ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2011
Real-time intravital imaging of cancer models.
Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Insights into oncovirus-driven tumor dynamics: a perspective from intravital imaging.Frontiers in cell and developmental biology · 2026Review
- Endothelial activation during the diapedesis of cancer cells: between the kiss of death and therapeutic breakthrough.Cellular & molecular biology letters · 2025Review
- Tyrosine phosphatase SHP2 increases cell motility in triple-negative breast cancer through the activation of SRC-family kinases.Oncogene · 2015Article
- Imaging windows for long-term intravital imaging: General overview and technical insights.Intravital · 2014Article
- Article
- If you don't look, you won't see: intravital multiphoton imaging of primary and metastatic breast cancer.Journal of mammary gland biology and neoplasia · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-resolution intravital imaging (IVM) has proven to be a powerful technique to visualise dynamic processes that are important for tumour progression, such as the interplay between tumour cells and cellular components of the tumour microenvironment. The development of IVM tools, including imaging windows and photo-marking of individual cells, has led to the visualisation of dynamic processes and tracking of individual cells over a time span of days. In order to visualise these dynamic processes, several strategies have been described to develop fluorescent IVM tumour models. Genetic tools to engineer fluorescent tumour cell lines have advanced the applications of cell line-based tumour models to study, for example, changes in behaviour or transcriptional and differentiation state of individual cells in a tumour. In order to study tumour progression, fluorescent genetic mouse models have been engineered that better recapitulate human tumours. These technically challenging tumour models are key in visualising dynamic processes during cancer progression and in the translational aspects of IVM experiments.
Indexed as
Identifiers
22126727What 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.