ArticleEuropean journal of cancer (Oxford, England : 1990)2014
A filter-flow perspective of haematogenous metastasis offers a non-genetic paradigm for personalised cancer therapy.
Article in European journal of cancer (Oxford, England : 1990), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Modeling tumors as complex ecosystems.iScience · 2024Review
- Metastatic cells exploit their stoichiometric niche in the network of cancer ecosystems.Science advances · 2023Article
- Impact of tumor-parenchyma biomechanics on liver metastatic progression: a multi-model approach.Scientific reports · 2021Article
- Whole blood viscosity is associated with extrahepatic metastases and survival in patients with hepatocellular carcinoma.PloS one · 2021Article
- Blood Flow Contributions to Cancer Metastasis.iScience · 2020Article
- Inferring rates of metastatic dissemination using stochastic network models.PLoS computational biology · 2019Article
- Tailored Treatment of Colorectal Cancer: Surgical, Molecular, and Genetic Considerations.Clinical Medicine Insights. Oncology · 2017Review
- In vitro and in vivo studies on the inhibitory effects of myocardial cell culture medium on growth of a human lung adenocarcinoma cell line, A549.Current oncology (Toronto, Ont.) · 2016Article
- The mathematics of cancer: integrating quantitative models.Nature reviews. Cancer · 2015Review
- A physical sciences network characterization of circulating tumor cell aggregate transport.American journal of physiology. Cell physiology · 2015Article
- Metastasis of circulating tumor cells: favorable soil or suitable biomechanics, or both?Cell adhesion & migration · 2015Review
- Biomechanics of the Circulating Tumor Cell Microenvironment.Advances in experimental medicine and biologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
Research into mechanisms of haematogenous metastasis has largely become genetic in focus, attempting to understand the molecular basis of 'seed-soil' relationships. Preceding this biological mechanism is the physical process of dissemination of circulating tumour cells (CTCs) in the circulation. Patterns of metastatic spread have been previously quantified using the metastatic efficiency index, a measure quantifying metastatic incidence for a given primary-target organ pair and the relative blood flow between them. We extend this concept to take into account the reduction in CTCs which occurs in organ capillary beds connected by a realistic vascular network topology. Application to a dataset of metastatic incidence reveals that metastatic patterns depend strongly on assumptions about the existence and location of micrometastatic disease which governs CTC dynamics on the network, something which has heretofore not been considered - an oversight which precludes our ability to predict metastatic patterns in individual patients.
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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.