ReviewExperimental biology and medicine (Maywood, N.J.)2014
A microphysiological system model of therapy for liver micrometastases.
Review in Experimental biology and medicine (Maywood, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed, 60 citations in OpenAlex.
- Expression of Selected Pharmacologically Relevant Transporters in Murine Non-Parenchymal Liver Cells Compared to Hepatocytes.International journal of molecular sciences · 2025Article
- Statins as Secondary Preventive Agent to Limit Breast Cancer Metastatic Outgrowth.International journal of molecular sciences · 2025Review
- Article
- Modeling Tumor Cell Dormancy in an Ex Vivo Liver Metastatic Niche.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Identification of hepatic fibrosis inhibitors through morphometry analysis of a hepatic multicellular spheroids model.Scientific reports · 2021Article
- Characterizing the reproducibility in using a liver microphysiological system for assaying drug toxicity, metabolism, and accumulation.Clinical and translational science · 2021Article
- The liver metastatic niche: modelling the extracellular matrix in metastasis.Disease models & mechanisms · 2021Review
- Human biomimetic liver microphysiology systems in drug development and precision medicine.Nature reviews. Gastroenterology & hepatology · 2021Review
- Tissue Chips and Microphysiological Systems for Disease Modeling and Drug Testing.Micromachines · 2021Review
- IP-10 (CXCL10) Can Trigger Emergence of Dormant Breast Cancer Cells in a Metastatic Liver Microenvironment.Frontiers in oncology · 2021Article
- The Future Application of Organ-on-a-Chip Technologies as Proving Grounds for MicroBioRobots.Micromachines · 2020Review
- The Influence of Chronic Liver Diseases on Hepatic Vasculature: A Liver-on-a-chip Review.Micromachines · 2020Review
- Statins attenuate outgrowth of breast cancer metastases.British journal of cancer · 2018Article
- A glass-based, continuously zonated and vascularized human liver acinus microphysiological system (vLAMPS) designed for experimental modeling of diseases and ADME/TOX.Lab on a chip · 2018Article
- A Model of Dormant-Emergent Metastatic Breast Cancer Progression Enabling Exploration of Biomarker Signatures.Molecular & cellular proteomics : MCP · 2018Article
- Hydrogel microenvironments for cancer spheroid growth and drug screening.Science advances · 2018Review
- Liver 'organ on a chip'.Experimental cell research · 2018Review
- Lipophilic statins limit cancer cell growth and survival, via involvement of Akt signaling.PloS one · 2018Article
- Clinically Observed Estrogen Receptor Alpha Mutations within the Ligand-Binding Domain Confer Distinguishable Phenotypes.Oncology · 2018Article
- Circadian hormone control in a human-on-a-chip: In vitro biology's ignored component?Experimental biology and medicine (Maywood, N.J.) · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 1 country.
Funding
Abstract
Metastasis accounts for almost 90% of cancer-associated mortality. The effectiveness of cancer therapeutics is limited by the protective microenvironment of the metastatic niche and consequently these disseminated tumors remain incurable. Metastatic disease progression continues to be poorly understood due to the lack of appropriate model systems. To address this gap in understanding, we propose an all-human microphysiological system that facilitates the investigation of cancer behavior in the liver metastatic niche. This existing LiverChip is a 3D-system modeling the hepatic niche; it incorporates a full complement of human parenchymal and non-parenchymal cells and effectively recapitulates micrometastases. Moreover, this system allows real-time monitoring of micrometastasis and assessment of human-specific signaling. It is being utilized to further our understanding of the efficacy of chemotherapeutics by examining the activity of established and novel agents on micrometastases under conditions replicating diurnal variations in hormones, nutrients and mild inflammatory states using programmable microdispensers. These inputs affect the cues that govern tumor cell responses. Three critical signaling groups are targeted: the glucose/insulin responses, the stress hormone cortisol and the gut microbiome in relation to inflammatory cues. Currently, the system sustains functioning hepatocytes for a minimum of 15 days; confirmed by monitoring hepatic function (urea, α-1-antitrypsin, fibrinogen, and cytochrome P450) and injury (AST and ALT). Breast cancer cell lines effectively integrate into the hepatic niche without detectable disruption to tissue, and preliminary evidence suggests growth attenuation amongst a subpopulation of breast cancer cells. xMAP technology combined with systems biology modeling are also employed to evaluate cellular crosstalk and illustrate communication networks in the early microenvironment of micrometastases. This model is anticipated to identify new therapeutic strategies for metastasis by elucidating the paracrine effects between the hepatic and metastatic cells, while concurrently evaluating agent efficacy for metastasis, metabolism and tolerability.
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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 OpenQuestion graph.