Evidence map›Paper›PMID 24295904›Full record

ReviewAdvanced drug delivery reviews2014

Miniaturized pre-clinical cancer models as research and diagnostic tools.

Maria Håkanson, Edna Cukierman, Mirren Charnley

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Next-Generation Microfluidics for Biomedical Research and Healthcare Applications.Biomedical engineering and computational biology · 2023
    Review
  5. 3D cancer models: One step closer toFrontiers in immunology · 2023
    Review
  6. In Vitro Modeling of Non-Solid Tumors: How Far Can Tissue Engineering Go?International journal of molecular sciences · 2020
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. High-content imaging assays on a miniaturized 3D cell culture platform.Toxicology in vitro : an international journal published in association with BIBRA · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Engineering cancer microenvironments forMaterials today (Kidlington, England) · 2015
    Article
  20. 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

3 authors.

Maria HåkansonCSEM SA, Section for Micro-Diagnostics, 7302 Landquart, Switzerland.
Edna CukiermanCancer Biology Program, Fox Chase Cancer Center, Philadelphia, PA 19111, USA. Electronic address: Edna.Cukierman@FCCC.edu.
Mirren CharnleyCentre for Micro-Photonics and Industrial Research Institute Swinburne, Swinburne University of Technology, Victoria 3122, Australia. Electronic address: mcharnley@swin.edu.au.

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
3D-Adhesion Stromagenesis in Cancer PermissivenessR01CA113451 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI CUKIERMAN, EDNA · 2006 to 2016
$2.8M
NCI NIH HHS CA06927NCI NIH HHS CA113451NCI NIH HHS P30 CA006927NCI NIH HHS R01 CA113451
6 · The paper itself

Abstract

Cancer is one of the most common causes of death worldwide. Consequently, important resources are directed towards bettering treatments and outcomes. Cancer is difficult to treat due to its heterogeneity, plasticity and frequent drug resistance. New treatment strategies should strive for personalized approaches. These should target neoplastic and/or activated microenvironmental heterogeneity and plasticity without triggering resistance and spare host cells. In this review, the putative use of increasingly physiologically relevant microfabricated cell-culturing systems intended for drug development is discussed. There are two main reasons for the use of miniaturized systems. First, scaling down model size allows for high control of microenvironmental cues enabling more predictive outcomes. Second, miniaturization reduces reagent consumption, thus facilitating combinatorial approaches with little effort and enables the application of scarce materials, such as patient-derived samples. This review aims to give an overview of the state-of-the-art of such systems while predicting their application in cancer drug development.

Indexed as

Models, BiologicalTumor MicroenvironmentAnimalsAntineoplastic AgentsBiomedical ResearchDrug DiscoveryDrug Evaluation, PreclinicalHumansMicrofluidic Analytical TechniquesMiniaturizationNeoplasmsAntineoplastic AgentsBody-on-a-chipCancer modelsCell adhesion-mediated drug resistanceCell culturing devicesCombinatorial screening platformsExtracellular matrixMicrofabricated model systemsMicrofluidicsPre-clinical drug assessmentTumor microenvironment

Identifiers

PMID24295904
PMCPMC4019677

What OpenQuestion holds

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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.