methods and pathology · 2016Article
- Validation of a device for the active manipulation of the tumor microenvironment during intravital imaging.Intravital · 2016Article
- 3D printing of biomimetic microstructures for cancer cell migration.Biomedical microdevices · 2014Article
- Caught in the act: revealing the metastatic process by live imaging.Disease models & mechanisms · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The development of metastatic disease is often correlated with poor patient outcome in a variety of different cancers. The metastatic cascade is a complex, multistep process that involves the growth of the primary tumor and angiogenesis, invasion into the local environment, intravasation into the vasculature, tumor cell survival in the circulation, extravasation from the vasculature and sustained growth at secondary organ sites to form metastases. Although in vitro assays of single cell types can provide information regarding cell autonomous mechanisms contributing to metastasis, the in vivo microenvironment entails a network of interactions between cells which is also important. Insight into the mechanisms underlying tumor cell migration, invasion and metastasis in vivo has been aided by development of multiphoton microscopy and in vivo assays, which we will review here.
Identifiers
What OpenQuestion holds
Registered trials
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.