Evidence map›Paper›PMID 31572718›Full record

ReviewFrontiers in bioengineering and biotechnology2019

Addressing Patient Specificity in the Engineering of Tumor Models.

Laura J Bray, Dietmar W Hutmacher, Nathalie Bock

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 3D bioprinting innovations: a new frontier in breast cancer research.Medical oncology (Northwood, London, England) · 2025
    Review
  5. Exploring bone-tumor interactions through 3DJournal of bone oncology · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Tumor-microenvironment-on-a-chip: the construction and application.Cell communication and signaling : CCS · 2024
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Biomaterial-basedCancer pathogenesis and therapy · 2023
    Review
  17. Article
  18. Review
  19. Article
  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 at 1 institution in 1 country.

Laura J BraySchool of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
Dietmar W HutmacherSchool of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia.
Nathalie BockCentre in Regenerative Medicine, Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Kelvin Grove, QLD, Australia.
Queensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer treatment is challenged by the heterogeneous nature of cancer, where prognosis depends on tumor type and disease stage, as well as previous treatments. Optimal patient stratification is critical for the development and validation of effective treatments, yet pre-clinical model systems are lacking in the delivery of effective individualized platforms that reflect distinct patient-specific clinical situations. Advances in cancer cell biology, biofabrication, and microengineering technologies have led to the development of more complex

Indexed as

3D tumor modelshydrogelsmicrofluidicspatient-derivedprimary cellstissue engineeringtumor heterogeneitytumor microenvironment

Identifiers

PMID31572718
PMCPMC6751285
OpenAlexW2971190139

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.