Evidence map›Paper›PMID 28390929›Full record

ReviewDrug discovery today2017

Cancer-on-a-chip systems at the frontier of nanomedicine.

Yu Shrike Zhang, Yi-Nan Zhang, Weijia Zhang

Abstract readReview
In one paragraph

Review in Drug discovery today, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Review
  6. Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024
    Review
  7. Tumor-microenvironment-on-a-chip: the construction and application.Cell communication and signaling : CCS · 2024
    Review
  8. Review
  9. Article
  10. Mimicking angiogenic microenvironment of alveolar soft-part sarcoma in a microfluidic coculture vasculature chip.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
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  20. Review
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.

Yu Shrike ZhangDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA. Electronic address: yszhang@research.bwh.harvard.edu.
Yi-Nan ZhangInstitute of Biomaterial and Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada.
Weijia ZhangDepartment of Chemistry and Institute of Biomedical Science, Fudan University, Shanghai 200433, PR China. Electronic address: weijiazhang@fudan.edu.cn.

Funding

Recapitulating Ductal Carcinoma on a Chip for Personalized Breast Cancer TherapyK99CA201603 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHANG, Y. SHRIKE · 2016 to 2017
$356k
NCI NIH HHS K99 CA201603
6 · The paper itself

Abstract

Nanomedicine provides a unique opportunity for promoting drug efficacy through enhanced delivery mechanisms. However, its translation into the clinics has been relatively slow compared with the large amount of research occurring in laboratory settings. Given the limitations of conventional cell culture models and preclinical animal models, we discuss the potential utility of recently developed cancer-on-a-chip platforms, which maximally replicate the pathophysiology of the human tumor microenvironments, as alternatives for effective evaluation of nanomedicine. We begin with a brief discussion of nanomedicine, then chart the history of organ-on-a-chip platform development and their recent evolution as tools for modeling different cancers for assessing nanomedicine efficacy, concluding with future perspectives for the field.

Indexed as

Biomimetic MaterialsNeoplasmsAnimalsHumansModels, BiologicalNanomedicine

Identifiers

PMID28390929
PMCPMC5610924

What OpenQuestion holds

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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.