Evidence map›Paper›PMID 24634812›Full record

ArticleCurrent opinion in chemical engineering2014

TISSUE ENGINEERING PERFUSABLE CANCER MODELS.

E L Fong, M Santoro, M C Farach-Carson, F K Kasper, A G Mikos

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current opinion in chemical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Engineering Breast Cancer Microenvironments and 3D Bioprinting.Frontiers in bioengineering and biotechnology · 2018
    Review
  2. Article
  3. Review
  4. Article
  5. Oncoimmunology
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

E L FongDepartment of Bioengineering, Rice University, Houston, TX 77030.
M SantoroDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005.
M C Farach-CarsonDepartment of Bioengineering, Rice University, Houston, TX 77030 ; Department of Biochemistry and Cell Biology, Rice University, Houston, TX 77251.
F K KasperDepartment of Bioengineering, Rice University, Houston, TX 77030.
A G MikosDepartment of Bioengineering, Rice University, Houston, TX 77030 ; Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005.
Rice University · US

Funding

Prostate Cancer Bone Metastasis: Biology and TargetingP01CA098912 · NCI · EMORY UNIVERSITY · PI ZAYZAFOON, MAJD · 2003 to 2019
$24.0M
Flow Perfusion Bioreactor Fabrication of Bioactive Polymer/ECM Hybrid ConstructsR01AR057083 · NIAMS · RICE UNIVERSITY · PI MIKOS, ANTONIOS G. · 2009 to 2013
$1.6M
NCI NIH HHS P01 CA098912NIAMS NIH HHS R01 AR057083
6 · The paper itself

Abstract

The effect of fluid flow on cancer progression is currently not well understood, highlighting the need for perfused tumor models to close this gap in knowledge. Enabling biological processes at the cellular level to be modeled with high spatiotemporal control, microfluidic tumor models have demonstrated applicability as platforms to study cell-cell interactions, effect of interstitial flow on tumor migration and the role of vascular barrier function. To account for the multi-scale nature of cancer growth and invasion, macroscale models are also necessary. The consideration of fluid dynamics within tumor models at both the micro- and macroscopic levels may greatly improve our ability to more fully mimic the tumor microenvironment.

Indexed as

CancerFluid flowPerfusionTissue engineeringTumor models

Identifiers

PMID24634812
PMCPMC3949682
OpenAlexW2009818398

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.