ReviewNational science review2025
Conventional techniques and emerging nanotechnologies for early detection of cancer metastasis via epithelial-mesenchymal transition monitoring.
Review in National science review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Tracking breast cancer progression using Methylscape.Science advances · 2026Article
- Ferroptosis as a therapeutic target in cancer: mechanisms, immune interactions, and emerging strategies.Molecular cancer · 2026Review
- Full spatio-temporal analyses of migration and colonization in evolution-dense 3D mapping of cancer metastases provides new insights.Molecular biology and evolution · 2026Article
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
The epithelial-mesenchymal transition (EMT) is a critical process for cancer to metastasize by promoting invasiveness and dissemination of cancer cells in the body. Understanding and tracking EMT could improve cancer therapy by intervening in metastasis. Current approaches for investigating and detecting the EMT process often utilize traditional molecular biology techniques like immunohistochemistry, mass spectrometry and sequencing. These approaches have provided valuable insights into understanding signaling pathways and identifying biomarkers. Liquid biopsy analysis using advanced nanotechnologies allows the longitudinal tracking of EMT in patients to become feasible. This review article offers a molecular overview of EMT, summarizes current EMT models used in cancer research, and reviews both traditional techniques and emerging nanotechnologies employed in recent EMT studies. Additionally, we discuss the limitations and prospects of applying nanotechnologies in EMT research. By evaluating this rapidly emerging field, we propose strategies to facilitate the clinical translation of nanotechnologies for early detection and monitoring of EMT.
Indexed as
Identifiers
What Socratic 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 Socratic graph.