ReviewDiscover oncology2026
Exploring metabolic dynamics of cancer metastasis through in vitro models.
Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer metastasis, the leading cause of cancer related deaths, is closely associated with the dynamic metabolism and bioenergetics of these deadly cells. Unravelling how cancer cell metabolism changes during metastasis and what sets these cells apart from non-metastatic cells could potentially aid the development of future treatment options to terminally ill cancer patients. In vivo studies of the metastatic cascade from a metabolic point of view have been associated with various issues including difficulty in identifying the cells in various phases of the metastatic cascade, variable reproducibility, and small biomass of the identified cells. This could be addressed by adequate in vitro models where specific phases of metastasis can be modelled and studied in isolation, and sample biomass and metastasis specific parameters can be adapted to suit the researcher’s need. In this review we will assess the available models for studying metastasis in vitro, and their suitability for metabolomic studies.
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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.