ReviewDisease models & mechanisms2025
Modeling metastasis - leveraging novel tools to streamline discovery in advanced cancer.
Review in Disease models & mechanisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Hepatocellular carcinoma metastasis-immune microenvironment crosstalk: emerging mechanisms and immunotherapy.Cellular & molecular biology letters · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Metastasis remains a leading cause of morbidity and mortality in patients diagnosed with cancer. A variety of in vitro and in vivo approaches have been employed to study the individual steps of the metastatic cascade. However, these methodologies are sometimes limited in their ability to recapitulate the biological complexity and heterogeneity of human tumor biology. As a result, significant knowledge gaps still exist regarding the development, growth and evolution of treatment resistance in metastatic tumors. In this Perspective, we discuss the benefits and drawbacks of current, widely used techniques to model metastatic disease. We also highlight novel approaches utilized in recent studies to confront the limitations posed by classic modeling techniques. Ultimately, we provide suggestions for ensuring scientific rigor and reproducibility in metastasis studies, and we propose key areas of focus for developing next-generation models of metastasis.
Indexed as
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.